Juliana Fidalgo, Automation Engineer, Indorama Ventures – Indovinya

Indorama Ventures’ Indovinya shows how their business turned process variability into a more disciplined, data-driven operating model by bringing real-time analytics directly to the frontline. The presentation explains how the team identified critical variables, built statistical control and operational compliance measures in Seeq, and gave operators simple, visual dashboards that made shift-level performance visible, actionable, and consistent across the organization. It also highlights how dedicated control-room monitors, regular reviews, and leadership alignment helped move the site from reactive troubleshooting to proactive control, with measurable improvement in operational compliance and stronger day-to-day ownership of performance. More importantly, the talk shows that lasting value comes not just from monitoring processes more closely, but from embedding analytics into daily routines so that stability, accountability, and continuous improvement become part of how the site operates.

Ziyan Sheriff, Senior Process Data Scientist, Kaneka North America

Kaneka North America explain how they built manufacturing analytics capability across a multi-plant chemical operation with a small digital transformation team and a deliberate focus on adoption, alignment, and continuous improvement. The presentation describes how the team used an early high-value cycle time use case to secure leadership buy-in, replace manual Excel-based tracking with more scalable real-time visibility, and demonstrate how Seeq could help production and technical teams improve productivity, yield, reliability, and downtime performance. It also highlights the structured engagement model that supported broader adoption, including quarterly multi-plant analytics meetings, biweekly plant-level sessions, digital champions, and a clear process for prioritizing and deploying use cases across sites. More importantly, the talk shows that scaling analytics is not just about building dashboards, but about turning insight into action, creating ownership across teams, and building a culture where small, practical wins can scale quickly into broader business value.

Lucas Celoto, Process Engineer, Indorama Ventures – Indovinya

Indovinya shares how their Brazil site used Seeq to strengthen digital culture and empower frontline teams while responding to a significant increase in demand. Faced with producing more with the same assets and essentially the same number of people, the team focused on cross-functional collaboration and practical, high-value initiatives across logistics, maintenance, process engineering, quality, and safety. The presentation highlights measurable outcomes including reduced dwell time, lower downtime, fewer corrective actions, better process visibility, and record-setting production performance. More importantly, it shows how accessible analytics helped build trust in data, increase operator engagement, and drive lasting cultural transformation across the operation.

Rebecca Hedges, Quality Engineer, Ecolab

Rebecca Hedges of Ecolab shares how her team used Seeq to uncover hidden efficiency losses in batch reactor operations by focusing on cycle time adherence rather than treating all processing time as value-added. The session walks through how Ecolab isolated batch steps, compared actual versus standard cycle times, surfaced variability across products, vessels, and shifts, and translated those findings into practical actions such as maintenance changes, planning updates, automation, training, and procedure improvements. By turning lost time into measurable financial impact, the approach helped demonstrate real business value, including a 7% increase in annual batches produced, a 10% reduction in the impact of over-cycle-time runs, and a potential $1 million absorption benefit when scaled across vessels.

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.

George Skaryak, CRO, Seeq