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The Future of Data Science with Automated Machine Learning
Friday, April 2, 2021
Table of contents
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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
Speakers
Moderator: Michele Goetz, VP, Principal Analyst, ForresterKristie J. Rowley, PhD, Principal Data Scientist; Manager of Data Science Professional Services, DomoBob Maus, AWS, Head of WW ML Services Specialist Team, AWSSean Thompson, IT Director, Freddy's Frozen Custard & Steakburgers
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