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.
Speakers:
Jamal Khan – Chief Growth and Innovation Officer, Connection
Scott Sova – Senior Vice President and CIO, Connection
Kipp Alvarez – Principal Data Analyst, Connection
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
