Automation Takes on the Heavy Lifting of Data Management

Automation Takes on the Heavy Lifting of Data Management

February 20, 2019

There are areas of the data center that may be out of reach from automation for a myriad of reasons.

“Much of database automation is about storing data, and maintaining data, but less about extracting significant business insights out of the data stored in the database,” said Ryohei Fujimaki, CEO of dotData. “As we all know, data is only as valuable as the business insights it produces.

From that perspective, the current database automation technology needs improvement in this area.”
Read the full article on Database Trends and Applications featuring Ryohei Fujimaki, dotData CEO and founder.


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, and join us on Twitter and LinkedIn.