AI is often referred to as a "black box" as AI practitioners struggle to explain why a model generates a given prediction. As AI is being deployed into the real world, organizations are not only tasked with producing high performance models but also with avoiding AI models that are bias (and have a negative impact on society). In this episode, I am joined by Will Uppington, Founder and CEO of TruEra. He and his cofounders have set out to enable deployments of high-performance AI solutions that are transparent and build trust. If your company is looking to scale it's AI initiatives, head over to Tesoro AI (www.tesoroai.com) – experts in AI strategy, staff augmentation, data labeling, and AI product development. 2:00 Before TruEra: Discovering the challenges in AI quality, model explainability and monitoring 5:00 Finding co-founders out of academia 6:00 Use case selection in the enterprise 8:00 Where and how to get the most business value out of AI? 12:03 The advantages of iteration when in comes to machine learning 13:45 Building a team of founders focused on societal impact of AI 16:34 The importance of explainability in AI 19:16 Speeding up the discovery and debugging of bias AI models 22:20 Engaging with the TruEra platform – how it works 26:47 TruEra's value proposition explained 34:06 Most helpful tech tools at TruEra 35:00 Who has inspired Will most?

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