3 Easy Steps to Start Predicting Food Risks in Your Supply Chain:
1. Watch this webinar to learn how to enable your Food Safety Team to predict food risks and take more informed preventive measures to avoid product recalls, with FOODAKAI.
2. If you like what you see, set up an intro call with our team to walk through the FOODAKAI features most relevant to your needs and get your questions answered.
3. We’ll prepare a proposal for your team, with a full recommendation on the subscription plan that best meets your food risk prevention requirements.
Set automated alerts to get all relevant to you food safety data, curated & analyzed.
Design a dynamic, time effective & constantly updated risk calculation for your ingredients & suppliers.
Learn how you can design your tailor-made risk prediction model and identify the next major food safety incident in your supply chain.
Facilitator
Neil Marshall
Managing Director at Guv Consulting International LLC
An experienced and commercially aware operations and technical leader with experience from multiple industries. Neil has been in the FMCG food industry in Europe and USA for 30 years. At the end of 2020, Neil retired from his role as Global Director Quality & Food Safety, at The Coca-Cola Company after 21 years.
Speaker
Kelsey Robson
Research Project Manager at ABP Food Group
Kelsey Robson is a research project manager at ABP Food Group. She completed her PhD in agriculture, food and land-use from Queens University Belfast and her M.Sc. in food safety and risk analysis from University College Dublin. Her research focuses on food fraud prevention and cutting-edge technologies for fraud detection for the beef industry.
Speaker
Mihalis Papakonstantinou
Data Services Leader at Agroknow
Mihalis Papakonstantinou is a Data Engineer and Team Leader at Agroknow. He has been involved with FOODAKAI since day#1, implementing its data platform that currently contains more than 500M food safety related data points. Over the past years, he has worked on providing data-powered solutions to sectors varying from academic institutes and media to financial institutions.
This work is funded with the support by European Commission, and more specifically the project CYBELE “FOSTERING PRECISION AGRICULTURE AND LIVESTOCK FARMING THROUGH SECURE ACCESS TO LARGE-SCALE HPC-ENABLED VIRTUAL INDUSTRIAL EXPERIMENTATION ENVIRONMENT EMPOWERING SCALABLE BIG DATA ANALYTICS” (Grant No. 825355) (https://www.cybele-project.eu