It’s challenging to get data scientists where you need them. And if you’re managing an AI project, better be prepared for handling moving targets. These are some of the results of a survey of chief data scientists and analytics officers that we recently concluded.
During a briefing with Kimberly Nevala, director of business strategies for SAS this afternoon, we facetiously posed the question of why they were wasting their time engaging with clients about artificial intelligence (AI). The topic of her talk last week at Strata on rationalizing risk with AI and ML struck a chord with us. Navala’s message was that understanding what your models can and cannot do is key to the getting AI to succeed in your business, with her presentation outlining how to quantify your confidence levels in AI and ML models.
Author: Tony Baer (Ovum)
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