Published: 10 January 2024
Summary
Life science organizations are embracing advanced technologies, including AI, automation and digitization, to drive greater efficiency, productivity and sustainability across the entire value chain. CIOs can use these predictions to prepare for how these advances will shape the industry.
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Overview
Key Findings
The life science industry is experiencing a surge in AI-powered drug development, which is further accelerated by the generative AI (GenAI) boom and increasing availability of AI-native vendors.
Machine learning algorithms are ever increasing in complexity, and outputs are still difficult to explain, which hinders trust and operational agility — especially in GxP-regulated areas.
Life science organizations are embracing virtual assistants (VAs) to address the need for efficiency in a competitive market and the evolving dynamics of remote work, which is reshaping sales representative interactions and workflows.
The focus on decarbonization efforts at life science organizations is broadening to more
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