https://go.mlops.community/HighSignalPodcast

// 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

https://shop.mlops.community/

// 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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