EXPERT WEBINAR:

Predictive Analytics 101

Tuesday, March 16

11:00 AM ET | 4:00 PM GMT

Computer-Seeq

Webinar Overview

Learn how to leverage data to implement proactive approaches to manufacturing issues through the use of predictive analytics.

You’ll walk away from this webinar knowing how to switch from a reactive approach to a proactive, predictive approach for equipment maintenance and process quality challenges. Join this webinar to learn how to create and deploy predictive maintenance and quality models, transforming your manufacturing strategy to save time and money.

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Eliminate spreadsheets to improve asset utilization monitoring. Get near-real-time insight into your data and reduce downtime.
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Gain insights into data to know where improvements need to be made allowing you to scale operations quicker.
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Reduce impact of operational problems through faster identification of issues, resulting in quicker response times.

Topics of discussion:

  • How to leverage data, cleansing, and first principles to build predictive analytics models
  • Methods of deploying predictive models from regression to advanced machine learning algorithms
  • How to scale predictive analytics across the organization
2021 Control Engineering Engineers' Choice

Seeq Advanced Analytics Software:

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QUICKLY ELIMINATE DISPARATE DATA
Easily integrate data from multiple historians as well as relational data from SQL Server, Oracle, and MySQL. Connect all your data without moving or copying, so your single source of truth remains the same.
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EASY INSTALL, BUILT FOR SCALE
Install in a matter of minutes, on-premise, in the cloud, or accessed as a SaaS application. Security, manageability, and scalability to adapt with your organization’s growth and usage.
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DESIGNED FOR COLLABORATION
Collaboratively investigate alarms, generate reports, and optimize production outcomes. Work together, easily and confidently, simultaneously or asynchronously, across teams and geographic locations.
EXPERT WEBINAR:

Predictive Analytics 101

Tuesday, March 16

11:00 AM ET | 4:00 PM GMT