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. Introducing the Intelligence Hub version 2.3: Data conditioning, data pipeline monitoring & more4/5/2022
Time to read: 6 minutes  Posted by John Harrington Real-time performance monitoring is a crucial element of the Industry 4.0 revolution. Advanced analytics allow you to view or even predict anomalies in operational processes, such as asset performance, defects, or production bottlenecks in real time. But what about the integrity of data flows? As you become more reliant on analytics, disruptions to data collection, modeling, preparation, and delivery will reduce your operational agility, and could cause production delays, scrap, and other business challenges.
You need confidence that you have reliable data when you need it. This is where HighByte Intelligence Hub version 2.3 comes in. The latest release of the Intelligence Hub enables you to condition raw data, view flow and connection status in the user interface, and easily monitor data pipelines at scale using the Intelligence Hub or your preferred third-party system-monitoring applications, like Splunk and Datadog. The release is packed with enhancements that make developing and troubleshooting data pipelines easier than ever. Time to read: 7 minutes  Posted by Omar Ahmed Based on my conversations with more than 500 manufacturing companies and integrators over the past five years, I believe the Industrial Internet of Things (IIoT) will continue to be a paramount part of the manufacturing landscape in 2021. The new year will bring a continued increase in digitalization across enterprises. While we have seen an increase in “digital transformation” initiatives among manufacturing companies for several years, the COVID-19 pandemic and the challenges it created for production, safety, remote access, and supply chain have accelerated the urgency to make digitalization a reality. I also believe IIoT projects will continue to scale because of changes we are seeing in people, processes, and technology.
Here are five predictions for 2021. |
