In this episode, Logan Kilpatrick and Nolan Fortman dive deep into building AI product's with Marily Nika, a lead product manager at Google. We explore how AI on its own is not a product. AI product managers act as a bridge between AI and user needs. The role of AI product managers is to solve the right problems for users by leveraging AI capabilities. The demand for AI product managers is increasing, with companies like Anthropic and OpenAI actively hiring for these roles. AI product managers need to be comfortable with technology and have a good understanding of AI concepts and options. They also need to collaborate with scientists and engineers to make informed decisions about technical approaches. And much more!
Chapters
00:00 Introduction to AI Product Management
03:32 Technical Skills for AI Product Managers
04:20 Similarities and Differences in AI Product Management
05:36 The Future of AI Product Management
07:24 Challenges Faced by AI Product Managers
09:50 Ethics and Privacy Considerations in AI
11:46 Transition to AI Educational Sector
14:36 Product Management Culture in Different Companies
19:05 Evaluating the Potential and Feasibility of AI Projects
21:30 Metrics for AI Product Success
23:26 Impact of Academic Research Background
25:23 Getting Started in AI Product Management
28:41 The Role of AI Product Managers in the Future
31:04 Lessons Learned and Hard Challenges
33:03 Tools and Resources for AI Product Managers
35:46 Enhancing Human Creativity with AI
38:04 Integration of AI into Experiences
40:51 Considerations for Building AI Systems for Global Audiences
42:14 Exciting and Cautious Aspects of AI in 2024