Amazon Web Services - Simplifying Digital Transformation in Manufacturing with AWS

Manish Yashvant, Global Strategic Alliances, Industrial Manufacturing, Amazon Web Services

 

Conneqt 2023 – Workforce Empowerment

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  • 1

    16:55

    Amazon Web Services – Simplifying Digital Transformation in Manufacturing with AWS

  • 2

    20:57

    Seeq Deployment at Scale – Cargill

  • 3

    21:33

    Best Practices for a Sustainable Seeq Roll Out

  • 4

    18:36

    Guardian Industries – Enterprise Transformation in a Volatile Market

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

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

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    17:03

    Honeywell UOP – A Sustainable Future with Seeq

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    15:35

    Multi-Product Best Run Rate

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    15:05

    Leveraging IF97 Property Data to Optimize Batch Cycle Time