Published: 15 January 2024
Life science CIOs are challenged to select use cases for emerging technologies, such as generative AI, that are both mature enough to implement and important to business goals. Use this research to orient and benchmark your priorities against peers’ investments in key disruptive technologies.
Synthetic research data sharing for federated learning, AI support for sales and AI for commercial operations automation are the most important technology use cases for life science organization (LSO) leader respondents among provided use cases.
Wearable devices for clinical trials are the most deployed (includes fully deployed and currently deploying) use case, followed by AI for drug discovery and early research.
While AI decision support for sales is highly important, leaders report it has lower deployment (48%) compared to its importance (68%).
Life science CIOs advancing healthcare and life science digital optimization and modernization should:
Supercharge R&D by prioritizing investments in
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