Insurers are entering a new era of claims transformation, supported by evolving technological advancement and growing data availability. In this live workshop, we’ll cover the best practices for insurance companies to transform, simplify and scale their claims lifecycle with data and AI. By leveraging the Databricks Lakehouse, organizations can deal with millions of data points coming in different formats, time frames and from different directions at an unprecedented volume. Every touchpoint in the claims journey, starting even before an incident occurs, will be supported by a mix of technology and human intervention that seamlessly expedites the process. 

We’ll discuss how to automate data ingestion from source enterprise applications through batch or streaming data pipelines to operationalize business insights. You’ll also learn how Fivetran ingestion tools and the Lakehouse for Financial Services can help with ML model registry, centralized data governance, workflow orchestration and job scheduling. And finally, you can learn how collaboration between multiple users using a single platform can help you with automated reporting, business analytics, interactive dashboards and reproducible data models.

Join this event to:

• Learn how to ingest data and process it using DLT and DBSQL on Databricks
• Leverage Databricks and Fivetran to automate data ingestion from source enterprise applications and operationalize business insights
• Learn how the Lakehouse for Financial Services can help with ML model registry, centralized data governance, workflow orchestration and job scheduling
• See an interactive demo with Fivetran solutions and connectors within the Databricks environment by looking at sample claims records, see how data sets are growing and how tools can track the various steps

Event Co-Sponsor: Fivetran (Fivetran Privacy Policy)