The Future of Data Science with Automated Machine Learning

A flurry of solutions are empowering non-data scientists to build predictive models while boosting existing data scientists’ productivity. AutoML is quickly becoming a must-have for every organization looking to scale ML capabilities. This roundtable explores how enterprises can best leverage AutoML tools no matter where they are in the process.

In this session, you’ll learn:

  • How the future of data science is being impacted by increasing adoption of AutoML workflows, from data prep through feature engineering, model training, validation, and Modelops
  • How to prepare the enterprise for a full lifecycle AutoML solution
  • How to balance a roadmap for the future while remaining pragmatic in the present

Moderator: Michele Goetz, VP, Principal Analyst, Forrester
Kristie J. Rowley, PhD, Principal Data Scientist; Manager of Data Science Professional Services, Domo
Bob Maus, AWS, Head of WW ML Services Specialist Team, AWS
Sean Thompson, IT Director, Freddy’s Frozen Custard & Steakburgers

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