Have now been involved in a number of AI and expertise delivery projects over the years. In recent years much of the conversation starts with Watson. And solution methods I have worked with are have often started with Watson components. So what is it, and how can it drive better decisions?
In more recent years I have been using elements of Watson as one tool. But what is that, and how can it be used? How has it morphed since its initial development? I like two non technical articles by William Vorhies at Data Science Central. Not complete, and there is still confusion between making human decisions and just finding complex patterns. But very useful.
First what is the historical Watson Question Answering Machine (QAM)?:
https://www.datasciencecentral.com/profiles/blogs/what-exactly-is-watson
And Second, how are Watson and its components being used today?
https://www.datasciencecentral.com/profiles/blogs/what-can-modern-watson-do
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