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Wednesday, July 26, 2017

The Flaw of AI Implementation

Disagree with the 'fatal' part,  but it is a major problem.  Been talking this since the last AI summer. Its best to model or at least sketch out the business process first, before you start, to make sure you are addressing the right thing, with the right data.  Get the owner/users of the process involved early, and repeatedly during development.

The Fatal Flaw of AI Implementation     by Jeanne Ross  from MIT Sloan.

There is no question that artificial intelligence (AI) is presenting huge opportunities for companies to automate business processes. However, as you prepare to insert machine learning applications into your business processes, I’d recommend that you not fantasize about how a computer that can win at Go or poker can surely help you win in the marketplace. A better reference point will be your experience implementing your enterprise resource planning (ERP) or another enterprise system. Yes, effective ERP implementations enhanced the competitiveness of many companies, but a greater number of companies found the experience more of a nightmare. The promised opportunity never came to fruition.

Why am I raining on the AI parade? Because, as with enterprise systems, AI inserted into businesses drives value by improving processes through automation. But eventually, the outputs of most automated processes require people to do something. As most managers have learned the hard way, computers can process data just fine, but that processing isn’t worth much if people are feeding them bad data in the first place or don’t know what to do with information or analysis once it’s provided.

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