Seeq Corporation, provider of Industrial Internet of Things (IIoT) advanced analytics software, announces availability of 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. These applications allow engineers and scientists in process manufacturing organizations to rapidly analyze, predict, collaborate and share insights to improve operations and business outcomes, according to Seeq.
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.
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.
· NOAA Weather Service Connector: data from the National Weather Service API can be integrated into Seeq analytics.
· Multi-user Awareness: now easy to know when other users are viewing, editing or presenting the same Worksheet or Topic
Seeq Data Lab is built on Jupyter Notebooks and a Seeq Python library, called Spy, to access Seeq functionality, and it is managed by the same administration features as other Seeq applications. The result is a comprehensive set of experiences for process engineers analyzing time series data including viewing and reporting of data in Seeq Organizer, advanced analytics with Seeq Workbench and expanding analytics capabilities with Python libraries in Seeq Data Lab. Seeq Data Lab also enables data scientists to find insights using machine learning algorithms and libraries, system integrators to create custom analytics for their clients and asset vendors to enrich their remote monitoring and predictive analytics services for customers.
For more information, visit: www.seeq.com