DiscoverHard Problems, Smart Solutions: The Newfire PodcastAI With Purpose: How to Build Products that Matter
AI With Purpose: How to Build Products that Matter

AI With Purpose: How to Build Products that Matter

Update: 2025-07-03
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In this episode of “Hard Problems, Smart Solutions: The Newfire Podcast,” Newfire’s VP of Data & AI, Gordon Wong, sits down with Lauren S. Moores, AI Catalyst and Strategic Advisor, better known as the Data Queen, to talk about the real-world impact of AI, and what it takes to move from buzzwords to meaningful product outcomes.
With over 30 years of experience in data innovation, Lauren shares insights on the critical role of context and storytelling in utilizing Large Language Models (LLMs), the evolving landscape of healthcare data, and the future of AI strategy. The conversation covers her experiences across various industries, practical advice on data strategy, the impact of generative AI, and the importance of focusing on the business problem at hand. Lauren emphasizes the need to stay curious, ask why, and continuously innovate to build meaningful solutions.

00:47 Introduction to the Podcast and Guest

01:32 Lauren Moores: The Data Queen

07:18 Challenges and Innovations in Healthcare Data

10:15 The Role of AI in Drug Development and Food Science

18:16 Wearables and Personal Health Data

22:01 AI Strategy vs. AI Theater

27:49 Adapting Systems for AI

28:48 Challenges in Healthcare AI

31:26 The Importance of Storytelling in Data

35:38 Skills for Future Data Professionals

38:59 Building Effective Data Teams

42:35 The Role of BI Tools

49:22 Misconceptions About AI in Healthcare

50:13 Final Thoughts and Advice

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AI With Purpose: How to Build Products that Matter

AI With Purpose: How to Build Products that Matter

Newfire Global Partners