Today’s clinical trials require innovative approaches to managing the complexity & volume of data collected across the development lifecycle. With the rise of DCTs & modern trial approaches like the use of Artificial Intelligence (AI) & Machine Learning (ML), new challenges exist that traditional clinical data warehouses & data lakes are not designed to support. A necessary evolution has occurred for a Data Lakehouse architecture that eliminates data silos and increases productivity, flexibility, and scalability to better support modern clinical trials.

This webinar will examine what is driving the need for a digital data fabric & the technology infrastructure required to support the future of clinical trial digitization. Additionally, eClinical Solutions shares the blueprint for a Unified Clinical Data Lakehouse and discusses how the elluminate® Clinical Data Cloud, built on this blueprint, delivers the Lakehouse promise resulting in faster time to value and decreased cycle times.

Key Takeaways:

• What is a Clinical Data Lakehouse and why is it so critical now?
• Benefits of a Data Lakehouse vs. data lake/data warehouse.
• How elluminate’s Lakehouse blueprint provides a scalable and unified architecture for seamless data flows and interoperability while facilitating the use of AI/ML in support of Data Sciences disciplines.
• Strategic focus areas for further enablement, including embedded AI capabilities, Statistical Computing Environment (SCE), data sciences workbench, and data sharing.