The ability to reproduce and automate science fuels innovation in life sciences R&D, enabling researchers to apply higher-quality data science and answer more challenging scientific questions.
However, achieving these goals at scale can be fraught with pitfalls and roadblocks. Instrumentation and cloud systems speak different languages, resulting in massive amounts of time is wasted wrangling data and waiting for experiments to complete, and data is routinely incomplete or inaccurate, slowing any sort of discovery. At its core, this is a complex data integration problem.
What do life sciences organizations stand to gain by solving this problem? They can benefit from:
How can your organization solve this problem? The possibilities are endless when scientific research leans on the power of a “Dynamic Duo” in R&D: turn-key integrations that incorporate the state-of-the-art in data engineering, life sciences, and data science disciplines, and an Intermediate Data Schema (IDS) that harmonizes disparate data and enables advanced data science applications.
Join us for a webinar, where you will learn:
For more information and to register for the webinar, visit the Xtalks Webinar page.