Seeq Corporation has recently achieved Amazon Web Services (AWS) Industrial Software Competency status.
The designation recognises that Seeq has demonstrated technical steps proficiency and proven customer success building solutions targeting one or more of the primary steps in discrete manufacturing or process industries in product design, production design, production/operations.
These specialised software solutions enable companies in process and discrete manufacturing industries to increase the pace of product innovation while decreasing production and operational costs in their value chain.
“Seeq is proud to be one of the APN Partners to achieve AWS Industrial Software Competency status,” said Steve Sliwa, CEO of Seeq. “By leveraging the agility of AWS, Seeq enables process engineers, managers, teams, and data scientists to derive more value from data already collected by accelerating analytics, publishing, and decision making.”
AWS enables scalable, flexible and cost-effective solutions from start-ups to global enterprises. To support the seamless integration and deployment of these solutions, AWS established the AWS Partner Competency Program to help customers identify Consulting and Technology APN Partners with industry experience and expertise.
To receive the AWS Industrial Software Competency designation, APN Partners undergo rigorous AWS technical validation related to industry specific technology, as well as an assessment of the security, performance and reliability of their solutions.
Seeq’s advanced analytics solution is now available in the AWS Marketplace, enabling customers to rapidly investigate and share insights from process manufacturing data stored either on premise on in the AWS cloud.
“Leveraging both the expertise of the engineers and machine learning innovations, leading-edge solutions like Seeq enable organisations to gain intelligence from operations and obtain business value very quickly,” added Janice Abel, principal analyst at ARC Advisory Group. “Seeq is designed for ease of use by a variety of plant employees, making it simple and quick for them to find and share insights in their data.”
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