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A future data scientist needs business, deep learning skills

A future data scientist needs business, deep learning skills

Media Coverage

As automation increases and business needs evolve, so will the ranks of data scientists. But while the future data scientist role may look a little different — with a heavier focus on business operations and oversight — it will be no less important to enterprises.
“As the adoption of automated machine learning platforms … spreads, the role of the data scientist will become less about building models and more about implementing them in a meaningful way,” said Forrester analyst Brandon Purcell.


Read the full article “A future data scientist needs business, deep learning skills” in the TechTarget featuring Ryohei Fujimaki, dotData CEO and founder.

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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.