IDC PeerScape: Critical Insights for the Implementation of Generative AI in the Life Sciences Industry
This IDC PeerScape provides life sciences executives with critical insights related to the challenges faced in implementing generative AI (GenAI) and outlines best practices to guide life sciences companies to drive the successful implementation of life sciences initiatives. “The life sciences industry is on the move. It is in a hurry to move beyond the POC stage to driving the enterprisewide implementation of use cases demonstrating sustainable business value. ROI is top of mind. But as we are an industry that deals with patient’s lives, ethics and responsible AI frameworks need to be core to the GenAI strategy. Agents are being used to rapidly scale productivity and to humanize the AI experience. Scaling productivity comes first, rapidly followed by disruptive innovation. The life sciences industry is adopting and transforming as we speak. And it is looking to its technology partners to not only provide technology but also guide strategy,” says Dr. Nimita Limaye, research VP, Life Sciences R&D Strategy and Technology at IDC.
IDC PeerScape Figure
Executive Summary
Peer Insights
Practice 1: Evaluate Whether Your Business Case Is Mission Critical and Enterprise Ready
Challenge
Example
Guidance
Practice 2: Get the Foundations of Data Sufficiency and Privacy Correct Before Embarking on the Large-Scale Implementation of GenAI
Challenge
Example
Guidance
Practice 3: Establish AI Governance Before Asking People to Embrace the AI Story; Address Risk, Use Case Prioritization, Upskilling, and Change Management; Rationalization Is Key
Challenge
Example
Guidance
Practice 4: Guide End Users to Use Customized AI Solutions Over Generic AI Solutions for Specific Business Purposes
Challenge
Example
Guidance
Research Assistance
Download our eBook: How to Succeed Using Market Research
Learn how to effectively navigate the market research process to help guide your organization on the journey to success.
Download eBook