How Automation Will Change Data Science

Watch this video from CEO / Dr. Ryohei Fujimaki, and learn “How Automation Will Change Data Science.” Data Science is core to business today.  Whether its:

  1. Trends in Automation and Data Science;
  2. How to apply data insights to develop new products and services;
  3. Predictive Analytics of product demands to optimize the supply chain; and/or
  4. Risk analysis to predict failures for energy plants.

Data Science and Machine Learning is one of the most important technologies for any enterprise to innovate its business.  Approximately 96% of organizations run into problems with their AI/ML projects.  Why is machine learning hard and what makes it fail?

Four Pillars of Data Science Automation:

  1. Accelerate
  2. Democratize
  3. Augment
  4. Operationalize

(Recording Duration: 17 mins)

 

 

"dotData offers most of the functionality of better-known vendors, and it frequently surpasses them in valuable enterprise use cases involving time- series, geospatial, and transactional data."

The Forrester New Wave™: Automation-Focused Machine Learning Solutions, Q2 2019
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