Five Rules for Fixing AI in Business


Companies struggle to use AI to improve the way their businesses operate, a challenge that can be mitigated by following five rules. There are two faces to the machine-learning component of artificial intelligence algorithms. There are the gee-whiz competitions in which data grand masters, given fixed rules, design algorithms that set in motion a race to solve aspects of complex problems like HIV or traffic forecasting. Open-source libraries have been created to house the winning solutions, allowing parts of them to be used again in future contests. Because speed is crucial, automated data manipulation and pattern identification are frequently employed. The other face of machine learning involves the more real-world challenge of how to fix an obsolescent business process or address a business challenge using algorithms and programs.

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