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Digital Asset Management in Life Sciences

Executive Summary
Redefining the commercial model is undoubtedly a top-of-mind priority for life sciences leaders today, with many already expanding their investments in AI to meet the demand for modern healthcare systems and online engagements by customers. While there are a plethora of AI-powered use cases to leverage, it is crucial for life sciences organizations to prioritize those that drive immediate value and promise sustainable and scalable advantages in the long run. This article highlights those foundational AI capabilities that are fundamental to unlocking true commercial excellence in the life sciences space.
A centralized storage repository and easy retrieval
Increased asset re-use and re-purpose across brands and regions
Faster publishing and content distribution with tagged and modular digital content
This article positions why DAM matters in simplifying enterprise-wide digital assets, and creates cost savings and content efficiency gains across brand and functional teams.

Authors

Maruthi Prasad
Maruthi Prasad
Venkatesan Subramanian
Venkatesan Subramanian
Ravivrat Pandey
Ravivrat Pandey
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