Navigating Complexities

The Data Paradox in Life Sciences: Why Digital Complexity is Crippling Innovation

Author: Cedric Berger, Knowledge Management Lead
Category: Innovation & Technology
Format: Whitepaper
Estimated read time: ~15 min

Basel, Switzerland – July 16, 2025

Life Sciences is racing toward an AI-driven future—but many organisations are still stuck in the past. Despite billions poured into platforms, tools, and transformation programs, most enterprises remain paralysed by fragmented systems, legacy thinking, and siloed operations. The result? Data chaos, spiralling costs, and stalled innovation.

Cedric Berger, expert in Clinical Operations, exposes the critical disconnect: Without a truly data-centric foundation, AI won’t save you. In this whitepaper, he explores:

  • Why digital complexity—not lack of tools—is the real threat
  • How unmanaged data silos sabotage speed and compliance
  • What it really takes to build AI-ready knowledge systems
  • Why companies that don’t act now risk becoming obsolete

It’s not just about transformation—it’s survival.

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