Seeq + AWS: Faster Insights for Better Production Outcomes
Seeq enables advanced analytics on process manufacturing data. When deployed on AWS, Seeq connects to disparate data sources to provide a single view of process manufacturing data at scale. Users can cleanse, contextualize, and investigate time series and relational data to diagnose issues and share their findings across their organization. With support for real-time collaboration and capturing the expertise of engineers, Seeq enables organizations to drive improvements in product quality, asset availability, and yields.
The combination of AWS and Seeq pairs a secure cloud services platform with innovation in advanced analytics. Seeq can access time series and relational data stored in AWS data services including Amazon Redshift, Dynamo DB, S3, and Athena. Data scientists can access cleansed process manufacturing data in Seeq and create machine learning models in Amazon SageMaker. Those models can be accessed in Seeq, enabling seamless collaboration between data scientists and subject matter experts. Seeq also supports IoT data from Amazon IoT Sitewise and Kinesis.
Seeq is both an Amazon Partner Network (APN) Industrial Software Competency and Advanced Technology Partner. In oil & gas, pharmaceutical, utilities, and power generation verticals Seeq has worked with numerous AWS customers to improve production and business outcomes. Seeq has passed AWS requirements that meet the “well architected for AWS” standard.
- Simple deployment: Easily connect to, contextualize, and cleanse process automation data in Seeq. Seeq is scalable and secure, growing with the needs of any organization. Seeq runs on an AWS cloud environment or as a managed SaaS service.
- Bridge data silos: Seeq connects to all process manufacturing data sources, whether on-premises or on AWS, enabling users to easily prepare data for analysis. With these insights they can make informed business decisions without manipulating or changing underlying data.
- Predict, democratize, prevent: With reports and dashboards, Seeq enables users to perform root cause analysis, democratize those insights, and collaborate across the organization to determine the best course of action.
“We are proud to have Seeq join our elite pool of AWS Partner Network Technology partners for our Industrial Software segment. Seeq supports advanced AWS services, such as Redshift and Dynamo DB, enabling our joint customers to find new insights with advanced analytics on process data.”
– Manish Yashvant, Industrial Software Partner Development at Amazon Web Services
Seeq Corporation has achieved Amazon Web Services (AWS) Industrial Software Competency status. This designation recognizes that Seeq has demonstrated technical 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 specialized 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.
Learn more about Seeq Industrial Software Competency on AWS.
Watch our recorded webinar focusing on how Seeq serves customers in process manufacturing industries as they make the journey to the cloud, the Industrial Internet of Things (IIoT) and machine learning. As more engineers, managers, IT teams and data scientists discover new opportunities to drive business value at scale with the cloud and machine learning, Seeq enables tighter collaboration between the engineers who are experts in the process and the IT teams who are expert in advanced technologies. Discover how Seeq serves customers in process manufacturing industries as they make the journey to the cloud, the Industrial Internet of Things (IIoT) and machine learning. In this webinar, we cover: Seeq deployment options for the AWS cloud How Seeq users can collaborate with data scientists in their organizations to take advantage of advanced machine learning models.
Learn more about Advanced Analytics in the Cloud with AWS.
In December 2019, 60k attendees descended upon Las Vegas for AWS re:Invent. Just like Amazon Web Services (AWS) generally, re:Invent is fast-growing and overwhelms with its sheer breadth of content. With dozens of announcements and multiple keynotes from senior executives, including an analyst-only session with AWS CEO Andy Jassy, re:Invent has quickly become a can’t miss tech event. Jassy clearly took pleasure in the success of AWS, as he should. Started in 2006, after just 13 years, the division has grown to $36B in revenue, is still growing at 35% compound annual growth rate (CAGR), and is Amazon’s most profitable.
Learn more about AWS Disrupting the Industrial Technology Ecosystem.