Council Post: 2022 Will Be The Year Of Applied AI

As CTO of Solutions at Rackspace Technology, Jeff is fanatical about helping people and companies see more success with technology. For decades, since the 1950s when the term "artificial intelligence" (AI) was allegedly first coined, the concept of a machine brain that could think for itself, arrive at decisions and perform specific functions has been both tantalizing and frightening. It was tantalizing because it held the promise of greater efficiency, the elimination of mundane tasks and a world where machines could anticipate our needs, but it was frightening because of overheated visions of job losses in the billions and machines run amok. Even today, when we can see its positive effects in so many parts of our lives, "AI-phobia" is alive and well. Still, it's fair to say that despite breathless predictions, the advent of AI and its cousin machine learning (ML) has been slower to develop and far less threatening than many had imagined, despite massive leaps in computational ability, the rise of neural networks, more and more powerful chips and the ability to parse data in record time.