ARTIFICIAL INTELLIGENCE, DATA & ANALYTICS
BESPOKE DATA VISUALISATIONS
CUSTOM SOFTWARE DEVELOPMENT
CLOUD & OPERATIONS
EMBEDDED & ENGINEERING
IOT, CLOUD, DELIVERY & ENABLEMENT
Experts from Holisticon Connect, Nexer Data Management and Stibo Systems came together to discuss why many AI projects in life sciences fail to scale – and how strong data foundations can change that.
The session explored what data governance and ownership mean in practice, why they matter for AI, and how pharma and biotech organisations can prepare for sustainable AI adoption.
Download the summary to explore the key insights and real-world examples shared during the discussion.
GenAI adoption in life sciences
How leaders approached AI adoption beyond the pilot phase and what held projects back.
Data foundations and governance
Why ownership, definitions and data quality proved critical for AI success.
From pilots to scale
Lessons from organisations bridging the gap between experimentation and real-world implementation.
Readiness for sustainable AI
What practical steps helped teams prepare data and culture for long-term adoption.
Chief Growth Officer, Holisticon Connect.
An expert in digital transformation and growth strategy. He supports life sciences organisations in leveraging technology to accelerate innovation and sustainable growth.
Director Global Alliances & Sales, Nexer Data Management
With strong experience in master data management and strategic partnerships, she helps organisations unlock the value of their data to improve collaboration, efficiency, and business outcomes.
Manufacturing Practice Lead, EMEA, Stibo Systems
Expert in Master Data Management. Supports Life Sciences leaders in transforming master data into a driver of compliance, operational excellence, and innovation readiness.
This webinar is designed for professionals in Pharma, and Biotech who are leading digital and AI adoption in their organisations. It will be most relevant for leaders, directors and heads of:
– Digital Transformation & Innovation
IT, Data & Analytics
– R&D and Clinical Operations
– Business Strategy & Operations
– Regulatory Affairs & Compliance (particularly in relation to governance and data quality).
Get the key insights, practical examples and expert perspectives on how data foundations shape successful AI adoption in life sciences.