HighByte Blog
Read company updates and our technology viewpoints here.
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Read company updates and our technology viewpoints here.
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Time to read: 8 minutes Hannover Messe 2024 is just around the corner with the exhibit floor opening Monday, April 22 in Hannover, Germany. If you’ve never attended, Hannover Messe may truly be the world's leading trade fair for industrial technology, hosting more than 4,000 exhibitors and 130,000 on-site attendees each year. In this post, I’ll share a preview of what you can expect to see and hear from HighByte at the fair, including software demonstrations, product news, theatre presentations, and more. Time to read: 10 minutes One of the most common concerns I hear regarding the Unified Namespace (UNS) is the architecture lacks the versatility needed to address diverse downstream data consumers. Suppose quality, maintenance, and process engineers are all doing their part to support a production line. Quality teams need inspection results, maintenance teams need asset performance data, and process engineers need lot and process parameters. The teams need data sets that both overlap and differ by use case. These engineers are using different applications and services—anything from ERP modules for quality and maintenance to specialized ML platforms in the cloud—that each require very different data structures. Many of these applications and services do not easily interoperate with the UNS and its architectural conventions. They may not natively interface with MQTT brokers, nor should one expect them to. They may not consume payloads that were oriented around rigid asset hierarchy and publishing telemetry data from process control nodes. They may have completely different needs than what was envisioned when factory automation was installed and integrated. Their data needs can transcend how the UNS was initially architected and organized. HighByte Intelligence Hub can overcome these challenges. Through data modeling and pipelines, the Intelligence Hub enables the full potential of the UNS, delivering contextualized manufacturing data to the cloud. Let’s look at a sample architecture to see how. Time to read: 8 minutes As industrial organizations across the globe work toward digital transformation, many find the lack of readily accessible and usable data to be major barriers to success. Manufacturers want to use operational data to drive automated decisions from machinery to the Cloud and put better information in the hands of business leaders. But depending on their data maturity, manufacturers often find that:
The result of these challenges is the inability to scale. Even projects that manage to get rolled out are difficult and expensive to maintain, and therefore digital transformation goals are not met. Time to read: 9 minutes 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 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. As stated by Sandrine Périno, Manufacturing and Industrial Global Partner Lead at AWS, “The Intelligence Hub delivers a modern approach to integrating factory floor systems with AWS cloud services. HighByte complements our edge strategy and aligns with our mission to optimize operations for Industrials by providing highly contextualized data ready for analysis.” 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: |
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