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Ascend Performance Materials - Why We Use Seeq in Anomaly Detection at Ascend

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Category: #Conneqt 2023
Industry: #Chemicals & Petrochemicals
Topic: #Anomaly Detection

Yele Soyombo, Data Science Manager, Ascend Performance Materials | Ezgi Gumusbas, Data Scientist,  Ascend Performance Materials

Ascend’s AI/ML team prioritizes anomaly detection use cases performed at scale, which presented problems for historically used traditional modeling and deep learning models. Seeq provided the flexibility to scale the same built-in anomaly detection model, while making minor tweaks to tailor to the asset or data available. In this presentation, we’ll share how we’re using Seeq ML to do anomaly detection, at scale, and present the results to engineering teams in Seeq’s friendly user interface.

Conneqt 2023 – Chemicals

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  • 1

    18:09

    Ascend Performance Materials – Why We Use Seeq in Anomaly Detection at Ascend

  • 2

    20:57

    Seeq Deployment at Scale – Cargill

  • 3

    17:14

    Chemours – Seeq Deployment at Chemours

  • 4

    17:03

    Honeywell UOP – A Sustainable Future with Seeq

  • 5

    15:35

    Multi-Product Best Run Rate

  • 6

    15:05

    Leveraging IF97 Property Data to Optimize Batch Cycle Time