Resources / Video Hub Library / Conneqt 2026 Keynotes

Welcome Message - Conneqt 2026

Category: #Conneqt 2026

Selmane Sekkai, Director, Analytics Engineering, EMEA, Seeq

Michelle Hart, Senior Product Manager, Seeq

“From Analytics to Intelligence”

How better outcomes come from combining data with expert knowledge, testing, and real-world experience.

Conneqt 2026 Keynotes

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  • 1

    09:35

    Welcome Message – Conneqt 2026

  • 2

    24:37

    2026 Customer Awards

  • 3

    33:47

    Analyst Keynote: Market Shaping Decision Architectures

  • 4

    39:04

    CEO Keynote – Conneqt 2026

  • 5

    36:40

    Executive Panel: From Analytics to Intelligence

  • 6

    33:04

    Fireside Chat: From Analytics to EBITDA

  • 7

    1:21:30

    Product Keynote – Conneqt 2026

  • 8

    41:12

    Seeq Champions Panel – Conneqt 2026

Resources / Video Hub Library / Conneqt 2026 – Performance Optimization

Smart Monitoring: Where Analytics Meets Operational Discipline - Indorama Ventures - Indovinya

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Category: #Conneqt 2026
Industry: #Chemicals & Petrochemicals
Topic: #Industrial Reporting

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.

Conneqt 2026 – Performance Optimization

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  • 1

    13:21

    Smart Monitoring: Where Analytics Meets Operational Discipline – Indorama Ventures – Indovinya

  • 2

    16:03

    Operationalizing Process Hazard Analysis Recommendations with Seeq – Aditya Birla Group

  • 3

    16:03

    Enabling Simplified Creation of Complex Formulas with Seeq’s Formula AI Assistant – Cargill

Resources / Video Hub Library / Conneqt 2026 – Innovating with AI

Two Paths to Automated Reporting: Insight Boards and Agent Builder Reports - International Paper

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Category: #Conneqt 2026
Industry: #Pulp & Paper
Topic: #Gen AI

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.

Conneqt 2026 – Innovating with AI

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  • 1

    28:58

    Two Paths to Automated Reporting: Insight Boards and Agent Builder Reports – International Paper

  • 2

    24:39

    Journey to Intelligent PVC Process with Seeq: From Manual Operations to AI-Driven Excellence – Thai Plastic and Chemicals Public Company Limited (TPC)

  • 3

    21:11

    From Handoffs to Prototypes: Scaling Industrial Analytics with Seeq AI at Honeywell UOP – UOP a Honeywell company

Resources / Video Hub Library / Conneqt 2026 – Chemicals

SteamVision: From Field Insight to Digital Clarity - Indorama Ventures

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Category: #Conneqt 2026
Industry: #Chemicals & Petrochemicals
Topic: #Anomaly Detection

Hunter McBrayer, Process Engineer, Indorama Ventures

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.

Conneqt 2026 – Chemicals

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  • 1

    20:56

    SteamVision: From Field Insight to Digital Clarity – Indorama Ventures

  • 2

    13:14

    Seeqing Automated Model Retrains with Data Lab – INVISTA

  • 3

    13:37

    From Idle Time to Output: Cycle Time Analytics for Batch Reactors – Ecolab

  • 4

    Driving Proactive Anomaly Detection and Root Cause Analysis in Polymer After‑Treatment Using Seeq – Kaneka North America

Resources / Video Hub Library / Conneqt 2026 – Champions

SteamVision: From Field Insight to Digital Clarity - Indorama Ventures

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Category: #Conneqt 2026
Industry: #Chemicals & Petrochemicals
Topic: #Anomaly Detection

Hunter McBrayer, Process Engineer, Indorama Ventures

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.

Conneqt 2026 – Champions

1 / 4

  • 1

    20:56

    SteamVision: From Field Insight to Digital Clarity – Indorama Ventures

  • 2

    13:14

    Seeqing Automated Model Retrains with Data Lab – INVISTA

  • 3

    13:37

    From Idle Time to Output: Cycle Time Analytics for Batch Reactors – Ecolab

  • 4

    Driving Proactive Anomaly Detection and Root Cause Analysis in Polymer After‑Treatment Using Seeq – Kaneka North America

Resources / Video Hub Library / Journey to Intelligent PVC Process with Seeq: From Manual Operations to AI-Driven Excellence – Thai Plastic and Chemicals Public Company Limited (TPC)

Journey to Intelligent PVC Process with Seeq: From Manual Operations to AI-Driven Excellence - Thai Plastic and Chemicals Public Company Limited (TPC)

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Category: #Conneqt 2026
Industry: #Chemicals & Petrochemicals
Topic: #Gen AI

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.

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Resources / Video Hub Library / Driving Proactive Anomaly Detection and Root Cause Analysis in Polymer After‑Treatment Using Seeq – Kaneka North America

Driving Proactive Anomaly Detection and Root Cause Analysis in Polymer After‑Treatment Using Seeq - Kaneka North America

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Category: #Conneqt 2026
Industry: #Chemicals & Petrochemicals
Topic: #Anomaly Detection

Ziyan Sheriff, Senior Process Data Analyst,  Kaneka North America

See how Kaneka transformed declining polymer after-treatment rates into a proactive manufacturing intelligence capability using Seeq. In this breakout session, learn how Kaneka unified quality, process, and recipe data; used year-over-year analysis and principal component analysis (PCA) to uncover root causes such as dryer airflow issues and duct gaps; and achieved an immediate 10% improvement in after-treatment rates. The session also explores real-time anomaly detection and statistical quality analysis to identify process and QC drifts earlier, support corrective action, scale best practices across six plants, and move from reactive investigations to continuous improvement.

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Resources / Video Hub Library / Seeqing Automated Model Retrains with Data Lab – INVISTA

Seeqing Automated Model Retrains with Data Lab - INVISTA

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Category: #Conneqt 2026
Industry: #Chemicals & Petrochemicals
Topic: #Seeq Product Capability

Stephanie Ma, Modeling & Analytics Engineer, INVISTA

In this breakout session, Invista share how they used Seeq Datalab and AI-assisted Python to automate model retraining for rotating equipment at Invista’s Houston plant. They explain how her team reduced nuisance alerts by automating engine changeout checks, adding stabilization buffers, filtering downtime and outliers, and generating cleaner model bounds for more reliable failure prediction. The session also explores future enhancements—including prediction intervals, SHAP values, and automated model selection—and offers practical guidance for non-computer scientists on using Datalab and AI to build repeatable modeling workflows that better serve asset owners.

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Resources / Video Hub Library / SteamVision: From Field Insight to Digital Clarity – Indorama Ventures

SteamVision: From Field Insight to Digital Clarity - Indorama Ventures

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Category: #Conneqt 2026
Industry: #Chemicals & Petrochemicals
Topic: #Anomaly Detection

Hunter McBrayer, Process Engineer, Indorama Ventures

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.

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Resources / Video Hub Library / Operationalizing Process Hazard Analysis Recommendations with Seeq – Aditya Birla Group

Operationalizing Process Hazard Analysis Recommendations with Seeq - Aditya Birla Group

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Category: #Conneqt 2026
Industry: #Chemicals & Petrochemicals
Topic: #Downtime Reduction

Benjamin Cruz, Manufacturing Technology Engineer, Aditya Birla Chemicals

Aditya Birla Chemicals share how they used Seeq’s SPI Python library to automate reporting on interlock bypasses across more than 100 devices at a specialty chemicals facility. He explains how the solution transformed a time-consuming manual review into recurring, site-wide visibility of bypass duration and state changes, helping the team identify undocumented or prolonged protection-layer gaps, prioritize corrective actions, and reduce active bypasses. Cruz also demonstrates how the same reusable methodology can be applied to nuisance alarms and equipment faults, providing a practical example of how Seeq and Python can support safer, more informed process operations.

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