Applications available as SaaS offering for process manufacturers
Seeq announced availability of its analytics solutions delivered via software as a service (SaaS) to allow process manufacturing organizations to analyze, predict, collaborate, and share insights to improve production outcomes.
Seeq Corp. announced availability of its analytics solutions delivered via software as a service (SaaS) on Microsoft Azure to allow process manufacturing organizations to analyze, predict, collaborate, and share insights to improve production outcomes.
“The move to cloud platforms for advanced analytics on large manufacturing data sets is clearly underway and will only accelerate,” said Michael Risse, vice president at Seeq Corp.
Seeq is already run by customers on Azure and includes support for Azure-specific features such as Azure Directory Service. Seeq will now offer its SaaS applications on Azure to address customer interest in Cloud-based analytics solutions. Shell, for example, will be providing cloud-based access to Seeq for its process engineers and experts working with OSIsoft PI data.
"Easy cloud-based access to Seeq by our engineers will enable faster insights and reporting on our key real-time data," said Johan Krebbers, IT CTO of Shell. "Our ability to tap advanced analytics offerings for predictive and root-cause analysis of assets and process outcomes delivers on our commitment to continuously improve execution results."
Recent releases of Seeq have focused on enabling larger deployments through scalability features and making the Seeq applications easier to use. R20 features, released this summer, include the ability to have live updates to Seeq Topics, which publish insights from Seeq to other users; expanded machine learning functionality for customers doing predictive analytics with Seeq; and deliver an improved query model for customers accessing contextual data from SQL-based data sources to provide faster connections to Big Data sources.
– Edited from a Seeq press release by CFE Media. See more Control Engineering asset management stories.