Harness the power of Snowflake to build your ML applications

Building feature pipelines with your Snowflake data
Hudson Buzby
Hudson Buzby
Solutions Architect at Qwak

An exclusive demonstration that will showcase the seamless integration of Snowflake with Qwak, enabling you to harness the full potential of your data and build state-of-the-art Machine Learning (ML) models in less than 30 minutes.

During this session, our experts will show how to

  • Build feature pipelines that connect your Snowflake data to the Qwak feature store
  • Run distributed scalable batch models on top of your Snowflake data
  • Streamline real-time inference data to Snowflake and gain visibility to your real time models

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Qwak optimizes ML Model Production

“We ditched our in-house ML platform for Qwak. I wish we had found them sooner.”
“Qwak streamlines ML development from prototype to production, freeing us from infrastructure concerns and maximizing our focus on business value.”
“People ask me how I managed to deploy so many models while onboarding a new team within a year. My answer is: Qwak.”
“From the get go, it was clear that Qwak understand our needs and requirements. The simplicity of the implementation was impressive.”
“Before Qwak, delivering a new ML model took weeks... Now the research team can work independently and deliver while keeping the engineering and product teams happy.”
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“Using Qwak allowed us to focus on creating value for customers and rather than spending valuable time on our infrastructure setup.”
“Our data science teams deliver end to end ML model services however building infrastructure is not our business focus and therefore Qwak were ideal for us”
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