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Accelerating Impact in Life Sciences
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Edition 1: Production Transformation and Data Ecosystems

Everyone today needs to be prepared for continual change. At the first edition of our Accelerating Impact in Life Sciences, you will learn about some of the opportunities hidden in the flood of changes you have been hearing about – and also enjoy a delicious breakfast and personal exchange.

In the first session of the day, “Manufacturing Transformation and Opportunities for Life Sciences”, we will provide you exciting examples of using digitalization to improve production. How can I address decarbonization and energy efficiency with digital twins? Where could I use ChatGPT or other similar AI technologies? How can I use video cameras to automate quality assurance of packaged medicines or medical devices? Covering use cases from Life Sciences companies and ready-for-adoption best practice from additional industries, our focus will be on ideas you can implement at scale today.

In the second session “Improving your data ecosystem perspective” we will change the point of view. To manage the corporate-wide implementation of technologies like Digital Twins, Smart Connected Products, and Digital Transformation, every department will need to have a better understanding about how data is being used between companies and organizations. This includes patient data (from hospitals or clinical trials), data from your supply chain, and even software updates of digital twins or medical device firmware. After this session, you’ll walk away with a better understanding how data exchange is influencing where digital platforms are headed, and how it could impact your digital decisions today.

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Date & Time:
April 19th, 2023
9:00 am – 11:15 am

Location:
Accenture Office Zurich
Fraumünsterstrasse 16
8001 Zurich

Agenda:
09:00 – Welcome Coffee

09:15 – Session 1
             Manufacturing Transformation
             and Opportunities for
             Life Sciences


09:40 – Break & Breakfast Talk


10:10 – Session 2

             Improving your data ecosystem
             perspective


10:45 – Exchange


11:15 – End


For questions, please contact:
Kathrina Baumann