Leveraging AI at $300B Scale: Lessons from McKesson’s Head of Enterpise AI Lab

The conversation with Zachary Elewitz covers a range of topics related to AI governance, risk management, and the future of AI-enabled workforce. Zachary shares insights on balancing AI experimentation with risk governance, collaborative governance, centralized vs. decentralized AI labs, translating soft efficiency metrics into hard financial value, AI governance frameworks, building vs. buying AI solutions, professional support and skill sets for AI enablement, and the future of workforce enabled by AI.Chapters00:00 Introduction and Background01:23 Balancing AI Experimentation and Risk Governance03:50 Collaborative Governance and Legal Compliance08:15 Centralized vs. Decentralized AI Lab11:31 Translating Soft Efficiency Metrics into Hard Financial Value15:00 AI Governance Frameworks for Speeding Up Innovation17:37 Building vs. Buying AI Solutions22:29 Professional Support and Skill Sets for AI Enablement33:17 Future of Workforce Enabled by AI36:07 AI Pet Peeves and Key Messages