Machine Learning Lifecycle 2021 Conference
Cognilytica’s Machine Learning Lifecycle Virtual Conference is a three day online experience January 26-28, 2021 focused on the machine learning lifecycle including ML Operations, building models, and model management!
Machine Learning Lifecycle 2021 Conference
Presented by:

DataRobot is the leader in enterprise AI, delivering trusted AI technology and ROI enablement services to global enterprises. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models.

About this Session

Customer churn affects companies across industry, size, and geography. Retaining your existing customers is just as important (if not more so) than attracting and acquiring brand new customers. According to Harvard Business Review, the cost to acquire a new customer is anywhere from five to 25 times more expensive than retaining an existing one. Businesses today can use the power of AI to help determine which customers are more likely to churn, and what actions to take to keep them. Armed with this knowledge, retention efforts can be prioritized to focus on the most at risk customers.

In this webinar, Colin Priest, Data Scientist and Senior Director of Product Marketing at DataRobot will address specific use cases for applying AI to ensure customers remain loyal.

Attendees will learn:

  • How businesses can react and create effective customer churn strategies
  • How Automated Machine Learning predicts which customers are most likely to defect
  • How to use AI to optimize customer experience so that customers don't even consider defecting
  • How DataRobot can help you to determine which customers are valuable and worth keeping
Featured Presenters
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