error
Subscriptions are not available for this site while you are logged into your current account.
close
Skip to main content

      AI in life sciences is about more than just technology adoption. It’s about transforming the way life sciences organisations innovate, operate and create value. 

      From accelerating R&D, innovating across product portfolios, optimising clinical trials to streamlining supply chains, AI can invigorate across multiple facets of the industry.

      This global report from KPMG, Intelligent Life Sciences, identifies the attributes of high-performing organisations as well as the critical enablers of AI adoption, including data infrastructure, workforce readiness and governance.  

      It also defines AI-driven value creation in life sciences, focussing on the ways AI enhances R&D productivity and operations, while also addressing return on investment challenges.


      Download

      Intelligent life sciences

      A blueprint for creating value through AI-driven transformation (PDF, 1.7MB)

      Key report insights for Irish life sciences

      AI is a critical differentiator 86% believe that organizations in their industry that embrace AI will develop a competitive edge over those that do not.


      How KPMG professionals can help

      At KPMG Ireland, in conjunction with our global network, we have developed the necessary tools and expertise to support organisations to navigate the evolving AI landscape. Contact our team below for more on how you can embed AI in your life sciences organisation.

      Rory Timlin

      Partner, Technology Consulting

      KPMG in Ireland

      Alan Lavery

      Managing Director, Applied Intelligence, GenAI Lead

      KPMG in Ireland

      Brian Egan

      Partner, Head of Transaction Services

      KPMG in Ireland


      Discover more in Life Sciences

      Something went wrong

      Oops!! Something went wrong, please try again


      Life Sciences

      From assessing major investment and innovation choices to pricing models and the tax impact of business decisions
      Medications