The Buzz Words – IoT & Digitalisation

8:00 am Coffee & Registration

8:50 am Chair’s Opening Remarks

9:00 am Using IoT to Control the Drug Manufacturing Environment


  • Why IoT can enhance optimisation and process efficiency in the manufacturing environment
  • Solving data interpretation and access issues by connecting network, equipment and systems
  • Real-time visibility throughout the manufacturing process

9:30 am Legacy Assets/Systems and Migrating to the Cloud


  • Don’t lift and shift
  • Overcoming issues when moving to the cloud
  • Reskilling and upskilling for the cloud environment

10:00 am Quick Fire Debate: IoT and Digitalisation Solutions for the Lab and Manufacturing Environment


  • Current pain points and how IoT and digitalisation can help
  • End to end visibility throughout the facility
  • How to bridge the gap between the lab and manufacturing environments using technology

10:45 am Morning Refreshments & Networking

Asset Maintenance & Data Utilisation

11:15 am Predictive Maintenance and Risk Management to Avoid Unnecessary Asset Downtime

  • Itsik Nekave Engineering & Maintenance Manager , Omrix Bio


  • Leveraging data to predict and eliminate asset failures
  • IoT, big data analytics, cloud technology and AI for easier fault detection
  • More benefits than just controlling repair cost

11:45 am Catalent’s Reliability Programme Journey


  • How the programme is being set up and early lessons learned
  • Benefits of setting up the programme – reliability value generation
  • Looking to the future – goals and targets

12:15 pm The Maintenance Challenge of Critical Assets

  • Pascal Hendry Global Category Manager – Lab Equipment & Maintenance , Roche


  • How should you decide on in-house or OEM provider?
  • OEM agreements for more complex assets
  • Reducing unnecessary down time

12:45 pm Lunch & Networking

Interactive Deep Dive

1:45 pm Predictive Maintenance at the Heart of a Successful Asset Management Programme


As pharma and biotechs continue to work towards 24/7 R&D and production environment, and with the rise of more complex equipment, predictive maintenance is of paramount importance to minimise unexpected downtime and ensuring equipment availability.

Tobias is a seasoned expert in pharma manufacturing 4.0 and has worked with major
pharma and biotech on implementing a fit-for-purpose predictive maintenance

This interactive session will help you:
• Define a fit-for-purpose predictive maintenance programme step-by-step
• Classify your equipment to identify critical assets and spare parts management
Tailor your service agreements with your OEMs and maintenance teams for
routine inspections and services
• Decide on self-manage or outsourcing with definitive KPIs, such as response time
and metrics

Afternoon refreshments will be served halfway during this session

4:45 pm Chair’s Closing Remarks

5:00 pm End of Summit