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How to Design Your Analytic Development Life Cycle

 

 

 

In This White Paper

 

According to Gartner Research, by 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.

In this educational white paper "How to Design Your Analytic Development Lifecycle", the second installment of our “Lab to Factory” series, is focused on building Machine Learning capabilities across the enterprise.  Rehgan and Garrett will help us understand:

  • Trends driving the adoption of machine learning in today’s market
  • How to define the Analytic Development Life Cycle
  • Common challenges migrating a model downstream to user acceptance testing
  • Best Practices for a User Acceptance Testing transition checklist

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