At last, a way to build artificial intelligence with business results in mind: ModelOps

How should IT leaders and professionals go about selecting and delivering the technology required to deliver the storied marvels of artificial intelligence and machine learning? AI and ML require having many moving parts in their right places, moving in the right direction, to deliver on the promise these technologies bring — ecosystems, data, platforms, and last, but not least, people. 

Photo: IBM Media Relations

Is there a way for IT leaders to be proactive about AI and ML without ruffling and rattling an organization of people who want the miracles of AI and ML delivered tomorrow morning? The answer is yes. 

The authors of a recent report from MIT Sloan Management Review  and SAS advocates a relatively new methodology to successfully accomplish the delivery…

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