AI: The view from the Chief Data Science Office ZDNet

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. One of our most-read posts was the one a few months ago about the importance of not forgetting people and process when running AI projects. Over the past few months, we had the chance to speak at depth with over a dozen senior analytics and data science executives to get a better handle on managing the people and process side of AI projects.