Machine learning is rapidly expanding across the business world -- but in special industries like self-driving and medical imaging, it is especially making leaps and bounds via "deep learning". How do these two arenas compare and relate? And how do we bring the human element into the field of machine learning -- which is itself the ultimate endeavor in automation?

There is a 30 to 40 percent chance that you’re fat.

How do I know that? Most readers of this newsletter are in North America and based on the available data, more people are getting fat than are getting slim -- all the time.

I dislike buzzwords. For me, AI is one of the top contenders as an example of that -- a marketing term that isn’t just inaccurate, but actually unreal (or as Eric Siegel puts it, a big fat lie. I strongly suggest you watch that video).

To realize how good we have it, it is good to look in the past to remember how we used to do things.

How many times have you heard something like this? “AI will take over certain jobs… but it’s okay! New technology will create new jobs! That’s why the kids in school today should be learning concepts, not memorizing. As long as they get concepts, they can search for any information they need once they’re in the workforce.”

I thought some of you might appreciate these tips, which work whether you’re travelling to wine country or just using the wi-fi at the cafe down the street.

Why would anybody buy a company which in no time will lose to Facebook and its empire?

Quantum computers help innovators find solutions where the number of options is so great that it is not feasible to solve with today’s technology.

Jose is Chief Analytics Officer at Mexico's largest financial group, Grupo Financiero Banorte. He established the Analytics Business Unit. His data-driven approach has yielded over $1 billion in extra value to the bank -- and counting.

Jose Murillo, an expert about how large bank is using data effectively to connect more with customers. By understanding their clients better, they are creating win-win opportunities for customer satisfaction and improved revenue. These are lessons that can apply to the biggest organizations as well as more nimble startups.