What Do You Need To Know As AI Changes Your World?

Deep learning involves feeding data to large neural networks that crudely simulate the human brain


Image credit: Getty Images
The picture out there and the one painted above is one of massive and rapid change to the way people think and operate, which will affect material pain.


The AI Survival Guide For Leaders

“I am not a huge fan of perpetual clichés like, “The world will be changing faster than ever before,” and “This time is different,” but this time is different. The picture out there and the one painted above is one of massive and rapid change to the way people think and operate, which will affect material pain. But with change also comes excitement and opportunity. And those reading articles like this one will react to the impending change with a sense of enablement, not shock. Avoiding amygdala hijacks in favor of optimistic clarity will allow leaders to harness the newfound time — freed up by artificial intelligence — to steer an ever-growing enterprise.” Forbes CommunityVoice by Laura Berger photo Pexels

The A-Z of how artificial intelligence is changing the world

a is for… artificial intelligence

“Since the early days of computers, scientists have strived to create machines that can rival humans in their ability to think, reason and learn – in other words, artificial intelligence. While today’s AI systems still fall short of that goal, they are starting to perform as well as, and sometimes better than, their creators at certain tasks. Thanks to new techniques that allow machines to learn from enormous sets of data, AI has taken massive leaps forward. AI is starting to move out of research labs and into the real world. It is having an impact on our lives. BBC future” By Richard Gray Image credit: Getty Images

One of the fathers of AI is worried about its future

“Yoshua Bengio wants to stop talk of an AI arms race and make the technology more accessible to the developing world. Alongside Geoff Hinton and Yann LeCun, Bengio is famous for championing a technique known as deep learning that in recent years has gone from an academic curiosity to one of the most powerful technologies on the planet. Deep learning involves feeding data to large neural networks that crudely simulate the human brain, and it has proved incredibly powerful and effective for all sorts of practical tasks, from voice recognition and image classification to controlling self-driving cars and automating business decisions.” View on technologyreview.com by Will Knight ECOLE POLYTECHNIQUE | FLICKR

The difference between AI and machine learning, explained

“Machine learning is a subset of artificial intelligence, just one of the many ways you can perform AI. Machine learning relies on defining behavioral rules by examining and comparing large data sets to find common patterns. This is an approach that is especially efficient for solving classification problems. For instance, if you provide a machine learning program with a lot of x-ray images and their corresponding symptoms, it will be able to assist (or possibly automate) the analysis of x-ray images in the future. The machine learning application will compare all those different images and find what are the common patterns found in images that have been labeled with similar symptoms. And when you provide it with new images it will compare its contents with the patterns it has gleaned and tell you how likely the images contain any of the symptoms it has studied before.” thenextweb.com By BEN DICKSON 

What is machine learning? We drew you another flowchart

Machine learning is the process that powers many of the services we use today—recommendation systems like those on Netflix, YouTube, and Spotify; search engines like Google and Baidu; social-media feeds like Facebook and Twitter; voice assistants like Siri and Alexa. The list goes on. In all of these instances, each platform is collecting as much data about you as possible—what genres you like watching, what links you are clicking, which statuses you are reacting to—and using machine learning to make a highly educated guess about what you might want next. Or, in the case of a voice assistant, about which words match best with the funny sounds coming out of your mouth. Frankly, this process is quite basic: find the pattern, apply the pattern.” MIT Technology Review View on technologyreview.com by Karen Hao


6)   Anticipate changing circumstances and economic cycles.

7)   Persist and pivot to navigate external threats and opportunities.

17) Sketch out your trajectory in 5-year timeframes.  Will we fall into another recession?  Absolutely.  Will you be ready this time with future-proofed strategies?

19) Anticipate the growing shifts in life and business. Nobody wants to swim upstream if the current is moving everything in the opposite direction. Clue your fans in.

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