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Enhancing Customer 360 Models with Automated Machine Learning


Join DataRobot on Feb 15 to discover how Automated Machine Learning provides the ability to develop and refresh Customer 360 predictive models, the ability to deploy models with a click of a button, and more!



Logo DataRobot

Enhancing Customer 360
Models with Automated
Machine Learning

Webinar Details Register today
Thursday, February 15, 2018 Speakers: Justin Dickerson, GM of
1:00 pm ET / 10:00 am PT Global Finance, DataRobot; Raju Penmatcha
45 minutes with Q&A Customer-Facing Data Scientist, DataRobot

Predicting customer behavior is quite challenging. But knowledge of a customer at an individual level offers enormous benefits, and can help companies provide better customer experience and retention, targeted marketing, increase sales, and proactive care. However, many existing customer models are very macro in nature and fail to deliver at an individual level.
 
Machine Learning allows us to build micro-level models by taking into account all digital touch points of a customer with the company. These models will help predict what a customer is going to do next, what their near-future behavior will be and what response to anticipate from an action.
 
On this webinar, you'll hear the current state of machine learning in Customer 360 — and then learn how you can stay one step ahead in building highly customer-centric models for your business.   

You'll discover how Automated Machine Learning provides:

- The ability to develop and refresh Customer 360 predictive models at any time 
- The ability to deploy models with a click of a button 

- The ability to operationalize Customer 360 models by following a process that is user-centric

Speakers:
Justin Dickerson,
GM of Global Finance, DataRobot

Raju Penmatcha

Customer-Facing Data Scientist, DataRobot

Space is limited!

Register today
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