AI In DevOps: Managing Non-deterministic Workflows And Ensuring Model Lineage And Transparency

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AI in DevOps: Managing Non-deterministic Workflows and Ensuring Model Lineage and Transparency - DevOps 214

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Today, Will and Warren dive into the intersection of DevOps and AI with our special guest, Görkem Ercan, CTO of Jozu and a seasoned expert in developer tools and DevOps. In this episode, they explore the practical applications and challenges of integrating Machine Learning into DevOps workflows, utilizing real-world examples like global shirt distribution and the US Army's sizing issues. They also discuss the critical role of psychological safety in successful teams, the surprising origins of the webcam, and the remarkable engineering feats of the Voyager spacecraft.
Moreover, they unpack the intricacies of AI model management, confronting issues like non-deterministic outcomes, data drift, and the need for a unified control plane to handle complex, dynamic environments. They touch on the rise of internal AI management, the innovative use of sentiment analysis in customer support, and the surprising interest from consulting firms in AI-driven solutions.
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