2023 DIGITAL CMC SUMMIT / ON-DEMAND SESSION
Mastering Data Management with a Knowledge Management Mindset
Life science data gurus share how drug developers can break free from information siloes and unlock the power of their knowledge resources.
Session highlights & insights
Where and why many drug developers are still struggling with fragmented information ecosystems.
How drug developers can pivot from storing knowledge to leveraging it for operational impact.
How new data management models are being shaped by business needs, not technology tools.
The evolving journey toward industry data standads, and how new collaborations can shape it.
Session Speakers
Meet the group of transformation experts sharing their insights and expertise in this on-demand session.
SUMMARY
What's the secret to turning data into knowledge? We asked a panel of experts.
For today’s drug developers, long-standing data management challenges are quickly reaching crisis scale. Every new exabyte joins decades of accumulated, unstructured information, while hundreds of pilots and point solutions scratch the surface of the deeper issue: lack of clear alignment on what it means to effectively steward drug development knowledge.
So at this year’s Digital CMC Summit, we wanted to know: what can drug development’s digital leaders do to break the cycle, and transform the way their organizations harness data?
To answer that question, Life Sciences Luminary and Influencer Mike Stapleton led a rich, incisive discussion with a panel of experts from multiple industry-leading organizations – including AWS, Thermo Fisher Scientific, Flagship Pioneering, and QbDVision.
Together, this group of world-class digital innovators dived into:
- New bottom-up data governance and modeling approaches that can help drug developers align data strategies with business needs, with standards like ICH and QbD as a foundation.
- Where drug developers can shift from legacy information capture solutions to enabling intelligence with unified data frameworks.
- How biotech, pharma and regulators can work collaboratively toward data standards that bring down knowledge barriers and simplify compliance, while still protecting innovation.
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