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SEEQ ANNOUNCES AVAILABILITY OF R22 AND BETA RELEASE OF SEEQ DATA LAB AT ARC INDUSTRY FORUM
New R22 features fueling continued growth for Seeq in enterprise deployments and expanded machine learning support will be demonstrated at the Forum.
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eeq Corporation, a leader in manufacturing and Industrial Internet of Things (IIoT) advanced analytics software, announces availability of their latest release, R22, and beta availability of Seeq Data Lab, at the ARC Industry Forum 2020. Seeq applications include Workbench for easy to use advanced analytics, Organizer for publishing insights in reports and dashboards, and now Seeq Data Lab for accessing Python libraries.
Additional R22 features requested by Seeq users include: - Improved Scatterplot in Workbench: conditional filtering and more display options help users find relationships among signals more quickly.
These applications empower engineers and scientists in process manufacturing organizations to rapidly analyze, predict, collaborate, and share insights to improve operations and business outcomes.
- Multi-user Awareness: now easy to know when other users are viewing, editing, or presenting the same Worksheet or Topic.
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New R22 features support enterprise data governance initiatives and priorities to support Seeq expansion in large organizations. For example, Seeq Integrated Security honors OSIsoft PI security restrictions for PI data access and enables administrators to set signal-level permissions on data in historians and other time series data stores. Each user therefore only has access to the data they need, facilitating data access compliance. 24 | Industry EMEA | April 2020
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- NOAA Weather Service Connector: data from the National Weather Service API can be easily integrated into Seeq analytics.
Seeq Data Lab, now in beta, was driven by Mark Derbecker, Seeq’s Vice President of Engineering, in response to requests by Seeq users to gain access to Python machine learning algorithms, and data scientist requests to leverage Seeq functionality. “Our objective is to remove any barriers for process engineers who want to expand their Seeq analytics efforts to the rich ecosystem of Python libraries,” says Derbecker. “At
