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Unifying structured and unstructured data for AI: Rethinking ML infrastructure with Nikhil Simha and Varant Zanoyan
Manage episode 437216277 series 3594857
Kostas Pardalis, Nitay Joffe에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Kostas Pardalis, Nitay Joffe 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
In this episode, we dive deep into the future of data infrastructure for AI and ML with Nikhil Simha and Varant Zanoyan, two seasoned engineers from Airbnb and Facebook. Nikhil and Varant share their journey from building real-time data systems and ML infrastructure at tech giants to launching their own venture.
The conversation explores the intricacies of designing developer-friendly APIs, the complexities of handling both batch and streaming data, and the delicate balance between customer needs and product vision in a startup environment.
Contacts & Links
Nikhil Simha
Varant Zanoyan
Chronon project
Chapters
00:00 Introduction and Past Experiences
04:38 The Challenges of Building Data Infrastructure for Machine Learning
08:01 Merging Real-Time Data Processing with Machine Learning
14:08 Backfilling New Features in Data Infrastructure
20:57 Defining Failure in Data Infrastructure
26:45 The Choice Between SQL and Data Frame APIs
34:31 The Vision for Future Improvements
38:17 Introduction to Chrono and Open Source
43:29 The Future of Chrono: New Computation Paradigms
48:38 Balancing Customer Needs and Vision
57:21 Engaging with Customers and the Open Source Community
01:01:26 Potential Use Cases and Future Directions
8 에피소드
공유
