
Building AI Without Foundations
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In this episode of the Data Analytics Chat podcast, we dive deep into the world of data and AI with Linda Powell, former Deputy Chief Data Officer. Linda shares insights from her unique career journey, spanning roles at the Federal Reserve, Treasury Department, Citibank, and more. She discusses the differences and similarities between public and private sectors, the importance of data foundations in AI, and offers advice for those looking to build their careers in data management. Learn about challenges, pivotal career moments, and the value of education and curiosity in navigating the evolving data landscape.
00:00 Public vs. Private Sector: A Personal Insight
01:08 Introducing Linda Powell: Career Highlights
01:52 Linda's Career Journey: From Economics to Data Management
04:20 Public vs. Private Sector: Motivations and Misconceptions
10:57 Defining Moments and Career Setbacks
14:09 The Importance of Education and Curiosity
18:57 Overcoming Challenges and Embracing Leadership
21:56 Learning Leadership Through Books
22:43 The Importance of Kindness in Leadership
23:12 Building a Motivated Team
24:00 Leadership by Example
25:33 Transition to Data and AI
26:06 The Hype and Strategy of AI
27:20 The Speed and Complexity of AI
30:42 The Importance of Data Foundations
36:05 AI in Sensitive Industries
39:34 Balancing Quick Wins and Long-Term AI Strategy
42:29 Starting Points for AI Foundations
44:11 Conclusion and Final Thoughts
Thank you for listening!