Enhancing Customer 360 Models with Automated Machine Learning

Logo
Presented by

Raju Penmatcha and Justin Dickersson

About this talk

Predicting customer behavior is quite challenging. However, knowledge of a customer at an individual level offers enormous benefits. A company with such knowledge can provide better customer experience and retention, targeted marketing, increase sales, and proactive care. But many existing customer models are very macro in nature and fail to deliver at an individual level. Machine Learning allows us to build such 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.
Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (26)
Subscribers (2544)
DataRobot powers the AI-driven enterprise, enabling users throughout the organization to make business decisions unmatched in simplicity, speed, and accuracy. Its revolutionary approach to automated machine learning harnesses hundreds of cutting-edge algorithms to discover and deploy the best predictive models for every situation and delivers accurate business predictions at scale.