Convergence of Big Data,IoT and AI
In the past week, there's been a large conversation surrounding the creation of new AI devices and robots. From AI burgers to robocops, there's been several developments in the industry. If you're interested in seeing some of these highlights, I encourage you to check out TechNotch's LinkedIn and Twitter for news updates. However, this past week there's also been several discussions surrounding how AI should fit in the modern environment. This week we will focus on a few of these AI updates. Lastly, if you would like to see more updates and stories from TechNotch Solutions, connect with us on LinkedIn , Twitter, and Instagram. On these platforms we post more opportunities to engage with emerging technologies and trends!
Big Data, AI & IoT, Part Three: What's Stopping Us? In this series, Forbes analyzes how these technologies will be able to sustain in one environment. It delves into the pros and cons of establishing these technologies and how it will impact businesses. Forbes also looks into the limitations of each tech from only being able to do one task to data swamps. Lastly, the argument about how far these technologies can possibly go. CEO of Pod Group, Charles Towers-Clark, pointed out, "patience, understanding, and the right type of leadership will help these new technologies become commonplace." The question to be raised is what will be the right steps in helping these technologies reach their full potential? Where can you see theses technologies being in even thirty years?
Pop Culture, AI and Ethics Phaedra Boinodiris, member of IBM's Academy of Technology, has a interesting solution to AI implementation. By mixing Star Trek episodes with Design Thinking, she has come up with a framework that can help companies successfully implement AI. She also focuses her argument on Design Thinking to cover five areas of ethical AI including: accountability, explainability, fairness, values, and data rights. Keeping these in she reaches a conclusion on how to put AI into practice in a way that takes into account all avenues. For her whole Design Thinking plan, check out her article in the title! Her implementation plan brings into question of how much of pop culture and previous research we use for improvement? Hey, maybe Star Trek episodes can help AI reach its full potential!
How to Break Down Work into Tasks That Can Be Automated Automation has become one of the hot topics in business, but are companies carefully analyzing what they're automating? The Harvard Business Review takes a deeper look into the systemic change that actually occurs when businesses decide to automate. They're findings find that there's three categories to analyze when automating: repetitive vs. variable work, physical vs. mental work, and independent vs. interactive work. Keeping in mind these three questions while automating can help to smooth the process more. Though, the question to raise how can these help with your automation strategy?
Other Interesting Stories: Can AI Play a Useful Role in Nursing Care? This Tokyo Startup is Leading the Way These Innovative Technologies are Making the Steel Industry More Efficient Samsung Just Revealed a $1,980 Folding Smartphone Microsoft's Hololens 2 Puts a Full-Fledged Computer on Your Face