An on-demand multi-service platform with an ecosystem that covers all of our user’s needs, (rideshare, deliveries, travel) to its customers through one, user-friendly app

Halen Technology

The pandemic coronavirus has changed our lives in many ways. Technology is playing an important role in combating this virus. Quarantine, physical distancing, and lockdowns have compelled people to use technology to keep the daily work routine functional. In short, the pandemic coronavirus has shifted the entire world into digitalization. The use of technology in our daily life is helping us to follow the rules of the government like social distancing to mitigate the spread of the Corona Virus. Let's have a look at how technology affects this Pandemic Corona Virus. Work from Home In this unprecedented time of Pandemic, many global companies have asked their employees to work from home. Therefore, work from home is enabled by cloud technology and virtual private networks VPNs. Moreover, they are also taking leverage from work collaboration tools like facial recognition technologies so that they can maintain their privacy while working from home. Apart from mitigating the virus, remote work is saving the time of the employees. Furthermore, it is providing the customer with more flexibility. So far working from home is not so easy on the part of employers and employees. Timely tech support, information security, and privacy are the main challenges people are facing with the use of technology. Remote work can also create problems for labor laws as it is linked with providing a safe environment for work and income tax issues. Employees may feel a lack of work-life balance and loneliness. If work from home becomes a part of life, then employers will think to hire employees from the region with cheap labor costs. Companies are devising the rules and regulations to support remote work. Moreover, further psychological studies need to be conducted to analyze the impact of remote work on employees. Employees with a college education are more prone to work from home rather than those who have higher degrees. Professionals like manufacturers and medical specialists can not take leverage from this option. Policies related to taxation and data flow need to be updated. Consequently, it will increase the cross-border digital services immensely. Online Learning When the pandemic hit the world, 191 countries decided to close schools and universities. This decision has impacted 1.57 billion students. For the ongoing operations of education, many educational institutions have started offering online classes. This initiative does not hamper the educational activities in the time of quarantine. The technology used for online classes is similar to the technology that people are using for remote work. It includes virtual reality, 3D printing, and augmented reality. Moreover, it also includes artificial-intelligence-enabled robot teachers. The challenge between online learning is that it will create a great difference in income levels and digital readiness. Online learning will also put economic pressure on parents, especially women. This is because they need to keep an eye on children. As a result, it will lower their productivity at work. Online Entertainment No doubt, that online quarantine measures have reduced in-person interactions. Therefore, people are going for online entertainment. Online streaming of concerts and cloud raves has gained more popularity. Moreover, global film industries are realizing new movies online to entertain people staying at home. Some websites are also offering virtual tours of museums and global heritage sites. In addition to it, many people are going for online gaming. Telehealth Telehealth can play a significant role in controlling the spread of COVID-19. There are many technical devices like wearable personal IoT devices that help to track the symptoms of the virus. The important thing to consider is that in many countries, medical costs are very high. Therefore, telehealth needs to be covered in insurance. People can use telehealth services if they have a decent internet connection.  No doubt, medical services are the most regulated services. Therefore, doctors can provide services to patients who live in the same domain. The areas should be included in the rules and regulations of telehealth The COVID-19 pandemic has interrupted the smooth global supply chain. Due to quarantine, and social distancing, some companies are unable to perform their operations. However, with the requirement of protective equipment and for the demand for food, many countries have imposed export bans on certain items. The supply chain is based on lots of paperwork. Therefore, paperwork and lack of proper data have made the supply chain victimized by the pandemic. The fourth Industrial revolution core like Internet-of-Things, cloud computing, blockchain, and big data are making the founding system of the supply chain accurate. Moreover, it will help in information sharing so that supply chain operations will work smoothly. technologies Robotics and Drones This pandemic has made us realize how important human interaction is while doing the daily chores of life. Due to quarantines and lockdowns, the businesses that suffer a lot are manufacturing, food, and retail. For keeping the social distance, technology has given leverage by introducing robots. In some areas of the world, robots disinfect the areas and provide food to people that are in quarantine. On the other hand, drones used for walking dogs and to deliver items. Some reports predict that in the future, manufacturing jobs will be replaced by robots. Therefore, new jobs will be available in this process. The need of the hour is to provide training to the employees so that they can work according to the changed circumstances. 3D Printing 3D printing technology is used to give leverage to the bans levied on personal protective equipment and to the supply chain. Moreover, it  provides flexibility in production. Therefore, it can print different products with different designs without any procurement process and late shipment time. The biggest challenge in 3D printing is intellectual property issues. It includes the production parts which are protected by patent. The second challenge is the production of surgical masks. They take a lot of time to obtain regulatory approvals. The other challenges are trade volumes and product liability of 3D printing products Digital Payments There is a probability that cash carries the virus. Therefore, the Central bank of the US, China, and South Korea are making policies to ensure that banknotes are clean before realizing in the market. At present, ATM and credit cards, and e-wallets are the safest payment mode to mitigate the spread of COVID-19. Digital payments are helping people to pay their bills online without getting out of the home. Moreover, they can also transfer funds instantly. according to the World Bank, the biggest challenge is that there are 1.7 billion unbanked people. Therefore, these people have no access to digital payments. Digital payments are accessible if there is an internet facility with devices. 5G and Information Technology The 5G and information technology depend upon stable and high-speed data. While 5G has shown great importance in remote monitoring and healthcare . In developing countries, the adoption of 5G is increasing the cost of devices and data plans. consultation The 5G is enabling cloud computing resources to track the cure of COVID-19. The supercomputer can run model solutions faster with 5G than smart computer processing. Wrapping Up The pandemic  has made the world use technology so that they can continue with their routine work as usual in this hard time. To stay competitive in these hard times and to save your business from losses, businesses need to know how technology affects this pandemic Virus. In this way, they can develop a strategy to embrace the technology.

Technology and the Pandemic 

260 Stories To Learn About Growth Hacking

Let's learn about via these 59 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Customer Rentention /Learn Repo 1. The Retail Evolution: Customers Demand Enhancements to the Shopping Experience Andreas Hassellof, Founder and CEO of Ombori, explores how changing customer behaviors impact retail, and drive retail technology innovation. 2. How to Keep Your Customers Focused and Engaged Know how to keep your SaaS customer engaged and focused in 2021. 3. 5 Ways to Use AI to Improve Customer Success Artificial Intelligence is a powerful set of tools that can be used throughout a business' operations allowing them to achieve better customer success. 4. Make it Sticky, then Acquire: 4 Pricing Lessons From My First 0-100 Users In an ideal world, the goal of any business starting up is to make money. In most cases, the profitability of a product is closely tied to how you as a product manager choose to price your product. Apart from building a product that provides real value to its customers, profitable monetization is the second most important aspect of running a successful business. 5. How Can Companies Use AI for Better Customer Experience? Explore how AI can help businesses to upgrade the experience of new and existing customers. 6. The Top 12 Inbound Marketing Strategies to Adopt Right Away This article will discuss the various Inbound Marketing Strategies required to help your business grow. 7. Retaining SaaS Customers in a Global Economic Downturn In a global economic downturn, retaining current customers is crucial for businesses, especially for SaaS companies facing the growing risk of customer churn. 8. How to Improve Customer Care Today customer care is one of the most popular and widely discussed topics in the IT industry. 9. The Importance Of Data in Sales in 2022 10. Social Features: The Secret to Bridging the Gap Between Apps and Users With a competitive app market and struggle to keep customers engaged, how can app developers ensure that they keep their users for a longer time? 11. How To Honour Your Early Adopters With Promotional Products Hi! My name is Vasily, and I am the co-founder of the Merch38 platform. We created this business to help people and companies create their own merchandise for retail, marketing, gifting or any number of reasons to need branded products. I would like to share how we helped the creators of the MagicKids mobile application to thank their first users, their early adopters. 12. 7 B2B Marketing Tips and Tricks that Work A 2015 press release from Bain & Company stated an interesting piece of truth. Almost 90 percent of sales and marketing executives don’t feel adequately prepared to sell to today’s digital-savvy buyers. Fortunately, this post offers a few B2B marketing tips and tricks so you can skyrocket your revenue. 13. You Need A Tech Loyalty Program: Here Are 5 Efficient Use Cases To Spark New Ideas An efficient retention strategy increases the company's profit up to 95%. Here are the best loyalty programs in the tech sector you can look to for inspiration. 14. Want to Drive Retention? Gamify Your SaaS Product Games are designed to keep us playing as long as possible. By presenting players with challenges and rewards for completing them, apps can generate dopamine hits in their users that can keep them coming back for more. Most people love a challenge, and consciously or not, we love rewards even more, even if they’re largely arbitrary. 15. Without Digital Adoption, Your Enterprise will Struggle It’s clear to everyone that we’re living in a digital age. In a time when people expect to run their lives through their smartphones, competitive enterprises have no choice but to adopt digital tools. 16. How We Increased User Retention in the LoopMessage App Using Free Messaging The LoopMessage app helped increase user retention several times. This was reached by sending free personalized messages via popular instant messengers. 17. How To Improve Customer Retention and Increase LTV Retaining customers is the number one growth strategy for business. Learn how to retain your customer and improve lifetime value (LTV). 18. How to Boost Customer Engagement in Digital Marketing customer engagement is key to keeping customers
happy and loyal. 19. Why Custom-Built Automation Can Be Ideal for Business Growth? Automation is a powerful driving force for business growth. It allows mundane, repeatable tasks, to be dealt with by binary code. That means we can just get on our all-important daily tasks. 20. What Is Average Handle Time (AHT) and How To Reduce It: 20 Tips & Tactics Average handle time is a key metric to focus on when trying to improve your customer support strategy. Read more about its major contributing factors, and what 21. Avoid a Loss in MRR and Make Your Dunning Campaign Really Powerful: Know How If you’re running a subscription or SaaS business, you know that at the end of the day your chief metric is monthly recurring revenue (MRR). 22. How to Drive Early 'Time-To-Value’ through Customer Success Time-To-Value is a Customer Success metric that is undervalued in SaaS but could be an advantage for a business. This article explains TTV and the types of TTV. 23. Your Customers Are Everything In The SaaS Industry Today, I’ll share some of the best lessons I got to learn from that experience. You can use these tips to beautify your SaaS or any other business. 24. What Three Features Should Houseparty Launch Next? “We see our customers as invited guests to a party, and we are the hosts. It’s our job every day to make every important aspect of the customer experience a little bit better.” — Jeff Bezos 25. Customer Education: How to Educate Customers Profitable for Business Customer education is a powerful growth marketing tool for online businesses. I discuss how to create a customer education strategy for your company in 2023. 26. 5 Steps to Master Customer Intelligence in 2021 Customer intelligence is the process of gathering and analyzing customer data. 27. 10 Tips to Develop a Strong B2B Relationship The growth of B2B eCommerce has spiked in the last two years. From $12.2 trillion in 2019, it is predicted to reach $20.9 trillion by 2027. 28. 7 Reasons Why Customer Success Function Fails Ever wondered why most of the SaaS companies have got Customer Success wrong? Check out some pitfalls that caused  the Customer Success effort to fail. 29. Predicting if the Customer is Satisfied by the Resolution Case study to predict if customer is satisfied by the resolution. 30. Welcome to The Zero Friction Future Hello, It’s time to learn something new again. This time, I would like to start a new series as zero friction future and talk about the details and categories in which we see high consumer friction and the areas of improvement. 31. Dealing With Negative Email Replies: To Give It Up or To Work It Out When you consider all outcomes of your email campaigns, don’t be afraid to ask the right questions. Even if they scare you. For example, don’t say “What should I do if I get negative replies?”. Say “What should I do when I get negative replies?”. 32. How to Generate Sales from Inactive Customers and Boost E-commerce What does marketing automation mean? Are activities planned triggered on user-generated events. Simple and clear. 33. 5 Auto-Message Sequences You Can Run Right Now In Dashly, we adore auto messages. It saves us lots of time, as they automatically generate and warm up leads. In this article, we share an easy way for you to create a message chain right now if you have never done this before. Here’s a list of five auto messages sequence which will be beneficial to both you and your clients. 34. What is Data Collection and What are The Most Important Events to Track When your company is client-oriented, one of your priority tasks is understanding your clients’ problems and gathering insights on how people use your product and when exactly they benefit from it. 35. No Brown M&Ms: The Van Halen Growth Hack For Getting Better Customers The Pareto Principle—known also as the 80/20 rule (and the law of the vital few) —states that for many events, roughly 80% of the effects come from 20% of the causes. 36. 9 SaaS Retention Strategies to Reduce Customer Churn Customer retention is the key for any business and for SaaS, it's way too hard without a perfect strategy. Do check our blog to find the best tips! 37. Correlation Between Customer Satisfaction and Retention Is Real So is there a correlation between customer satisfaction and customer retention? Of course, there is! Satisfied customers stay, what’s there to research and analyze? 38. How to Implement a Customer Success Strategy: A Case Study Customer-Centricity is bang on trend; 73% of business leaders recognised customer experience as one of the most important purchase-driving factors. The truth is, there are no conniving, cheeky tricks you can use. Instead, it takes consistency, persistence, and a shared team ethos. 39. Voice of Customer: How to Use VOC Data to Drive Business Growth We all know Customer feedback is always useful for increasing product quality or service. But do you know that by using Customer feedback, you can also increase your company's revenue? 40. Ok Google, Improve My Retention Rate: A Customer-Centric Approach to the Crisis COVID-19 shifted the earth from beneath the business world’s feet. Small, medium, and large businesses alike closed their doors and weren’t sure when they would open them again. As the pandemic dug in, most businesses (I hope!) put the health and safety of their employees first. Only once they could ensure their team’s safety, were they able to start putting a plan in place for recovery. 41. 5 Amazing Ways to Boost Your Customer Retention Rate Improving your customer retention rate matters, and it’s something worth investing in. So here are 5 ways to know how to retain your existing customers easily. 42. 6 Customer Retention Strategies Every Small Business Owner Should Know Generating leads and attracting new customers are keys to ensure initial business success. 43. How To Segment Shopify Customer Base with Google Sheets and Google Data Studio After defining what the RFM analysis is standing for, and how you can apply it to your Customer Base, I want to show you how to apply it on Shopify orders data. 44. The Beginner's Guide to The Google HEART Framework In this post, we will dig into the Google HEART framework: a simple way to ensure you take into consideration every aspect of the user journey. 45. 5 Quick Tips on How to Improve Customer Satisfaction In this article, you'll learn what to do to satisfy your customers and how to build a stable and lucrative relationship. 46. Employee Experience and Customer Experience: Beyond Retention and Loyalty An #IBM research revealed that 70% of brand perception is settled by employees and 41% of customer loyalty comes from positive employee attitude Customers can generally be divided into two, Internal and external customers. Who are your internal customers? Your employees. Forrester defines customer experience as 47. How To Prevent Your Customers From Leaving And Win Back The Ones Who Left We bet you have your own “gone customers’ cemetery” of those who once were with you, but have gone and are not planning to return. It’s sad, but you can’t give up: almost half of them are sure to be returned. 48. How a Customer 360 and Dgraph Cloud Can Help Improve User Retention Successful corporations leverage a customer 360. Check out how Dgraph can provide top-notch analyses quickly and effectively. 49. WOW Your Clients: 5 Golden Rules to Make Your Client Happy How do you imagine a happy client? We believe that happy clients scream “WOW!”. Here are the top 5 rules of delivering WOW service for you. 50. What Happens When You Make Product Decisions to WOW your Customers [A Case Study] Which of you, when you have to buy an airplane ticket, is not looking for the cheapest and more convenient solution from SkyScanner or similar? And which one of you, once aware of the prices of the big airlines, doesn’t try to take a look at EasyJet or Ryanair? Honestly, for flights of less than 3 hours, the price paid plays a decisive role in my personal decision. 51. Why Chatbots Are The Future Of Customer Retention? Customer retention has become a genuinely challenging task for entrepreneurs. In the midst of all this, AI-assisted Chatbots are the real game changers. 52. How Obsessing on Outreach and Marketing Helped Truepush Grow 53. Hunting for Customers With PostgreSQL Now more than ever, you have to hold onto every customer you can. Customers don’t love your product one minute, then fall out of love with it the next. Normally there’s a declining trend in usage of your product over time. 54. How To Create Customer Segmentation using Google Analytics and A Spreadsheet Using Google Analytics, we can analyze our customer behaviors based on their interests, commonly features through clicks, time on page, bounce rate, custom events, etc. and their behaviors as shoppers, such as add to basket, average product quantity basket, LTV, AOV, etc. 55. How To Keep Your Customers Coming Back: 5 Proven Strategies Most businesses focus mainly on how to attract new leads to their website. But they tend to overlook the importance of retaining their existing customers. 56. 30 Powerful Strategies to Optimize Conversion for SaaS Businesses Learn 30 of the most effective strategies and practical tips to Optimize your B2B SaaS Conversion Rate as we get closer to 2023 57. Which Is Better For Your Business: Relationship or Transactional NPS® Surveys? What will be more profitable to the business, a Transactional NPS® Survey or a Relation NPS® Survey? 58. 24 Customer Retention Strategies One is better than two and is equal to six. At least, that’s how we (Dashly.io) think when it comes to comparing your regular customers with your potential customers. 59. Skyrocket your SaaS Retention by Applying Addictive Game UX [A How To Guide] Even if you’re not a gamer, you’ve probably heard of games like Flappy Bird, Fortnite, PUBG and Candy Crush. With user counts in the tens and hundreds of millions and some grossing over a $100 million in monthly revenue, there’s a lot for companies to learn from the gaming world. Gamers spend an average of an hour and 13 minutes day on video games – imagine if your customers spent that amount of time on your SaaS product every day. Thank you for checking out the 59 most read stories about Customer Rentention on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

59 Stories To Learn About Customer Rentention

Let's learn about via these 71 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Business Strategies /Learn Repo 1. The Personal Platform: The Next Big Thing? Momentous technologies often look useless. Especially information-related technologies. Why did we need the printing press, when most people were illiterate? Plus, the priest could already read aloud from a hand-copied Bible. Why did we need the personal computer, when people already had filing cabinets, type-writers, and TVs? Computers were for wealthy corporations. 2. How To Build An Open Source Community:  Sustaining Changes and Growth Plans Perhaps one of the most memorable milestones in the scientific community this year was the release of the first image of a black hole. Like most technological advancements these days, this was made possible in no small part by open source software. 3. 12 Use Cases of AI and Machine Learning In Finance Here are a few use cases where machine learning algorithms can have been used to great effect in the financial sector, both saving and making money for users. 4. How to Evaluate New Ideas For Value? It is easy to know the value of a product or service which is used often and is accepted as something worthy to pay for. Everyone agrees gold coins are valuable even if they don’t know the current gold rate in their currency. 5. The Most Valuable Business Advice I Ever Received Mason Pelt describes the best business advice he has gotten. 6. Why AI Unified Analytics is Good for Your Business AI unified analytics can help businesses collect and analyze the data that AI tools require. Learn more about how AI unified analytics is good for business! 7. How Midsized Companies Can Make the Most of AI 8. The Subtle Art of Making Tough Decisions Some decisions in business are tougher than others: it comes with the terrain. Some parts of the world are covered in desert while other parts are covered in beaches with coconut trees. And in the same way, some decisions in business feel like paradise, and others feel like a sweltering desert. 9. Introducing HanafundMe.com: the Crowdfunding Platform for Women Starting up business, if you are cash strapped, can be pretty tough. It is still workable, but the journey is longer. Having extra funds helps you sustain your business operations and makes it easier to scale for growth. 10. How I Learned to Stop Worrying and Love Deepfakes How deepfakes are becoming the new norm in video creation. 11. Australian Share Market Today all Ordinaries Some of you must have a range of indices being published on the bulletin and newspapers to help investors in making decisions. While some still cannot wrap their heads around the strange list of numbers that are being read on TV. Whatever the category of people you belong, it is important to understand what it is, how it works and how vital it is for your investment and management decisions. Thus, Ezzat Daniel Nesseim is here to walk you through what the Australian share market All ordinaries is all about. Read on! 12. 7 Giant Businesses That Started in Garages and Basements When we think of the world's most successful companies, we think about large offices and employees that were there from the very beginning. In fact, many companies started their business in the founder's bedroom or garage. 13. 7 Things Tech Entrepreneurs Should Know Before Starting a Business To start your own business or a startup you don’t need to have a degree in business specialization or business experience. All you need is to know how business works and do proper business planning. 14. Common Sense for Companies During The COVID-19 Pandemic Coronavirus outbreak has been upgraded to a pandemic. Everyone is trying to adjust with the new normal; enterprises have gone remote, and the search rankings of websites are decreasing on Google. The only trending keyword is coronavirus these days. 15. Why Digital marketing is Important for Startups? Startups face many challenges in building up a reputation for themselves in the market. They have to compete with already established businesses, which are not an easy task at all. The marketing strategies play a vital role in their success. Digital marketing will be an essential tool for Startups' success. 16. A Dynamic, Sustainable Business Model for Old WeWork It is not erratic to say that we have witnessed one of the major value destructing events in recent history with WeWork IPO fall out. The decimated value, in this case, an estimated $35 Billion is comparable to the value lost in the Enron scandal. 17. Why Your Business Requires Data Driven Growth-Marketing? Need rapid surge in digital marketing? Entrepreneur and agile startups can now easily reach their target audience due to data driven growth-marketing analytics. 18. No Brown M&Ms: The Van Halen Growth Hack For Getting Better Customers The Pareto Principle—known also as the 80/20 rule (and the law of the vital few) —states that for many events, roughly 80% of the effects come from 20% of the causes. 19. How to Choose the Best Apps for Your Business Key strategies to pick the best apps for your business 20. The Types and Benefits Of Cloud Computing In this article, we discuss the options available for businesses to make the correct choice in terms of cloud computing to complement a business' needs. 21. Using Data Analytics for Unhindered Business Growth Every business, regardless of the size and spread, requires data analytics support to thrive. These Top Data Analytics Trends will help you grow your business. 22. How I can Save my Insurance Firm During Disaster? Natural disasters are unpredictable that has the ability to destruct the
globe entirely. It has so much force that even giant construction can
get into the ground in seconds, imagine where humans would go. In
such scenarios, one should stay full secure but preparedness is the
only way to combat a natural disaster. 23. Everything That Startups Do Wrong: A Content Marketer’s Perspective I have around a decade of experience in content and marketing. My first job was in the editorial department of a print publication around ten years ago in Bucharest, Romania, when the digital landscape the way we know it today was almost non-existing. Today, I work as a content marketer for a tech start-up in Singapore, which is often referred to as the Silicon Valley hub of APAC. 24. 8 Lessons Product Managers Need to Learn From Clayton Christensen Clayton Christensen is one of the greatest business minds of our time. His recent passing caused me to reflect on all I learned from him. His life was dedicated to his family, his faith, and the theories he taught. He personified servant leadership. 25. 8 Ways Startups Are Changing The Way Businesses Work The new era of highly connected and interactive technology is changing not only how business employees interact with customers, but also how they interact with each other, and with their company. 26. What Is Miconex? Everything You Need to Know Because the gift cards can only be used in these places, it incentivizes residents to support their local businesses. 27. From Mad Scientist To Bruce Wayne: A Founder's Fight To Protect The Mind MUD\WTR is a disruptor in the anti-caffeine and pro-mushroom movement. An underdog up against significant dominance and entrenched cultural norms. 28. How to Start, Run and Sell Your Billion-dollar Business Timeless advice to profit from your passions, capitalize on your ideas and become a better human being. 29. How You Can Easily Identify a B2B Decision-Maker The process of B2B sales is usually complex and involves up to 10 stakeholders. Mind that these stakeholders don’t share a single point of view, so it takes enough hot air to run a small city before a decision is reached and the deal is closed. 30. Is Perfection An Unreasonable Benchmark? Before I started turning this question over in my mind, I decided to do something I used to do while preparing for debates when I was in school: I Googled the exact meaning of the word. 31. Top Tips to Grow Your Electrical Contracting Business As an electrical contractor and business owner, you want your electrical business to be as successful and lucrative as possible—and that means leveraging different strategies to connect with potential customers, get the word out about your company, and drive business growth. 32. Why You Should Focus on Value and Not on Busy Work Stop with the busy work, and focus on the value drivers. When business or life are not going well, people often look for anything to do. Doing something may make you feel better, but doing the wrong thing won’t help you, and it can even cause harm. 33. Why Your Company Should Be Listed in a B2B Marketplace? Entrepreneurs looking for ways to grow their business can start by selling on e-commerce platforms. For many, online marketplaces are an untapped opportunity as they provide easy access to large new audience. 34. CXOs Need to Intervene in the World of Mobile App Testing Instead of following the predefined procedure for mobile app testing. Here are top highlight points CXOs need to take into consideration to get better results. 35. Why Hiring Globally Diverse Talent Will Make You More Likely to Succeed A 2018 study by BCG found that companies with diverse management teams generate 19% more revenue through innovation than management teams with below-average diversity scores. 36. Innovative Business Tactics To Help You Pivot During The Second-Order Effects Of COVID-19 Business ideas are emerging as silver linings of the second-order effects of COVID-19. You can update delivery services, access eCommerce, or do other tactics. 37. Do You Need To Upgrade Your Python 2.x code to Python 3.x? By now we’re sure that you’ve heard that the Python programming language is undergoing some big changes. 38. Reducing Your Exploration Costs Exploration versus exploitation is a topic that merits its own study in the field of AI and reinforcement learning. But it is far more than that. We consider this tradeoff every day in our lives, influencing every decision we make. 39. 8-Ways Data Mining Can Improve your Business If your company is trying to make sense of the customer data, here’s a not-so-surprising fact for you. You aren’t alone. Far too many companies want to understand data and gain an in-depth insight into the information they are sitting on. Let’s be clear that today, the success of a business lies in how efficient their data mining process is. Their expertise to process the available data as this can help them to decipher age-old questions that make or break them: 40. Why Do Most Startups Die Before Taking Off? Going by the current market scenario, most of the startups fail to achieve progression even before reaching their maximum potential. And those who achieve success are the ones who have full proof plans, financial backups and thorough strategies to fuel their ambitions regarding their businesses. 41. How To Build a Comprehensive Cybersecurity Strategy Is your business equipped to take on the escalating security threats of the digital age? If not, then a smart strategy is needed. Recent reports state that half of the businesses in the United States have reported a data breach. 42. How to Generate New Software Startup Ideas Ideas are responsible for the progression and prosperity of humans, without them we would still be living in prehistoric times. People spend most of the day work, smartphones when we’re out and about, and tablets and PCs at home. Congratulations to the thousands of software companies that have already helped to make history. Numerous software ideas have been made for people to choose the one with benefits to them. 43. 4 Simple Ways to Diversify Your Income and Make More Money Online Four ways you can make money from home by following your passions, using the internet and your imagination. Free or cheap real estate strategy? 44. SaaS Sales Guide: How to Close Deals Despite the Pandemic We haven’t even seen the end of the first quarter, yet our yearly plans need to be built from scratch. Forget about your brilliant business plan for 2020. The economy and market rules have completely changed, and you need to adapt if you want your business to see the end of this crisis. 45. Business Process Standardization for those who are not in the Fortune 500 ... yet It’s always easier to start working with new clients when the interaction stages are unified and regulated. Check our an alternative view on the business processes standardization/reglamentation in small and middle-sized advertising agencies. 46. 5 Tips to Apply IoT to Your Business You're probably already using IoT devices in your home and even experiencing their benefits on a daily basis. But what about your business? 47. Leveraging a Tech Business Model Framework for Business Success A framework to build a viable tech business model, technological model, and financial model. 48. How ERP Bridge Can Push Your Business To The Next Level Running a business can be a major headache. After all, you’re required to juggle multiple tasks simultaneously. This can make your job significantly difficult. If you’re not careful, you’re going to find yourself overwhelmed with your daily duties. 49. Is Perfection An Unreasonable Benchmark? Before I started turning this question over in my mind, I decided to do something I used to do while preparing for debates when I was in school: I Googled the exact meaning of the word. 50. Who Needs a Seat at The Table For Your Enterprise Blockchain Company? Do you have the right stakeholders at the table to begin having important conversations and contributing to key decisions? 51. Business Lessons From The AOL Deal That Made Google A Tech Giant May 1st, 2002, AOL at the time known as America Online announced a deal with Google. That deal was crucial and one of those that made Google the tech giant it is today. Would Google had lost that deal chances are it would have never become the monopolist we know today. 52. The Trials, Tribulations, and Triumphs of Digital Transformation The slow death of the old ways 53. How to Generate Leads in B2B Hello and welcome to the overview of the basic techniques and methods that are a must for you if your goal is to make your B2B sales lead generation more efficient and less time-consuming. 54. How To Sustain Your Business In The Post-Pandemic World I decided to cover today the concept of how to push your business in the post-pandemic world since I think it is more than ever a tragic and unprecedented situation that we are in today. 55. How Do You Define Business Model Innovation? In 2020, all competitive companies are in a state of constant business transformation. That’s just a fact : those that do not evolve are made redundant by stronger, more agile competitors. And so, mediocre companies update their products and services. Good companies update their processes, too. Great companies, meanwhile, update their business models. 56. 3 Common Mistakes Startups Make When Building a Website What every startup really needs is a quality, clean, easy-to-navigate website. 57. How Three Guys Turned A Simple Idea into The Fastest Growing Backyard Sport on The Planet When you think of the entrepreneurial qualities that go into building a successful business, what comes to mind? Most people will say it takes expert levels of 58. How to Choose the Best Apps for Your Business Key strategies to pick the best apps for your business 59. Why Companies Need to Adopt Agile Working Spaces Adopting an agile working environment will allow companies to stay flexible and competitive by improving the office environment so that employees work better. 60. Mergers, Acquisitions and New Markets… “There was no such thing as a fair fight. All vulnerabilities must be exploited.” — Cary Caffrey 61. How Technological Amalgamation With Business Pays Off in Direct Sales Industry Technology is impacting all major industries, both positively and negatively. Understand how beneficially the technology recasts the direct selling industry. 62. The Old 1-5 Star User Review Process is Being Transformed for Better Customer Experience Image - Pixabay 63. Business Lessons To Learn From The Apple-Next Deal It was the year 1997. Apple was experiencing a sharp sales decline. 64. Wearable Tech Gadgets Can Boost Our Productivity You’ll agree with me that prioritizing your tasks and events helps you to stay productive. 65. 5 Ways to Reach New Audiences With a Rebrand In business, as in life, change is the new normal—and it’s vital that your brand is able to keep up with the evolving needs of consumers, especially those who are new to or unfamiliar with your business. If you’re struggling to keep up and reach new audiences, rebranding can be the answer. 66. What Is Strategic Performance And How Did It Evolve Have you wondered why despite huge investments most of the businesses tend to fail? Yes, I am sure you have. And yet there are some that are able to scale heights, without much investments… 67. Design Thinking as a Practice for Business Innovation & Breakthrough There's no denying that Design Thinking is the way of the future. Applying this approach to a strategy and Innovation, brands can completely satisfy the needs of customers. To stay on the top, they should realize the significance of design for product success rates and have a clear understanding of a Design Thinking method. 68. How Small Businesses can Utilize Micro Influencers for Success Brands no longer promote their products. Instead, they have an army of influencers or customers who do it for them. This is where they let the product users speak for them. And it is advantageous. Since the brand doesn’t do the work of promoting itself, they get more conversions and sales as a result of other people’s promotions. 69. 4 Business Trends: 2020 Edition Let's look at important trends happening in the business world, that have the potential to affect and reshape current industries. 70. The Secret Mindset of the successful Entrepreneurs Successful entrepreneurs learn to seize opportunities as they arise, avoid pitfalls along the way, and engage employees to achieve their business goals. 71. How I Got 40 Paying Customers in 6 Months With 0 Dollars Spent On Marketing Launching and growing a business has never been an easy task for anybody, we all have our strengths and our weaknesses. Discover how I went from zero to more than 40 paid customers without sales or marketing skills. Thank you for checking out the 71 most read stories about Business Strategies on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

71 Stories To Learn About Business Strategies

[TL;DR; Get started using Dgraph's Slash GraphQL product and connect to a Spring Boot application which will act as a simple RESTful recommendation service.] Back in the early 2000s, I was working on a project implementing an eCommerce solution by (ATG), now owned by Oracle.  The ATG Dynamo product was an impressive solution as it included a persistence layer and a .  At the time, companies like Target and Best Buy used the Dynamo solution, leveraging the scenario module to provide recommendations to the customer. Art Technology Group scenarios module As an example, the Dynamo eCommerce solution was smart enough to remember when a customer added a product to their cart and later removed it.  As an incentive, the scenario server could be designed to offer the same customer a modest discount on a future visit if they re-added the product into their cart and purchased it within the next 24 hours. Since those days, I have always wanted to create a simple recommendations engine, which is my goal for this publication. About the Recommendations Example I wanted to keep things simple and create some basic domain objects for the recommendations engine.  In this example, the solution will make recommendations for musical artists and the underlying Artist object is quite simple: { String name;
} @AllArgsConstructor @NoArgsConstructor @Data public class Artist private In a real system, there would be so many more attributes to track. However, in this example, the name of the artist will suffice. As one might expect, customers will rate artists on a scale of 1 to 5, where a value of five represents the best score possible.  Of course, it is possible (and expected) that customers will not rate every artist.  The customer will be represented (again) by a very simple Customer object: { String username;
} @AllArgsConstructor @NoArgsConstructor @Data public class Customer private The concept of a customer rating an artist will be captured in the following Rating object: { String id; score; Customer by; Artist about;
} @AllArgsConstructor @NoArgsConstructor @Data public class Rating private private double private private In my normal Java programming efforts I would likely use private Customer customer and private Artist artist for my objects, but I wanted to follow the pattern employed by graph databases, where I employ variables like `by` and `about` instead..  This should become more clear as the article continues. Dgraph Slash GraphQL With the popularity of graph databases, I felt like my exploration of creating a recommendations engine should employ a graph database.  After all, GraphQL has become a popular language for talking to services about graphs.  While I only have some knowledge around graph databases, my analysis seemed to conclude that a graph database is the right choice for this project and is often the source for real-world services making recommendations. Graph databases are a great solution when the relationships (edges) between your data (nodes) are just as important as the data itself—and a recommendation engine is the perfect example. However, since I'm just starting out with graph databases, I certainly didn't want to worry about starting up a container or running a GraphQL database locally.  Instead I wanted to locate a SaaS provider.  I decided to go with Dgraph's fully-managed backend service, called .  It's a hosted, native GraphQL solution. The Slash GraphQL service was just released on September 10th, 2020 and can be enabled by using the following link. The platform offers a free trial which will work for this article (then moves to a $9.99/mo flat fee for up to 5GB data). Slash GraphQL https://slash.dgraph.io/ After launching this URL, a new account can be created using the normal authorization services: In my example, I created a backend called "spring-boot-demo" which ultimately resulted in the following dashboard: The process to get started was quick and free, making it effortless to configure the Slash GraphQL service. Configuring Slash GraphQL As with any database solution, we must write a schema and deploy it to the database.  With Slash GraphQL, this was quick and easy: { : String! ( : [hash, regexp]) : [Rating] ( : about)
} { : String! ( : [hash, regexp]) : [Rating] ( : by)
} { : ID! : Artist! : Customer! : Int } type Artist name @id @search by ratings @hasInverse field type Customer username @id @search by ratings @hasInverse field type Rating id about by score @search In fact, my original design was far more complex than it needed to be, and the level of effort behind making revisions was far easier than I expected.  I quickly began to see the value as a developer to be able to alter the schema without much effort. With the schema in place, I was able to quickly populate some basic Artist information: mutation {
 addArtist(input: [
   {name: },
   {name: },
   {name: },
   {name: },
   {name: },
   {name: },
   {name: }]) {
   artist {
     name
   }
 }
} "Eric Johnson" "Genesis" "Led Zeppelin" "Rush" "Triumph" "Van Halen" "Yes" At the same time, I added a few fictional Customer records: mutation {
 addCustomer(input: [
   {username: },
   {username: },
   {username: },
   {username: },
   {username: }]) { {
     username
   }
 }
} "Doug" "Jeff" "John" "Russell" "Stacy" customer As a result, the five customers will provide ratings for the seven artists, using the following table: An example of the rating process is shown below: mutation {
 addRating(input: [{
   by: {username: },
   about: { name: },
   score: }])
 {
   rating {
     score
     by { username }
     about { name }
   }
 }
} "Jeff" "Triumph" 4 With the Slash GraphQL data configured and running, I can now switch gears and work on the Spring Boot service. The Slope One Ratings Algorithm In 2005, a by Daniel Lemire and Anna Maclachian introduced the Slope One family of collaborative filtering algorithms.  This simple form of item-based collaborative filtering looked to be a perfect fit for a recommendations service, because it takes into account ratings by other customers in order to score items not rated for a given customer. research paper In pseudo-code, the Recommendations Service would achieve the following objectives: retrieve the ratings available for all artists (by all customers) create a Map<Customer, Map<Artist, Double>> from the data, which is a customer map, containing all the artists and their ratings the rating score of 1 to 5 will be converted to a simple range between 0.2 (worst rating of 1) and 1.0 (best rating of 5). With the customer map created, the core of the Slope One ratings processing will execute by calling the SlopeOne class: populate a Map<Artist, Map<Artist, Double>> used to track differences in ratings from one customer to another populate a Map<Artist, Map<Artist, Integer>> used to track the frequency of similar ratings use the existing maps to create a Map<Customer, HashMap<Artist, Double>> which contain projected ratings for items not rated for a given customer For this example, a random Customer is selected and the corresponding object from the Map<Customer, HashMap<Artist, Double>> projectedData map is analyzed to return the following results: { : { : }, : { : , : , : , : }, : { : , : , : }, : { : , : , : , : , : , : , : }
} "matchedCustomer" "username" "Russell" "recommendationsMap" "Artist(name=Eric Johnson)" 0.7765842245950264 "Artist(name=Yes)" 0.7661904474477843 "Artist(name=Triumph)" 0.7518039724158979 "Artist(name=Van Halen)" 0.7635436007978691 "ratingsMap" "Artist(name=Genesis)" 0.4 "Artist(name=Led Zeppelin)" 1.0 "Artist(name=Rush)" 0.6 "resultsMap" "Artist(name=Eric Johnson)" 0.7765842245950264 "Artist(name=Genesis)" 0.4 "Artist(name=Yes)" 0.7661904474477843 "Artist(name=Led Zeppelin)" 1.0 "Artist(name=Rush)" 0.6 "Artist(name=Triumph)" 0.7518039724158979 "Artist(name=Van Halen)" 0.7635436007978691 In the example above, the "Russell" user was randomly selected.  When looking at the original table (above), Russell only provided ratings for Genesis, Led Zeppelin, and Rush.  The only artist that he truly admired was Led Zeppelin.  This information is included in the ratingsMap object and also in the resultsMap object. The resultsMap object includes projected ratings for the other four artists: Eric Johnson, Yes, Triumph, and Van Halen.  To make things easier, there is a recommendationsMap included in the payload, which includes only the artists that were not rated by Russell. Based upon the other reviews, the Recommendations Service would slightly favor Eric Johnson over the other four items—with a score of 0.78, which is nearly a value of four in the five-point rating system. The Recommendations Service In order to use the Recommendations Service, the Spring Boot server simply needs to be running and configured to connect to the Slash GraphQL cloud-based instance.  The GraphQL Endpoint on the Slash GraphQL Dashboard can be specified in the application.yml as slash-graph-ql.hostname or via passing in the value via the ${SLASH_GRAPH_QL_HOSTNAME} environment variable. The basic recommendations engine can be called using the following RESTful URI: - {spring-boot-service-host- }/recommend GET name This action is configured by the RecommendationsController, as shown below: @GetMapping(value = )
public ResponseEntity<Recommendation> recommend() { ResponseEntity<>(recommendationService.recommend(), HttpStatus.OK);
   } (Exception e) ResponseEntity<>(HttpStatus.BAD_REQUEST);
   }
} "/recommend" try return new catch return new Which calls the RecommendationService: @Slf4j
@RequiredArgsConstructor
@Service
public {
   private final ArtistService artistService;
   private final CustomerService customerService;
   private final SlashGraphQlProperties slashGraphQlProperties
   private final RATING_QUERY = ;
   public Recommendation recommend() throws Exception {
       ResponseEntity< > responseEntity = RestTemplateUtils.query(slashGraphQlProperties.getHostname(), RATING_QUERY); {
           ObjectMapper objectMapper = ObjectMapper();
           SlashGraphQlResultRating slashGraphQlResult = objectMapper.readValue(responseEntity.getBody(), SlashGraphQlResultRating.class);
           log.debug( , slashGraphQlResult); makeRecommendation(slashGraphQlResult.getData());
       } (JsonProcessingException e) { Exception( + responseEntity.getBody(), e);
       }
   }
...
} class RecommendationService static String "query RatingQuery { queryRating { id, score, by { username }, about { name } } }" String try new "slashGraphQlResult={}" return catch throw new "An error was encountered processing responseEntity=" Please note - something that might be missed at a quick glance of this code, is the power and ease in being able to pull out a subgraph to perform the recommendation.  In the example above, the line is providing a subgraph to the method. slashGraphQlResult.getData() makeRecommendation() The RATING_QUERY is the expected Slash GraphQL format to retrieve Rating objects.  The RestTemplateUtils.query() method is part of a static utility class, to keep things DRY (don't repeat yourself): public final {
   private RestTemplateUtils() { }
   private final MEDIA_TYPE_GRAPH_QL = ;
   private final GRAPH_QL_URI = ;
   public ResponseEntity< > query( hostname, query) {
       RestTemplate restTemplate = RestTemplate();
       HttpHeaders headers = HttpHeaders();
       headers.setContentType(MediaType.valueOf(MEDIA_TYPE_GRAPH_QL));
       HttpEntity< > httpEntity = HttpEntity<>(query, headers); restTemplate.exchange(hostname + GRAPH_QL_URI, HttpMethod.POST, httpEntity, .class);
   }
} class RestTemplateUtils static String "application/graphql" static String "/graphql" static String String String new new String new return String Once the slashGraphQlResult object is retrieved, the makeRecommendation() private method is called, which returns the following Recommendation object. (This was shown above in JSON format): @AllArgsConstructor
@NoArgsConstructor
@Data
public {
   private Customer matchedCustomer;
   private HashMap<Artist, Double> recommendationsMap;
   private HashMap<Artist, Double> ratingsMap;
   private HashMap<Artist, Double> resultsMap;
} class Recommendation Conclusion In this article, an instance of Dgraph Slash GraphQL was created with a new schema and sample data was loaded.  That data was then utilized by a Spring boot service which served as a basic recommendations engine.  For those interested in the full source code, please review the . GitLab repository From a cost perspective, I am quite impressed with the structure that Slash GraphQL provides.  The new account screen indicated that I have 10,000 credits to use, per month, for no charge.  In the entire time I used Slash GraphQL to prototype and create everything for this article, I only utilized 292 credits.  For those needing more than 10,000 credits, $45 (USD) per month allows for 100,000 credits and $99 (USD) per month allows for 250,000 credits. Using a graph database for the first time did present a small learning curve and I am certain there is far more than I can learn by continuing this exercise.  I felt that Slash GraphQL exceeded my expectations with the ability to change the schema as I learned more about my needs.  As a feature developer, this is a very important aspect that should be recognized, especially compared to the same scenario with a traditional database. In my next article, I'll introduce an Angular (or React) client into this process, which will interface directly with GraphQL and the Recommendation Service running in Spring Boot. (Published with the kind permission of the original author, John Vester )

An Awesome Tool To Quickly Create An Amazon-Like Recommendation Engine 

The markets are down and crypto has been falling — so it’s the perfect time for artists to get to work on their next creation. The economic news these days isn’t great. But instead of turning to despair, turn to art. It’s a great time for artists who create NFTs to put their heads down and create in order to be ready for the next wave and to get some work in while the highs aren’t as distracting. This might mean taking the time to focus on your next big idea, or to experiment with different ways of sharing your work and engaging with the community. Here's my advice to artists on how to create good work now, how to increase your resilience, and how to prepare for the future of the NFT market. Focus on Building Your NFT Portfolio and Sales If you want to increase your NFT artistic output, or if you’re looking to create your very first NFT, keep these best practices in mind as you prepare for the next upturn in the market. If you're not familiar yet with the crypto ecosystem, be proactive in learning about the technology. If you're brand new to the space, setting up a wallet is your first step. Learn how to scan blockchain activity as well (transactions are available to see on etherescan.io), where you can see who is collecting work similar to yours. Overall, learning about the different blockchains available to you, their benefits, and their fees, will help you make more strategic decisions for your career. Learn about the technology: If you haven't already, start following other artists and collectors on Twitter or Discord. Connecting with the NFT community will not only help you get to know others in the industry, but will help you keep on top of trends, new drops, and other goings-on. Interact with the community: As with any other activity online, security should be the highest concern. If you're new to the space, setting up a hardware wallet will be the most secure option, and of course, keep your keys and passwords private. Having a knowledge of how blockchain activity works will keep you safe from exploitation as well. Make online security a priority: The success of minting and selling your NFTs depends heavily on the platform you chose. Do you want to be on a platform that offers a wide variety of NFTs, or that just features artwork? A platform that offers more lower-priced NFTs, or one that is more highly curated and offers fewer premium-priced NFTs? Get to know the space, so that you can make the best decision for your future career. Find the right platform: You not only need to choose the best platform for your career but which works you want to mint. With the market in a downturn, now's the time to choose art that best represents who you are and your artistic vision. As you put that art out into the world, you'll find an audience that resonates with it and finds value in your practice. Be strategic about what you mint: NFTs aren’t for everyone — and they don’t have to be. It’s great to experiment and try new things, but it’s also OK to step away if you ultimately find that you’re trying to force your work to fit into the NFT box. Always make art that you find exciting, whatever it may be. Be realistic: Address Artist Frustrations Artists can often find their work adversely impacted when they are distracted by externalities and expectations—whether they’re mired in frustration about the market or are feeling insecure about their talent, resources, or inspiration.  Don’t just build your portfolio, but build your resilience. The best solution when facing frustration is to channel that energy into your creative process. Simply let yourself respond to the world around you through work. that the more time artists spend creating work, the higher their overall satisfaction becomes. Research has found If the creative process feels stuck, shake it loose by experimenting with a different medium or exploring a style that’s new to you. For our genesis NFT drop, , many artists who participated said that experimenting with NFTs as a new medium was really liberating for them—and challenging in a good way. The Other Avatars Another way to lessen frustrations is by connecting with other artists and growing your community. You can do that through engaging with social media channels like Twitter and Discord; participating in a project around which a community is built, such as an NFT drop; or showcasing your work at art fairs IRL. Expand your circle to include not only fellow artists but new audiences and collectors as well. Collaborating with other artists can not only , it can enhance an artist’s overall well-being. build pride and self-reliance Additionally, artists who are more financially stable say that it’s , not because of a strong work ethic. because of their relationships and support network many artists lack the time to market themselves and do it at the expense of creating new work. This is why partnering with an online gallery is a good step for your career, as they often already have established channels and followings in place to promote artists. Finally, lessen frustrations by getting help with your promotion; Create Today Artists have always created, no matter the state of the economy. While things may seem challenging now — especially if you’re an artist who creates NFTs watching the crypto market — the best things you can do is to reevaluate your approach to marketing, connect with other artists on new projects, remain thoughtful about which selling platforms you’re using, and, above all, put your head down and create.

ATTENTION NFT Artists: Now is The Time to Buckle Down and Build

Since the plow, humans have had a natural wariness over technology that seems to threaten their jobs. It’s a natural anxiety. Factories, plows, and automation legitimately have scaled back the need for human labor. And now technology seems to be coming after jobs that previously appeared to be untouchable. Drivers, communications professionals. Even doctors. The past several years have brought developments that seem poised to change things both in the coding and customer communications industries. Are these technologies passing fads or a legitimate threat? In this article, we take a look at what is out there and think about what impact these technologies may have on the job market. Read on to learn more about how AI and ChatGPT may affect , and beyond. careers in the tech industry The Situation In 2021, an innovative AI program was launched. AlphaCode, an AI that could write code and efficiently solve basic problems. Or not so basic, as it would turn out. AlphaCode’s producers, a company by the name of OpenAI began to enter the program into online coding competitions. All of the other competitors in these competitions were human. In contests with 500 people or more, AlphaCode dependably outperformed at least half of the participants. Not only did it perform at a high level, but it dependably wrote new lines of code without needing to rely heavily on duplication  —performing with a level of efficiency and accuracy that surprised even its creators. Of course, in objective terms, outperforming half the people in a contest is not particularly impressive. AlphaCode may have beaten several hundred people, but it lost to several hundred more. Still, the performance invites an alarming question. Will there be a time in the not-so-distant future when AI is good enough to hold a monopoly on coding jobs? Greater Context Coders reading this may notice their muscles tense ever so slightly, but this isn’t necessarily the story of how AI is taking a job that used to be done only by humans. In fact, that was never OpenAI’s intention at all. The company insists that OpenAI was never meant to replace humans completely. “Even if this kind of technology becomes supersuccessful, you would want to treat it the same way you treat a programmer within an organization,” Solar-Lezama, a . “You never want an organization where a single programmer could bring the whole organization down.” developer with the organization says AI is complex. So is coding. Letting a single program shape the way other programs are written could have dire risks. OpenAI views the technology as, at best, a tool to help other programmers work faster and more accurately. The developers also suggest it could be used as a powerful training tool, reverse analyzing existing code to help student programmers understand the purpose of what they are looking at. ChatGPT ChatGPT launched only several months ago as a prototype. Because it’s still very much in its infancy, it is very hard to grasp the full context of its debut as an AI-driven technology. The program is ostensibly a highly sophisticated chatbot that produces articulate responses that are eerily similar to actual human conversation. Early users have reported being extremely impressed by the depth and breadth of the information provided. However, even just several minutes in, there have been many reports that the program suffers significantly from inaccuracies. What Does This Mean for the Tech Industry, and the Job Market at Large? Chatbots have already played a role in helping customer service divisions with their scalability. They have also played a vital role in HR management. However, in both instances there is almost always a human hand at work, guiding the chatbot, and providing additional support where it is needed. Because chatbots are nothing new, it is hard to view ChatGPT as a disruptive technology. Impressive though the program, the mixed results of its launch indicate that it is still a long way off from eliminating customer communications as a human endeavor. ChatGPT could potentially suggest a wider proliferation of chatbot technology. Businesses that haven’t been using chatbots prior to its debut— What businesses are those? I haven’t noticed them. Maybe because you were too busy interrupting to take notice. Businesses that haven’t adopted chatbots as a form of customer communication might be more comfortable doing so if they have the option to use a program that feels more authentically human. This could, of course, have an impact on specific people’s jobs, but it’s hard to anticipate the broader context of what it will mean for communications-based jobs without seeing how the program performs over time. For now, ChatGPY looks more like a tool that will be used with humans than one that will be used to replace them. The Bottom Line Products like ChatGPT, and indeed the larger world of AI hint at a future without people that seem indispensable now. This includes coders, sure, but also writers, customer service professionals, drivers, and many more jobs that have previously required a human touch since the dawn of their existence. And yet it takes only a look at the results that these technologies are producing to understand their limitations. Sure, AI can organize words into sentences on a page. But they can’t produce articles that are as funny, clever, and downright enjoyable as the one in front of you right now. And AI can code, but not at the human level. Not for abstract or creative purposes that define the industry for so many people in the first place. There may be a time when all that changes, but it isn’t now. It’s probably not even soon. Eye your AI with suspicion, sure, but don’t let it keep you up at night. For now, talent and creativity are still bankable skills that you can use to find work in the tech industry, and beyond.

How Coding and Other Tech Careers Could Be Impacted By AI and ChatGPT

Hey Hackers, this is an article I wrote in 2020 and I thought I had moved it to HackerNoon a long time ago, but I didn’t, so here we are. The reason I’m publishing it here is because I wanted to show people that GPT is something that’s been around for years. ChatGPT is more powerful of course, as all newer models are trained on more data. However, I wasn’t as mindblown by it as others were because I’d been playing around with GPT since 2020. As a historical reference, here is what ChatGPT’s grandfather, GPT2 was able to produce all the way back in 2020. It’ll be interesting to compare it to what is able to produce today. ChatGPT : The following content was generated by OpenAI’s GPT-2. All headings are prompts fed to the system. While some of the information presented in this article may be true, none of the facts have been verified. Disclaimer The output from the neural network sometimes refers to real companies or journals, like Science Advances or Google. However, everything in this article is fake. The only edits we have made were to clean up some of the grammar, most of which was 100% perfect. Aside from the title, headings, conclusion, and this disclaimer section, all of the text in this article was generated by the Open AI GPT-2 neural network hosted on The text was generated using our headings as prompts given to the neural network. talktotransformer.com. Open AI Releases GPT-2, a Text-Generating AI System Text-Generating AI Systems, such as the GPT-2 system developed by Open AI and unveiled last week, may be more likely to evolve into human-like machines than traditional AI, says Open AI researcher James Kuffner. “If these systems can be trained to do certain tasks that are similar to humans, then we can expect to see a human-level intelligence emerge, not just in the short run but in the long run,” says Kuffner. Text-Generating AI Poses Threats to Human Job Security In a study published in the journal, Science Advances, the researchers examined the future of jobs, including jobs where human workers are no longer necessary, and jobs where a machine can perform the same task as a human, using a combination of artificial intelligence and machine learning. They found that while more than 90 percent of the U.S. workforce are susceptible to being replaced by AI in the future, only 20 percent of those jobs are highly automated. “The risk of being replaced by AI depends on the job” There are two problems with this approach, researchers say. First, there is a risk that artificial intelligence could cause a major shift in the way work is done. While most AI research centers tend to favor short-term, technical goals, Stanford has been working on ways to generate more long-term, societal impacts of AI. AI Stanford University Evaluates Societal Impacts of AI A new study by Stanford Professor of Information and Computer Science James Hughes shows that, if it is allowed to grow unchecked, AI will have a significant social impact. The paper, “Is there a social cost of AI?”, has just been published in the journal, Science, and describes how AI can improve people’s lives, increase economic growth, reduce inequality, and potentially change the way society operates. “If we are willing to accept some negative effects of AI in our lives, why can’t we accept some positive effects as well?” asked Hughes. “If the human species is to survive and prosper, we must be able to use artificial intelligence technology.” If you haven’t heard, the world is in the middle of a massive debate and the AI debate is a major part of that. A major issue is whether human beings, who are by nature imperfect, are good enough, smart enough and intelligent enough to be the ultimate solution to humanity’s challenges and problems. There’s a group of people that think they know the answer to this very issue: AI. Can AI Replace Human Writers? The first question is whether it should be possible to replace human writers with computer-generated texts. There are many people who believe that this is possible within the next century, even within the next few years. The next question, of course, is what is to replace the human writer and how. There are two schools of thought: Writers can be improved by using , such as by incorporating computer vision, pattern recognition, and natural language processing to write better. AI There is a lack of creativity in the human population as a whole and there is a need for humans to be able to produce new ideas in a more efficient manner, which requires a more intelligent writer. The first position is probably more viable, because in an age of information overload and rapid technological advancement, writers can often have an overload of information. AI is a more difficult one to figure out. If the problem is a lack of creativity, then it seems the answer may be an AI that does more of what you do, but this is not going to work in a world where most people use text messages to communicate. It depends on how we use AI. We know that AI is going to replace many jobs in the coming years. As the pace of automation increases, it will start to happen to human jobs at a faster rate than we can create new jobs in the workforce. AI systems will become so advanced that they will be able to learn, to adapt, and to make decisions on their own. We can’t possibly understand the full implications of these technologies for human society. AI is Not the Enemy In many ways, AI is a natural extension of our ability to communicate. This can be seen in two ways. The first is a direct implication of the second: the ability to read the environment. The ability to recognize that another character is in a certain situation is a direct result of having a basic understanding of language. The second is a more abstract concept and one which can be applied to almost any medium: a good writer can tell a good story even if they don’t understand how the story works. But, if we’re going to ask whether AI is the enemy, it’s important to ask why we are in an environment in which it exists. I think we’re on the cusp of something interesting here. For the first time in human history, a new kind of technology has arisen that is creating real value and excitement. We’ve long seen the exponential growth of AI systems. We’ve been doing research on AI for decades. But now, in the wake of the massive success of Google Translate and Siri, I think we’re finally at a point where people are seeing the value. We’re at the end of the year now and there’s still so much to accomplish. AI is not going to be the end of our industry. We still have a ton of people that are working on AI and most of these people are doing so in secret to avoid the legal ramifications of AI being misused. “AI will help us.” I see the big tech companies, the big social media companies, the big pharma companies, the big finance companies and all these are using AI to get their products to market. They are not using AI as a weapon. They are using it as a tool to help us make the product and get the job done. AI is not a new problem. We are just getting to the point where we are really using it. -End of GPT-2 Output : All references and information written by GPT-2 regarding real companies or people are coincidental and not true. The text above has been auto-generated by Open AI’s GPT-2 through and is not factually accurate. IMPORTANT NOTE talktotransformer.com Why I Made this Article This article was an exploration of GPT-2 from Open AI and the results were astounding. To generate the text above and edit it into a coherent article took just over one hour. GPT-2’s potential shown in this article brings rise to questions around the ethics of using such technology. For example, who is credited with the article in the end? Is it the human writer who fed prompts to the neural network or is it the data scientist who created the neural network itself? Along with the recently reported threats posed by deepfakes, there are also worries that this technology could be used to quickly and easily spread fake news. We are living in an incredibly interesting time where technologies are emerging before we know how to deal with them. With that said, GPT-2 is likely to spark a lot of debate both on the legality and ethics of GANs and other generative models.

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