Are you a food industry professional with an interest in harnessing the power of AI in your business? Or are you a data scientist/AI expert looking to apply your expertise in the food sector?
The UK Food Safety Research Network and the AI in the Biosciences (AIBIO-UK) Network are hosting a case study workshop titled ‘How can the food industry use AI?’. This workshop will bring experts from the AI and Machine Learning fields, together with food industry to explore challenges, opportunities and application of AI to support the food sector. This will be a one-day, in-person event in Norwich at the Quadram Institute.
AIBIO-UK and FSRN brings together a full day cross-disciplinary case study workshop for professionals from
food industry and AI expertise to:
• Explore the latest applications of AI in the food industry through real-world case studies
• Network and collaborate with leading experts from both AI and food industries
• Gain insights into the challenges and opportunities of using AI in the food supply chain
• Develop strategies for implementing AI solutions in your own organisation
Registration deadline extended to Monday 1 July. As places are limited and we aim for a mix of representatives from AI research and the food sector, we will send out confirmation of places in the last week of June, once registration has closed.
If you have any questions please contact Network and Partnerships Manager Dr Melissa Antoniou-Kourounioti
9:00 to 9:30 – Registration, tea and coffee
9:30 to 9:45 – Welcome and introductions (Matt Gilmour and Andy French)
9:45 to 10:00 – Introduction to applications of AI
10:00 to 10:45 – Illustrative case study (Nicolas Watson, Professor of AI in Food, University of Leeds)
10:45 to 11:00 – Coffee break
11:00 to 12:30 – Interactive case study (Annita Chalka, Roslin Institute and PATH-SAFE)
12:30 to 13:15 – Networking lunch with poster session
14:00 to 15:00 – Breakout session exploratory/pilot case study (Melissa Antoniou-Kourounioti)
15:00 to 15:15 Reconvene
15:15 to 16:15 Continue breakout session (Melissa Antoniou-Kourounioti)
16:15 to 16:30 Closing remarks
