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 MunkCourse leaderDirector Global Alliance Management
Fujifilm Diosynth Biotechnologies - Timothy P. JenkinsCourse leaderHead of Data Science DTU Bioengineering & Asst. Professor
DTU - Danmark Tekniske Universitet - Per BækgaardLecturerLektor, Institut for Matematik og Computer Science
DTU Compute - Georg Ørnskov RønschLecturerPh.D. Data Scientist
Lego System A/S - Christian D. JensenLecturerLektor
DTU Compute - Mark Bo JensenLecturerPh.d. studerende
DTU Compute - Ib AlstrupLecturerIT Medicines Inspector
Lægemiddelstyrelsen - Gitte Bjørg WindfeldtLecturerHead of Data Science
Novo Nordisk A/S - Rasmus SteinicheLecturerCEO
Neurospace - Mia KnudsenLecturerHead of Business Intelligence
Fujifilm Diosynth Biotechnologies - Heino RadmerLecturerSenior Project Manager
Novo Nordisk A/S - Lars PetersenLecturerPresident & Chief Executive Officer
Fujifilm Diosynth Biotechnologies - Paul PopLecturerProfessor
DTU Compute
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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
- Overview and insight into technological and digital opportunities, concrete tools, trends, and competencies.
- A digital mindset and enhanced digital understanding with a view to navigating a GMP environment.
- The ability to spot concrete opportunities enabled by digital transformation in your own work area.
- Digital tools and competences to become a change agent in your organisation in relation to implementation of digital technologies.
What your company will get
- An employee with greater knowledge of digital technologies and management of production data in a GMP environment.
- An employee with a sharpened mindset for change and knowledge of the potential of digital development (industry 4.0).
- An employee with new tools for handling digital solutions and practical use of data.
Course calendar
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
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
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
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
Registration
Registration deadline23 Oct 2023
Lersø Parkallé 101
2100 København Ø
Course leaders
Fujifilm Diosynth Biotechnologies
DTU - Danmark Tekniske Universitet
Lecturers
DTU Compute
Lego System A/S
DTU Compute
DTU Compute
Lægemiddelstyrelsen
Novo Nordisk A/S
Neurospace
Fujifilm Diosynth Biotechnologies
Novo Nordisk A/S
Fujifilm Diosynth Biotechnologies
DTU Compute
Want to know more, or need help?
Contact Client Manager Louise V. Petersen at +45 40 44 99 43