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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    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

Resources / Video Hub Library / Conneqt 2026 – Champions

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

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

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

Download Presentation
Category: #Conneqt 2026
Industry: #Chemicals & Petrochemicals
Topic: #Batch

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.

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