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ML at scale: how Udaan built its ML platform

ML at scale: how Udaan built its ML platform

Sai Sharan Tangeda, Mohit Kumar, Sampan Nayak - ML platform team at Udaan

38 minutes11 November 2022
Make AI real - from labs to production

Make AI real - from labs to production

Ravi Kumar Meduri, Executive Vice President at Innominds

34 minutes11 November 2022
Panel: Building value to MLOps with data governance

Panel: Building value to MLOps with data governance

Ashwin Kumar (Borneo), Balvinder Khurana (ThoughtWorks), Sathish KS (Zeotap), Srinivasa Rao Aravilli (Visa)

48 minutes11 November 2022
War stories on MLOps and data governance - learnings from Data Mesh

War stories on MLOps and data governance - learnings from Data Mesh

Madhu Podila - Data strategist at ThoughtWorks

30 minutes11 November 2022
How PayPal uses Inference Graphs to design ML systems

How PayPal uses Inference Graphs to design ML systems

Sharmili Srinivasan, Saurav Raj - ML engineers at PayPal

40 minutes11 November 2022
Fast development of ML applications - do the right thing.

Fast development of ML applications - do the right thing.

Dr. Venkata Pingali, Co-founder & CEO at Scribble Data

34 minutes11 November 2022
Panel: Developing ML applications

Panel: Developing ML applications

Dr. Venkata Pingali (Scribble Data), Saransh Verma (TerraPay) and Malavika Lakireddy (Zeotap)

40 minutes11 November 2022
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