MLOps.community AI's Next Frontier // Aditya Naganath // #277
18 snips
Dec 11, 2024 Aditya Naganath, an experienced investor at Kleiner Perkins, delves into AI's next frontier, focusing on the collaboration between AI and knowledge workers. He discusses the evolving landscape of AI investments, emphasizing the significance of strong teams and go-to-market strategies. The conversation also highlights the shift towards low-code and no-code tools, democratizing access to technology, and innovative challenges in AI infrastructure. Aditya provides insights into GPU reliability issues, economic dynamics in AI services, and the growing importance of inference in the AI space.
AI Snips
Chapters
Transcript
Episode notes
Novel Approach
- Beyond team strength, look for novel approaches in startups.
- A unique approach helps rise above the competition and indicates deeper product thought.
Consumer AI Challenge
- Consumer-facing AI apps are challenging due to competition for user attention.
- Focus on user retention as a key metric, treating consumer behavior as a black box.
MLOps Outcomes
- Many MLOps companies haven't achieved great outcomes because enterprises often build custom solutions in-house.
- MLOps startups struggle to capture significant budget share due to customization demands.