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How much value hides in the data pharma companies already collect — but rarely use? How can behavioural insights, AI and machine learning turn that data into smarter decisions and faster innovation? These questions take centre stage at the Pharmaceutical Automation and Digitalisation Congress (AUTOMA+) 2025 in the session dedicated to pharma intelligence. The Congress takes place on November 24-25 in Vösendorf, Austria.
Bringing together leaders from across the sector, the session showcases data integrity transforming the way pharma operates — from R&D to manufacturing and supply chains.
Anton Neuber (CEO, handshake GesmbH as a Session Sponsor), opens the discussion with a look at the role of robust data collection and integrity systems as the foundation of digital transformation.
Jochen Baumeister (head of behavioural science & data science, Sandoz) explores behavioural barriers, such as treatment perceptions and communication gaps that often impede innovation. His speech offers practical tools for blending behavioural design with technology to unlock progress across R&D and commercial functions.
From Octapharma, Luuk Seelen and Christophe Chabbert present their vision of machine learning systems that make production smarter, converting sensor data into insights that optimise performance and quality.
Representing Takeda, Aliz Cser and Mark O’Connor demonstrate the impact of unified big data models in enabling faster, more confident decision-making within global inventory management.
Finally, Sherif El Hennawy (Mithryl) dives into how generative AI brings clarity to data chaos, turning information overload into deep, actionable context for pharma manufacturing.
Pharma intelligence at AUTOMA+ 2025 challenges assumptions, connects disciplines and reveals where the most effective data strategies emerge — at the intersection of technology and human insight.
"Join the session at AUTOMA+ 2025 to know the future of pharma:
https://sh.bgs.group/3cx "
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