Preparing for the data-driven future of pharma

When it comes to advancing technological innovation in healthcare, the tools are here. In fact, most pharmaceutical companies are already using them in some way - whether they are applying artificial intelligence, machine learning, big data processing, and cognitive computing to make advances in the research and development of drugs or to automate operational processes and workforces. But there’s a problem: The broader adoption of AI in health is still very low. One of the reasons for this is that many business leaders are insecure if they are doing any of it right.

In this report, we explore the current levels of data and AI maturity in pharma, our expectations for what comes next, and some recommendations for creating long term value. We focus specifically on the expected value from personalized precision medicine and how data and AI can enable scaled value. Now is a critical time for pharma companies to use AI, but first they must reimagine the potential of data - removing it from historical silos, using it instead to connect the dots, and participating in a collaborative ecosystem.

Register now to learn how pharma companies can unleash the power of precision medicine.

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