REGISTER FOR WEBINAR
FOR LIFE SCIENCES
Time: 9:00 AM U.S. Central Standard Time, 15:00 GMT
Life sciences companies, including pharmaceutical, biotechnology, medical device and diagnostics manufacturers, face massive R&D spending, complex value chains, the world’s tightest regulations, and intense competition. Quality, efficiency, and speed to market are critical to success.
Modern process automation helps by consolidating disparate manufacturing data into a single, quality-focused perspective. Next generation technology is transforming manufacturing operations with new visualization technology, advanced analytics, artificial intelligence, and IoT technologies. New capabilities offer:
- Improved process efficiency and yield
- Predictive quality insights
- Integrated, real-time visualization
- Effective troubleshooting
- Workflow efficiency
- Reduced validation effort
Dan Matlis, President of the analyst firm Axendia, will moderate as industry thought leaders Pep Gubau and Matthias Maaz will illustrate strategies to achieve intuitive process and operational intelligence, improving manufacturing operations in a GxP compliant manner with end-to-end data integrity.
Learn how to reduce compliance-related documentation and validation efforts by up to 70%, while increasing quality and efficiency, and bringing products to market faster.
Speaker
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Matthias Maaz
Global Business Director, Honeywell
Speaker Bio: Matthias Maaz is the global business Director for Pharmaceuticals and Specialty Chemicals at Honeywell Process Solutions. He started his career with Honeywell in 1990 and held various leadership positions inProject Management and Sales, as well as being a Managing Director at Honeywell in Germany. Matthias holds a Diplom-Engineer degree for Process Control Technology from the University of Applied Science, Leipzig. His office is in Offenbach, Germany.
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Pep Gubau
CEO, Bigfinite
Speaker Bio: Pep Gubau is CEO and CTO of Bigfinite and a tech entrepreneur for the last 30 years. In 2014, Pep co-founded Bigfinite with his lifelong professional career partners, Pere and Toni: a third iteration of their accumulated knowledge and expertise in the Pharma industry, using AI transforming capabilities. Pep is an economist with an engineering background and holds several international patents related to the encryption, transmission, storage and processing of data for regulated environments in the cloud. Pep lectures regularly in Master Programs and gives talks about the impact of Big Data, Machine Learning and Advanced Analytics to the Industry. Born in Barcelona and raised in Italy (Ivrea, TO), Pep now lives in in Tiburon, California, USA).
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Daniel R. Matlis
Founder and President of Axendia
Speaker Bio: Daniel R. Matlis is Founder and President of Axendia, an analyst firm providing trusted advice to Life-Science Executives on Business, Technology and Regulatory issues. Dan has almost three decades of industry experience spanning the Life-Science value chain. He has been an active member in FDA’s Case for Quality Initiative since 2014 and has presented Axendia’s research findings to industry executives and the FDA officials. Dan began his career at Johnson & Johnson, where he provided leadership in the areas of technology, regulatory compliance and business. Before founding Axendia, Dan was a Partner, VP and General Manager at a leading Life-Science consultancy firm. He is a frequent lecturer at Industry events and has published numerous research reports and articles on key issues facing the Life-Sciences and Healthcare industries. Dan holds a BS in Electrical Engineering from Polytechnic University (now NYU School of Engineering) in NY and a MS in Management from the New Jersey Institute of Technology.
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