From Hype to Practicality: Making AI Work for Business with David Trier

This week on Lean Into Excellence, we're joined by David Trier, an experienced leader in product management and AI operations, as well as the VP of Product at ModelOp. Together, we explore the evolving role of AI in business—cutting through definitions and misconceptions to uncover how organizations can harness AI responsibly.

David shares practical insights on balancing innovation with governance and risk management, highlighting why companies must not only embrace AI's potential for productivity and process efficiency, but also prepare for the challenges it brings.

We also dive into the future of AI in the enterprise, the rise of ModelOp, and what leaders can do today to ensure safe, effective, and scalable adoption of AI.

Dave Trier, Vice President of Product at ModelOp

Dave has more than 20+ years of experience as a Data & Analytics, Model Operations/MLOps, and AI strategy expert. Most notably, in a previous role as a manager and consultant at Accenture, he led large-scale enterprise transformation projects and helped pioneer the space of ModelOps through various Accenture consultancy tools and solutions. Prior to joining ModelOp, where he defines and executes strategy for ModelOp Center, Dave held several technology and data leadership roles. This included VP of Advanced Analytics Services at Teradata, and Chief Technology Officer at Powered by Action. With his two decades of technology and product management experience and multiple patents in his name, Dave helps ensure ModelOp continually delivers cutting edge innovation, helping enterprises implement and drive business transformation with ground-breaking technologies—from AI, big data, and cloud computing, to IoT solutions.

Connect with him on LinkedIn at https://www.linkedin.com/in/davidetrier/

Learn more about ModelOp: https://www.modelop.com/

00:00 Introduction to AI and Its Impact on Business 04:58 Understanding AI: Definitions and Misconceptions 09:37 AI in Business Operations: Practical Applications 12:12 Navigating Risks and Governance in AI Adoption 16:22 Cultural Resistance and Employee Perspectives on AI 21:38 Future of AI: Trends and Predictions 27:27 Model Ops: Enabling Safe AI Implementation