))
AI With Purpose: How to Build Products that Matter
Manage episode 492390807 series 3616892
Content provided by Newfire Global Partners. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Newfire Global Partners or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
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
7 episodes
Share
