Operationalizing AI in Meat & Poultry
Online
Available On Demand
1 hour
Operationalizing AI in Meat & Poultry: Turn Existing Data into Real-Time Decisions
Most protein processors already have the data, including environmental monitoring results, production metrics, supplier information, but struggle to turn it into real-time decisions on the plant floor.
This session focuses on how to identify the data you already have, assess what's missing, and build a practical path toward AI that works on the plant floor. We’ll walk through what data actually matters, how to connect it across food safety, production, and supply chain systems, and how to structure it for practical use and not just reporting.
You’ll hear real-world use cases, including:
- Amalthea, a global provider of goat and cow cheese, uses Infor AI to improve cheese quality and yields, reducing waste and increasing profitability by €500K for every 1% yield increase.
- Eagle Foods, a leading producer of canned and evaporated milk and snack foods, uses Infor AI to improve demand forecast accuracy to optimize inventory.
We’ll also cover the fundamentals needed to scale AI responsibly, including data governance, system integration, and workforce adoption.
Speakers
Jared Helenic
Product Specialist, Tech & Innovation, Infor
Jared Helenic is a Technology and Innovation Product specialist for Infor’s Food and Beverage customers and prospects. The core areas he focuses on are Infor’s AI, Automation, Digital Business Platform, and Process Intelligence solutions. Before joining Infor, Jared worked within the MLOps and NoSQL DB startup ecosystem, helping CIOs and CTOs define and execute innovation projects. He has experience working within a wide range of industries, from K12 public education to Fortune 50 companies and everything in between.
Hassene Benammou
Science Director, Decision Analytics & Science, Infor
Hassene leads global teams developing machine learning, optimization, and analytics solutions across Infor’s product ecosystem. With over a decade of experience in data science, engineering, and retail technology, he has driven the design and delivery of advanced forecasting, planning, and decision-support systems for enterprise clients. Prior to his current role, Hassene managed Infor’s Decision Analytics & Science and Retail Strategy technical teams, building end-to-end AI applications and scalable cloud solutions. He holds dual engineering degrees from Centrale Lille and ENSI and is recognized for his leadership in applied AI, innovation, and technical strategy.