In this conversation, the speakers discuss the intersection of data strategy and AI strategy, emphasizing the importance of collaboration between different roles within the organization. They outline their 12-month plans for AI implementation, focusing on governance, risk management, and the challenges of data governance. The discussion also touches on the ownership of AI production systems and the principles that guide decision-making in the face of conflict. The speakers highlight the need for a balance between innovation and risk management, as well as the importance of maintaining strong partnerships within the organization. Show Notes: 00:00 Introduction to Data and AI Strategy 08:52 12-Month Plan for AI Implementation 17:45 Balancing Innovation and Risk Management 24:50 Data Governance and Security Challenges 27:21 Managing Shadow AI and Encouraging Innovation 28:46 Vision and Innovation: The Importance of Rechecking Paths 30:34 Navigating Customer Relationships and Risk Management 31:40 Understanding NPU Technology and Its Implications 34:09 Balancing AI Workloads: Cloud vs. Local Processing 35:31 Contractual Considerations in AI Partnerships 38:48 Ownership of AI Production Systems: A Collaborative Approach 43:29 Establishing Governance and Support Structures for AI 46:04 Defining Tiebreaker Principles in AI Decision-Making 50:07 Operationalizing Governance and Risk Management 51:55 Commitments to Innovation and Collaboration