Gartner Research

How to Make Smarter Decisions About Artificial Intelligence in Life Science R&D

Published: 21 February 2017

ID: G00311360

Analyst(s): Michael Shanler , Alexander Linden

Summary

This research outlines five best practices that life science CIOs should take to improve artificial intelligence capabilities in R&D. Leading-edge AI projects in the industry illuminate the potential of AI to accelerate innovation and align with best practices.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Learn How AI-Related Terms Fit Together and What They Represent
  • Have the Anthropomorphism Discussion About AI When Describing the Potential of the Technology Versus the Often Unrealistic Expectations of Business Users
  • Remind Peers and Staff That "Cognitive" Is More Associated With Brands and Is Generally Not a Specific Technology
  • Outline How AI Technology Will Be Used to Increase Data Science and Advanced Analytics Capabilities
  • Use Existing Life Science Case Studies to Support Specific R&D Business Cases

Case Study

  • A Top-20 Pharmaceutical Company (Europe) R&D IT Director Addresses Unrealistic AI Expectations by Executives

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