HighByte Blog
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Time to read: 8 minutes  Posted by John Harrington "We're not in Kansas anymore." In fact, we’re in Chicago at IMTS, the largest North American Industrial Technology show of the year, where we’re announcing the release of HighByte Intelligence Hub version 2.5! The latest version has come a long way since its original release in early 2020. What began as a data hub for OPC to MQTT has evolved into an Intelligence Hub that truly lives up to its name. The Intelligence Hub satisfies real, complex business use cases and enables enterprise IT management of industrial data.
Manufacturers have realized that publishing 750,000 data tags (or even 75,000 data tags) straight to the cloud at a 1 second rate does not solve real business problems for the enterprise and often creates a data swamp. Instead, industrial data must be collected, transformed, aggregated, and delivered to the cloud as curated data payloads. In HighByte Intelligence Hub version 2.5, we’ve provided unparalleled support for Microsoft Azure with the addition of Azure IoT Edge connectivity, support for Azure IoT Central, and the ability to import DTDL models from Azure Digital Twins. We’ve also also added support for third-party JavaScript functions, input cache management, instance referencing, and many more features to improve the coverage of more complex use cases that customers need to solve. As industrial data has become the major source of data for the broader business to drive improvement and new lines of revenue, the systems feeding the cloud for these initiatives must fall within the enterprise IT infrastructure. With the latest release of the Intelligence Hub, we’ve added support for Active Directory and improved ability to monitor and alert when data is bad or stale and when flow performance is poor. This post provides an overview of the release, highlighting new connectivity, monitoring, management, and advanced use case capabilities. Let’s take a look. 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 Torey Penrod-Cambra The real value of Industry 4.0 is realized when manufacturers unlock the power of analytics. With the addition of artificial intelligence (AI) and machine learning (ML), organizations can transform raw data into predictive, meaningful insights.
But manufacturers must first overcome a structural barrier to connect their process historians with their analytical applications. This is where HighByte Intelligence Hub comes into play. The latest release of the Intelligence Hub extends connectivity from enterprise systems to historian and time-series database applications, including PI System and InfluxDB. It removes a major disconnect between operational technologies (OT) and the business systems where organizational leaders access the information to make strategic decisions. Time to read: 7 minutes  Posted by Aron Semle When I first joined the HighByte team, I knew two things. First, modeling industrial data is immensely powerful. After spending a decade interacting with tags and seeing firsthand how building context from tags in the Cloud is painful, I knew that modeling data at the Edge would be a game changer.
The second thing I knew is that we were going to build a lot of connectors. This is par for the course in the industrial world where a mix of legacy and new equipment is the norm. We started with the most common and generalized standards, like OPC UA, HTTP, MQTT, and SQL to cast a wide net for connectivity options inside the factory. But it was clear that as we progressed, the market would demand explicit connectors for common systems. That is why I am excited to announce new connectors in version 2.2 for OSIsoft PI System (now part of the AVEVA portfolio), InfluxDB, and Oracle Database. All three connectors support both reading and writing data, and interacting with these systems in advanced ways, without needing to read a manual. |
