SteamVision: From Field Insight to Digital Clarity - Indorama Ventures

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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20:56

SteamVision: From Field Insight to Digital Clarity – Indorama Ventures
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13:14

Seeqing Automated Model Retrains with Data Lab – INVISTA
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13:37

From Idle Time to Output: Cycle Time Analytics for Batch Reactors – Ecolab
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Driving Proactive Anomaly Detection and Root Cause Analysis in Polymer After‑Treatment Using Seeq – Kaneka North America

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

Conneqt 2026 – Champions

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20:56

SteamVision: From Field Insight to Digital Clarity – Indorama Ventures
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13:14

Seeqing Automated Model Retrains with Data Lab – INVISTA
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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

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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SteamVision: From Field Insight to Digital Clarity - Indorama Ventures

Download Presentation

Category: #Conneqt 2026

Industry: #Chemicals & Petrochemicals

Topic: #Anomaly Detection

Hunter McBrayer, Process Engineer, Indorama Ventures

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INVISTA – Streamlining onboarding with the Seeq AI Assistant

Category: #Testimonials

Industry: #Chemicals & Petrochemicals

Topic: #Anomaly Detection #Gen AI

INVISTA leverages Seeq to monitor processes and equipment, detect anomalies, and share insights across the organization, enabling timely responses and preventing potential failures. Additionally, the Seeq AI Assistant has been instrumental in quickly onboarding new team members and enabling the team to reduce analysis time significantly. By making data analytics accessible to everyone, Seeq supports INVISTA’s vision for data-driven transformation and decision-making.

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Syensqo - Enhancing Teamwork: Leveraging Dashboards for More Effective Collaboration

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Category: #Conneqt 2025

Industry: #Chemicals & Petrochemicals

Topic: #Workforce Empowerment

Cara Blankenbicker, Industrial Data Scientist, Syensqo

In the complex world of manufacturing, a process cannot be run optimally if people do not have access to relevant information when they need it. Information has historically been shared using a tapestry of solutions to generate dashboards for operators, monthly spreadsheets for stakeholders and ad-hoc analyses for engineers to troubleshoot processes. Today this can be streamlined into a coherent SEEQ dashboard solution, the product of an ongoing collaboration between site and corporate resources.

Conneqt 2025 – Performance Optimization

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16:40

Syensqo – Enhancing Teamwork: Leveraging Dashboards for More Effective Collaboration
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17:08

Solvay – Condition Based Batch Filter Washes and Renewals
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13:14

Rio Tinto – Enhancing Aluminum Cable Coiling Quality with Tangle Probability Indicators
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16:43

3M – Visualization of an OEE Seeq Analysis using Power BI

Solvay - Condition Based Batch Filter Washes and Renewals

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Category: #Conneqt 2025

Topic: #Anomaly Detection

Yu “Leon” Liu, Digital Engineer, Solvay

Solvay improved filter throughput and reduced OEE losses by 10% using Seeq to transition from a time-based to a condition-based schedule. The Seeq solution uses real-time data analysis and dashboards to predict optimal filter renewal times and provide data-driven recommendations, enhancing operational consistency by standardizing decisions across operators.

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4 videos

Conneqt 2025 – Performance Optimization
1:03:45

Monitoring Flows for Wastewater Management

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Category: #Conneqt 2024

Industry: #Chemicals & Petrochemicals

Topic: #Anomaly Detection

Branden Poulsen Ph.D., P.E., Sr. Process Engineer, Chobani

Chobani’s Twin Falls facility is one of the largest yogurt production plants in the world, producing up to 1.5 million lbs/day of dairy products. Learn how the Wastewater Operations team is using Seeq daily to monitor and predict flows to inform leadership teams and reduce city permit violations.