AI's Next Frontier // Aditya Naganath // #277
MLOps.community
Navigating AI Investments
This chapter explores the complex landscape of investing in AI startups, focusing on key selection criteria such as team strength and unique market approaches. It emphasizes the need for effective go-to-market strategies and sustainable growth to ensure long-term success in a competitive environment.
Thanks to the High Signal Podcast by Delphina: https://go.mlops.community/HighSignalPodcast
Aditya Naganath is an experienced investor currently working with Kleiner Perkins. He has a passion for connecting with people over coffee and discussing various topics related to tech, products, ideas, and markets.
AI's Next Frontier // MLOps Podcast #277 with Aditya Naganath, Principal at Kleiner Perkins.
// Abstract
LLMs have ushered in an unmistakable supercycle in the world of technology. The low-hanging use cases have largely been picked off. The next frontier will be AI coworkers who sit alongside knowledge workers, doing work side by side. At the infrastructure level, one of the most important primitives invented by man - the data center- is being fundamentally rethought in this new wave.
// Bio
Aditya Naganath joined Kleiner Perkins’ investment team in 2022 with a focus on artificial intelligence, enterprise software applications, infrastructure, and security. Prior to joining Kleiner Perkins, Aditya was a product manager at Google, focusing on growth initiatives for the next billion users team. He previously was a technical lead at Palantir Technologies and formerly held software engineering roles at Twitter and Nextdoor, where he was a Kleiner Perkins fellow. Aditya earned a patent during his time at Twitter for a technical analytics product he co-created.
Originally from Mumbai, India, Aditya graduated magna cum laude from Columbia University with a bachelor’s degree in Computer Science and an MBA from Stanford University. Outside of work, you can find him playing guitar with a hard rock band, competing in chess or on the squash courts, and fostering puppies. He is also an avid poker player.
// MLOps Swag/Merch
// Related Links
Faith's Hymn by Beautiful Chorus: https://open.spotify.com/track/1bDv6grQB5ohVFI8UDGvKK?si=4b00752eaa96413b
Substack: https://adityanaganath.substack.com/?utm_source=substack&utm_medium=web&utm_campaign=substack_profile
With thanks to the High Signal Podcast by Delphina: https://go.mlops.community/HighSignalPodcast
Building the Future of AI in Software Development // Varun Mohan // MLOps Podcast #195 - https://youtu.be/1DJKq8StuTo
Do Re MI for Training Metrics: Start at the Beginning // Todd Underwood //
AIQCON - https://youtu.be/DxyOlRdCofo
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Timestamps:[00:00] Aditya's preferred coffee[00:07] Takeaways[01:33] Please like, share, leave a review, and subscribe to our MLOps channels![01:44] Investing in AI frenzy[02:23] Team dynamics insights[04:57] Evaluating fad companies[05:39] AI infrastructure and MLOps[07:58] Challenges in MLOps Standardization[08:59] ML vs Data platforms[14:08] LLMOps vs MLOps[17:52] Together vs Competitors[21:19] AI application areas[27:43] High Signal Podcast by Delphina Ad[28:36] AI co-pilot in coding[33:50] LLM providers overview[37:30] AI paradigms and competition[46:01] GPU failure management strategies[52:58] Inference drives cloud revenue[55:37] Wrap up
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