Natchanon Naruesatyan, Process Engineer, Thai Plastic and Chemicals Public Company Limited (TPC)

Gonjanart Koonsawaddikul, Process Engineer, Thai Plastic and Chemicals Public Company Limited (TPC)

In this breakout session, Thai Plastic and Chemicals PCL (TPC) shares its journey from manual, experience-based PVC production to an intelligent, AI-driven process. The presentation explores how TPC combines plant, laboratory, customer, and energy data with machine-learning soft sensors and optimization models to balance product quality, energy consumption, and operating cost across complex PVC manufacturing operations. The team demonstrates how real-time guidance, early-warning insights, and AI-supported knowledge management help operators make faster, more consistent decisions while reducing process variation, excessive drying, and energy use. By identifying the cost-optimal operating point within customer specifications, TPC achieved a 6% reduction in operating costs and built an in-house digital foundation designed to scale across additional plants in Thailand, Vietnam, and Indonesia—turning data into insight, insight into action, and action into business value.

Louis Lattanzio, Digital Innovation & Implementation Leader, Honeywell UOP

Discover how Honeywell UOP is scaling industrial analytics with Seeq, AI assistants, and Data Lab. In this breakout session, Honeywell explains how they combine decades of process expertise, connected plant data, advanced analytics, and generative AI to help technical service teams develop and deploy tools faster—without relying on traditional coding or lengthy handoffs. Through real-world examples, including catalyst health analysis, live unit monitoring, heat-map generation, data preparation, and Unisim integration, the session shows how AI is helping experts move offline tools online, identify potential process issues earlier, reduce time to value, and deliver better insights to customers. Learn how Honeywell is establishing scalable workflows, version control, guardrails, and collaborative development practices to empower its global service community and turn tribal knowledge into actionable operational intelligence.

Aaron Schmidt, Process Improvement Specialist, Cargill

Explore how Cargill uses Seeq’s Formula AI Assistant to simplify complex formula creation for chocolate manufacturing. Aaron Schmidt shares practical examples of tracking yield, pack rates, and ingredient consumption, while outlining a four-step approach to prompting, debugging, and refining formulas. The session highlights how Formula AI can accelerate analysis and troubleshooting while complementing human process knowledge.

International Paper shares how they used Seeq Intelligence to turn trusted process analytics into faster, more usable operational insights across mill workflows. The session centers on asset health monitoring and sheet-break investigations, where the team wanted to reduce data movement from Workbench into external tools, preserve context, and deliver views for engineers, mill teams, and leaders. Using Agent Q for exploration, Agent Builder for repeatable reporting, and Insight Boards for quick visibility, they built a more consistent decision workflow and discussed lessons around prompting, repeatability, and expanding to additional use cases.

Dr. Lisa Graham, CEO, Seeq

Andres Barbaro, VP, Software Engineering, Seeq

Steve Evangelista, VP, Product, Seeq

Dr. Lisa Graham shares Seeq’s vision for moving from analytics to intelligence, with an astute focus on the people behind industrial operations and the expertise they bring to every decision. Introducing the concept of decision capital, showing how operational knowledge, judgment, and past actions can function as a lasting asset that allows teams to make faster, more accurate, and more trustworthy decisions over time. This session also highlights how trusted, traceable AI and agent-assisted workflows can help manufacturers move more efficiently from insight to action, scale best practices, and drive measurable business value across the enterprise.

Matthew Littlefield, Co-founder and President, LNS Research

Dr. Lisa Graham, CEO, Seeq

Mark Holden, Chief Manufacturing and Technology Officer, Indorama Ventures

Sundeep Ravande, CEO, Innovapptive

In this Leadership Panel, LNS, Seeq, Indorama Ventures, and Innovapptive share how industrial teams are turning data into action and measurable business results. Highlighting the importance of focusing on business outcomes, aligning teams from the top down and bottom up, and starting now to close the gap between insight and execution.

George Skaryak, CRO, Seeq

Allen Turner, Manufacturing Analytics Manager, International Paper

Dr. Patrick Robinson, Senior Director, Operations Technology, PBF Energy

Dr. Patrick Bradley, Smart Manufacturing Automation Facilities Director, Texas Instruments

Brent Railey, VP, Industry Enterprise Transformation, Seeq

Leaders from International Paper, PBF Energy, Texas Instruments, and Seeq share how industrial teams are using data, analytics, and AI to drive faster decisions, scale best practices, and deliver measurable business value across their organizations. Through real-world examples, they talk through building trust, gaining executive support, empowering engineers, and moving from successful pilots to broader adoption without losing momentum. The conversation continues by highlighting how customer partnerships, clear communication, and practical AI use cases enable teams to turn operational insights into everyday impact.