HighByte Blog
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Read company updates and our technology viewpoints here.
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Time to read: 9 minutes  Posted by Torey Penrod-Cambra It’s been inspiring to see the wide variety of ways customers are using HighByte Intelligence Hub to conquer Industry 4.0 use cases that previously seemed impossible. From creating contextualized electronic batch reports to improving first run yield, predicting asset maintenance, performing real-time analytics on UNS data, and gaining enterprise-wide performance visibility across multiple sites with different systems—customers are using the Intelligence Hub in increasingly more sophisticated ways.
With more sophisticated use cases comes the need for more sophisticated tools for scalability and connectivity in the Intelligence Hub. That’s why I am so excited to introduce HighByte Intelligence Hub version 2.4. With new instance and input templates and parameters, global functions, custom conditions, OPC collection, and more, the latest release takes a giant leap forward in terms of scalability and data pipeline automation. I sat down with my friend and colleague John Harrington, Chief Product Officer at HighByte, to learn more about version 2.4 and what these new capabilities will mean for our customers. Time to read: 5 minutes  Posted by John Harrington If you’re moving industrial data to the cloud, you’re probably aware that AWS offers a breadth of services to store, catalog, analyze, and share operational information. Cloud services have become a key enabling tool in digital transformation because of their ability to store, process, and analyze large amounts of data in a centralized location.
HighByte recently joined the AWS Partner Network to help manufacturers contextualize and deliver data from their connected systems to the cloud with seamless efficiency. Manufacturers use cloud services differently depending on their specific needs, so we wanted to highlight the four primary ways our customers are connecting the Intelligence Hub to AWS. They include: |
