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Accelerating Speed to Value through Agentic Systems and Intelligent Automation in Life Sciences

Life sciences enterprises face a widening gap between accelerating R&D and manufacturing and lagging infrastructure. Massive data volumes, high failure rates of digitalization initiatives (70%), and slow technology adoption plague the industry. This article explores solutions: workload-driven infrastructure placement, object storage as an AI-ready data layer, and adaptive architectures. Insights from Robert Wenier, Global Head of Cloud and Infrastructure at AstraZeneca, highlight the need to align AI, agentic systems, and infrastructure across cloud and edge environments.

SourceEmerj AI ResearchAuthor: Marilie Fouche
Accelerating Speed to Value through Agentic Systems and Intelligent Automation in Life Sciences
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Key points

  • Workload-driven infrastructure placement: synchronous tasks at the edge, asynchronous in the cloud to optimize performance and cost.
  • Object storage serves as the foundational data layer for generative AI, enabling handling of unstructured, high-volume data without rigid schemas.
  • Adaptive architectures are essential for large enterprises to absorb rapid AI capability shifts without years of rework.
  • Designing for adaptability rather than stability alone positions organizations to capitalize on new automation waves.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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