![ModelOps: Control & Governance Enterprise AI Models [podcast]](https://b1501978.smushcdn.com/1501978/wp-content/uploads/2020/01/Screen-Shot-2020-01-27-at-9.27.23-AM.png?lossy=0&strip=0&webp=1)
Data scientists are producing models that are making substantial contributions to the business, and thus more and more models are being used in production applications. But as a result, data scientists face several challenges.
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Many enterprise leaders have taken a “Field of Dreams” approach to AI ROI — “If we build it, profits will come.” While it’s one thing to take that approach for smaller pilot projects, it’s another thing when you’re consistently being asked to fund initiatives with seven-figure price tags.
Case Study Reveals Significant Gains from Model Operations Platform and Organizational Alignment.
Leading ModelOps platform now includes solutions for Executive Visibility for AI, modernizing Model Risk Management and AI Orchestration
Few are able to answer basic questions such as “What’s the ROI of our AI investments?” or “What’s the exposure to our AI compliance risks?”
