ON DEMAND WEBINAR
Duration: 45 minutes​

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. 

SPEAKER

Venu Mallarapu
Vice President, Global Strategy and Operations
eClinical Solutions