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In this episode of AI Agents at Michigan State University, Professor Mohammad Ghassemi welcomes Dr. Sidd Shenoy, Vice President of Data and Analytics Technologies at Wolters Kluwer, where he leads three strategic Centers of Excellence: AI, Data, and Patents. Dr. Shenoy shares insights from nearly two decades of experience in AI product development across industries including legal, healthcare, and finance - drawing on his prior leadership at Thomson Reuters and his PhD in Biophysics from Carnegie Mellon University. Together, they discuss: 1. Practical challenges in deploying AI safely and at scale 2. The “Iron Triangle” of AI systems (accuracy, latency, and cost) 3. Evaluation and measurement of model quality (“evals”) in production environments 4. Human–AI collaboration and the importance of discernment, delegation, and distillation 5. How fresh graduates can prepare for AI-driven industries, including critical thinking, continuous learning, and building scalable systems 6. Emerging tooling and design patterns in agentic AI systems, including reflections on orchestration platforms like LangChain and MCP Dr. Shenoy offers candid reflections on industry realities, from managing messy data to defining “what good looks like” in enterprise AI. This session is essential for students and practitioners looking to bridge academic learning with real-world AI deployment.