Incorporating Predictive Analytics
in Supplier Risk Monitoring & Assessment
Tuesday, October 10th, 2023
19:00 EEST | 12:00 EDT | 11:00 CDT | 09:00 PDT
This webinar is ideal for directors, heads, and managers of food safety, quality, and supplier compliance in global FMCG manufacturers, who are interested in exploring how AI-powered forecasting may support supplier selection, monitoring, and compliance activities.
In this panel session, Agroknow’s CEO Nikos Manouselis invites Denis Treacy (Former Chief Officer for Safety and Quality, Pladis Global) and Takiyah Ball (Food Safety Microbiologist, Sargento Foods Inc.) to reflect upon the value that AI & predictive analytics may add to such application scenarios:
• They will go through the most important food risk mitigation & prevention decisions that AI can enhance today.• It will be demonstrated how the leading food risk intelligence platform FOODAKAI is currently enhancing supplier risk monitoring, assessment & prevention.
• A conversation will follow about the ways in which reliable forecasting models may enhance supplier-related decisions on a strategic and tactical level.
• A reflection on what is still missing from such tools will close the session.
This panel session aims to cover the following questions:
• Can predictive analytics enhance the risk profile of suppliers by adding risk forecasting to historical performance data?
• To what extent is the forecasted risk for sourced ingredients affecting the risk profile of a supplier?
• How can we enhance supplier selection or re-evaluation by taking into consideration the risk profile of the geographies in which these companies are based?
• How can AI-powered forecasting be incorporated into supplier risk scoring and ranking models?
• Is there a way to incorporate such risk predictions into an internal or 3rd party software system for supplier management?
Plus, any other questions that will be posed by the audience in real time during the Q&A session.
OBJECTIVES:
AI & predictive analytics have been recently introduced as a digital technology that may help food safety teams rapidly mitigate and early prevent food risks before they escalate into a crisis. Up to now, application scenarios have been focused on enhancing incident and hazard risk forecasting. Still, many critical food safety management decisions are related to ingredients and raw materials sourced from 3rd party suppliers. Exploring how AI-powered forecasting may support supplier selection, monitoring and compliance activities therefore becomes of critical importance.
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SPEAKERS:
Takiyah Ball is the Food Safety Microbiologist at Sargento Foods Inc. She has been at Sargento for four years, and her primary duties are to provide risk assessments on ingredients brought into the company and leaving the company, monitor emerging risks related to their ingredients, and to build partnerships with academic institutes and industry for food safety related needs. Her previous career was in government and academia over the span of 19 years. She was an ORISE Fellow in the molecular genetics department at FDA-CFSAN-OARSA. Her doctoral dissertation was in collaboration with the WHO helping to set up Antimicrobial Resistance Surveillance Labs in developing countries, specifically in Uganda. Fifteen years of her career was managing the Salmonella and E. coli lab, a part of the National Antimicrobial Resistance Monitoring System (NARMS) at the USDA.
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Denis Treacy is well known throughout the Food Industry as an engaging, driven & decisive Executive Leader with 40+ years of FMCG industry experience, the first 10 years in scientific roles, the last 30 years at Management, Leadership, Executive Chief Officer & President Level. After early roles in Unilever, Arla Foods & InBev, Denis was until very recently, President & Chief Safety, Quality, Security & Environment Officer for the $5bn Global snack foods business Pladis Global. Denis also led the Health & Safety, Business Continuity and Crisis Management agendas for Pladis parent company, Yildiz Holdings. Denis has many areas of expertise, developed over a long career and now heads Culture Compass, helping organisations to deliver transformational performance improvements in strategic thinking, business culture, change management & organisational transformation.
Mihalis Papakonstantinou is the Head of the Data Services Team at Agroknow, the food safety intelligence company that predicts food risks to help companies prevent them. He has been involved with FOODAKAI since day#1, designing and implementing its data platform that currently contains more than 900M food safety related data points. Over the past years, he has supported numerous clients in the food and agriculture sector with their data aggregation challenges and he has worked on providing data-powered solutions to sectors varying from academic institutes and media to financial institutions.
Nikos Manouselis is founder and CEO of Agroknow, the food safety intelligence company that uses AI to predict food risks and inform prevention. He is an Electronics & Computer Engineer that holds two MSc degrees, as well as a PhD on Agricultural Information Management. With more than 15 years of expertise in the intersection of data and technology for food and agriculture, he is frequently working with industry, academia and international organizations on ways in which state-of-art technologies may be used to help solve critical challenges in the food supply chain.
