It should come as no surprise to all serious professionals that the age of Artificial Intelligence, Machine Learning, and Data Analytics is here – this time, to stay for good.
The first time around, back in the early 80’s to mid-90’s – a period of roughly two decades – AI got a lot of exciting hype, especially around the topics of Expert Systems, Natural Language Processing, and Computer Vision. The premise underlying all of AI at that time was that the human capability of learning was really a set of as yet unknown algorithms that knew how to take data of various types and reason from it. However, the common perception was that the promise of AI had not been met.
