Data-Driven Innovation in Life Sciences
Bringing new treatments to market is a risky endeavor marked by high costs and even higher failure rates. For drugs that successfully make it to market, it can be equally challenging to get the right treatment to the right patient at the right time. The use of AI and machine learning can enable organizations to achieve the promise of drug design that is more patient-centric.
In this eBook, you will learn:
- How leading biotech, med device and pharmaceutical organizations like Biogen and AstraZeneca are leveraging data, analytics and AI
- How to build popular data and AI use cases for life sciences organizations
- How to build a modern lakehouse architecture for all your data, analytics and AI