AutoML and Beyond – Part 1

dotData

September 27, 2019

Thought Leadership

With AutoML trending in data science, our CEO spoke at #Ai4Finance on data preparation, aggregating tables, feature engineering, the #AutoML process, and AutoML’s missing gaps. We’ll post the Conclusion / Part 2 next Thursday. Video: Part 1 – AutoML and Beyond.

dotData Inc.

dotData Automated Feature Engineering powers our full-cycle data science automation platform to help enterprise organizations accelerate ML and AI projects and deliver more business value by automating the hardest part of the data science and AI process – feature engineering and operationalization. Learn more at dotdata.com, and join us on Twitter and LinkedIn.

Industry Use Cases

August 12, 2020

AI Automation To Enable Smart Manufacturing

Industry Use Cases

October 8, 2020

Accelerating AI Transformation in Manufacturing

dotData

dotData Automated Feature Engineering powers our full-cycle data science automation platform to help enterprise organizations accelerate ML and AI projects and deliver more business value by automating the hardest part of the data science and AI process - feature engineering and operationalization. Learn more at dotdata.com, and join us on Twitter and LinkedIn.