#434 Managing AI Risks: Jim Olsen on Governance, Compliance, and Business Strategy

“Most companies can’t answer the fundamental questions about their AI models—where they’re used, how they’re performing, and if they’re compliant. That’s where AI governance comes in.” — Jim Olsen In this episode of The CTO Show with Mehmet, we dive deep into AI governance, compliance, and risk management with Jim Olsen, the CTO of ModelOp, a leading AI governance firm. As AI adoption accelerates, enterprises must navigate the complexities of AI governance, regulatory compliance, and business strategy. Jim shares his journey in AI, the importance of AI governance, and how enterprises can balance innovation while mitigating risks. Whether you’re a tech leader, founder, or executive, this episode provides valuable insights into securing AI models and ensuring responsible AI use in businesses. Key Takeaways: ✔️ AI governance is not just about regulation—it ensures AI models drive business value. ✔️ Most enterprises lack visibility into how AI is being used internally, leading to compliance risks. ✔️ AI models are non-deterministic, requiring monitoring and lifecycle management. ✔️ Regulatory frameworks are evolving, and businesses must be prepared for compliance. ✔️ Balancing AI innovation with risk management is crucial for long-term success. What You’ll Learn in This Episode: 🚀 Why AI governance is a critical priority for enterprises. 📊 How organizations can track AI models and ensure compliance. ⚖️ The evolving landscape of AI regulations in the US and Europe. 🛡️ Strategies to mitigate AI risks and protect business reputations. 💡 The role of AI in business decision-making and automation. About the Guest – Jim Olsen Jim leads the technical innovation and design of the ModelOp Center platform. He also is integral to advising ModelOp customer CIOs and CTOs on requirements to better support their IT operations as they execute on digital business strategies that often strain technology infrastructure. Prior to ModelOp, he was Director of Software Development at Think Big, a Teradata Company for the Americas consulting organization, and responsible for the design of their Analytics Ops framework. Jim has also held technical design and architect positions at Qualtrics, W.J. Bradley Company, and Convasant and was a Distinguished Engineer at Novell. Jim holds a Bachelor of Science in Computer Science and Psychology from Clarkson University and currently has two patents in his name. Connect with Jim on LinkedIn at  https://www.linkedin.com/in/jimolsen/ https://www.modelop.com/ Episode Highlights & Timestamps: ⏳ [00:01:00] – Jim Olsen’s background and how he got into AI governance. ⏳ [00:03:30] – Why enterprises struggle with AI oversight and compliance. ⏳ [00:06:00] – The disconnect between AI adoption and C-suite understanding. ⏳ [00:09:00] – AI regulations: What’s changing and how businesses should prepare. ⏳ [00:14:30] – Risks of deploying AI models without governance. ⏳ [00:18:00] – Generative AI: Potential, pitfalls, and business impact. ⏳ [00:23:00] – Best practices for AI governance in enterprises. ⏳ [00:28:00] – The CTO’s role in balancing AI adoption with compliance. ⏳ [00:35:00] – Future of AI: Agentic AI, automation, and evolving risks.