Once the foundation is in place, the next challenge is choosing AI projects that deliver real operational value—and scaling them beyond a single site or team. In Part 2, we’ll focus on chemical manufacturing use cases and a practical “pilot-to-scale” playbook. We’ll walk through how to identify and prioritize the highest-impact opportunities (maintenance, quality, process performance, and R&D knowledge), define measurable success metrics, and design a pilot that can be validated, adopted, and expanded. Attendees will receive a pilot charter template and a use-case prioritization matrix to accelerate execution immediately after the session.
Speaker
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.