In today's competitive business environment, customer engagement is a top priority for organizations looking to retain and grow their customer base. In this session, we will showcase how we used Databricks, a powerful machine learning platform, to build and deploy distributed deep learning machine learning models using Apache Spark™ and Horovod for best-in-class customer engagement. We will discuss the challenges we faced and the solutions we implemented, including data preparation, model training, and model deployment. We will also share the results of our efforts, including increased customer retention and improved customer satisfaction. Attendees will walk away with practical tips and best practices for using Databricks to drive customer engagement in for their own organizations. In this session we will:

• ]Explore Morgan Stanley’s approach to best-in-class customer engagement
• Discuss how data and technology was leveraged to help solve the business problem
• Share our experience using Databricks to build and deploy machine learning models for customer engagement
• Provide practical tips and best practices for using Databricks in a production environment

Talk by: Raja Lanka and Ryan Kennedy

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