DiscoverRun Rate
Run Rate
Claim Ownership

Run Rate

Author: Sam Mirkhodjaev and Ravil Rakhmatullin

Subscribed: 0Played: 15
Share

Description

On Run Rate, AI startup founders Sam Mirkhodjaev and Ravil Rakhmatullin deconstruct the technology behind complex products.
2 Episodes
Reverse
Sam Mirkhodjaev and Ravil Rakhmatullin cover the recent partnership between Snowflake, Tekton and Feast, and the opportunities it creates for MOps and data pipelines and management in general. In the first episode of the Run Rate podcast, we discuss why MLOps is the most exciting area in tech today and how Snowflake will create challenges for traditional cloud providers.00:30 How the partnership extends the narrative that Snowflake has been building so far?03:15 Why MLOps is the most exciting area in tech today and why Snowflake will ultimately win traditional cloud providers?07:30 Challenges for Al in enterprise in the past and today.13:15 How feature stores will enable product building for common and edge use cases.15:30 How does such industry evolution contribute to Build vs Buy?19:22 Does Snowflake anticipate growing demand for shared and synthetic data that are made accessible for model training by third-party companies?22:22 Should public data be moved to third-party services such as Snowflake to empower stakeholders.
Sam Mirkhodjaev and Ravil Rakhmatullin cover the recent partnership between Snowflake, Tekton and Feast, and the opportunities it creates for MlOps and data pipelines and management in general. In the first episode of the Run Rate podcast, we discuss why MLOps is the most exciting area in tech today and how Snowflake will create challenges for traditional cloud providers.00:30 How the partnership extends the narrative that Snowflake has been building so far?03:15 Why MLOps is the most exciting area in tech today and why Snowflake will ultimately win traditional cloud providers?07:30 Challenges for AI in enterprise in the past and today.13:15 How feature stores will enable product building for common and edge use cases.15:30 How does such industry evolution contribute to Build vs Buy?19:22 Does Snowflake anticipate growing demand for shared and synthetic data that are made accessible for model training by third-party companies?22:22 Should public data be moved to third-party services such as Snowflake to empower stakeholders.
Comments 
Download from Google Play
Download from App Store