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Creating and testing machine learning models is time consuming, and delivering results in production at high volumes is prone to error. Automating the development of models is not only helping companies reduce errors but it’s also uncovering powerful business insights faster.

Join our upcoming webinar to learn how to:

  • Use automation to dynamically select optimal machine learning models for your use case
  • Automate the process of deploying models to production with high-volume data pipelines
  • Configure your automation to quickly scale up and down as data volumes change

SPEAKERS

 
 
Nauman Fakhar.jpeg
 

Nauman Fakhar
Solutions Architect
Databricks

 
Brett Olmstead.jpeg
 

Brett Olmstead
Data Scientist
DataRobot

 
 
 


 
DataRobot, Inc, One International Place, 5th Floor, Boston, MA 02110
 

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