The amount of data created by pharmaceutical companies has increased exponentially over the last few decades. Managing these enormous volumes of data can be challenging, an issue compounded by a lack of standardisation. Data is often gathered from numerous sources and devices and stored separately, making it difficult to retrieve, query, share and analyse. 

This September, our PharmaTec series discussion group focused on cutting edge data analytics. Some of the key topics our experts covered included whether analytics should start with the data or a use case first, different analytical platforms and the application of AI/ML technologies.  

How can pharma companies harness the power of data using innovative technologies?

Panellists include | Mike Berke, Director, Research & Automation Technologies, Amgen Mario Richter, Director, AbbVie | Dr. Célia Gasselin, Marketing Communication Manager, LabTwin

Workshop Speakers Include: Lena Granovsky, Senior Director, Head of Analytics & Big Data, Teva | Ajay Shah, Executive Director and Head of IT for Translational Medicine, Bristol-Myers Squibb | Edwin Trautman, Vice President, Science, Clinical Analyticsand Informatics, Pfizer | Victoria Gamerman, Head of US Health Informatics & Analytics, Boehringer Ingelheim | Dunja Petrovic, Scientific Data Analyst, MSD

Hosted by Vladimir Anisimov, Principal Data Scientist, Data Science, Center for Design & Analysis, Amgen

Andrew Garrood, Global Service Delivery Manager End User Computing Client Devices, Novartis

Lili Peng, Scientific Ecosystem Analytics Lead, Biogen

Erik Bierwagen, Principal Bioinformatics Software Engineer, Genentech, A Member Of The Roche Group

Evert Geurtsen, Co-director (User Engagement), Quantum Computing and Simulation Hub and University of Oxford