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