On-Demand Webinar with Founder and CEO / Dr. Ryohei Fujimaki.  Answer the question: “Can Automation Save Your Data Science Project?”

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)

Learn more about dotData, and discover why Forrester said that “dotData is AutoML’s best kept secret,” and should make enterprise shortlists for comprehensive AutoML solutions – download your free copy today.