Solution Study
Monday, September 23
09:15 AM - 09:45 AM
Live in Berlin
Less Details
In this presentation, we will introduce a major MES system upgrade project, emphasizing the critical need for rapid recipe design specifications across numerous processes and recipes. We will explore the challenges of delivering MES recipes within tight timelines and demonstrate how AI-driven solutions significantly accelerate the specification process. Join us to discover how leveraging AI can streamline recipe creation, ensuring timely and efficient MES system upgrades. In this session, you will learn:
• How to discover how AI and Mixed Reality interact using Microsofts low-code PowerPlatform in a regulated environment
• How to redesign the future business processes with AI and real-time holographic assistance
• How to learn how Mixed Reality is making an impact with NNITs key Life Sciences customers through existing use cases
Sam, Global AI lead at NNIT is a trusted advisor to NNITs Life Science customers and manages the global AI engineering team. With over 10 years with large scale digital programs in GxP enviroments he continues to push the boundaries of innovation with practical implementations.
Ayoub holds an engineering degree and a master’s in information systems for Production Systems from Claude Bernard University. His career has centred on process manufacturing and large-scale digital transformation projects, with a focus on Production IT Systems like Manufacturing Execution Systems (MES) and Plant Information Management. He specializes in deploying technology solutions for the Life Science industry.
Ayoub has led MES projects for pharmaceutical companies, integrating MES with automation systems and ERP to eliminate paper usage, enhance data acquisition, and improve process control within regulated environments.In 2022, Ayoub joined NNIT in the UK as a Principal Consultant, where he leads key MES projects, including the deployment of PAS-X MES solutions for bioprocessing, manufacturing, and packaging, optimizing operations across the value chain for Life Science customers.