Building the Ideal Data Management Environment
to Fuel Life Sciences

Preparing to Move Forward with an AI Infrastructure

AI has tremendous potential for revolutionizing life sciences. Drawing on large data volumes, life sciences organizations can build AI models, refine algorithms, and run simulations that help them rapidly answer important scientific questions while enhancing research efficiency.

To realize the potential of AI, three critical data storage and data management questions must be addressed:

  1. Where should you keep all the data required for AI?
  2. How should you organize data so that your teams have fast access to some of it while retaining other data in more economical, but highly reliable, environments?
  3. How can you simplify data management, since those working with data are likely not IT professionals?
 

This eBook answers these questions and outlines steps to build the ideal data management infrastructure for discovery and innovation in life sciences.