PUBLISHER: IDC | PRODUCT CODE: 1586336
PUBLISHER: IDC | PRODUCT CODE: 1586336
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
