I first used a computer to do real work in 1985. I was in college in the Twin Cities, and I remember using the DOS version of Word and later upgrading to the first version of Windows. People used to scoff at the massive gray machines in the computer lab, but secretly they suspected something was happening. You could say the information age started in 1965 when Gordon Moore invented Moore's Law (a prediction about how transistors would double every year, later changed to every 18 months). It was all about computing power escalation, and he was right about the coming revolution.

But with the help of thousands of artificial intelligence-powered cameras, there's a chance to slow down the slaughter of animals using the same facial …

Anyone who's seen The Matrix has a general understanding of AI (artificial intelligence) and maybe even machine learning (ML). While that and many other sci-fi movies have given a broad group of people a basic understanding of the two, it's also caused confusion. Machine learning and AI are frequently used as interchangeable terms. However, they are slightly different aspects of the same concept. In fact, AI is the parent to machine learning.

While not every company has ambitions to be the next Amazon, none wants to be Sears. Yet to avoid the fate of the fallen, organisations must, to a certain extent, emulate the world's most dominant firms. A core trait shared by industry titans like Amazon, Netflix, and Google worth imitating is the habit of constant evolution. As organisation heads consider how to evolve for the economy of tomorrow, they're wondering where artificial intelligence (AI) fits on the priorities list. A growing body of evidence suggests that most organisations, regardless of industry, cannot afford to move slowly on AI adoption.

With the increasing number of hacking activity Google, Microsoft uses Artificial Intelligence to fight against the hackers.

Products with artificial intelligence (AI) and machine learning will have an outsized presence.