Many chemical manufacturers are eager to pilot AI—but struggle to move beyond experimentation because the foundations aren’t ready: data is fragmented, integration is incomplete, and governance/security concerns slow progress. This practical, vendor-neutral workshop will help you build the core prerequisites to adopt AI safely and effectively in chemical operations. We’ll cover data readiness (quality, context, and lineage), essential architecture considerations, and the controls needed to protect IP and manage access boundaries. We’ll also outline the people and governance model required to build trust—so AI results are explainable, auditable, and usable by the plant and business teams. You’ll leave with a simple readiness checklist and a clear set of next steps to confidently scope your first pilot.
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.