Digitalisation & Artificial Intelligence

Objectives

Reasons to attend this conference:

  • You will get an overview of current digitalisation and artificial intelligence in the pharmaceutical industry.
  • You will learn how efficiency and quality can be improved through the implementation of digitalisation.
  • In various case studies of pharmaceutical companies, projects from practice are presented.

Registration

Register as a congress delegate for just 690 EUR/day!
This special offer is only valid until 31 December 2024!

Background

New forms of digitalisation are finding their way more and more into the pharmaceutical industry. If the automation stage is already well advanced, topics such as AI, IOT and Industry 4.0 are waiting in the wings. Artificial Intelligence has arrived in the general public since Chat GPT and Bard but has also found its way into the pharmaceutical industry.

Therefore, the track will also be dedicated to Artificial Intelligence and present and discuss initial experience from established projects. The focus will be on GxP-relevant aspects from the perspective of the pharmaceutical industry and the regulatory authorities.

Target Audience

The event is directed at specialists from the pharmaceutical industry as well as at engineers and planners who have to deal with digitalisation and AI projects.

It particularly addresses the departments:

  • IT
  • Production
  • Quality assurance
  • Engineering / Technology

Detailed Programme

Digitalisation and AI from the Inspector’s Point of View
Dr Arno Terhechte, Bezirksregierung Münster

Accelerate Automation Project Implementation and Reduce Risk with a Digital Twin
Rasmus Wendelboe Jørgensen, Novo Nordisk
Vicky Athanasiou, Emerson

Case Study: Design & Implementation of a new highlyautomated modular OSD Production Facility at Bayer Leverkusen
Andreas Bail, Bayer
Anton Kopitzsch, Glatt Ingenieurtechnik

Integrating Digitalisation & Robotics in Pharmaceutical Manufacturing: Strategies, Challenges, and Compliance in the Digital Era
Maja Karovic, F. Hoffmann-La Roche
Yvonne Duckworth, CRB

Smart Panel – The Future of the pharmaceutical Production Process
Christoph Dechow, Boehringer Ingelheim Pharma
Dr Sebastian Wibbeling, Fraunhofer-Institut for Material Flow and Logistics IML

AI in Medical Image Processing
Daniel Wolf, Ulm University Medical Center

Continued Process Verification Using Automated Data Assessment
Dr Philip Hörsch, Vetter Pharma-Fertigung

Application of dynamic Learning Systems to increase Efficiency Increase in Pharma Production Lines
Felix Georg Müller, plus10 GmbH
Martin Heitmann, d-fine GmbH

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