Driving Digitalisation in Pharma Production

Learn to use data and digital tools in Pharma Production

30 Oct, 31 Oct, 13 Nov and 14 Nov 2023

On location

English

22,500 DKK ex VAT

(app. 3,025 EUR ex VAT)

Summary

At this four day course, you get the opportunity to become a digital pioneer in your organisation. You will deepen your understanding of how digital tools and data can be applied to optimise pharma production.

We have teamed up with the DTU Compute (Technology University of Denmark) to put together four days packed with information, workshops, and industry cases on e.g. AI, Machine Learning, Industry 4.0, IoT, and UX.

You’ll get insights into the latest research combined with practical experience of implementation in a GMP-regulated environment. The course also covers security aspects of the technological possibilities.

Throughout the course you’ll experience a practical focus on how to use digital tools and processes to increase quality and make production more efficient and greener.

Importantly, the course is also an opportunity for you to network with other digital professionals. 


You will also sharpen your competences in relation to:

  • How to get started on the digital journey.

  • Spot the potentials for active use of digital tools and production data to optimise production.

  • Having a common language across disciplines in relation to digital transformation and active use of production data.

  • Knowing requirements from authorities.


The teaching language of the course is English, but it is possible to pose your questions in Danish. It is also possible to get input regarding specific opportunities and challenges in your company.


Keywords

  • AI
  • Machine learning
  • Data Management
  • Data Analytics
  • GMP

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Course leader & lecturers

  • Morten Munk
    Course leader
    Director Global Alliance Management
    Fujifilm Diosynth Biotechnologies
  • Timothy P. Jenkins
    Course leader
    Head of Data Science DTU Bioengineering & Asst. Professor
    DTU - Danmark Tekniske Universitet
  • Per Bækgaard
    Lecturer
    Lektor, Institut for Matematik og Computer Science
    DTU Compute
  • Georg Ørnskov Rønsch
    Lecturer
    Ph.D. Data Scientist
    Lego System A/S
  • Christian D. Jensen
    Lecturer
    Lektor
    DTU Compute
  • Mark Bo Jensen
    Lecturer
    Ph.d. studerende
    DTU Compute
  • Ib Alstrup
    Lecturer
    IT Medicines Inspector
    Lægemiddelstyrelsen
  • Gitte Bjørg Windfeldt
    Lecturer
    Head of Data Science
    Novo Nordisk A/S
  • Rasmus Steiniche
    Lecturer
    CEO
    Neurospace
  • Mia Knudsen
    Lecturer
    Head of Business Intelligence
    Fujifilm Diosynth Biotechnologies
  • Heino Radmer
    Lecturer
    Senior Project Manager
    Novo Nordisk A/S
  • Lars Petersen
    Lecturer
    President & Chief Executive Officer
    Fujifilm Diosynth Biotechnologies
  • Paul Pop
    Lecturer
    Professor
    DTU Compute
See all

Watch the video

Is this course for you?

The course is for you who work with pharmaceutical production and have some experience with or knowledge of digital implementation in a GMP regulated environment. Your background can be e.g. engineering, QC, QA, HR, or pharmacist.

What you will learn

  1. Overview and insight into technological and digital opportunities, concrete tools, trends, and competencies.
  2. A digital mindset and enhanced digital understanding with a view to navigating a GMP environment.
  3. The ability to spot concrete opportunities enabled by digital transformation in your own work area.
  4. Digital tools and competences to become a change agent in your organisation in relation to implementation of digital technologies.

What your company will get

  1. An employee with greater knowledge of digital technologies and management of production data in a GMP environment.
  2. An employee with a sharpened mindset for change and knowledge of the potential of digital development (industry 4.0).
  3. An employee with new tools for handling digital solutions and practical use of data.

Course calendar

Starting 30 Oct 2023
30 Oct 2023 9:00-16:45

Day 1: Artificial Intelligence

  • AI and the technologies importance for production.
  • The authorities perspectives on the importance of AI Technologies for the GMP environment
  • Machine Learning
31 Oct 2023 9:00-16:45

Day 2: Data and data analysis

  • Industry (I 4.0) and data understanding (Why and what - Data science projects and processes)​
  • Effective use of different data sources to solve problems in production
  • Data analytics - methods and tools
13 Nov 2023 9:00-16:45

Day 3: IoT and XR

  • Operational Performance Support through digitalization, Fuji Film​
  • Internet of things - the technological possibilities and limitations
  • Xtended Reality - In the field between available hardware and solving difficult technical problems
14 Nov 2023 9:00-16:45

Day 4: Design thinking and user experience

  • User Interfaces – A UX approach to better technologies
  • Operational Performance Support through Augmented Instructions​
  • Cyber Security Awarenes – challenges and handling
Practical information

Registration

Registration deadline
23 Oct 2023
Atrium
Lersø Parkallé 101
2100 København Ø
Register
30 Oct - 14 Nov
Sometimes things change. This is the expected programme.

Course leaders

Morten Munk
Director Global Alliance Management
Fujifilm Diosynth Biotechnologies
Timothy P. Jenkins
Head of Data Science DTU Bioengineering & Asst. Professor
DTU - Danmark Tekniske Universitet

Lecturers

Per Bækgaard
Lektor, Institut for Matematik og Computer Science
DTU Compute
Georg Ørnskov Rønsch
Ph.D. Data Scientist
Lego System A/S
Christian D. Jensen
Lektor
DTU Compute
Mark Bo Jensen
Ph.d. studerende
DTU Compute
Ib Alstrup
IT Medicines Inspector
Lægemiddelstyrelsen
Gitte Bjørg Windfeldt
Head of Data Science
Novo Nordisk A/S
Rasmus Steiniche
CEO
Neurospace
Mia Knudsen
Head of Business Intelligence
Fujifilm Diosynth Biotechnologies
Heino Radmer
Senior Project Manager
Novo Nordisk A/S
Lars Petersen
President & Chief Executive Officer
Fujifilm Diosynth Biotechnologies
Paul Pop
Professor
DTU Compute

Want to know more, or need help?

Contact Client Manager Louise V. Petersen at +45 40 44 99 43

 
Send me an email