Open Data Group Presents:

3-Day Mini-Series ModelOps – Get it done.

According to the Gartner Research article Predicts 2019: Analytics and BI Strategy, the authors recommend that data and analytics leaders“Do not deploy analytic tools without first ensuring that processes are established to drive operationalization of the results, and that the business culture is receptive to analytic insight.“  We agree. To support model operations within organizations, Open Data Group has developed a Model Development Life Cycle (MDLC) process to transform your data and Machine Learning into usable business value. 

 

Open Data Group will hold a free, 3-day series called “ModelOps – Get it done”. These classes will be focused and specific, held for 30 minutes each day on Tuesday, February 19th, Wednesday, February 20th and Thursday, February 21th at 1PM EST.  Join Garrett Long, VP of Marketing at Open Data Group as he shares how a combination of technology and processes can help solve fundamental model operations challenges.  

The three sessions will give deep insights to processes to support model ops, an example of A/B testing supported by these processes, and a view on cloud architectures to support model ops.
  • Day One:Defining a Model Development Life Cycle.  This session will cover the motivation for, and the details of building, an MDLC
  • Day Two: A/B testing a model in an AWS environment while simultaneously capturing model lineage data.  This session will share an approach to A/B testing a linear regression model leveraging CI/CD automation tooling, and capturing the important meta data for each model.
  • Day Three: Architectures for Model Operations.  This session will review a few architectural approaches that can be used to scale model operations.

 

When:
Tuesday, February 19th
Wednesday, February 20th
Thursday, February 21th
Time:
1:00PM - 1:30PMEST.

Garrett GreeenGarrett Long, VP Business Development

Garrett Long is the Vice President of Business Development at Open Data Group. He holds a BS in Electrical Engineering from Carnegie Mellon University. At Open Data Group, Garrett focuses on helping customers understand, develop and implement use cases leveraging FastScore.