Why Do 85% of Data Science Projects Fail?

Large enterprises are pursuing more data science projects than ever before, but are not necessarily showing great success.  In this webinar, dotData’s Aaron Cheng, PhD, Vice President of Data Science and Solutions shares why:

  • Most data science projects actually fail
  • The mix of process and technology challenges that cause failure
  • How to get more of your company’s data science projects successfully into production

(Recording Duration: 20 minutes)

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 here.

"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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