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Innovation Is Slowing Down

La innovación se está desacelerando

L'innovation ralentit

नवाचार धीमा हो रहा है

イノベーションの減速

A inovação está desacelerando

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创新正在放缓

Microservices are coming as a hugely sought after way to build . Akin to mobile app adoption, if there is lack of expertise it can delay some companies in its pursuit. Nevertheless, owing to rise in IoT development, it is certain that Microservices will soon turn out to be architecture of choice for majority of developers. enterprise apps development What is meant by Microservices Architecture? Microservice architecture, also referred to as Microservices, is an unique technique of building systems. This system has seen a rapid rise in popularity off late. software You can use this system to create enterprise applications. Because of scalability, this system is regarded as ideal when you need to garner support across wide array of platforms as well as devices across web, Internet of Things, mobiles, and wearables. Basically, if you not sure what all devices you will have to bolster in times to come, you can go in for this architecture. Essentially, Microservices architecture is a technique of building software applications as a group of autonomously deployable, minute, modular services in which each and every service operates a unique process and connects via a well-defined, lightweight mechanism so to achieve a business objective. Microservices is basically an architectural style which sets up an application in a way of collection of freely coupled services, which execute superb business capabilities. The Microservices architecture helps in continuous deployment/delivery of huge, complicated applications. It also helps a company to develop its vast technology stack. Even though Microservices architecture has received flak for not being apt for certain DevOps cultures, it is still being adopted by several industries across the globe. Big-scale online companies such as Twitter, Amazon and Netflix have all progressed from monolithic technology stacks to Microservices driven architecture. This has enabled allowed them to reach to dizzying heights today. When developing for IoT in specific, mentioned below are five reasons why future with future with Microservices is just the best - Cost trimming IoT sensors as well as devices are not beyond affordability these days. Having said that, it is actually more feasible to produce hundreds of small sensors that all do one common thing in a good way rather than going in for fewer, which no doubt are more powerful but more expensive options. One huge factor which propels such an action is that regardless of the fact how good a device is, in matter of just few years, it will turn “obsolete” or will get replaced with more effective and affordable alternatives. What is good in going with simpler hardware is that one can depend on Microservices to augment value and complete the functional gaps. One can even slowly roll out network and continue to upgrade as well as keep up the same in a cost-effective way as individual machinery get replaced. If all this is done properly, there will never be a time where you will have to get rid of the whole monolithic system at one go. Rapid innovation The scene of IoT deployments is basically still a lot in beta. Even though huge number of amazing and helpful devices has been deployed, we are still at tip of the iceberg as far as realising its full potential is concerned. A Microservices development approach helps you to release innovation and create value faster. It enables you to trial with new combinations of “things” as well as “services.” You do not have to build a whole technology stack or put your money in huge infrastructure to get a hand over something new. With Microservices, one can tinker as well as test to one’s heart’s content. You can reap the advantages of innovative solutions very fast. So, basically it is a win-win situation. Not too much risk Getting in order your solution by means of Microservices enables you to adjust as well as iterate very fast, thus you preclude the peril of missing the target. You can easily do this sans having the need to re-architect whole of your system or the IT environment. Several mobile as well as web app developers have enjoyed good success in making use of agile development. Building for IoT, it is not sure you will be able to develop a full feature on top of a device in matter of just a week. Nevertheless, when you emphasise on building Microservices in one to two week sprints, you can progress towards ending line and connect all APIs which you need, one by one, with relatively lower amount of danger. Flexibility and quickness One more key advantage of leveraging Microservices is that in, post testing, you find out that a certain service is not going to work out as how you wished; you can swap it with something which is better or something which is more apt as per your requirements. A Microservices approach to development as well as integration enables you to come up with a feature very fast and also make it better over span of time. When it is ready to be replaced, you will actually be updating just one piece of the puzzle rather than worrying about creating a new picture from scratch. Infinite value-addition The device which you deploy is never going to go beyond its physical capabilities till the time you upgrade or get its physical parts replaced. The digital upgrades can provide via constantly evolving Microservices, however, are limitless with reference to both scope and their incidence. A camera can be designed to just click 2D images, but depending on the 3rd-party service it is linked to, it might offer you with statistical traffic information, queue sizes or even weather report. Soon there will be time when the enterprises will by default switch to Microservices as there will be no option they feel will be viable. With growing augmentation of IoT, Microservices will be propelled into new as well as traditional industries. The advantages seem quite high, and the risk involved is low, so a switch towards Microservices seems the most likely solution. Looking for an expert advice? Visit — VT Netzwelt ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓ About Ravi Sharma: I help businesses to build — ✔ Their better connectivity with their existing customers ✔ Helping them finding new customers ✔ Process improvement with better solutions ✔ Digital branding to attract new markets ✔ A better LIFE! 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Future of Microservices & IoT

The fact that learned to code and built his first basic application at the young age of 14 surprised no one, but himself. He had always been a curious child, eager to learn new skills, take in new information, and create what he could with his new skills. Remi Denoyer While traveling, he would collect rocks, study them, and compare them to other rocks from around the world. His natural propensity for learning, problem-solving, and getting others excited about learning has made him the perfect founding engineer for , a mentorship platform for engineering leaders. Plato Throughout his studies, Remi set himself apart from his classmates. Often too smart for his own good, he wasn’t afraid to challenge his teachers or cause a bit of trouble in class, always knowing that he’d still excel at the exams. Though he loved physics and chemistry in high school, his math grades were often where he struggled most. After high school, he studied at Ecole Polytechnique before advancing to UC Berkeley to pursue a degree in the mechanical engineering department. It wasn’t long before his passion shifted toward computer science, and he began to dive back into programming, digging up the skills he first learned when he was a teenager. His two internships before entering the workforce helped him hone in on his programming skills and learn how to apply them in real-world situations. First, he spent the summer at AXA Global Parametrics, now known as Descartes Underwriting. There, he used AI models to predict weather patterns and help insurance companies create quotes in their respective industries. After AXA Global Parametrics, Remi spent 6 months at the Boston Consulting Group in Paris, assisting with various industrial projects. Though his curiosity got him far professionally, Remi accredits much of his success to his mentors along the way. Even after he joined Plato, the mentors he found within the organization were critical to not only his ability to contribute but at the time, the startup’s own potential to take off. Plato’s co-founders, and sought out Remi’s skillset after a failed entrepreneurial attempt. Together, the three built Plato from the ground up, into a company valued at $100M. Quang Hoang Jean-Baptiste Coger When Remi was brought on board, his coding skills were nowhere near that of what a founding engineer’s skills should have been, but with the right help, his unending curiosity, and a deep belief in Plato itself, Remi turned the product into a powerhouse. He partnered with the notorious G. Renard to develop a neural network matching system to pair engineering mentors with the right mentees. This neural network is the backbone of Plato, but Remi’s contributions did not stop there. He was able to make Plato incredibly cost-efficient by automating many of the key functions within the platform, such as scheduling, reminders, ceremonies, and even internal hiring processes. Mastering coding while building a proprietary technology isn’t the route many developers take, but for Remi, it felt right. Looking back, Remi relied on his ability to adapt and learn new skills at multiple junctions throughout his life, but the one he’s most proud of thus far is Plato. He couldn’t have done it alone, not without mentoring and support from multiple people. The fact that he gets to give back to individuals in the tech space every day by helping them get the mentoring they need is a full-circle moment for Remi. Just a few years ago, Plato was a garage startup with less than 5 employees, but now, it’s a revolutionary mentoring tool that provides a bank of over 1,500 senior engineering mentors to engineering leaders from Spotify, WeWork, Meta, Pinterest, and everywhere in between.

Software Engineer Remi Denoyer’s Curiosity Propelled His Career at Mentoring Platform Plato

In the wake of the , cloud service solutions have been thrown into the limelight as companies and organisations across the globe grapple with the rapid shift to remote working and learning. With the widespread closure of non-essential organisations and businesses forcing organisations’ leaders to consider new and innovative approaches to shifting their businesses online, the has become a far greater priority than ever before. The industry statistics demonstrate this: according to new figures from analyst firm Gartner, by the end of 2020 we will have seen the global public cloud services market reach $266.4 billion, up from $227.8 billion in 2019. COVID-19 pandemic move to cloud computing Prior to now, a lack of urgency and insufficient knowledge about cloud computing has been “holding Australian businesses back”, . Its 2018-2019 Business Characteristics Survey found that 17 percent of businesses said the biggest limitation to their adoption of cloud technologies was insufficient knowledge, and that 78 percent of “innovative businesses” said the cloud was at least of some importance to their digital technologies, compared to 53 percent of “non-innovative businesses”. according to the Australian Bureau of Statistics “Until recently, data security and regulatory compliance has been a key concern that has held enterprises back from moving to the cloud,” said Javed Ali, co-founder of Intergrid, a data centre and cloud infrastructure provider operating in seven locations across Australia and New Zealand. “In Australia, there is a range of state and federal legislation that restricts how personal and confidential data can be stored in the cloud. Few realise that there are companies such as Intergrid that are specialists in managing cloud transformation for businesses in these highly regulated industries, and so they are obviously reluctant to make the move.” Intergrid is an innovative cloud service and provider that helps local and international clients navigate the increasingly complex regulatory requirements surrounding data management. Its services include blending cloud technology with regulatory consultancy to advise highly regulated industries, such as healthcare and education, on their obligations in Australia’s regulatory environment. server hosting “We understand how complex and burdensome the data management environment has become for SMEs and corporates. We work to find cost-effective solutions for those organisations that guaranteed data sovereignty and fulfil legal compliance requirements,” Javed added. “We have the unique ability to provide cloud services that are physically located in every Australian state and territory, ensuring that businesses can comply with legislative requirements that require data to be stored locally within the jurisdiction.” Australia isn’t the only country where organisations remain uncertain of the legal implications of potentially exposing confidential data by shifting it to the cloud. With several recent instances of in major technology companies attaining notoriety, businesses across the globe have become incredibly serious about data privacy and security in 2020. data security breaches Fortunately, many have enhanced their protection as a result: 68 percent of companies say they have invested in specialist security technology and consulting services to help protect against this risk. But despite these preventative measures, the number of organisations that have suffered a data breach that involved the loss or theft of 1,000 or more records has grown: in 2019, , up from 56 percent just two years ago. 63 percent of organisations reported a breach “What’s incredibly important in this day and age is for IT executives to not sacrifice on their due diligence in the interests of expediency. Even if organisations are rapidly shifting their operations online, take the time to find a cloud service provider that can give your business assurances of where your data is stored, has expertise in your industry’s compliance obligations and that has robust cybersecurity measures,” Javed said. “At Intergrid, for example, we’ve made substantial investments in cybersecurity to protect customers and their users from inbound denial of service (DDoS) attacks. We have the capacity to detect, mitigate and protect against attacks within our Australian and New Zealand network, without impacting performance or sending network traffic offshore.” In terms of data management as an industry itself, we are also seeing significant and unprecedented growth - for reasons not related to COVID. Between 2020 to 2025, the global enterprise data management market size is expected to grow from USD 77.9 billion to USD 122.9 billion, at a CAGR of 9.5 percent. Key drivers of this growth include organisations wanting to improve their customer experience, make faster business decisions based on analytical insights, and accelerate transactional operations. Companies dedicated to enabling this increasingly sophisticated and competitive cloud managed service landscape are set to thrive in the coming years, according to industry data. And it’s no wonder: the cloud computing market is an incredibly lucrative one for cloud computing service providers, as companies from diverse vertical markets are increasingly adopting cloud computing services. “The cloud ecosystem in coming years will comprise of cloud-native business operations, multi-cloud and hybrid cloud strategies, and edge computing for content distribution. Cloud adoption will also increase; recent estimates show that by 2022 roughly two-thirds of organisations will use an external cloud service provider, which is double the amount that used one in 2018,” Javed added. While the has certainly been fuelling spending, with leading providers offering their technologies to help governments and researchers find ways of combating the virus, cloud computing would likely be on its way anyway. COVID-19 has simply fast tracked its journey to the main stage. coronavirus pandemic cloud computing

Cloud Solutions Propelled Into The Spotlight Courtesy Of Covid-19

As a CTO, I've spent decades navigating the ever-evolving landscape of technology. The pace of change has become dizzying, pushing the boundaries of what's possible seemingly every day. But with this incredible progress comes a growing responsibility – the responsibility to ensure that technological advancements serve humanity, not the other way around. This is where the concept of ethical tech leadership takes center stage. Evolution of Ethical Tech Leadership Ethical tech leadership isn't just about ticking compliance boxes. It's about striking a delicate balance between pushing the boundaries of innovation and ensuring ethical considerations remain at the forefront of decision-making. Data from indicates a clear correlation between businesses with higher levels of technological maturity and those that prioritize ethical considerations in their approach to technology. Harvard Business Review It's about more than just compliance; it's about cultivating a moral compass within the organizational culture. Leaders are tasked with fostering a commitment to responsibility and accountability, setting the stage for a tech landscape driven by ethical principles. The landscape of ethical concerns in technology is constantly shifting. Just a few years ago, the biggest debate might have been around "screen time" for children. Today, we grapple with far more complex issues like algorithmic bias in AI, the erosion of user privacy through data collection practices, and the potential for weaponization of emerging technologies like facial recognition. Let’s look at everything that falls into the realm of ethical tech leadership and how tech leaders are navigating evolution. Responsible AI: Navigating the Ethical Challenges The ascent of artificial intelligence (AI) has brought forth unprecedented challenges, especially concerning bias and transparency. Recently, Elon Musk’s decision to was met with severe backlash, predicting the lack of regulation the platform will be subjected to in the near future. fire Twitter’s ethical AI team There is a lot of concern around how datasets used to train AI algorithms can inadvertently reflect societal biases, leading to discriminatory outcomes. According to , AI datasets often contain a gender and racial bias which can lead to prejudiced results. For example, an AI used in the criminal justice system might be more likely to recommend harsher sentences for people of color if the training data contained such a bias. TIME magazine A company demonstrating strong leadership in addressing AI bias is IBM. They have outlined that guide the development and deployment of their AI solutions. These principles focus on transparency, accountability, fairness, and explainability IBM Artificial Intelligence Pillars Likewise, tech leaders must lead the charge in implementing ethical AI frameworks, ensuring algorithms are fair and decision-making processes are transparent. By continuously monitoring and evaluating AI systems, they can pave the way for a more responsible and accountable tech future. Data Privacy: Safeguarding User Trust in the Digital Era Data has become the lifeblood of the digital age, fueling innovation and personalization across countless industries. However, with this immense power comes a profound responsibility – the responsibility to safeguard user privacy. Tech leaders find themselves as custodians of data ethics, establishing robust protection policies and transparent data handling practices. The stakes for protecting user privacy have never been higher. Consumers are increasingly worried about how their data is collected, used, and potentially shared. According to a , Americans cite their personal data being collected as stressful, with 79% of participants being concerned about companies, and 64% about how the government uses their personal data. Pew Research survey This erosion of trust can have a significant impact on a company's bottom line.  Data breaches can lead to hefty fines, reputational damage, and a decline in customer loyalty. The infamous of 2013 caused hackers to steal data associated with 3 billion accounts. It almost derailed the platform’s acquisition by Verizon and led to a slew of lawsuits leading to the company having to pay to its users. Yahoo data breach $117.5 million in settlements To build trust, ethical tech leaders must establish robust data protection policies. These policies aim to clearly outline data collection, usage, and sharing practices, while also detailing user rights aligned with regulations like GDPR. Transparency is key, with user-friendly privacy policies explaining data practices and offering clear opt-out options for third-party sharing. Finally, ethical leaders must  navigate the evolving regulatory landscape to ensure compliance with local and international data privacy laws. This comprehensive approach fosters trust and a responsible tech ecosystem that respects user privacy. Sustainable Technology Practices: Nurturing a Greener Future While technology has propelled progress, it has also left an environmental footprint. A 2019 by the Shift Project showed that the world’s collective digital carbon footprint accounted for nearly 3.7 percent of all greenhouse emissions. This is comparable to aviation industry emission levels. study From the vast energy consumption of data centers to the e-waste generated by constantly evolving devices, the tech industry has a significant impact on the planet. This is where the role of ethical tech leaders becomes crucial. They are called upon to spearhead the adoption of sustainable technology practices, ensuring that technological advancements don't come at the expense of our environment. Ethical tech leaders must champion eco-friendly solutions across their organizations. This includes implementing measures to reduce energy consumption in data centers, such as utilizing renewable energy sources or employing energy-efficient cooling systems.  They should also encourage the development of hardware and software designed for lower power consumption. By prioritizing sustainability, ethical tech leaders not only contribute to the fight against climate change but also position their organizations as pioneers in responsible tech development.  This commitment to a greener future attracts environmentally conscious consumers and investors, fostering a competitive advantage in the long run. The Future of Ethical Tech Leadership As we stand at the crossroads of technological evolution, the role of tech leaders and CTOs as ethical leaders has never been more crucial. As technologies like augmented reality and virtual reality become more prominent, new questions around privacy and user experience will need to be addressed. Ethical tech leaders will be instrumental in navigating this uncharted territory. They will need to be adaptable, forward-thinking, and committed to fostering a dialogue about the ethical implications of emerging technologies. By proactively addressing these challenges, ethical tech leaders can help ensure that technology remains a force for good in the world.

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