Lenny's Podcast: Product | Growth | Career AI and product management | Marily Nika (Meta, Google)
109 snips
Feb 5, 2023 Marily Nika, an AI Product Leader at Meta and previous Google expert, dives into the evolving landscape of AI in product management. She emphasizes the future necessity for Product Managers to embrace AI tools and coding skills. Marily shares insights on navigating AI's rapid advancements and its impact on product strategies. The conversation touches on the importance of collaboration with data scientists and the challenges AI product managers face. She also highlights the benefits of her AI Product Management course and suggests essential resources for aspiring PMs.
AI Snips
Chapters
Books
Transcript
Episode notes
AI Problem/Solution Fit
- To incorporate AI, first identify a specific problem that needs a smart solution.
- Avoid AI for MVPs; focus on areas with existing data or adjacent product leverage.
AI in MVPs
- Don't use AI for your MVP; fake it with prototypes for initial user feedback.
- Utilize AI when you have data, focusing on meaningful recommendations and automation, not MVPs.
AI Models Explained
- An AI model, like a child's brain, learns patterns from labeled input (e.g., images, text).
- It processes information, identifies patterns, and outputs probabilities based on those patterns.
