HighByte Blog
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Read company updates and our technology viewpoints here.
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Time to read: 7 minutes  Posted by John Harrington The efforts of standards organizations like OPC Foundation, Eclipse Foundation (Sparkplug), ISA, CESMII, and MTConnect represent a significant step forward for the advancement of Industry 4.0 in manufacturing.
But industry standards only go so far. Businesses need data to tell the story of what is happening, why it is happening, and how to fix it. Multiple pieces of information must be assembled with other pieces of information from other sources to tell the use case story—just like words must be combined into sentences and sentences combined to form stories. Data standards can’t tell the use case story—they can only provide a dictionary. Standardizing the device-level data into structures is key, but only the beginning. Data standards alone will not solve your interoperability problems because they don’t provide the use case related context you need to make strategic decisions. Here are four key reasons why you still need an Industrial DataOps solution like the Intelligence Hub—even with the introduction or evolution of new standards. 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: 5 minutes Posted by John Harrington 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: 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. |
