"Slow is smooth, smooth is fast." This saying rings true when it comes to AI adoption in today's fast-paced world. While everyone seems to be rushing toward the next big AI breakthrough, the reality is that hasty decisions often lead to costly mistakes.
In this episode of Data-Driven Leadership, Jess Carter sits down with Patrick McQuillan, global head of AI and data governance at a Fortune 500 company to discuss how leaders can adopt AI thoughtfully and sustainably. Patrick shares his expertise on balancing rapid innovation with long-term success, the critical role of AI governance, and how organizations can avoid common pitfalls in their AI journey.
Tune in to learn how a strategic, measured approach to AI can drive lasting impact for both businesses and their customers.
In this episode, you'll learn:
How AI governance reduces failure rates and protects trust
Why data foundations matter more than new models
What leaders should ask before they fund or scale AI
Things to listen for:
(00:00) Introduction to the episode with Patrick McQuillan
(05:50) Guidance for early AI adopters on pace and expectations
(12:41) When AI governance becomes a leadership priority
(15:28) The likelihood of public AI failures
(20:10) Long-term AI adoption
(26:36) AI in higher education and job readiness
(31:10) Responsible use of GenAI tools in the workplace
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