Applications with predictive analytics are able to deliver massive value to end users. But what steps should product managers take to add predictive analytics to their applications?

In this webinar, we’ll walk through an end-to-end lifecycle of embedding predictive analytics inside an application. Find out how a real-world application decided what predictive questions to ask, sourced the right data, organized resources, built models, deployed predictive analytics in production, and monitored model performance over time.

You’ll learn:

  • The most common use cases for predictive analytics, such as increasing sales and reducing customer churn
  • Top 3 challenges you’ll encounter when creating your predictive model
  • How to source data from multiple systems and overcome common data challenges

December 13, 2018 12:30 PM PST, 3:30 PM EST, 8:30 PM BST

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