HighByte Intelligence Hub is an Industrial DataOps solution that provides the digital infrastructure for Industry 4.0 use cases in discrete, batch, and process manufacturing.
Electronic batch reporting (EBR) streamlines recordkeeping for manufacturers, eliminating time-consuming manual data entry and validation, and the potential for human error. HighByte Intelligence Hub ensures information is readily accessible and provides a complete view of the product environment.
Learn how a pharmaceutical CDMO deployed HighByte Intelligence Hub to automatically create a comprehensive batch report model to drive their reporting and speed root cause identification of quality failures.
First-pass yield is among the most significant quality measurements that manufacturers track in their operations. HighByte Intelligence Hub ensures streaming test stand and production data is curated and contextualized for dashboards, allowing manufacturers to improve processes in real time.
Learn how a life sciences manufacturer turned to HighByte Intelligence Hub to create a contextualized data set that could seamlessly feed dashboards with real-time data.
Predictive asset maintenance shifts asset health strategies from reactive to proactive, preventing asset failures before they occur, reducing downtime, and minimizing maintenance costs. HighByte Intelligence Hub delivers the contextualized data needed to launch predictive asset maintenance programs.
Learn how an automotive supplier used HighByte Intelligence Hub to easily synchronize high frequency sensor data with PI System data to publish clean, standardized data models directly to their AWS-hosted analytical engine.
As OEMs introduce new IIoT services to their products as value adds, they must consider the cloud requirements to guarantee service without losing ROI. HighByte Intelligence Hub can help OEMs streamline and aggregate high volumes of sensor-fed, real-time data for the cloud, while minimizing unnecessary cloud costs.
Learn how a food & beverage OEM used the Intelligence Hub to streamline and standardize their data publishing to the Azure cloud, delivering a 45% reduction in cloud data transactions per machine.
Accelerate and maintain integrations between on-premises industrial systems and business systems.
Prepare and publish industrial data to a unified namespace (UNS) or subscribe to a UNS and distribute data to enterprise systems.
Prepare, contextualize, and deliver plant floor data for data lakes, dashboards, analytics, and machine learning (ML) applications in the Cloud.
Achieve cross-plant data aggregation, visibility, and production analysis in an enterprise Cloud with a data modeling abstraction layer.
Deliver setpoint changes or alerts from ML applications and modeled data from third-party sensors back into SCADA systems, HMIs, historians, and OPC servers on the factory floor.
Collect high resolution, sub-50ms sensor data in batches, contextualize, and publish to analytics applications or the Cloud.
“Though open APIs are rare in the manufacturing industry, this was one of our requirements when selecting an edge solution, and an important factor when we selected HighByte Intelligence Hub. The REST Configuration API has allowed us to programmatically configure, manage, and automate the Intelligence Hub. We expect HighByte Intelligence Hub will help us scale data gathering by transforming and modeling thousands of data points and exposing this information to the business with minimal resources.”
HighByte Intelligence Hub has been deployed by mid-sized and large industrial companies across 18 countries and 20 vertical segments, including:
Automotive
Aerospace & Defense
Electronics
Food & Beverage
Glass, Ceramics, & Concrete
Industrial Equipment
Luxury Goods & Jewelry
Mining & Metals
Oil & Gas
Packaging & Containers
Paper & Forest Products
Pharmaceuticals
Renewable Energy
Water & Wastewater
This post explains how the Intelligence Hub simplifies the process of sending usable data to the extensive cloud-based services on AWS and back to the factory floor for actionable execution.
This post explains why industrial companies need a dedicated abstraction layer for data modeling to achieve a data infrastructure that can really scale.
This post provides four practical use cases that illustrate the problems solved by Industrial DataOps for modern manufacturers.
Standardizing the device-level data into structures is key, but only the beginning. Here are four reasons why you still need an Industrial DataOps solution to provide the use case related context required to make strategic decisions.
HighByte Intelligence Hub serves as the integration solution between systems at the same level or different levels in the ISA-95 stack. Read this post to learn more about the ISA-95 specification and how it can be applied within the Intelligence Hub.
Visit YouTube to watch short, technical tutorials of HighByte Intelligence Hub that demonstrate a variety of use cases in 15 minutes or less.
Join the free trial program to get hands-on access to all the features and functionality within HighByte Intelligence Hub and start testing the software in your unique environment.