How to ensure your A.I. gets good nutrition
Like children, artificial intelligence needs proper parenting to achieve its full potential, and proper parenting starts with a healthy diet — of good data.
Businesses increasingly acknowledge the potential of A.I. to accelerate decision making, but many have serious concerns about what is happening inside the black box. The quality of any A.I. can only be as good as the data it processes. Of course, “garbage in, garbage out” has long been an analytics refrain, but it’s even more important for A.I.
Why? Consider the difference between the two. An analytics solution typically provides a graph prioritizing the results. Ask an analytics program why sales are down in the Northeast region, and you’ll essentially get a list of possible factors: supply chain hiccups, demographic changes, social media trends, etc. A human then has to evaluate the results to determine which factors to base the ultimate decision on. A cognitive A.I. approach is less transparent. Ask an A.I. why sales are down in the Northeast region and you get a single, definitive answer. That’s it. Done deal.
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