HighByte Blog
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Time to read: 8 minutes  Posted by Torey Penrod-Cambra All eyes are on manufacturing these days. Global leaders see manufacturing as the engine powering a wide range of initiatives—from infrastructure development to energy efficiency. Their focus on industrial growth and sustainability shouldn’t be surprising when you consider that manufacturing accounts for roughly 17% of the global GDP and 23% of direct carbon emissions. The reprioritization of industrial investments around the world is good news for manufacturers.
Are you ready for the bad news? Manufacturers lag other sectors by a significant margin when it comes to data management. Enterprise Strategy Group (ESG), a division of TechTarget, surveyed 403 technical and business data professionals at organizations in North America to assess the state of DataOps in 2022. They defined DataOps as “improving the quality, delivery, and management of data and analytics at scale.” The study looked at market maturity, challenges, factors influencing buying and planning decisions, and business benefits among those surveyed. The findings were telling. Time to read: 6 minutes  Posted by John Harrington I’m excited to announce that HighByte Intelligence Hub version 3.0 is now available in beta.
The release is packed with powerful new capabilities, including a fully integrated MQTT broker, enhanced Central Configuration, more intuitive user experience, and many more. These capabilities will enable you to rapidly deploy the data infrastructure you need to build a Unified Namespace (UNS), scale these deployments, manage the environment, and meet your advanced Industrial DataOps use case requirements. 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: 6 minutes  Posted by Torey Penrod-Cambra When it comes to data collection, who are you really serving?
That objective often gets lost amid the OT/IT alignment discussions. Anyone who has embarked on a digital transformation project is likely familiar with the data silos that exist between their OT and IT departments. But we don’t spend enough time talking about how to make that data usable for the line of business. Our line of business colleagues (and their systems of record) are the ultimate customer. The use of IoT-enabled devices is increasing the availability of operational data. IDC has projected there will be 41.6 million IoT devices in the field generating 79.4 zettabytes of data by 2025. These devices include machines, sensors, and cameras as well as industrial tools. To truly make that data usable, we need to merge this data with information from other systems and provide context for line of business users. In an industrial environment, these users include quality, maintenance, engineering, R&D, regulatory, and product management. |
