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Renewable energy

Global additions of renewable power capacity are expected to jump by a third this year as growing policy momentum, higher fossil fuel prices and energy security concerns drive strong deployment of solar PV and wind power,

Renewable power deployment sets new milestones across the globe

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African Review

World

With the global energy crisis as a catalyst, solar PV and wind are set to lead the largest annual increase in new renewable capacity ever, new IEA report shows Global additions of renewable power capacity are expected to jump by a third this year as ...

Renewable power on course to shatter more records as countries around the world speed up deployment

Electric Energy Online

The world is set to add a record amount of renewable electricity capacity this year as governments and consumers seek to offset high energy prices and take advantage of a boom in solar power, according to a new report Thursday.

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Renewable energy surges, driven by solar boom and high fuel prices, report finds

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TribLIVE.com

Technology, such as digital twinning, allows companies to continuously monitor their energy usage and waste – cutting both costs and carbon emissions

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How tech is cutting energy waste and boosting efficiency in manufacturing

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Raconteur

The Scotsman

Energy storage

Maintaining a bank of power can also help to reduce energy costs and support growth of green schemes. The current energy system can see renewable generators paid to switch off, then gas-peaking ...

Power grab: Why energy storage is key to renewables revolution

The Prime Minister has signed Decision 500/QD-TTg dated May 15, 2023 approving the national power development plan for 2021-2030 with a vision towards 2050. The plan is known as PDP 8. PDP 8 sets the goal of developing renewable energy to serve electricity ...

Power plan focuses on gas-fired power, export of renewable energy

Vietnamnet

Interest rate

(To get this story in your inbox, subscribe to the TIME CO2 Leadership Report newsletter here.) It almost goes without saying that the most important business story of the year has been and will ...

What High Interest Rates Mean For U.S. Renewable Energy

Time

Lagos

The Lagos State Government has announced plans to power essential public facilities throughout the state using renewable energy as a way to reduce carbon emissions. The Lagos government said it ...

Renewable energy: Lagos pledges power supply boost to public facilities

The Punch Newspapers

Get the most recent info and news about General Electric on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

General Electric Company operates as a high-tech industrial company in the United States, Europe, Asia, the Americas, the Middle East, and Africa. It operates through Power, Renewable Energy, Aviation, Healthcare, and Capital segments. The Power segment offers technologies, solutions, and services related to energy production, including gas and steam turbines, generators, and power generation services. The Renewable Energy segment provides wind turbine platforms, and hardware and software; offshore wind turbines; solutions, products, and services to hydropower industry; blades for onshore and offshore wind turbines; and high voltage equipment. The Aviation segment provides jet engines and turboprops for commercial and military airframes; maintenance, component repair, and overhaul services, as well as replacement parts; integrated digital components; and additive machines and materials, and engineering services. The Healthcare segment provides healthcare technologies in medical imaging, digital solutions, patient monitoring, and diagnostics; drug discovery; biopharmaceutical manufacturing technologies; and performance enhancement solutions to hospitals, medical facilities, pharmaceutical and biotechnology companies, and life science research markets. The Capital segment leases and finances aircraft, aircraft engines, and helicopters; provides financial and underwriting solutions; and manages its run-off insurance operations which provides life and health insurance and reinsurance products. The company was founded in 1892 and is headquartered in Boston, Massachusetts.

General Electric

This is the second part of my series which focuses on Big Data Analytics, if this is your first time I recommend you read my first article which will introduce you to Big data analytics. here So what is a framework? A framework is a real or conceptual structure intended to serve as a support or guide for the building of something that expands the structure into something useful. For example, in computer systems, a framework is often a layered structure indicating what kind of programs can be built and how they would interrelate. Why do we need a framework for data analytics? In analytics, the framework allows you to move through data analysis in an organized way. It provides you with a process to follow as you scrutinize the data with your teams to identify and solve problems. data Imagine having a data-focused project with your team and start working on that project. If you’re not using a , there’s a good chance that different people will use different approaches to solve the same problem. Having different approaches will make it difficult to make a decision at different stages of your project and can be difficult to trace it back. framework The framework will allow you to focus on the business outcomes first and the actions and decisions that enable the outcomes. It helps you to focus attention on what generates value first before examining all the data that are available or data that are not available that needs to be procured. Types of Data Analytics As a or a data analyst, you might ask yourself “what analytic techniques can I use and what tools can help me to analyze my data”?. There are four types of data analytics, and the tools used to help build analysis: . data scientist Descriptive analytics, Diagnostic analytics, Predictive Analytics, and Prescriptive analytics The choice of an analytical approach based on what do you want to get or know from the data. This ranges from whether you want to identify a problem, propose a solution to solve problems, provide recommendations or actions that should be taken in the future. 1. Descriptive Analytics This helps you . It lets you look at what is happening today and what has happened in the past. This type of analytics typically provides summarized information to understand currently existing sales patterns or customer behavior, customer profitability, past competitor actions, etc. understand the current state of affairs in an organization Specific techniques might include simple box plots, histogram charts with means, minimums, and maximums. Plotting the in quartiles or deciles across a number of different variables. Or computing statistical measures like mean, mode, standard deviation, etc. data Descriptive analytics is very powerful for understanding the current state of affairs and for developing the hypothesis to anticipate where business problems and opportunities may lie. 2. Diagnostic Analytics This provides the . This type of analytics typically tries to go deeper into a specific reason or hypotheses based on descriptive analytics. reasons for what happened in the past While descriptive analytics cast a wide net to understand the breadth of the data, diagnostic analytics goes deep into the costs of issues. 3. Predictive Analytics Unlike descriptive or diagnostic analytics, predictive analytics is more forward-looking. Predictive analytics lets you . This type of analytics can help the client answer questions like, What are my competitors likely to do? What will the market look like? How will the future impact my product or service?. envision what could happen in the future what are my customers likely to do in the future? Predictive analytics typically predicts what could happen based on the evidence we have seen. (4.) Prescriptive Analytics This goes beyond providing recommendations to actually executing the actions, or making the decisions that are right for a particular situation. It does this by . looking at what happened in the past, the present state, and all the future possibilities Prescriptive analytics provides answers to the question, to achieve the desired outcomes? Often the intervention might be an optimal solution given the circumstances. Or the best possible action, given the uncertainty in the environment and the limited information available. what steps or interventions need to be taken (what is the solution) Prescriptive analytics is powerful in understanding the right actions needed today to address future possibilities and put an organization in the best possible position to take advantage of future conditions. So how can a company/organization apply this technique to solve their business problems? Let us take a look at the following case study. General Electric Company Case Study For Data Analytics Framework The following case study will help you understand how different organizations and companies can apply the framework to reach their decision and increase the number of customers and revenues. data analytics This is not going to be a complete one-to-one mapping but nevertheless to the extent that those connections exist it will help frame for you how the different levels of the analytics framework work and how the business practices and business strategy is changing as you move up. General Electric Company It is a large global company, it was founded more than a hundred years ago(1892) and it does many many things. makes light bulbs, health care stuff, energy stuff, windmills, gas turbines, jet engines, transportation equipment, railroad equipment, and so on. General Electric The use of data brought evaluation to General Electric company, about how data from industrial internet or internet obtain sources, sensors and so on are changing business, changing strategies, changing business practices, changing the management of talent in this environment and just completely revolutionizing business in some sense. Let’s look at the evolution of General Electric over the past several decades. 1. Transactional Model During the 1980s General Electric was selling different products to its customers such as light bulbs, jet engines, windmills, and other related products. Also, they separately sell parts and services this means they would sell you a certain product you would use until it needs repair either because of normal wear and tear or because it’s broken. And you would come back to GE and then GE would sell you parts and services to fix it. This was a transaction model during the time. There’s not much in the space of relationships and it’s one of the transactions of sales and services. 2. Contractual Model From the 1990s till about the 2010s, GE started moving to its more of a contractual model where they would guarantee the performance of their products. For example, they will sell you a windmill, but GE will guarantee that the windmill work for 90% of the time over the course of one year. And they give you a condition under which it would work and they will tell you what they would do if the uptime is less than 90% and so on. Now it’s no longer just a transactional relationship, where GE sells you the piece of equipment and then GE walks away. During this Model, GE has to engage with the client to work on operating, maintaining, doing preventative maintenance on the piece of equipment. To be able to guarantee this level of performance requires deeper engagement but also deeper analytics. 3. Expanded Customer Outcome Model Today, GE not only guarantees uptime but GE also helps its clients make the best use of equipment that’s has been sold to them. For example, GE now says " ". well okay, we sold this equipment, we have sensors and devices on this equipment to figure out or to compute their operating parameters to get their operational details. From that, we can do analytics to then actually tell you (client) how best to operate all of the equipment to maximize the value So for instance, if the client has bought a whole series of windmills, GE will help them optimize their setup. They may ask, " " And so on. When do you let the windmills run? How often is the wind too high that you just have to let the windmills spin freely? When do you schedule the maintenance across the different units so that overall the power output remains steady? Are you also maintaining and keeping up the lifetime of all of those windmills? So really partnering at an even deeper level with the client, to get the client to maximize their value. How Data Analytics Framework was applied in General Electric 1. Descriptive and Diagnostic Analysis The Transactional Model for GE was focusing on how much GE was selling, in sales of operational equipment, and in sales of parts and services. And what does GE need to do to drive up those sales? So in terms of analytics, GE needed to perform in order to increase its sales of equipment, parts, and services. descriptive and diagnostic analytics 2. Predictive Analytics During the level of the contractual model, GE would guarantee the performance of its equipment sold to its clients. Now they need to go into the level of predictive analytics. GE needs to predict when stuff will fail so that they can do preventive maintenance. They need to be able to predict how to operate this equipment so that it will actually stay up for 90% of the time. Finally, performance guarantees take GE to the level of predictive analytics. 3. Prescriptive Analytics. The last model for GE has expanded customer outcomes; this is at the level of prescriptive analytics. GE is telling the client(s) how they should use the equipment to maximize the value. While this provides much more value for the client, this is also much harder to do because GE needs to collect a lot more data and analyze it carefully. This has changed the business model because GE is actually selling not just the equipment, parts, and services, GE is selling the that means GE is going to be charging money for this partnership where GE can tell its clients how best to operate the equipment. So this is actually generating more value for both GE and for the clients. analysis Final Thoughts By using Big data and analytics to identify emerging trends, organizations will be able to create new service offerings for their consumers and generate new business. Using data and analytics isn’t limited to only high-tech industries. Whatever sector you operate in, be it finance, healthcare, education, Insurance, Transportation, Sports, Energy, Media, Manufacturing, retail, or just about anything else, big data and analytics can and will play a critical role. Therefore, organizations using big data solutions need to keep up with its evolving nature while those still reluctant to invest should rethink their organizational policies. This article was also published at https://becominghuman.ai/understand-data-analytics-framework-with-a-case-study-in-the-business-world-15bfb421028d

Understand Data Analytics Framework Using An Example From General Electric Company

Analysts and statisticians during World War 2 often analyzed the aircrafts that returned from war. While some experts preferred to reinforce the places that had been shot, the experts who prevailed in the debate preferred to fortify specific non-damaged locations. The evidence showed that particular regions missing the bullet holes were the areas that, when shot, caused planes to go down. The conclusion was that the bullet holes of the planes that returned proved that certain areas could be hit and still allow the jet to return. This is known as , referring to the tendency to examine survivors rather than those who do not survive. The same principle can be applied to information security. Instead of applying security controls where we wish them to be or are most afraid, what’s more important is to take note of the real risks that confront an organization and optimize accordingly. Survival Bias What is Insider Threat? According to , 82% of breaches involve “the human element.” This isn’t an insider threat alone, but the main point is that humans cause most breaches. So, security should focus on the people problem. Verizon’s 2022 DBIR One of these human factors is insider threat. But what is that? , an insider is “any person who has or had authorized access to or knowledge of an organization’s resources…” According to CISA As mentioned , “For many enterprises, the biggest risks to their data and intellectual property come from trusted insiders such as employees, partners, and contractors.“ here Insider threat, aka insider Risk, is presented by anyone with approved access to a company’s assets. These threats and risks are, therefore, always present. Is there any way around this risk? An old proverb says, ‘where there are no oxen, the stable is clean.” If you don’t want any insider threats, don’t have any people involved. Given this, there’s always an insider threat. Types of Insider Threats While there are many ways to present the categories and subcategories, I’ll narrow it down to two main groups of : insider threats ●       Malicious (e.g., Privilege Abuse) ●       Error (e.g., deletion of important files) Motivations such as financial gain or vengeance are factors, but we won’t focus on that here. We all make mistakes. For example, the risk of insider error in Healthcare is 2.5 times greater than maliciousness. Whatever the error, actions such as misclicks, an email inadvertently sent to the wrong person, or even a VM accidentally deleted, and in whatever the industry, one of the primary protections against error and maliciousness is a solid backup and restore process. While error is statistically more common in some industries, an organization’s primary activity is performing its own risk analysis (you’re not just a statistic, right?). Whether through error or malicious actions, results such as deleted files, sending private emails to the wrong people, and botched software deployments can make for bad times for a company and must be included in the risk analysis. What an insider threat looks like in real life In 2021, two GE (General Electric) employees were to federal prison for stealing trade secrets from GE from 2008 to 2019. They used the stolen data to create their own competing company. The data was leaked primarily through uploads to private repositories and personal email addresses. fined and sentenced In 2022, 1.5 million files were exposed via an . These were the PII of airport workers, including photo IDs, and this is an example of a security misconfiguration, which is #5 on the issues. unsecured S3 bucket OWASP Top Ten Cost of Insider Threat Because of all the factors involved, e.g., amount and type of data breached, legal and regulatory fines, public recompense, lost revenue, and reputation - it’s not possible to give one average to rule them all. But according to ,” the combined average of some leading insider threat activities – phishing, malicious, accidental data loss, and cloud misconfiguration – totals over 17 million USD. IBM’s “Cost of a Data Breach Full Report 2022 What can be done to mitigate the risk? Gene Spafford, renowned professor, and computer security expert, famously quipped: “The only truly secure system is one that is powered off, cast in a block of concrete, and sealed in a lead-lined room with armed guards - and even then, I have my doubts.” The best way to secure a building is to lock it up, so no one gets in. The only way to make a boat go faster is to get it out of the friction of the water. The hypothetical list goes on and on, but we know it can’t be done those ways. Appropriate action that balances protection and productivity is to be taken by those who have calculated the risk. When calculating risk, the usual formula is . If you want something more complex, you could also use Risk = threat x vulnerability x information value – but we’ll keep it simpler for now. risk = threat x vulnerability Security Controls Here are a few ideas for implementing the proper administrative, technical, and physical safeguards to reduce insider threats. Attitude The attitude must avoid treating employees like criminals while protecting the business from destructive actions. This includes . This also called left of Bang, is a military term that means mitigating and hopefully stopping risks and threats by thinking ahead and planning, preparing, & training accordingly. It could be considered Shift-Left in SDLC and Incident Response policies and procedures. thinking Left of Boom Leadership , "Leaders must fully buy into the importance of cybersecurity; only then will they make the business decisions necessary to protect the organization." Leadership – which goes beyond the title to include influence – needs to understand and take action on the need for proper cybersecurity initiatives and implementations. Business leadership provides much-needed direction and funding. SecurityIntelligence notes Technical Controls Even though we’re talking about people, solutions must include technology to keep up with the pace 24/7/365. The chosen technologies must, at minimum, provide analytics that are data-aware and intelligent, with better options, including capabilities such as behavior detection and real-time actions. Orientation toward results Insider threat is a reality, but so are ways to prevent and mitigate it. What’s your next step in protecting your organization? Anything is progress.

Insider Threats: Unmasking the Foe Within Your Organization

The automotive market stands on the verge of a major transformation with the introduction of electric vehicles, addressing the concerns of global greenhouse gas emissions and the use of exhaustible power resources. The accelerated demand for these vehicles comes from the shift in three key areas: consumer behavior, regulations, and integration of AI technology in the process flow. As per , “a total of 10.5 million new BEVs (Battery Electric Vehicles) and PHEVs (Plug-in Electric Vehicles) were delivered during 2022, an increase of +55 % compared to 2021.” EV-Volumes.com “It is clear now that electric vehicles are the future, and that the future is coming faster than many anticipated. California and other states have already declared that no new gas vehicles will be sold after 2035,” said Dave Lewis, CEO of . MoveEV China despite sporadic Covid outbreaks and lockdowns, emerged at the top of the leaderboard with an increment of +82 percent year-over-year EV sales by the end of 2022. The Chinese government's subsidies for electric vehicles, the expansion of the mini-electric vehicle industry, and the emergence of more relatively affordable brands are a few factors contributing to the sector's explosive growth in China. Following closely up with China, Europe made up about 11% of the total revenue generated. Stringent climate laws and regulations drive the European transportation industry, its program defines how laws make “reaching the EU’s climate goal of reducing EU emissions by at least 55% by 2030 a legal obligation.” “Fit For 55” However, the EV market in Europe is in the clutches of an impending energy crisis in the wake of Russia’s invasion of Ukraine. The rising cost of electricity is impacting the affordability of driving electric vehicles, to the point where they may become more expensive to run than their gas-powered counterparts. This surge in electricity prices could potentially hinder the continent's shift towards electric transportation. “When we looked at this(transition to EVs) before the energy crisis, we were looking at a tipping point of around 2023 to 2024. But if you assume you have a tariff going forward of $0.55, the tipping point then moves to 2026,” , a partner at Ernst & Young. said Maria Bengtsson Several countries are framing their policies around the threat of climate change and exhausting renewable sources pool. The Biden administration is pushing America to decarbonize by a 50 percent electric vehicle target by 2030. introducing "Today, nearly all automakers have put zero-emissions vehicles at the heart of their long-term strategies – and, perhaps more importantly, their medium-term investment plans," according to . The report emphasized how EVs are no longer a budding industry but have gained enough traction to be mainstream in markets like China, Germany, France, and the UK. S&P Global Mobility The adoption of EVs is majorly driven by advancements in technology, the integration of AI into automobiles has led to the enhancement of features that have made driving effortless and safe. As per , “ the global Automotive Artificial Intelligence (AI) Market is predicted to thrive at a CAGR of 29.2% and valued at over USD 34.30 billion over the forecast year 2022-2030”. Research and Markets It further noted that the growth in the automotive AI market is a direct reflection of increasing demands “for sophisticated vehicles and the shift of the automotive industry towards electricity.” Challenges like limited driving range, long charging times, and integration with smart grids are being addressed by the introduction of AI Technology. “ The increased sensitization of an electric vehicle leads to more data from the vehicle being available. This data can be used by manufacturers, service representatives, and drivers,” said Cliff Rice from . Rockwell Automation He further explained that manufacturers can use this data to improve driver assistance algorithms, understand driving patterns for maintenance needs, and provide advanced diagnostics and software updates to enhance vehicle performance and increase their lifespan. Predictive analytics is playing a significant role in advancing battery technology. Using predictive maintenance, these technologies are improving the efficiency and reliability of batteries. This is  important as it ensures that batteries operate at optimal levels, delivering high performance and minimizing the risk of breakdowns. “Batteries are highly complex components – chemically, electrically, and in terms of software,” , Data Scientist at Volvo. “But data analytics can help us to understand them better: how they are used, how they are affected by the driver, how they are impacted by other components in the vehicle.” said Rikard Vinge Apart from user experience, engineers are using AI to improve the designs and working efficiency of components. “By using AI in our generative thermal design approach, we are able to create and simulate thousands of iterations of a design in a matter of days, fully autonomously. To fully grasp the scale and speed at play here, in the time it takes a thermal engineer to create one design, we’ve already created 1 000,” said Diabatix CEO, Lieven Vervecken. Several companies are collaborating with big tech names to provide their users with the best of both technologies. Ford has with Google to make use of its cloud services and expertise in artificial intelligence and machine learning. Tesla AI for updating the software over the cloud providing their users with remote services. Volkswagen and Microsoft have also to unleash the power of Azure IoT and PowerBI by offering telematics and productivity solutions. collaborated leverages joined hands The major OEMs(Original Equipment Manufacturers) are convinced that the transition to the e-mobility industry is now inevitable. BYD Auto's sales of BEVs and PHEVs tripled by concentrating its production and sales efforts on electric vehicles, making it the leading manufacturer of PHEVs and BEVs in 2022. Tesla dominates global BEV sales with a 17% market share, while the Volkswagen Group saw only a 10% increase in EV sales in Europe with declining PHEV sales. Established carmakers are reinventing their business models in the hope of adapting to a new world where electricity replaces traditional gasoline and diesel.  Automakers are buying up they can get as factories undergo renovations to build electric vehicles. Some businesses are being forced to find partners due to the high expense of creating electric vehicles, while others are becoming acquisition candidates. every battery The prominent players in the industry are revving up their traditional internal combustion engines to become the frontrunner in eliminating them altogether. Leading names like Tesla, Volkswagen, Toyota, General Motors, and Nissan are introducing new models in the market. The transition to the EV industry is bringing about a lot of opportunities for innovation in the field of battery technology, braking systems, steering systems, and the arrangement of propulsions.  In 2020, more than patent applications were made, with an average grant rate of 50%, according to global patent trends in the Electric Vehicle (EV) sector. 18,000 While the patent filing trends suggest the pace of technology, it also gives a fair picture of the new changes occurring in the industry. As per a published by European Patent Office(EPO) in 2020, patent filings for batteries and other electricity storage technologies saw an annual increment of 14 % worldwide, 88 percent of which offered innovation in battery technology. report Electric vehicles raise the highest demand for Lithium supply for the manufacturing of batteries. If today’s demand is forecasted to 2050, the US market alone would require a three-fold mining of what is currently produced globally, but does it have to be this way? A found that “Lithium demand can be reduced by up to 92 percent in 2050 in comparison to the most lithium-intensive scenarios. This can be done by employing three key policy interventions: decreasing car dependency, right-sizing EV batteries, and creating a robust recycling system.” recent report The existing charging infrastructure for these batteries is far from capable of meeting the growing demand. Although huge investments are underway, skepticism looms owing to cost, choice, and soaring in the areas where battery packs have previously failed to deliver considerable driving range and took long charging times. The fastest vehicle and charger- the Lucid Air can reportedly give of range in 20 minutes, is typical for average EVs. “range anxiety,” about 300 miles 100-200 miles per charging hour To alleviate such concerns, there has been a swift effort to establish fast charging networks throughout the country, with utilities looking to increase electricity sales. More than have joined forces to establish the National Electric Highway Coalition, which aims to develop a nationwide fast-charging network along major highways in the US. The number of fast chargers has already grown significantly, with over available today,  and there are even more 60 utilities 6,500 commitments underway. General Motors Co. and Pilot Co. to partner up and build a network of charging stations across the U.S., set to boost about 20% of the number of fast chargers available to American drivers. plan As the world transitions from a fleet of gasoline-powered vehicles to electric vehicles, it is estimated that millions of people will rely on the electric grid in various ways. This means that the power generation capacity will have to increase to accommodate the growing demand for electricity without causing strain on the grid. , US, there will be a 38 % increase in electricity consumption by 2050, mainly due to the high involvement of electric vehicles. According to the Department of Energy Research conducted at the University of Texas, Austin carried out state-by-state assessment scenarios where every personal car, truck, and SUV is converted to a plug-in electric model. The found that the state energy consumption jumped to 17 % in Wyoming and 55 % in Maine. \ study The ranged from 20-30 percent in most of the states. Some states showed an available capacity to take upon the excess loads whereas, for others, ideal case assumptions for charging times were made to channel the power. The capacity of grids for EV charging depends greatly on the time of the day they are plugged in. The chance of grids overloading falls drastically if charged at when consumption is lesser. consumption off-peak hours With all the speculations and possibilities, the imagined “zero emissions” world doesn’t seem to acknowledge what happens to fossil fuel-driven vehicles running on the roads for now. One idea circulating is the remodeling of traditional engine-driven cars to electric vehicles. At a recent industry event, Toyota's CEO, Akio Toyoda, signaled that the business would enter the conversion market by displaying two vintage Corollas that had been converted to electric and hydrogen power. “The reality is that we cannot achieve zero carbon emissions in 2050 simply by switching all new car sales to EVs,” said CEO Toyoda at the “It is important to provide options for beloved cars that are already owned.” press conference. While some experts support the idea of remodeling, others believe that electrifying cars is unlikely to be a viable option for individuals with limited financial resources. “ If you’re thinking of how do I retrofit an ICE car to be an EV, I don’t think that’ll happen. People will simply buy EVs as replacement cars as usual, but they may straddle the two technologies by having a plug-in hybrid car first,” said Trevor Curwin from . Sheeva.ai The rapid expansion of the EV industry, despite the challenges posed by external factors and limitations, provides a strong indication that electric vehicles are here to stay and will play a significant role in shaping the future of transportation.

Electric Vehicles: Driving Towards a Sustainable Future With Artificial Intelligence

Vehículos eléctricos: conduciendo hacia un futuro sostenible con inteligencia artificial

Véhicules électriques : vers un avenir durable grâce à l'intelligence artificielle

इलेक्ट्रिक वाहन: आर्टिफिशियल इंटेलिजेंस के साथ एक सतत भविष्य की ओर ड्राइविंग

電気自動車: 人工知能による持続可能な未来への推進

Veículos Elétricos: Rumo a um Futuro Sustentável com Inteligência Artificial

Xe điện: Hướng tới một tương lai bền vững với trí tuệ nhân tạo

电动汽车：借助人工智能迈向可持续发展的未来

The current economic situation is unusual, and much of the advice executives receive today is similar to that from the . Common remedies such as risk assessment, cost-cutting, and preparing for unforeseen events are aimed at survival or market share maintenance. But these approaches may not work anymore due to changes like deregulation, technological advancements, population shifts, and urbanization. 2000 recession In previous recessions, established firms typically outperformed start-ups due to their economies of scale and customer relationships. With businesses from emerging markets overtaking western companies, that's no longer the case. Studies show that many top performers during the 2000 downturn lost their places within five years. Only 10% were able to reclaim their spot five years later, while 15% of today's market leaders emerged during that recession. Companies must be prepared to grow despite challenges, to succeed in a recession. Great Depression successes General Electric, Kelloggs, and Procter & Gamble made it through by providing value-for-money strategies helping customers use resources more efficiently or economize. This applies to developed and developing countries alike - they need to develop cost-innovation capabilities rather than focusing on cutting costs. Multinationals must learn from overseas rivals; otherwise, they will only survive or stay competitive in the short-term. Understanding What Customers Value Defining and measuring customer value is essential for suppliers to stay competitive. As customers focus on total costs, suppliers must understand what they truly value to persuade them to make smart decisions. To illustrate, two car dealerships are competing for customers in a local market. One dealership advertises their cars as high-quality and reliable, while the other dealership offers a specific promotion, such as $1,500 cashback or a 0% interest rate for a limited time. Customers are more likely to be attracted to the particular promotion, as it provides a clear picture of a unique value add. Hence, the latter would be more convincing. To gain an edge, some business market suppliers are using customer value models - data-driven representations of worth in monetary terms - based on assessments of the costs and benefits of their offering. Developing such models can be challenging, but those who have created and used them recommend helpful guidelines. Data Collectio n and Analysis As traditional marketing techniques become less effective, data science has emerged as a potent tool for growth marketers. With data science, growth marketers can scrutinize vast amounts of data and gain valuable insights into their audience's behavior and preferences. This enables them to develop tailored campaigns that resonate with their target market. Growth marketers have access to a wealth of data from various sources. Website analytics, social media, and customer relationship management systems can help them understand user behavior, track campaign performance, and uncover growth opportunities. For example, analyzing content engagement on social media will reveal which types of posts work best. Another crucial form of data that growth marketers can use to design targeted campaigns is demographic data. By scrutinizing demographic data, growth marketers can pinpoint the segments of their audience most likely to convert and create bespoke campaigns to engage with those segments. Machine Learning Algorithms Machine learning algorithms are a valuable tool that growth marketers can use to enhance campaign performance. These algorithms enable growth marketers to create more effective campaigns by automating marketing tasks and improving targeting accuracy. For instance, they can analyze user behavior data and detect patterns that indicate which users are most likely to convert. These insights can be used to create personalized campaigns that increase the likelihood of conversion. Machine learning algorithms can automate ad targeting by analyzing demographic and user behavior data, among other factors. This allows the algorithms to identify users who are most likely to respond to a particular ad and serve the ad to them, resulting in improved ad performance and reduced campaign management resources. The Era of Experience Economy Is Here The birthday cake is a great example of economic change. Initially, moms made cakes from farm products. With the industrial era, pre-mixed ingredients like Betty Crocker became popular. The service economy saw parents paying more for store-bought cakes. Today, busy families often pay event planning companies a lot of money to host an event. This shift marked the emergence of an “experience economy”; companies create experiences around their traditional services to attract customers better. To succeed in this new era, companies must create high-quality experiences that customers will pay for instead of getting commoditized. To do so, they must examine how experiences work and adhere to certain principles. Providing Choice and Customization Customers often face high prices when seeking a wide selection of products or personalized offerings. This is because companies in developed countries focus on achieving economies of scale and worry that offering many choices will disrupt their operations. To avoid added costs and losses from old inventory, businesses in emerging markets are transforming the rules by learning how to achieve economies of scope. They can hire large teams to customize designs and handle changeovers due to lower labor costs, combine automated processes with human intervention for flexibility and quality, and tap into broader niche markets for various options. Innovation has been essential for progress yet it remains a major frustration for global executives: 84% it's vital, but 94% are unsatisfied with the performance. Companies have access to more customer data than ever but need help to reach innovation goals. Although firms try structured approaches and experienced professionals, success is still unpredictable. The issue lies with correlations; despite knowing correlation does not imply causation, managers rely too heavily on it. Instead, they should focus on customers' desired outcomes - what the authors call "the job to be done". say Enhancing Customer Experience Successful innovations help customers overcome problems and move forward. However, it's important to remember "job to be done" means more than just a task. It represents what someone tries to achieve in a particular situation, which involves the experience they want. For example, when people downsized from their homes to condos, developers needed to focus on the customer’s circumstances instead of product features or trends. They realized prospective buyers wanted an easier life without home ownership hassles. To address this issue, they gave them a third option that met all criteria, allowing them to become buyers. Jobs have both functional and emotional dimensions – reducing stress and creating space for dining tables are examples of addressing anxieties. Creating desirable products requires understanding and defining job needs as well as designing the right experiences during purchase and use. exemplify this approach - with over 29 million sold and $500 million in sales annually. The dolls don't stand out but rather engage kids' imaginations through stories and enable families to connect with one another. Pleasant Rowland, the founder of American Girl, understood preteen girls were looking for something to validate their identities and navigate challenges. This insight led to dozens of diverse characters like Kaya and Kirsten Larson. American Girl dolls Characteristics of Experiences For companies to charge admission, they must offer an experience that customers find valuable. Designing, marketing, and delivering experiences require innovation and creativity for success and revenue growth. Experiences vary in two dimensions: customer involvement (from passive to active) and connection with the event (absorption to immersion). These categories include entertainment, education, escapism, and aesthetics - like Disney World or Las Vegas. Managers must determine what specific experience their company offers as it will define their business. People spend billions of dollars each year on items that represent special memories. Tourists get postcards of places they've visited, golfers wear apparel from courses they’ve played, and music fans buy T-shirts to remember a concert. These memorabilia cost more than regular products because people attach sentimental value to them. For example, someone attending a Rolling Stones show may pay extra for an official T-shirt with the date and location of the event. Many services, like airlines or banks, don't offer mementos, but if these companies created unique experiences, customers would be willing to shell out money for keepsakes. How to Market in a Downturn Consumers change their spending habits during recessions, and businesses often reduce costs. Many cut marketing expenses without considering customer needs, which can threaten future performance. Companies that adjust strategies, budgeting, and products to match consumer demand are better equipped to succeed through a recession and beyond. Psychology of Recession During prosperous times, marketers may overlook the fact that sales are not solely driven by advertising and products. Their disposable income influences consumer buying, confidence in the future, trust in the economy and businesses, and a lifestyle focused on consumption. Bills have piled up, incomes have stagnated or dropped, savings have dwindled, and corporate scandals have led to skepticism of marketers' messages. This challenge requires an understanding of new customer segments during a downturn. Psychologically segmenting customers based on their reactions to economic situations can be more helpful than demographic or lifestyle segmentation. These four groups include: slam-on-the-brakes, pained-but-patient, resilient optimists, and confident enthusiasts. The most vulnerable financially are in the first group and reduce spending overall. Pained-but-patient households remain resilient despite the impacts of the recession. Comfortably wealthy people feel secure and still buy close to pre-recession levels but with less conspicuousness. Live-for-today individuals extend timelines for major purchases until necessary. Consumers often prioritize their consumption during downturns by sorting products and services into four categories: essentials, treats, postponables, and expendables. Basics like food, clothing, and shelter are always considered essentials, but individual preferences determine the other classifications. In a recession, people usually reassess their spending priorities, such as downgrading an item from essential to treat or vice versa. They may also opt for cheaper product versions or seek deals for their favorite brands. As a result, shoppers become more price-conscious and less brand loyal in tough economic times. Making Marketing Investments Work During a recession, it's important to remember that loyal customers are your primary source of revenue and growth. Investing in marketing should not be seen as optional; instead, it helps you bring money from current and new customers. Companies often reduce their marketing costs more than production ones since they can cut back on communication expenses without letting go of staff. When managing the budget, businesses must distinguish between necessary and unnecessary. Creating strong brands with which customers associate and trust is one of the best ways to reduce risk during recessions. Companies like Colgate-Palmolive or Johnson & Johnson usually have better stock prices compared to those with lesser-known brands. During tough times, companies must cut ties with underperforming staff and low-yielding tactics to gain company-wide approval for re-evaluating marketing strategies and restructuring resources. The difficulty lies in making decisions that are well-defended regarding where to reduce spending, remain the same, or even increase it. To identify potential, companies should examine their brands, products, or services and decide which ones are doomed, need support, or will thrive during and after the recession. Companies should prioritize maintaining relevance to core customers to keep their brand afloat in the downturn and recovery. It all depends on the segment of core customers they belong to and how they view the company's goods or services. Value brands can efficiently target pained-but-patient consumers/prospects by offering reduced prices on essential items. Additionally, businesses can advertise repair services to this same group seeking to prolong existing appliances' life rather than buying new ones. When faced with a dwindling business prospect, it may be time to bid farewell to pre-pandemic failing brands or products that are merely surviving now. Planning for the Long Run Companies shouldn't panic and change their brand's core proposition or positioning if sales start to drop. By doing so, brands may end up confusing and angering loyal customers, provoking competition, and ultimately weakening their positions when the recession comes to an end. Instead, businesses should keep their brand steady and spend marketing resources reinforcing their core offering. This aids in preserving any buffer resulting from past investments made in establishing the brand and ensuring customer satisfaction. When opportunities are either stable or uncertain, companies must take advantage of them. Spending more on advertising during a recession can grab market share from struggling rivals - and research has shown it generally boosts financial performance for at least one year afterward. Monitoring how shoppers are reallocating budgets, changing priorities, shifting between brands/product categories, and redefining value is essential. Market research is vital to see if people will return to familiar items/brands, use substitute products, or accept innovations. Companies must remain adaptable, adjusting strategies and tactics, expecting a prolonged hard slump but ready to respond swiftly if things improve. That means having innovation pipelines prepared to roll out quickly. Build Trust During times of economic uncertainty, customers tend to rely on familiar and trusted brands for comfort. To address this, companies must use reassuring messages that strengthen emotional connections and demonstrate empathy, conveying solidarity and support during difficult times. This must be backed up by actions, such as loyalty programs and helpful information on how to save money. Engaging customers in activities that convey care and support is also important. Reiterating to customers that purchasing the brand is a wise choice can be an effective way to strengthen trust. Strategizing for Recovery Companies that prioritize customer needs and core brands will have the edge when the recession ends. It's key to understand how consumers' behavior may change after the recession so they can offer relevant products and communicate messages that meet new consumer segments’ needs. After most recessions, attitudes and behaviors return to pre-crisis levels within a year or two. But more extreme downturns could cause lasting changes in values and attitudes. Following the current recession, it's likely that post-recession attitudes and behavior will remain changed for some time. Marketers should be prepared for this shift, staying disciplined with their strategies and research, and ready to act on any changes in demand. They should also watch for trends towards less materialism, sustainability commitment, higher expectations of corporate social responsibility, and an aversion to gimmicky marketing. Consumers expect businesses to work for them and society - making decisions about what companies to support based on their practices. Companies must pay attention to these changing demands to stay successful.

Surviving a Downturn: Strategies for Effective Marketing in Tough Times

is something every investor wants to be a part of; however, it is difficult to predict what it will look like. This is why investors should learn from the past to see how trends have shaped the business industry today. The future of business This does not mean that the future would be a replay of the past. But investors can learn a great deal from foregoing patterns and make more strategic decisions for the future. For example, what happens when markets plunge, and how should you react in such situations? You might find yourself in a bind. That's because there are many behavioral patterns that become unhealthy during crisis times. As a result: buying on expectations rather than reality, selling on short-term emotions rather than long-term investments, delay in your withdrawals, resistance to change, and deterioration of values are all very dangerous. In such conditions, we experience unfounded market optimism that lacks a real foundation of fundamental valuation but instead rests on psychological factors, blind optimism, and tunnel vision. Globalization and the Future of Investment According to consensus in the 21st century, with their passive long-term strategy, buy-and-hold investors, in the long run, tend to outperform active investors who focus on market timing. However, show that this is not necessarily the case. For one, that consensus is derived from biased research, focused on the United State’s stock market only. insights from Global Financial Data Apparently, since the 1950s, the United States has experienced a sustained momentum of economic growth due to political instability, despite the occasional setbacks. However, that has not been the case for most other countries that have continued to be plagued with a tense political and economic atmosphere. In such situations, investing passively for the long term (buy and hold) is sure to deplete the value of one’s financial assets (stock returns, dividends, bonds, and all), especially with rising inflation. Nevertheless, the 21st century is an era of globalization, and you cannot afford to be satisfied with a limited worldview. Taking a global approach to building your portfolio protects you against unnecessary volatility and protects your asset classes in the long run. Growth vs Value Investing Even amidst the current stability of developed markets, , “It would be foolhardy to suggest that passive investing will continue unimpeded on its current trajectory.” as Edward Morris claims If you want to protect your assets and seize opportunities during major crises, you need to consider the consequences. Like historians, you often work with insufficient or bad data.  You have to extrapolate.  Remember, trend is not fate. According to , between 2000 and 2013, the risk-adjusted returns for value stocks were higher than that of growth stocks at various levels of capitalization. And while the former was more volatile, growth stocks performed better at shorter terms. research by John Dowdee As investors know, there are so many factors that determine how high or low the returns would be. If anything, the history of investing has consistently shown us that markets are too volatile for investors to hold on to changing rules of thumb. Investing is a strategic activity and you must always clarify your purposes, objectives, and expectations before taking the plunge. Crisis, Business Resilience, and Investment Decisions Periods of crisis strengthen an economy’s resilience and provide opportunities for innovation and surging business formation. In fact, some of the world’s biggest innovations today emerged out of the ashes of a preceding catastrophe. For instance, successful companies such as WhatsApp, Uber, Venmo, Slack, Square, etc. are innovations out of the 2008 global recession. Other in history include Netflix (1997), Microsoft (1975), General Electric (1876), and so on. companies that were started during various economic catastrophes Therefore, it is true that economic downturns provide significant opportunities to thrive; hence, these high-risk-high-reward situations can be transformative for investors. Of course, this does not mean that every investment during a crisis pays off eventually. There has to be an enabling environment for sustainable growth if economic activities must flourish afterward. In addition, a company’s strategies before, during, and after a crisis are very telling of how spectacular its recovery would be. The realize this and they have been investing even more heavily as the pandemic reached its high. FAMGA giants Volatility and Uncertainty So, how exactly do you manage market uncertainty? Volatility in a portfolio may prevent successful investment outcomes. As a matter of fact, the more volatility in your investment portfolio you have, the more difficult it is to achieve positive results. But by reducing your expected range of outcomes, you lower your anxiety and encourage more constructive and successful investment behavior. is to reduce your exposure to stock market risk by getting absorbed into a smaller set of assets. By keeping your financial footprint small, it becomes easier to manage your capital effectively over time. You can also focus on assets that matter more for your overall portfolio performance. The goal of diversification When markets are volatile, diversification can reduce destabilizing effects and increase returns. Sustaining long-term success requires disciplined and continuous effort. For this reason, investors must learn to identify their level of risk tolerance which enables them to direct their time, energy, and capital into a profitable activity. Conclusion When times are hard and there are no guarantees, having the right instincts is critical. Just as people make decisions in life by weighing up the pros and cons of various options, investors should think about their options through the lens of opportunity costs. It is worrying - and somewhat disconcerting - to think about the near-term prospects for the global economy. But history shows that these problems tend to get smoothed out, even if we find ourselves in a situation where things look suddenly unworkable. , “trend is not destiny”. Yes, we are in the midst of a technological revolution, but the truth is that human history has always been a journey — a journey toward progress and prosperity, always driven by those willing to explore new frontiers and discover what lies ahead. This is what history has taught us. As a Financial Times author puts it

What Future Business Investors can Learn from Past Trends

Reverse mentoring occurs when young people become mentors of executives to guide them on various topics of strategic and cultural relevance. Why Reverse Mentoring? When we are thinking about mentoring and the relationship between mentor and mentee, we always think about experienced professionals guiding younger professionals who are starting their careers, with tips and contributions that they can teach after years of hard work and a lot of experience. We must remember that mentoring is not a new topic. To tell you the truth, the concept of mentoring comes from the Mythology. To be more specific, when Odysseus went to the front of the battle in the Trojan War, he handed over the care of his family to a slave named Mentor, who worked as a master and coach of his son Telemachus. The role of Mentor was not only to protect Telemachus, but to guide and contribute to better develop and prepare him so that he could face the responsibilities that he would have to assume later in the life. And the word “mentor” started to be used to designate a mentor, counselor, friend, tutor, teacher and the mentoring role have not changed drastically since that time. The whole idea of mentors not only remained, but also started to be applied by organizations. However, in the reverse mentoring, the opposite happens: younger employees offer a new fresh perspective on technology, social media, innovation, new work models and even help executives and organizations to adjust their “voice” and positioning, as many traditional companies still end up being very formal when talking to customers and this is not the best way when dealing with people so connected to the digital world. Where Did This Idea Of “Reversing The Roles” Come From? This is not a complete new thing in the corporate word. The credits for this model are from Jack Welch, who implemented, in the 90’s, a reverse mentoring program at General Electric. The practice consisted of young employees training leaders of the “older” generations to use new tools that needed new type of knowledge in technology, not only technical, but also behavioral. The orientation for the company’s executives (which included Jack Welch), was to find a “reverse mentor” to help them connect with the new digital world emerging with the internet and network technologies. Today, this type of program goes far beyond teaching and learning how to use the various technologies. A survey from Deloitte showed that just a half of Millennials said that the culture of their current employers encourages employees to implement new ways of working, while only 23% believe that their leaders prioritize the development of innovative products and services. But, What Is Reverse Mentoring? Reverse mentoring could be a solution to keep the organizational environment dynamic, in the sense of keeping its managers up to date, once managers learn that younger employees can provide different insights, perspectives and knowledge in a variety of areas. It inverts the perspective of conventional mentoring. New generations have grown up with technology around them and a have greater understanding of diversity. They have accumulated extensive experiences in the digital world and lived in a connected life with the internet, so they are willing to share these cultural insights. As a result, executives are beginning to realize that knowledge share is not a one-way street. The goal is to use the knowledge that resides within an organization to take advantage of it. A well-implemented reverse mentoring program can provide numerous benefits to the organization and potentially can provide the organization with a dynamic training solution for everyone. In an article with enormous repercussions in the Harvard Business Review, social psychologist and professor of leadership and organizational behavior, Jennifer Jordan, with Michael Sorell, said that many companies struggle to attract and retain Next-Gen talent. Some of these companies are experimenting the results of reverse mentoring programs to solve this problem. These programs can increase retention, help senior executives to become more sophisticated about social media, drive cultural change and promote diversity. In the same article, we saw the case of Mark Tibergien, CEO of Advisor Solutions, who, reflecting on the future of Pershing (a financial solutions company), realized that the company had a problem: the younger generations were not interested in working in financial services. In addition, the Millennials who joined the company were leaving the organization much more quickly than their older peers. Like Pershing, many companies struggle to retain talent from the digital generation and also to stay relevant to younger consumers. In response to these challenges, leadership teams from large companies around the world are implementing reverse mentoring programs, because it can connect younger employees with members of the executive team to guide them on various topics of strategic and cultural relevance. How Easy Is It To Implement A Reverse Mentoring Program? Senior leaders being mentored must be committed to participating in the sessions and prioritizing the mentoring relationship. Reverse mentoring relationships can be especially challenging, since the mentee and the mentor are assuming unknown roles. Another major challenge is that a program of this magnitude must be implemented consciously, in order to ensure that no one feels that they are not doing their job properly. Also, senior employees who have been with the organization for a long time can feel affronted, which is a real risk if it is not handled well or if the younger mentor does not handle the situation properly, receiving training to deal with these moments. There are still some executives who challenge themselves and do not agree with the idea of being mentored by a junior employee, but most influential leaders see this as an opportunity to exchange culture perspectives, where junior and experienced employees share their knowledge, increasing understanding of both groups and improving communication and collaboration in general for the workplace. For those who grew up in a world without technology, it can be a huge challenge not only to keep up to date on the latest social platforms, collaboration tools and technological trends, but to find out how to make them applicable to their business. But the current generation has grown up with social networks and various technologies. Its members are always connected. So, reverse mentoring take advantage of this mentality and drives it towards the growth of the enterprise, building a highly engaged and enriching employee base. This type of mentoring can be the key to new opportunities and for industries to push their limits with creativity and collaboration.

What is Reverse Mentoring?

The Industrial Shift Towards In-House Prototyping and Design via Additive Manufacturing

In 2021, the popularity of cryptocurrencies and NFT in the media and the Internet soared. The interest resulted in a significant increase in attendance at cryptocurrency conferences. There are a lot of events planned for 2022, so in this article, I want to share my top 7 crypto events for this year. ETHDenver Date: February 11–20 Location: Denver, United States This longest-running ETH event in the world is a member-owned Community Innovation Festival and the first event-based DAO. Applications are currently open for the event, and it is absolutely free to attend. The community and SporkDAO funded event brings together top blockchain influencers and experts to contribute to the global blockchain ecosystem. It is also hosting a BUIDLathon space to collaborate on projects, art installations, and networking events with over $500K to be given away in prizes & bounties and $2M+ in grant and investment opportunities. This year, ETHDenver will be hosted as an in-person event, but it will also be live-streamed, and there will be two simultaneous BUIDLathons—one in-person software building competition and the other a virtual competition. The event aims to function as an incubator and launchpad to create year-round funding for projects. World Blockchain Summit Date: March 23–24 Location: Dubai This event features some of the top crypto and blockchain influencers, policymakers, government delegates, and, of course, crypto enthusiasts. The World Blockchain Summit has chosen Dubai as its destination due to the city’s welcoming stance on crypto and the government’s efforts to promote blockchain adoption. Previously, the event hosted the likes of Binance CEO Changpeng Zhao, VC Tim Draper, and Don Tapscott, co-founder of The Blockchain Research Institute, as speakers. This time, the focus of the event will be on NFT, the Metaverse, and Web 3.0 ecosystems—and their wide-reaching effect on commerce, culture, and communities. The event provides a platform to crypto businesses to showcase their products, use-case studies, and educational sessions, as well as meet with institutional investors, family offices, hedge funds, asset allocators, and angel investors on the lookout for the most promising projects in the blockchain and crypto space. List of Crypto Events in 2022 Bitcoin 2022 Date: April 6–9 Location: Miami, US This crypto event is the largest Bitcoin gathering featuring the top speakers, sponsors, and guest list, which Bitcoin Magazine hosts. The conference has relocated from Los Angeles to Miami after the city's mayor vowed to make it the world's cryptocurrency capital. This event can cost you as little as $99 to as much as $13,999. Bitcoin 2021 grabbed the headlines with speakers like Twitter co-founder and Square CEO Jack Dorsey, computer scientist Nick Szabo, MicroStrategy CEO Michael Saylor, and U.S. Senator (R-WY) Cynthia Lummis. This time, the list of speakers yet again includes Saylor as well as El Salvador President Nayib Bukele, ‘The Bitcoin Standard’ author Saifedean Ammous, Blockstream CEO Adam Back, Lightning Labs CEO Elizabeth Stark, Andrew Yang, Square Crypto’s product developer Steve Lee, and Strike CEO Jack Mallers. Blockchain Life 2022 Date: April 20–21 Location: Moscow, Russia Blockchain Life is one of the biggest events in the blockchain industry. The forum brings together more than 5,000 participants and 100 booths. Among the forum's guests are both industry professionals and those just starting their journey: traders, miners, crypto entrepreneurs, and classic businesses, investors, blockchain developers, government representatives, and many others. The most relevant industry topics will be discussed at the forum, such as: how to make money on cryptocurrencies in 2022, the development of DeFi, the regulation of cryptocurrencies in Russia, the features of effective mining, the prospects of NFT, the implementation of blockchain in business and government, and much more. The forum will traditionally include the international Blockchain Life Awards and the Startup Pitch competition for promising startups. Consensus Date: June 9–12 Location: Austin, Texas The conference, which has been happening since 2015, is returning in person in 2022, where industry experts will discuss blockchain, crypto, NFT, and Web 3 ecosystems. Consensus will be hosting tens of thousands of attendees with an impressive line-up of speakers. FTX CEO Sam Bankman-Fried, Kristin Smith, Executive Director of Blockchain Association, Freedom of Press President Edward Snowden, Messari CEO Ryan Selkis, Pantera Capital CEO Dan Morehead, Chainlink co-founder Sergey Nazarov, Cardano creator Charles Hoskinson, and several others would be headlining the conference this year. Hosted by media publication CoinDesk, Consensus will feature parties, music performances, dinners, and experiences, in addition to the regular meetings (for $799). Consensus passes, however, are non-refundable. Blockchain Expo Date: September 20–21 Location: Amsterdam, Netherlands This world-leading conference is returning in 2022 to bring together key industry experts from all over the world for two days of discussion, covering Blockchain, IoT, Cyber Security & Cloud, Artificial Intelligence, and Big data. With over 500 speakers, Blockchain Expo brings in expansive collective experience to its conference. However, unlike other events, this one also brings in executives from big brands such as BBVA, Pfizer, General Electric, Shell, Nestle, Coca Cola, BP, Boston Consulting Group, among others, to talk about the emerging technology. This event is a great way to engage with not just those working in the blockchain sector but also outside of it. Besides networking, this event offers one-on-one meetings, brand exposure, and lead generations to its attendees. Blockchain Economy Summit Date: October 1–2 Location: Dubai, UAE Given the UAE’s crypto-friendly regulations, it makes sense that these events are being hosted in the capital city, which is seeing crypto businesses and investors making a beeline to it. Back in 2018, the Dubai government launched this annual conference with the goal of bringing together thought leaders, startups, and investors all into one space to help promote the city as a crypto hub. Last year, MicroStrategy co-founder Michael Saylor, Bitcoin Maximalist Tone Vays, and Polygon co-founder Sandeep Nailwal were among the speakers discussing crypto, DeFi, NFT, and Metaverse. Unlike other events, the Dubai government makes the conference accessible for regular people by keeping the cost of the tickets at about $50. So, if you want to learn more about crypto and engage with some of the brightest minds in the space, these conferences are a great way to meet up with them, as well as other crypto enthusiasts. Final Thoughts on Crypto Events in 2022 From 2020 to 2021, cryptocurrency events have suffered significantly. Very few events were held due to covid restrictions around the world. Few conferences were able to move their events online. This is why the 2022 events are garnering such strong attention, and organizers are working on a whole range of offline solutions to ensure interest in cryptocurrencies is not just online.

Top 7 Crypto Events in 2022

Los 7 principales eventos criptográficos en 2022

Below is a Discussion With a Serial Entrepreneur Evgeny Kayumov Startups have grown to be synonymous with the high-tech industry. Edison General Electric (now GE), Nokia, and the boom of Silicon Valley all lead to today’s global startup culture. In the past decade, the world has seen large startup hubs appear in cities like Shanghai, London, Toronto, and Tel Aviv. It genuinely seems that anything to do with tech is now associated with startups. To help us lay down the important aspects that make startups successful, we are joined by a serial entrepreneur and investor . Evgeny Kayumov He provided some insights regarding the culture of startups and why they tend to dominate the informational technology scene. Innovations and Risks Innovations and risks are the main forces behind any startup vision. They offer founders the right frame of mind -- that with an idea you can reach global influence and growth. This seemed impossible only a few decades ago. The stories that these innovators tell are how we imagine and shape our future. , a founder of several IT-related companies, has been inspired by the visions many startups share. Evgeny Kayumov “The digital world of startups is not limited by a physical location or other such circumstances. This is what inspired me the most. Just a decade ago it was a selected few living and working in this way, but today it’s the majority of Earth’s population is impacted in one way or another by this. Another great thing is the mentality to always be looking for new ways to achieve a certain result. This mentality is encouraged in the startup culture. Adventurism can increase the efficiency of any team.” Usually, startups are initiated with an upfront mission to achieve some ambitious goal like treating illnesses with AI or changing the financial industry with tech. While these targets are challenging and have a great potential for reward, they also come with great risks. This is why startups are all about taking those risks, and inevitably failing on the way. Here, failure is not a punishment but an opportunity to learn and grow. An unshakable belief in what they do, and the stamina to take risks is the key to the success of teams behind the most successful startups. It’s the main factor for why the progress can be achieved in a startup in a short time when is rarely possible in other settings. Pursuing bold ideas at the right time and in the right place is a key to success in the world of entrepreneurship. Increased Funding Of course, many ambitious ideas are impossible to achieve without strong financial backing. This is why startups are depended on capital funds. Technology companies create a lot of value by, for example, building software. Since software revenues increase every year, the value of company can grow very rapidly. This is why capital market participants are the ones competing for the attention of promising startups. In the past decade, we have also seen a massive increase in venture capital deployed globally. This shift is called the Great Expansion and it brought startups enough capital to achieve the most rapid growth rate in history. Evgeny states: “Today a promising project can reach their funding goal in mere days. I like the trend of more environmental and social projects getting the resources that they use for a bigger goal. Of course, what investors are looking for is to multiply their investments, and that certainly adds pressure on startups.” Globalization Another benefit of increased VC-funding capacity is a cross-border expansion of startups. Since making returns is essential for venture capital, startup companies have to expand their market reach which usually leads to geographical expansion. When it comes to digital products that can be delivered to the customer anywhere in the world within seconds, companies frequently become global as soon as they enter the market. “It’s amazing how easy it is to launch a global company today relative to just a decade ago. It might be harder for Asian or European countries in fields that are not regulated properly yet like blockchain. Almost every English-speaking team behind startups can cover several large parts of the world without doing anything extra. However, since anyone can target any audience, the competition is way more fierce. Only the best offers make it to the end consumer. Sometimes focusing on one geolocation might be a smarter decision for a startup.”, Evgeny added. The Ecosystem and Community Support Since its early days in Silicon Valley, startups culture has been defined by a thriving ecosystem. People, companies, and organizations gather around a certain center of activity like a university or a hub of technology companies. This atmosphere of networking, sharing experience, and the free exchange of ideas facilitates the creation and scaling of more startups. Evgeny Kayumov has been active in the IT and startup community. “When I was a kid growing up in Siberia, I couldn’t dream about being a part of such a vibrant community. I live in Switzerland now and travel around the world attending conferences and conventions. The presence of this community is a big factor in my professional and personal progress.” The gathering of key players in one physical or digital location, in turn, attracts other valuable participants of the ecosystem like stakeholders and investors, mentors and talent sources, tech-savvy law and accounting agents. Even failed entrepreneurs are a valuable part of these ecosystems. Failure is an experience that can help to move the whole ecosystem one step closer to its ultimate goals. If one risky idea doesn’t play out, the ecosystem is there for the second try with its funds and talents. The Future of Startups The next big thing will almost definitely appear in the business of data science, artificial intelligence, and machine learning. Demanding intensive research, time and resources, trial and error, these fields have a better chance in the fast-paced startup culture. The current shift to remote working will also lead to changes in the way startups hire and what role they play in the talent market. More opportunities than ever will be provided to new remote employees to participate in building innovative products from anywhere in the world. A strong stream of talent from different cultures will benefit the employers and bring fresh ideas into the mix. “I can say without any doubt that startups have changed and continue to change the world. The way we interact, get news, shop, eat, all of these things are already affected by the vibrant startup culture.”, Evgeny believes. “Imagine being able to walk around in different country and interact with the world around you via another user’s feed. This is my goal for the nearest future: to launch a MetaPax service that will be used by millions around the world. It will allow 2 persons in different countries to share their reality with each other via streaming. I have been nursing this idea for the past 4 years, and now I actually have the technical possibility of its implementation. The future is definitely bright.”

Why is the Startup Culture Dominated by Tech?

What's your favorite quote? That's a trivial question. What I have on my mind are what I like to call "zipped" quotes. When you unzip these "compressed books" of thoughts, you get enough material to analyze, learn from, and remember as long as you're an entrepreneur. Meaning, as long as you live. These eight quotes shaped me as an entrepreneur. I'm sharing them with my fellow entrepreneurs and startup founders with a brief context, we may or may not agree about. Successful business is NOT based on DEMOCRACY but on MERITOCRACY! I don’t treat my employees equally because that would be totally unfair. I’m interested in results and merit. I need and reward hard-working corporate “soldiers.” I don’t have time for Divas and “individuals.” Those who think of themselves as precious individuals have all the time in the world to impress us all with their business ideas and entrepreneurship skills. Do you want to work and make money OR debate and waste time?! Make no mistake about it. You will find more democracy in meritocracy than liberalism in individualism! . -- This is your job. You want a clear conscience, go start a charity. But if you want your own island and your boss says you gotta go out there and take a beating, you go out there, take it and come back to work and say, 'do you need me to do it again Ben Affleck as Ivan Block in “Runner Runner” (2013) You know what, Jeff Bezos is being overly nice. I’d rather personally interview 500 freelancers and not recommend anyone than allow my clients to hire the wrong one to work on their projects on our platform. Hiring the wrong person is just like taking a wrong turn. You lose the precious time to get back on the right business road. Think twice because hiring twice can be very expensive and frustrating! It’s also better to wait a bit longer for the right match - the most important thing to remember. Never, never settle for choosing the “best” available candidate! Oh, but my business is going to suffer if I’m going to wait too long for my employee/prince charming. Seriously? I’m just going to hire someone for the time being. It’s going to be . a temporary solution This is exactly how business owners create . permanent problems If you want to be the best, choose the best of the best, say ‘thank you for your time’ to the rest. That’s one of my main criteria while hiring new remote team members. There’s nothing a good, hard-working worker with a good character can’t learn. I have all the time in the world to invest in my new employees learning new skills. However, I can’t and won’t even try to fix someone’s character. That’s not my job. Furthermore, it’s pointless and futile. Just to be clear about this one. I don’t hire new people whom I like but whom I believe my teams and clients would like. Good character is a good starting point. Skills and experience can and will come later. Here’s what I found about Peter Schutz: “Porsche removed long-time CEO Ernst Fuhrmann and started looking for a replacement. Ferry Porsche personally invited Schutz to apply as one of 12 potential candidates for the position. Porsche told Schutz that the company was simply not working as a unit, and needed someone to bring the various divisions together.” This “personal invitation” was the best confirmation that Porsche saw something special in Peter’s character. It turned out they were right: “Peter Werner Schutz was the president and CEO of Porsche between 1981 and 1987, a time in which the company greatly expanded sales, primarily in the United States.” “He was a motivational speaker” too. I dare to guess this great quote got mentioned many during his motivational speeches. Behind every great business quote, there’s a book that could be written about the entrepreneur who said it. So, this one is no exception. You can agree with it or not, like it or not, but you have to respect the man behind it. Welch was the youngest General Electric chairman and CEO. “Under Welch's leadership, GE increased market value from $12 billion in 1981 to $410 billion when he retired, making 600 acquisitions while shifting into emerging markets.” (Source: Wiki) Talking about business visions we often take for granted, you should know that “Welch pioneered a policy of informality at the workplace, allowing all employees to have a small business experience at a large corporation. Welch worked to eradicate perceived inefficiency by trimming inventories and dismantling the bureaucracy that had almost led him to leave GE in the past.” I sure hope that you didn’t miss the last part where Welch was willing to leave GE, the GE (for the record) in the past. Why? Because of his business vision. That’s why. Here it is what it meant to “relentlessly drive it to completion:” “Welch valued surprise and made unexpected visits to GE's plants and offices. Welch popularized so-called "rank and yank" policies used now by other corporate entities. Each year, Welch would fire the bottom 10% of his managers, regardless of absolute performance. He earned a reputation for brutal candor. He rewarded those in the top 20% with bonuses and employee stock options. He also broadened the stock options program at GE, extending availability from top executives to nearly one third of all employees. Welch is also known for abolishing the nine-layer management hierarchy and bringing a sense of informality to the company.” He is considered to be one of “the greatest corporate leaders of the 20th century” for a reason. Great business quotes are just the tips of the icebergs called entrepreneurs behind them. There’s always more to a business quote that meets the eye. So, do your research, read, and apply what you learned. Then, get ready to write and say some quotes of your own. Image credit: Pinterest user Patrick Munezero This quote means that business is: NOT a democracy! NOT a debate club! NOT a poetry society! Again, it means that you should always look for an entrepreneur behind a business quote. According to the NYT, Aristotle Onassis was one of “the world's largest privately-owned shipping fleet and was one of the world's richest men.” He also said: I have no friends and no enemies - only competitors. The business reality is that we can brainstorm ideas as long as we want and like, but at the end of the day, we need . to think and act as one And yes, you have to make others see things the way you see them, for your business vision to work. You lead, you don’t follow. Now, how “to make others see things as you see them,” without alienating your team and being perceived as a “dictator?” Well, that’s another question, and a very closely guarded business secret. Here’s another of his timeless quotes worth remembering: The secret of business is to know something that nobody else knows. So, do you know how to make others see things as you see them? According to the Economist, Harold Sydney Geneen was the “emperor of acquisitions.” As “the president and CEO of International Telephone and Telegraph Corp (ITT),” he was responsible for an amazing “series of approximately 350 acquisitions and mergers in 80 countries.” And, that’s not all. “He grew the company from a medium-sized business with $765 million sales in 1961 into an international conglomerate with $17 billion sales in 1970.” The good old business school at its finest, period. Now, you should always look for a man behind a famous quote. In Harold’s case, he was a son of immigrants who arrived in the USA at the end of WW1 (around 1918). He really had to work hard, and above all, learn a lot before becoming the CEO of ITT. “Geneen worked his way through college by serving as a runner at the New York Stock Exchange, and earned a B.S. in accounting and finance from New York University in 1934. After graduation he went to work as a senior accountant at the prestigious firm of Lybrand, Ross Brothers, and Montgomery. Geneen spent eight years at Lybrand, and then served as the chief accountant at the American Can Company (1942–1946); controller for Bell and Howell Company in Chicago (1946–1950), and Jones and Laughlin Steel Corporation in Pittsburgh (1950–1956); and executive vice president and director of Raytheon Manufacturing Company in Waltham, Massachusetts (1956–1959).” Now, I have nothing but the utmost admiration and respect for this inspirational entrepreneur. However, I disagree with his thoughts about experience and cash. I pay all of my employees more than fair. Let’s not kid ourselves. Money talks and everything else walks. I’ve never said and I never will: Hey, welcome to my company, be grateful, you can learn a lot, and be patient, money will follow. No! I pay based on my employees’ previous experience that contributes to my company. Then, it’s entirely up to my employees if they want to gain additional experience, and get paid even more. So, my word of advice is, take the cash first, and the experience will come later, and then, you will be able to demand and take even more cash. My question is simple, based on what you just read, would you rather be my or Mr. Geneen’s employee? Robert Bosch put his money where his mouth was. The rest is the history of BOSCH that spans more than 135 years with more than 400,000 employees and millions of customers worldwide. He understood that a successful business model is a two-way street. Lao Tzu said: If you would take, you must first give, this is the beginning of intelligence. I would add - the beginning of business intelligence. I’m pretty much sure that Robert Bosch asked a lot from his employees while building the business empire that outlived him. That wouldn’t be possible, in the first place, if his employees weren’t motivated and stimulated properly. Good wages are just one piece of Bosch’s business puzzle. …he was one of the first industrialists in Germany to introduce the eight-hour work day, followed by other social benefits for his associates. (Source Wiki) Robert Bosch had chosen his employees’ satisfaction over exploitation, and his business plans were rewarded accordingly. If you want to make your business bigger and stronger, you have to take care of each and every worker. Good wages are a good initial investment that guarantees profit, stability, and success in the long run. All businesses are going through tough times. Savings and cuts are necessary for business survival. However, fair wages under the circumstances that keep your employees motivated are the business line you have to hold no matter what. The reason is quite simple. You will spend more money looking for and hiring new talents trying to replace the ones you lost because you couldn’t or wouldn’t compensate adequately. I dare to say that this business model has never been more relevant than it is now during the Great Resignation triggered by the pandemic. Think about it! Robert Bosch certainly did. This timeless quote is my constant reminder to keep an eye on my business competitors, and act accordingly. If your competitor doesn’t grow, you lower your business guard. You become lazy and overconfident. You forget to grow and improve. The next thing you know, you’re out of business, and your competitor has nothing to do with it. Nothing benefits your business as the good old growing competition! Your growing competitor is doing you a huge favor. Show some gratitude. Your competitor is pushing you to work harder and longer. You have to innovate, so you can outgrow your growing competitor. With all due respect, you think you’re having a tough time with your competitor or competitors. What am I supposed to do? You have all heard about the biggest and most popular platforms where you can hire freelancers, such as Upwork, Fiverr, and Freelancer. They haven’t grown during the pandemic, they exploded in size, literally. The whole world’s gone remote! Am I in danger? Well, let me put it this way. By all the laws of nature and business, I should be an endangered species. But, here I am, and my platform goLance defies all odds and business gods. Every competitor is merciless, which leaves you with nothing but one choice, and that’s to be restless! Your competitor takes one step forward. You take two. Your competitor grows. You grow on steroids. Your competitor introduces new features and services. You revolutionize the industry. Is your competitor’s growth an excuse for you to lose? Imagine the world without competitors? What a dull place that would be. Remember: Business is slow, when your competitor doesn’t grow! My Final Thought For The Hacker Noon Nation Remote! The best business quotes would be the ones, you will write yourself one day during your entrepreneurship journey. If you agree, vote for me in the Business , Entrepreneur , and Entrepreneurship Noonies2021 Award categories!

Eight Business Quotes That Shaped Me As An Entrepreneur

When some people hear the word “team,” they automatically think of sports, for example, football, baseball, hockey, etc. Teams, though, are an integral part of society. Teamwork is necessary for industry, government, education, professional associations, and community and religious organizations, as well as any situation where people came together to accomplish a common goal. The Importance of Teams in a Successful Business Teams are vital in the business world. It seems that teams are ubiquitous in the business world, making employees who are good “team players” valuable assets to any corporation that hopes to be successful. Moreover, the record of team performance speaks for itself. For example, look at such team-oriented companies as Microsoft, General Electric, and Motorola, where teamwork has been pivotal in each company’s continued success. The Composition of Different Business Teams There are several different types of teams within a business: Manager-led teams (the manager specifies the team goal and how that goal will be accomplished) Self-managed teams (the manager specifies the goals, but the team determines how the goals will be accomplished) Self-directed teams (the team determines both the goal and how it will be accomplished) Teams are also classified by how long they will be a team. For example, in a work team, members perform job-related tasks together regularly, sometimes daily. In a task team, individuals are assembled to work together on a specific task or to solve a particular problem, after which the team disbands. Finally, a governing team is composed of individuals who serve together regularly in a leadership or management capacity. Effective Teambuilding Behaviors in the Workplace Referring to a group of individuals as a “team” does not make it a team. A “team” is composed of individuals who are all working together toward a common objective that has either been mutually agreed upon or else delegated to the team for accomplishment. There is more to a team, though, since requires a coordinated effort from each member; mutual accountability; and a high level of commitment, both to one another and achievement of the goal. Additionally, each person must see the needs of the team as more important than his or her own needs. But what is it exactly that makes some teams effective and others ineffective? teamwork What Makes a Winning Team in Business? In addition to core competency and working knowledge, winning teams possess ‘teamwork factors’ that significantly contribute to their overall success: Experience (knowledge and vision) Problem-solving ability (being proactive) Openness (willing to deal with problems and promote an exchange of ideas) Supportiveness (desire to help others) Action-orientation (rises to the challenge with energy and focus) Positive personal style (motivated and a motivator; enthusiastic and friendly) Of course, just certain behaviors can contribute to a team’s success, other (negative) behaviors can destroy teams and prevent them from achieving their goals. Such negative behaviors include the following: Inappropriate humor Toxic language Hidden agendas Conflict for the sake of conflict Internal power struggles Failure to follow through on commitments Inability to remain focused on team goals Building a Successful Team in the Workplace For a workplace team to be successful, members should establish team logistics and agree upon certain guidelines, for example: What is the team’s purpose? Where and when will members interact? How will members communicate? (Online, face-to-face, teleconference, etc?) What form of leadership, if any, will be utilized? How will decisions be made? How will tasks be divided? What resources or tools will be needed? What will be the timeline for goal completion? How will members address any sources of conflict? How will success be measured? In addition to establishing logistics and guidelines, members should strive to do the following: Reinforce positive behaviors in one another. Serve as catalysts for effective change Promote self-reflection on both an individual and team level. Help the team maintain its focus. Work continually to ensure the accomplishment of the team’s goal. In conclusion, a team is successful only in direct proportion to the involvement and dedication of each team member. And, ultimately, teams that understand the essentials of team development, as well as appreciate the contribution of each team member, will realize far greater success when it comes to workplace projects and endeavors. Business Tips for Team Success Large and small businesses have found that effective teamwork is comprised of a variety of team members with very different ideas. Two or more people with a specific performance objective or recognizable goal assemble for coordination of activity and ideas. For the teams to achieve the goal, agreement of the result should be clear, but the steps to the goal require open minds with different creative ideas. The Interpersonal Relationship of the Effective Teams The leadership of the company or the organization chooses members for a team who are known to achieve excellence and who have successful communication skills. The leader should be an individual who has proven to be an understanding listener that can bring people together. The members of the team should be able to demonstrate a focus on team spirit and see that individual contributions must merge as one unit. Successful Leadership Role Human behavior dictates that this will not happen consistently. Therefore, the leader has to be vigilant about keeping a clear and elevating goal at the center focus in every aspect of the process. If the team members become unfocused and politicized, the team will lose the sense of urgency or significance about the objective. A team cannot be allowed to bring in other goals and individual goals cannot take priority over team goals. Goals Need Clarity and Timelines In any great endeavor, whether it is a specific space shot or a marketing strategy, the clarity of the goal is of utmost importance. What, how, who, and when are the questions that need to be addressed in the first meeting of any team meeting. What is the goal, how are the goals to be achieved, who will focus on what steps and when will each step, and the final goal be reached? Incentives for Team Members Again, Human Nature is at work in everyone, regardless of how altruistic the person is. Every human being has payoffs in mind. For some team members, it is the satisfaction of a job well done, or simply keeping the job. For others, as is the case with sports teams, it is money. Each company or organization has to be aware that in special teams, incentives must be offered to keep the carrot in front of the nose. A good incentive would be award dinners when the goal is reached and certificates of achievement for the team members. In hard financial times, kudos offered in the form of high-performance marks in the personnel file goes a long way to keep team members motivated. If the accountant deems it possible, raises for those who excelled are more than great. Team-Building for Success Teams are ubiquitous in the business world. It is going without saying that every employer should know how to make his/her team more productive. In this case, they organize different kinds of team enhancement. So the following aspects should be taken into account: Listening to every member of a team, Establishing interpersonal communication, Selecting the right leader, Setting clear goals, Providing members with incentive bonuses.

Team-Building for Success: How to Build Effective and Empowered Teams

John McAfee talks about making more money than God on this episode of The HackerNoon Podcast hosted by David Smooke. podcast.hackernoon.com Listen to The HackerNoon Podcast on Apple Podcasts , Spotify , or wherever you listen to your podcasts . McAfee starts off with the impact of one's childhood and how it shapes perspectives. He shares his experiences as an entrepreneur and what it takes to become a multimillionaire. John McAfee also provides a take on the number one danger of the modern Internet and presents an opinion on the Black Lives Matter movement. McAfee shares anecdotes from his life, how he became the self-proclaimed richest man in South Virginia before hitting 18; his recent escape from the United States, his first job at General Electric, where he learned programming, and the importance of math in life. "I'm the best coder alive" "Don't schedule an interview with this guy again, he's too smart" - John McAfee Continue reading about , , , and on Hacker Noon. entrepreneurship business startup lessons privacy Also, check out via , , , or just . Hacker Noon Facebook, Instagram Twitter YouTube get a technology story published today

An Underground Interview with John McAfee 13 Months Before his Death

We live in a world where billions of data points are generated every single day from different sources, such as banks, telecommunication companies, industries, tourism, the agriculture sector, educational institutions (primary, secondary, colleges, and universities), and mobile devices. Any organization can start using their data to make data-driven decision-making that is effective and supportive of their mission and vision. Regardless of the size of the business you’re running, you need valuable data to provide you with The insights help you to know your target audience and their preferences, and as a result, your business will be able to anticipate their needs. You can use insights from big data to outperform your competition by capturing and innovating through big data. business insights. Companies like Google and Alibaba are using it to discover flaws in their services and products, suppliers and buyers, and consumer intent and preferences so they can create newer, better ones. “There were 5 Exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days ” Eric Schmidt The world data is doubling every 1.2 years. Here in Tanzania, we are more than 60.9 million people, more than 43.46 million mobile subscribers (72% penetration), more than 23 million internet users (38% penetration), and 4.40 million social media users. Each day we spend an average of 27.6 million texts, and we are not consuming it but creating it, . 80% of these new data are unstructured, it is too large and too complex, and too disorganized to be analyzed by traditional tools. we are Data Agents “Everything we do generate data” — Dr. Michael Rappa The question is how we can benefit from this huge amount of data generated every day? In this article, you will learn what is big data, big data analytics, and the life cycle of big data analytics. What is Big Data? Big Data is the massive amount of data that cannot be stored, processed, and analyzed using traditional tools due to its volume, velocity, value, and veracity. Big Data sets are generally huge (tens of terabytes) and sometimes crossing the threshold of . petabytes Many big companies around the world like Alibaba, Amazon, Netflix, General Electric, and others use big data for decision making. There’s no doubt that Big Data will continue to play an important role in many different industries around the world. In order to reap more benefits from Big Data, it’s important for any company to train its employees about Big Data management. With proper management of Big Data, your business will be more productive and efficient. The importance of Big Data does not revolve around how much data a company has, but how a company utilizes the collected data. Every company uses data in its own way; the more efficiently a company uses its data, the more potential for business growth. Example telecommunication companies in Tanzania can use data generated by mobile subscribers and internet users to provide better services to their customers and add competitive advantages. But Big Data and its rows form have no value to us we must try to derive meaningful information from it in order to benefit from this Big Data by using . Big Data analytics What is Big Data analytics? Big Data analytics is the process of extracting useful information by analyzing different types of big data sets. Big Data analytics is used to for the benefit of organizational decision-making. discover hidden patterns, market trends, consumer preferences, and unknown correlations Big Data analytics is more than technology is the new way of thinking, making a data-driven decision and increase their operational efficiency, it will help business companies better understand their customer's experience, support product development, and innovation find hidden opportunities even help our government better serve citizens. The Life Cycle of Big Data Analytics In order to provide a framework to organize the work needed by an organization and deliver clear insights from Big Data, it’s useful to think of it as a cycle with different stages. These stages will help you reach your objectives. The upcoming sections explore a specific data analytics lifecycle that organizes and manages the tasks and activities associated with the analysis of Big Data. The first and most important stage is to have a business case that defines the reasons and purpose behind the analysis. The business case must be identified, created, assessed, and approved. We need to understand why we are analyzing so that we know how to do it and what are the different parameters have to be looked into. The business case helps determine assessment criteria and guidance for the evaluation of the analytic results. (a) Business case evaluation A broad variety of data sources are identified and gather all the data which will be required for analysis. Identifying a wider variety of data sources may increase the probability of finding hidden patterns and correlations. Sometimes the required datasets and their sources can be internal and/or external to the enterprise depending on the scope of the analysis. (b) Identification of data All the identified data from the previous stage is gathered and filtered to remove corrupt data or data that have no value to the analysis objectives. Keep in mind, not all data collected during the previous stage will have meaningful information. (c) Data filtering Some of the meaningful data identified from the third stage can be incompatible with the analysis tools. The data that is not compatible with the tool is extracted and then transformed into a form that is compatible with the analysis tools you plan to use. (d) Data extraction In this stage, data with the same fields across different datasets are integrated together to arrive at a unified view. Example Date and ID. (e) Data Aggregation This is a very important stage in the life cycle of big data analytics. Data analysis is the process of evaluating data using analytical and statistical tools to discover patterns or correlations. This stage can be iterative means the analysis process can be repeated until desired results are uncovered. (f) Data analysis The results of the Data Analysis stage are then graphically communicated using tools like Tableau, PowerBI, and QlikView. Graphs generated can help to communicate the analysis results for effective interpretation by business users and then obtain values from the analysis. (g) Visualization of data The Analytical results obtained are made available for different business stakeholders to support business decision-making. This will help to improve data-driven decision-making in the company rather than depending on your personal experiences. (f) Utilization of Analysis results 👏👏 you have made it to the end of this article!. I hope you have learned something new that will help you in your career. Congratulations , If you learned something new or enjoyed reading this article, please share it so that others can see it. Until then, see you in the next post! You can also find me on Twitter . @Davis_McDavid Sources Tanzania Mobile White Paper 2019 2. https://www.internetworldstats.com/stats1.htm 3. TCRA Telecommunication Reports This article was also published on Medium .

Get Started With Big Data Analytics For Your Business.

In March 1971, Intel introduced the world's first general microprocessor, the . It had ~2,300 transistors and cost $60. Intel 4004 Fast forward almost 50 years, and the newest iPhone has nearly transistors (but unfortunately costs a little more than $60). 12 billion Many of the programming languages we use today were not introduced until the 90s (Java was introduced in 1996). However, there is one programming language that is still as popular today as it was when it was introduced nearly 50 years ago: SQL. This article will discuss the events that led to the introduction of relational databases, why SQL grew in popularity, and what we can learn from its success. History of Early Database Management - IDS and CODASYL Image Source In 1962, Charles W. Bachman (no relation to Erlich Bachman) was working as part of a small team at General Electric. One year later, Bachman’s team introduced what would later be recognized as the first database management system - the Integrated Data Store (IDS). 10 years later, Bachman would receive the coveted , often called the Nobel Prize of computer science, for his contributions to computing with IDS. Turing Award What was IDS? In the early 1960s, computer science was just beginning as an academic field. For context, The American Standard Code for Information Interchange (ASCII) was not introduced until 1963. To understand IDS we have to first understand the two main forces that led to its development: The introduction of disk storage A migration to high-level programming languages Disk storage Above: Moving a RAMAC 305 In 1956, IBM introduced the first commercial hard disk drive, the . RAMAC 305 The introduction of disk drives allowed programmers to retrieve and update data by jumping directly to a location on the disk. This was a vast improvement from its predecessor, tape drives, which required moving sequentially through the tape to retrieve a specific piece of data. But developers now had to figure out where records were stored on the disk. Due to the limitations of in early operating systems, this was an advanced task reserved only for experienced programmers. file management systems Developers needed a solution to simplify working with disk drives. High-level programming At the same time, computer science was beginning to move from innovators to early adopters on the . Low-level programming languages like Assembly were popular among the early academics, but regular programmers were switching to higher-level programming languages like COBOL for their usability. adoption curve IDS solved for disk storage and high-level programming. IDS allowed developers to use high-level programming languages, like COBOL, to build applications that input and retrieve data from disk storage. Because of this function, IDS has received the distinction as the first database management system. So what was IDS? CODASYL - A new standard for database management In 1969, the Committee of Data Systems Languages (CODASYL) released a report proposing a standard for database management. Bachman was part of the committee, and the report drew heavily from IDS. The CODASYL Data Model introduced many of the core features in database management systems that we use today: SchemasData definition language (DDL) Data manipulation language (DML) Most importantly, IDS and CODASYL introduced a new way for modeling data that influenced the eventual development of SQL - the . network data model The Network Data Model - Better Than Todays Relational Model? Above: Network model example A data model is a standardized way to describe (model) the world (data). The previous hierarchical data model used tree structures to describe data, but these were limited to one-to-many relationships. The new network model allows records to have multiple parents, which created a . By allowing multiple parents, network models were able to model many-to-one and many-to-many relationships. graph structure In the network model, relationships between tables were stored in . Each set had an (i.e. teachers) and one or more (i.e. classes and students). sets owner members One of the key benefits of the network model is that related records in a set were connected directly by pointers. Sets were implemented using next, prior, and owner pointers, which allowed for easy traversal similar to a linked list. The low-level nature of network data models offered performance benefits, but they came at a cost. The network data model had increased storage costs because every record had to store extra pointers to its previous and parent record. The Arrival of The Relational Model Above: Example of a relational model In 1970, 8 years afters IDS, Edgar F. Codd introduced the relational model in his seminal paper (also earning him a spot with Bachman as a Turing Award recipient). “A Relational Model of Data for Large Shared Data Banks” Codd showed that all data in a database could be represented in terms of ( in SQL) grouped together into ( in SQL). To describe the database queries, he invented a form of first-order predicate logic called . tuples rows relations tables tuple relational calculus Tuple relational calculus introduced a for querying data. Declarative programming languages allow programmers to say they want to do without describing to do it. declarative language what how This new declarative language was much easier to use for developers. The relational model laid out all the data in the open. Developers could retrieve all the data from a table, or read a single row, in one command (thanks ). query optimizer Gone were the days of following a labyrinth of pointers to find your data. Relational vs Network Data Models Relational databases decreased the high storage costs that network databases had by . Normalization was a process of decomposing tables to eliminate redundancy, and thereby decrease the footprint of data on disk. normalizing data However, relational databases had an increased CPU cost. In order to process normalized data, relational databases had to load tables in memory and use compute power to “join” tables back together. Let’s walk through the process of finding all classes and students for a given teacher with a relational model. The database system would first perform an operation to retrieve all relevant classes. Then it would perform a second operation to retrieve student data. All of this data would be stored in memory, and it would run a third operation to merge the data before returning the result. Performance comparison between relational and network models In a performance case study using real data, found that network database models had 23x better insert performance and 123x faster query performance. Raima So why are relational databases the leading database solution? Usability The relational model was more flexible to changes, and its declarative syntax simplified the job for programmers. And Moore’s law was working its magic in the background. The cost of computing continued to decrease, and eventually, the increased computing cost of relational models was outweighed by the productivity gains. Fast forward 50 years, and now the most expensive resource in a data center is the CPU. The Rise and Reign of SQL And finally, we've come to the arrival of the SQL that we all love. 4 years after the publication of Codd’s paper, Donald Chamberlin and Raymond Boyce published “ ”. SEQUEL: A Structured English Query Language They described SEQUEL as “a set of simple operations on tabular structures, […] of equivalent power to the first-order predicate calculus”. IBM saw the potential and moved quickly to develop the first version of SEQUEL as part of their System R project in the early 1970s. The name would later change to SQL due to with the UK-based Hawker Siddeley aircraft company. trademark issues The next big step in SQL's adoption was almost a decade later. In 1986, the American National Standards Institute (ANSI) and the International Organization for Standardization (ISO) published the first official SQL standard: . The standard broke down : SQL-86 SQL into several parts commands to define and modify schemas and relations Data Definition Language (DDL): commands to query, insert and delete information from a database Data Manipulation Language (DML): commands specifying the timing of transactions Transaction Control: commands to set constraints in the information in a database Integrity: commands to define views Views: commands to specify user access Authorization: commands that specify how to embed SQL in other languagesCompetitors to SQL Embedded SQL: Between 1974 to today there have been numerous competitors that have tried stealing market share from SQL’s dominance as a query language. These new syntaxes often catered to a specific, new technology: Lisp -> .NET -> Ruby on Rails -> CLSQL LINQ ActiveRecord Fast forward 35 years and SQL is still ubiquitous with databases. How has SQL maintained its reign as a query language, and what can we learn from its story? The Secret to SQLs 50 Year Reign - And What We Can Learn Above: Stack Overflow Developer Survey, 2017 We started this story with Bachman’s introduction of the first database management system, IDS. We talked about how the shift to disk storage and high-level programming necessitated a new way of working with data. Then CODASYL came and standardized database management. IDS and CODASYL introduced the new network data model, and finally, Codd dropped the relational model. This happened over . eight years How did SQL manage to stick around for the next 50 years? I think these are the four main reasons: Built on first principles Bushnell’s law Listening and adapting Adoption of APIs Built on first principles A first principle is a foundational proposition that can not be deduced from any other proposition or assumption. For instance, combining hydrocarbons with oxygen to create a chemical reaction. And this is still the principle that powers the internal combustion engines in every car. In 1970, Codd created a new first principle for databases: tuple relational calculus. This new logic created led to the relational model, which then led to SQL. Tuple relational calculus is the chemical reaction, relational models are the internal combustion engines, and SQL is the car. In a later post, we’ll discuss new technologies that are trying to create the electric engine for databases. Bushnell’s Law Building on first principles alone can not guarantee success. Assembly is as close as programmers can get to typing 1s and 0s, but it was still replaced with COBOL (and later C). The missing ingredient was usability. We saw the same story play out with the switch from the network to a relational model. The network model had faster performance, but every company today uses relational databases because of its simplicity ( ). to get started "The best games are easy to learn but hard to master" - Nolan Bushnell, founder of Atari Nolan Bushnell knew the secret to getting people to use a new product. Assembly unfortunately was both difficult to learn and difficult to master. SQL found the perfect balance. With ~10 SQL commands, anyone can learn the 20% that will get you 80% of the way there.  But there is a long path of indexing, views, and optimization to becoming a master. Listening and Adapting Query languages are not timeless monoliths but adaptive groups of standards that change over time. The SQL standard has continued to adapt over time and incorporate feedback from its users. Since the original conception, we have seen 10 different SQL standards all with important updates. Here were 3 big ones: Added regular expression matching, recursive queries (e.g. transitive closure), triggers, support for procedural and control-of-flow statements, non-scalar types (arrays), and some object-oriented features (e.g. structured types). Support for embedding SQL in Java (SQL/OLB) and vice versa (SQL/JRT). SQL:1999: Introduced XML-related features (SQL/XML), window functions, standardized sequences, and columns with auto-generated values (including identity-columns). SQL:2003: Adds row pattern matching, polymorphic table functions, JSON. SQL:2016: SQL also demonstrates the power of creating rails that other products can build on. Instead of enforcing a syntax, SQL provides a standard for each database to create its own implementation (T-SQL, MySQL, PSQL, etc). Adoption of APIs The final secret behind SQL’s success has been the rise of application programming interfaces (API). APIs simplify programming by abstracting the underlying implementation and only exposing objects or actions the developer needs. APIs allow SQL to continue to adapt to new technologies with specialized syntax. In 2006 Hadoop introduced the distributed file system (HDFS), which was initially inaccessible to the SQL syntax. Then in 2013 Apache created Apache Impala, which allowed developers to use SQL to query HDFS databases. The Fascinating Story of SQL SQL is one of the most ubiquitous programming languages today, but we often forget how long of a history it has had. Its journey started at the dawn of modern computing and was brought to life by 2 Turing award recipients. I've shared my thoughts on why SQL has been able to maintain its dominance: first principles, Bushnell’s law, adapting, and APIs. Leave a comment and let me know what you think were the major factors that contributed to SQL’s success. There is one more technology to talk about that hasn’t changed in 50 years. . SQL editors Working with databases is becoming an increasingly collaborative process as more people learn SQL. Developers today may be seen working with individuals on a marketing team to analyze user data or debugging queries with a data scientist. Arctype has built a collaborative SQL editor that allows you to easily share databases, queries, and dashboards with anyone. Join our growing community and . try out Arctype today Previously published at: https://blog.arctype.com/sql-50-years/ .

SQL's 50 Year Reign: Here's Why SQL Is Still Relevant Today

As the world is moving forward to using variants of technologies, so has automation improved its ways to make our work easier. Though the word automation was coined in the 1950s, very few people really understood what it meant. But with the time automation has seeped through our daily life functions. Since the advent of robotic process automation, a lot of new players have emerged.  If you are looking for top robotic process automation companies, this list will help you. To get improved productivity by automating processes in your company, check out the information below of best RPA developers with short reviews. Impersonate human work process, for example, signing into applications, entering information, and so forth. It is basic for you to pick the privilege RPA Services for long haul accomplishment as it can actualize the innovation rapidly and productively without rolling out any improvements in the current framework. The list of top RPA companies dependent on their general assistance and execution to facilitate your work. 1. VironIT RPA Company The company has been growing for 15 years. During that time VironIT has extended the list of customers and improved its efficiency. VironIT developers team has implemented more than 600 completed projects, that means more than 400 customers have chosen this company. VironIT’s activity aims to develop high-quality products along with meeting customers’ needs and requirements with regard to state-of-the-art technologies. 2. Accelirate The company’s development system is based on client experience and consolidates ROI and Business Value at each stage. Accelirate approves introductory suspicions at the Analysis stage to guarantee that the offer still remains constant since the company find out about a procedure/work. Accelirate guarantees that inside the Design stage, its procedure examiners indicate KPIs and Metrics so that these can be caught by the Automation Developers. Dashboards definitions and Metric Reporting is incorporated inside the execution stage so when the task goes live, the business has all information it should have the option to screen and gauge execution. 3. BPM-D BPM-D® has profound roots in business process counselling with the two authors having 25+ years of working in that field, including top administration positions at IDS Scheer. The subsequent expertise is methodically moved to the representatives and, through tasks, to customers. Likewise, BPM-D has been teaming up with top scholastic establishments, for more than 15 years, guaranteeing creative, forward-looking and maintainable arrangements. Affiliations with top colleges like the University of Pennsylvania, Philadelphia University or Widener University help to keep offer current and drawing in the correct ability. Cosy associations with driving and speciality arrangements sellers, in the BPM territory, are utilized where fitting. 4. Deloitte So many years of hard work and commitment to making a real difference, Deloitte has grown in scale and diversity—approximately 245,000 people in 150 countries and territories, providing audit & assurance, tax, risk and financial advisory and consulting services—yet the company’s shared culture remains the same. For Deloitte, good isn't good enough. The company aims to be the best at all that it does—to help clients realize their ambitions, to make a positive difference in society, and to maximize the success of its client’s. This drive fuels the commitment and humanity that run deep through Deloitte’s every action. 5. Genpact Genpact started in 1997 as a special General Electric unit. In January 2005, Genpact turned into an autonomous organization to bring the procedure ability and one of a kind DNA in Lean administration to customers past GE, and in August 2007, the company turned into a traded on an open market organization. Genpact is a worldwide expert administrations firm that makes business change genuine. Genpact drives advanced development and carefully empowered wise tasks for customers, guided by experience running a huge number of procedures essentially for Global Fortune 500 organizations. 6. Hexaware Hexaware’s strategy is to automate, cloudify, and transform everything to improve customer experiences. This controls a man-machine co-working effort - take care of complex business issues utilizing a blend of human imagination and astuteness. We influence the intensity of omnipresent information, bits of knowledge-driven calculations and key distributed computing to assist clients with accomplishing business change. 7. IBA Group The IBA Group’s organizational structure is worldwide. The company’s support centers are located in Europe, the United States, Asia, and Africa. IBA Group has full legal and organizational capacity to send its experts to these centers or hire local employees. The company offers a wide range of software services, including consulting, development, testing, migration, maintenance, and 24X7 support with a focus on mainframe systems and applications, web-based applications, enterprise solutions, SAP solutions and other ERP systems, Business Analytics (BI), and mobile applications. 8. Incedo Incedo is a Bay Area headquartered digital and analytics company that enables sustainable business advantage for its clients by bringing together capabilities across Consulting, Data Science and Engineering to solve high impact problems. The company believes in blurring the boundaries between services and products and delivering unified solutions that are designed to maximize adoption, impact and client success. Incedo’s mission is to enable its clients to maximize business impact from technology by harnessing the transformational impact of emerging technologies like bridging the gap between business and technology, become an employer of choice by being ‘employee first’ in all processes and practices. Incedo provides world-class technology services and is a trusted, long-term partner for global enterprises, is recognized as an industry leader in chosen emerging technologies, is an employer of choice, and delivers superior growth and financial performance. 9. LTI LTI is a global technology consulting and digital solutions company that was founded 20 years ago. From the very start, it was an information technology arm of the Larsen and Toubro group. The company has already helped more than 360 clients succeed in a converging world, and solved the most complex challenges of enterprises across industries. With operations in 30 countries, LTI goes the extra mile for its clients and accelerate their digital transformation with LTI’s Mosaic platform enabling their mobile, social, analytics, IoT and cloud journeys. 10. PwC PwC was created by the merger of two firms, Price Waterhouse and Coopers & Lybrand, around 150 years ago. The first Price Waterhouse’s office was opened in Budapest, Hungary 1989. Coopers & Lybrand Kft. was established in the same year. In 1997, Coopers & Lybrand Kft. acquired Dynasoft Rt., which formed its new Management Consulting Services department. In 1998, with the worldwide merger of Price Waterhouse and Coopers & Lybrand, PricewaterhouseCoopers Hungary was formed. Rebranded as PwC Hungary, it has operated since 2011 with two offices – in Budapest and Győr – as one of the leading professional services firms in Hungary. The company also does an audit, tax advisory and other consulting services. 11. WiPro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading global information technology, consulting and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help clients adapt to the digital world and make them successful. A company recognized globally for its comprehensive portfolio of services, a strong commitment to sustainability and good corporate citizenship, we have over 175,000 dedicated employees serving clients across six continents. Together, we discover ideas and connect the dots to build a better and a bold new future. 12. Capgemini Capgemini is a multicultural organization of more than 200,000 people in excess of 40 nations. The company revealed 2018 worldwide incomes of EUR 13.2 billion. A worldwide pioneer in counselling, innovation administrations and advanced change, Capgemini is at the cutting edge of development to address the whole expansiveness of customers' chances in the advancing universe of cloud, computerized and stages. Expanding on its solid 50-year legacy and profound industry-explicit aptitude, Capgemini empowers associations to understand their business desire through a variety of administrations from technique to tasks. Capgemini is driven by the conviction that the business estimation of innovation originates from and through individuals. 13. CH&Co CH&Co established the CH Alliance to unite close European based colleagues, with the target to turn into the system of reference for open advancement, aptitude and master know-how, offering best of breed answers for the Financial administrations’ industry. CH&Co is a worldwide group of vital personalities, fund experts and out-of-the-case scholars who think, yet additionally do. The company transforms its clients’ difficulties into enduring accomplishment by changing master thinking into unmistakable outcomes. The team trusts it takes more than minds to get results. Clients need specialists. CH&Co is centred around money related administrations to guarantee it conveys master exhortation, industry best practices and information that is straightforwardly applicable to businesses. CH&Co. Accomplices originate from different starting points: Business Consulting, Technology and Big 4 Firms. On each task, the company utilizes this decent variety inside an extraordinary mix of system, advancement, change the executives and aptitude. 14. Cognizant Shaped by a diverse group of entrepreneurial people working together to create a better way with their customers. The company works with companies on the vanguard of technology to drive businesses forward. Cognizant supports lifelong learning in the U.S. and around the world, preparing people to make the most of the technology that can forge shared future. The company’s ambition will always be to see and seize new opportunities that serve its clients and drive sustained business performance for Cognizant over the long term. See how in its annual business snapshot. 15. EPAM systems The company was founded in 1993 and relied on Engineering DNA to underpin work with clients, leading to major innovations, digital transformations and business results. In that time, Epam has expanded geographically, as well as extended its core engineering capabilities to include business consulting, design and physical product development. EPAM has been at the forefront of some of the most exciting technology-led transformations in the industry, and the story continues into today’s modern age of agile delivery, big data, machine learning and AI. 16. HCL Technologies HCL Technologies is a global technology company that helps enterprises reimagine their businesses for the digital age. Its technology products, services, and engineering are built on four decades of innovation, with a world-renowned management philosophy, a culture of invention and risk-taking, and a customer relationships focus. HCL Technologies offers integrated portfolio products, solutions, services, built around digital, IoT, cloud, automation, cybersecurity, analytics, infrastructure management, and engineering services, among others. With a worldwide network of R&D, innovation labs and delivery centers, and 147,000+ employees working in 44 countries, HCL serves leading enterprises across key industries, including 250 of the Fortune 500 and 650 of the Global 2000. Businesses across industries stand at an inflexion point today. Far-reaching disruption fueled by technologies like digitalization, analytics, cloud, IoT, and automation. As the demand for these services, HCL Technologies is accelerating its evolution into a next-generation technology company, driven by a unique business model, Mode 1-2-3, and many unmatched core competencies which bring this model to life. 17. Tata Consultancy Service Tata Consultancy Service is an Indian multinational information technology (IT) and consulting company headquartered in Mumbai, Maharashtra, India. It is a subsidiary of Tata Group and operates in 149 locations across 46 countries. TCS is the largest Indian company by market capitalization. Tata consultancy services are now placed among the most valuable IT services brands worldwide. In 2015, TCS was ranked 64th overall in the Forbes World's Most Innovative Companies ranking, making it both the highest-ranked IT services company and the top Indian company. It is the world's largest IT services provider. As of 2018, it is ranked eleventh on the Fortune India 500 list. In April 2018, TCS became the first Indian IT company to reach $100 billion market capitalization, and second Indian company ever (after Reliance Industries achieved it in 2007) after its market capitalization stood at ₹6,79,332.81 crore ($102.6 billion) on the Bombay Stock Exchange. In 2016-2017, Parent company Tata Sons owned 20% of TCS; and more than 70% of Tata Sons' dividends were generated by TCS. In March 2018, Tata Sons decided to sell stocks of TCS worth $1.25 billion in a bulk deal. 18. Virtusa Virtusa Corporation (NASDAQ: VRTU) is an American information technology services company founded in 1996 in Sri Lanka and has its headquarters in Southborough, Massachusetts, United States. The company provides IT consulting, business consulting, systems implementation and application outsourcing services to large enterprises and software vendors. The company has several delivery centres in India and Sri Lanka with the ones in Hyderabad, Chennai and Colombo being the largest. The company has a community support program that focuses on education and uses its IT competencies for meeting the needs of the community. Virtusa facilitated setting up IT laboratories for 50 schools in the Uva province of Sri Lanka. The program was carried out in partnership with a local university in Sri Lanka. In 2010, the company leveraged its technology/QA expertise to support the One Laptop Per Child (OLPC) program. In the wake of the 2004 tsunami, its employees actively participated in the development of Sahana, an open-source-based disaster management system. 19. Accenture Accenture is a global professional services company, providing a range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions - underpinned by the world’s largest delivery network - Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With more than 450,000 people serving clients in over 120 countries, Accenture drives innovation to improve the way the world works and lives. 20. Acronotics Acronotics automation and AI experts work closely with leading global firms across multiple industries to build cutting edge robotic automation & artificial intelligence solutions, enabling clients to boost organizational productivity, realize substantial cost savings, gain competitive advantage through smart data analytics, and deliver an enhanced user experience to their clients. In short, the company applies RPA & AI technologies to improve productivity and reduce the cost of operations; increase revenue per client & share of wallet; future-proof a business through innovation & automation. Along these lines, here we arrive at the end of the article about the top Robotic Process Automation companies. You should likewise think about the advantages of RPA services so you would have a reasonable view about picking the correct way too. It computerizes manual assignments to mechanize with robotization arrangements. It gives includes exceptionally occasion-driven, better investigation, emotional judgment, rule-based RPA solutions.

Top 20 Robotic Process Automation Companies

Data Driven Being data-driven is one of the most essential prerequisite for any organisation to achieve the desired digital transformation. In this regard, firms have started treating their data as assets and adjusting their strategies to emphasise them. The bars were set high a decade before but the transformation process is slower than the expectation. Many proofs exist on the failures of modern enterprises going data driven. One such study is the findings of . NewVantage Partners’ 2019 Big Data and AI Executive Survey The survey comprised of several c-level technology and business executives representing large corporations such as American Express, Ford Motor, General Electric, General Motors, and Johnson & Johnson Though there are tremendous investments in big data and AI initiatives, the negativity constitutes more than 50% in all the above cases. The Three V’s Why are the enterprises failing to be data driven? It is because of the Three V’s effect - Volume, Variety & Velocity Volume: It is becoming difficult to handle the volume of ever-growing data produced and consumed within and outside the organisation. Every now and then organisations upgrade the storage and processing power to support the expected data volume. Variety: The variety of data produced by an enormous amount of sensors and applications are of mixed type - structured, semi-structured or unstructured. Many traditional and proprietary data platforms and tools are finding it difficult in onboarding these different types. Velocity: All these sensors and applications generate data at the speed of light. Extracting, transforming and loading them in real-time and delivering the analytics at the same speed seem to be a herculean task for many ETL tools. One Such SMB: One of our customers, who is a leader in Through-Channel Marketing Automation, segmented in the Small and Medium Sized enterprise category, wanted to become real-time data driven to compete on data analytics. They did not want to stay behind using traditional ETL tools in analysing old time data. Business Challenges: The enterprise’s product had well defined integrations by leveraging Pentaho (Kettle) ETL features, which pretty much supported their business for a decade. Later in the new data era, it started to receive different sets of expectations from the business. The end users of the business wanted to make decisions based on real-time data rather than near-real time/ old data. Analytics on Real-Time Data: Business developers heavily depended on the ETL developers for every customisation in the data pipeline - maybe it was complicated or less complicated. Not Business Developers Friendly: The number of cycles went through in delivering the data pipelines to production were huge as it involved end-to-end manual steps. Lack of Automation: Technical Challenges: The supported SaaS sources were - Google & Salesforce by , but the business demanded to have most of the social platforms as their data sources. Pentaho’s latest version 8.0 supports Realtime Streaming data but that is not targeted to receive stream from all the social platforms off the shelf. Instead it requires a couple of steps to be configured here and there by ETL developers. Ref - Multiple SaaS Channels: Pentaho stream-data-from-twitter-api-with-oauth-using-kettle Each APIs demand a different set of authentication mechanism. Though most of the platforms support either OAuth / OAuth 2, there were needs to have Basic Authentication as well. Support for Multiple Authentication protocols: The response of any streaming would be totally different from how it is stored for further processing. Apart from storing or doing any transformation, nothing more could be expected from ETL integration tool. But the below challenges were to be addressed. The selection of the fields from the response needs to be easily achieved and minimal transformation like datetime format, currency format change based on locale were also expected. Data Fields Selection & Transformation: Business developers should be able to create the pipeline without much effort for working with any of the social platforms. A simple drag and drop of components should allow creating any data pipeline. This tailor made data pipeline creator is not something supported out-of-the box by any of the data integration tools in the market. Business Developer Friendly: If a business developer wants to change a step in the pipeline - either by adding a filter or by removing a verification step, the process should like that be deployed into the respective environment for testing and delivered to production in no time. Time to Market: The Approach: We conducted day long workshops and design thinking sessions to understand the pain points of all the stakeholders - Product Managers, Business Developers and Data Engineers. The data points - functional and non-functional requirements were carefully collected and we have come up with a recommended solution of creating data pipelines dynamically by leveraging Spring Cloud Data Flow and it met the expectations! The Functional View The incoming realtime streams from various social platforms. Data Sources: Connectors of supporting various API  (SOAP, REST & Graph) & Authentication protocols (OAuth, OpenID, Basic) API Connector: Lists of all the attributes from the respective stream which can be chosen for processing further Metadata Picker: Customisation of the attributes by Formatting & applying transformation logic is done here. Data Formatter: The sink tables (GCP - Bigtable) where the data analytics queries get fired. DB Tables: Systems View Authentication & Authorisation The allowed users are from the GSuite (the enterprise’ Identity Provider) With the help of Cloud IAP, the access to the application is controlled. GCR with App or Task Images Container Repository of pre built images of applications/ tasks to be developed as Source, Processor & Sink. These images are templates, used for creating the components in any stream. The images could be of source, processor or sink type. These images would be accepting the configurable properties like endpoint URI, accessToken, Consumer Key and Consumer Secret etc...and pass them to the underlying applications/tasks so that they can consume/process/receive the data based on the type. Data Pipeline Creator UI To configure the data sources with respective authentication configurations To render the metadata for selection/ filtering To specify the data formatting per data source Data Pipeline Creator Service A containerised microservice exposing REST APIs used in the Data PipeLine Creator UI All the configurations  specific to a data pipeline - from the source to the destination are preserved in the metadata database to which this service has access to. This service abstracts out the Spring Cloud Data Flow services for the given needs as shown below Spring Cloud Data Flow Server The server responsible for creating a data pipeline (for the given configuration) per data source configuration and deploying in the Skipper Server as data streams It is configured with Kafka streams to support real time data processing. Mission Accomplished! The recommended solution has been implemented; the enterprise has done the end-to-end automation of continuously deploying the real time data services and pipelines into production without much help from ETL developers but by the business developers. The mission accomplished! Conclusion There are many reasons why any enterprise fails in achieving the goal to become data-driven. Irrespective of the number of excuses and failures, the amount of data continues to rise exponentially. According to the independent research firm , the growth in connected IoT devices is expected to generate 79.4 Zeta Bytes of Data in 2025. IDC It is just in 5 years and is really HUGE! So, it is time to be aware, nurture data and become a data driven enterprise.

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