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Run `modelbit.deploy()` from your Jupyter Notebook to deploy your ML model to production. Automatically get REST and Snowflake inference endpoints. Version control, CI/CD, logging, containerization, pipelines and feature stores come built-in.
ModelbitHeroku for Data Science, from the founders of Periscope Data
Harry Glaserleft a comment
👋 Hey makers! My best friend Tom and I have spent our careers making data tools together. After spending the last decade building Periscope Data, we're launching our next project, Modelbit! 🚀 Modelbit is a labor of love after a decade spent watching data scientists struggle to deploy models. The data scientists at Big Tech companies get whole teams of ML Engineers to help them deploy. Everyone...
ModelbitHeroku for Data Science, from the founders of Periscope Data
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SaaStr - 030: Harry Glaser, Co-Founder @ Periscope DataBuilding & training a non-technical sales team
Harry Glaserleft a comment
Hi all -- big day for us @ Periscope Data! Our data cache speeds up data analyses by about 150X! It's something we've worked on with Amazon using their Redshift technology, and beta tested for a while with some of our larger customers. We're excited to unleash it to the world today. For the engineers in the house, on top of Redshift, we've added automatic cache updates and coherence (truly the...
Periscope Data Cache150X faster data analysis
Periscope Data Cache150X faster data analysis
PeriscopePro tools for SQL analysts