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Tech on the Rocks
Unifying structured and unstructured data for AI: Rethinking ML infrastructure with Nikhil Simha and Varant Zanoyan
Aug 30, 2024
Nikhil Simha and Varant Zanoyan, both seasoned engineers with rich backgrounds in data systems and ML infrastructure, discuss the intricate balance of structured and unstructured data in AI. They delve into the challenges of merging real-time data with machine learning, emphasizing the importance of user-friendly APIs. The conversation touches on failures in data transformation and effective strategies for startups to engage users. They also introduce Cronon, an open-source platform, highlighting its potential to improve data orchestration and user experience.
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Quick takeaways
- Nikhil and Varant emphasize the importance of merging real-time data processing with user-friendly design to improve AI infrastructure.
- The conversation highlights the necessity of creating a unified data layer that efficiently handles both structured and unstructured data types.
Deep dives
Innovative Approaches to ML and AI Workflows
The episode highlights how the startup Zipline is redefining the integration of machine learning (ML) and artificial intelligence (AI) by simplifying the development of workflows. Founders Nikhil and Varanth discuss their background and how their experiences at companies like Instagram, Amazon, and Airbnb have influenced their vision for Zipline. They emphasize the need for real-time data processing integrated with user-friendly design to improve data infrastructure, a sentiment supported by their development of Cronon, an open-source data platform. Cronon demonstrates their commitment to creating a more manageable environment for data orchestration, thereby addressing one of the significant challenges in AI implementations today.
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Discover
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