HighByte Blog
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Time to read: 7 minutes  Posted by Torey Penrod-Cambra You don’t have to agree with environmental policies to know that sustainability is a part of business and life today. Supply chain partners, regulators, customers, and investors are demanding more environmental accountability from manufacturers—and with good cause. According to the International Energy Agency, the manufacturing and power sectors account for 63% of energy-related CO2 emissions worldwide. Progress depends largely upon their success.
Thankfully, manufacturing has come a long way since the third industrial revolution that saw a rise in automation and productivity without much consideration for environmental impact. The fourth industrial revolution, or Industry 4.0, has given manufacturers more insight into their operational efficiencies. Network-connected assets provide a real-time lens into performance metrics that go hand-in-hand with more sustainable production. Still, this level of connectedness presents a new challenge: How to manage data more efficiently. Time to read: 7 minutes Posted by Torey Penrod-Cambra For the past several months, 55 beta testers in 13 countries have been kicking the tires on HighByte Intelligence Hub version 3.0 and generously providing their feedback. Today, I’m excited to announce this major release is now available.
Version 3.0 is a step change for the Intelligence Hub and for the Industrial DataOps market. It raises the bar for what a DataOps solution can be at Enterprise scale. It introduces a powerful new Pipelines builder to curate complex data pipelines. It makes the often-vague concept of the Unified Namespace (UNS) tangible and achievable with an embedded MQTT broker—reducing additional software, cost, and administration overhead for our customers. I sat down with HighByte Chief Product Officer John Harrington to talk about some of these advancements available in Version 3.0, including Pipelines. His thoughts are below. I also provide insights from our partner Goodtech, a deep dive on the embedded broker, a review of new project management capabilities, and more. Time to read: 6 minutes  Posted by John Harrington Have you ever watched a press conference when a room full of reporters bark questions at the same time? Typically, the media event host will call on a particular reporter to repeat the question and then move on to the next person in the room. Without some ground rules, an actual conversation couldn’t take place. No one could hear the questions being asked, and few would get any answers.
Unfortunately, this same scenario often occurs with industrial data. With so much operational technology (OT) data generated on any given day, manufacturers risk losing critical information in the sea of “data noise” coming from their systems or having to expend vast resources to clean that data in the cloud. 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. |
