HighByte @HighByteInc

🏋️ What if AI could do the heavy lifting for repetitive #DataOps tasks? This interactive demo shows you how. See for yourself what AI for DataOps looks like in #HighByte Intelligence Hub. Step by step, you'll learn about two capabilities that accelerate how industrial data is modeled and moved: 🤖 The Modeling Agent. Upload context files, prompt your LLM to generate a Model, then accept it or keep iterating. 🤖 The Pipeline AI Agent. Ask AI to explain how an existing Pipeline is configured, then prompt it to change how that Pipeline works—or use the agent to create a new Pipeline—reviewing every proposed modification before you save. 🔗 Explore at your own pace: bit.ly/4ylrTq4

🛫 HighByte is heading to Cleveland next week for MX.0 Midwest, a manufacturer-led event focused on industrial data, AI, automation, and IT/OT convergence. Don't miss HighByte's Jeffrey Schroeder on Wednesday, 9/30 at 12:35 PM: "Why You Should Think About Your Data like the Products You Manufacture." 🎤 Manufacturers build every product to spec, but rarely apply that same rigor to the data flowing through their operations. Jeffrey’s session will introduce the industrial data product and a practical framework for making data fit for purpose and ready for AI agents that actually work in manufacturing. Staying an extra day? Join us at #DataOps Day Cleveland on 10/02. Limited tickets remain. 🎟️ Register here: bit.ly/3THvlfP

🏭 Getting industrial data into the cloud is one thing. Making it usable for AI, analytics, and applications is another. The @awscloud Industrial Data Fabric brings together AWS services and partner technologies like #HighByte Intelligence Hub to help manufacturers access contextualized industrial data through streaming, bulk, query, and API orchestration. HighByte prepares industrial data close to the source, adding the structure and context downstream applications need before AWS services consume and use it. The result: A reusable data foundation that supports analytics, automation, machine learning, and Industrial AI without treating every new use case as a separate integration project. 📖 Learn more: bit.ly/47cOJnV

🚀 On October 2, we're bringing together an impressive lineup of leaders from @FedEx, @MSAsafety, @CESMII_SM, Deep Digital Solutions Group, @awscloud, @Snowflake, and @solacedotcom for #DataOps Day Cleveland—a full day dedicated to the people transforming industrial data architectures and governance. Hear customer perspectives, technical insights, and cross-industry panels on building a strong data foundation, the evolving role of #i3X, and what it takes to scale Industrial DataOps across the enterprise. A few spots remain! Register today to join us in Cleveland. All ticket proceeds support @GirlsWhoCode. 🎟️👇 bit.ly/4hEWFEu

💡  Industrial data can only create value when the right people and systems can actually use it. In this article, HighByte co-founder @ToreyMarie breaks down how #i3X is addressing data fragmentation with an open, vendor-neutral API designed to make contextualized industrial data easier for applications to browse, read, write, and subscribe to. She shares the history behind the working group, how i3X is being deployed today, and what it could mean for the future of OT and IT integration. 📍 If you’re at #ICCUnleashed this week, stop by Aron Semle and Jeffrey Schroeder's session on Wednesday, September 23 at 12:30 pm to see i3X in action. They’ll demonstrate a real-world use case with the Intelligence Hub’s i3X Server and Ignition, showing how to move beyond siloed OT systems and support enterprise applications, analytics, and agentic AI. 📖 Read the post: bit.ly/3SUhylS

🔧 One system says "GPM." Another says "gal/min." Same measurement. Different labels. Multiply that across every unit, code, and tag in your operation, and standardizing it by hand turns into a full-time job. The new Lookup Maps capability in HighByte Intelligence Hub version 4.5 turns that translation work into a single, reusable reference your Pipelines can call in real time. In this demo, see how to: ✅ Standardize units, equipment codes, status codes, and more ✅ Build a static map directly in the Intelligence Hub or a dynamic map populated by a Pipeline ✅ Enable colleagues to maintain the reference data from a simple CSV, no product expertise required ✅ Set a refresh interval so cached values stay current The result: consistent, contextualized data flowing into your Models without the manual cleanup. ▶️ Watch the demo here: bit.ly/4gSRII7

🚨 The final stop on the #DataOps Days tour in the U.S. is almost here! If you missed us in Atlanta and can't make it to Cleveland, you still have one more opportunity to join us in #Boston on October 8. Co-located with Operations Calling, hosted by @tulipinterfaces, spend the day hearing from HighByte customers and industry experts in our partner ecosystem. Together, we'll share the challenges and successes of building a modern architecture and leveraging industrial data at scale. Speaker announcements coming next week! 🎟️ Space is filling up fast, so grab your ticket today: bit.ly/4gS4Wn2

✈️ We're packing our bags for #ICCUnleashed in Sacramento next week! 🎙️ Attendees can catch CTO Aron Semle and Director of Product Management Jeffrey Schroeder on September 23 at 12:30 pm for their session, “Operationalizing Industrial Data with HighByte and Ignition,” on the Edge Theater stage. Aron and Jeff will walk through a real-world use case showing how standardized, high-quality data across multiple sites and systems drives better decisions and lower operational costs. Get a look at where #i3X, #MCP, and agentic AI are taking industrial architecture next. More here 🎟️👇 bit.ly/4cIuAcL

🤖 AI didn’t create the industrial data problem, but it raises the stakes. As manufacturers move #IndustrialAI from pilots to production, more applications, models, and agents need industrial data that is contextualized, trusted, and usable. ☁️ The latest post by HighByte Director of Partner Success, Carolyn Baron, looks at how the Intelligence Hub and @awscloud help manufacturers prepare contextualized industrial data at the edge and make it available in the cloud for analytics, automation, and AI. 📈 Learn how @goustocooking built on this foundation, increasing OEE from 70% to 95%, reducing mean time to repair to less than 15 minutes, and later extending their architecture to new automation initiatives. Read the full story: bit.ly/4h5At4S

🔥 Announced today: HighByte has achieved the AWS AI Competency in the Agentic AI Tools category. This specialization validates the technical rigor behind HighByte Intelligence Hub and its proven ability to support Industrial AI use cases at scale for manufacturing, energy, and utility companies. “We’re seeing our customers move from agentic experimentation to production with HighByte Intelligence Hub and AWS cloud services like Amazon Bedrock," said John Harrington, Chief Product Officer at HighByte. Visit HighByte in the @awscloud booth at @IMTSchicago, opening today. We'll show you how to contextualize data for reliable agentic AI deployments and use generative AI to build data models and pipelines with natural language. 📍McCormick Place, North Building Level 3, Booth #236217 🗞️ More on the announcement: bit.ly/4xTkKgK #IMTS2026 #IndustrialAI #DataOps

📍Cleveland, Ohio, we're headed your way for #DataOps Days! Co-located with MX.0 Midwest, DataOps Day Cleveland is a full day built around one question: How do I build the right data foundation for analytics and #IndustrialAI? On the agenda: → State of the market → HighByte customer insights on project outcomes and lessons learned → Panels with diverse industry perspectives on overcoming industrial data challenges → Roundtables lead by experts on hot topics in digital infrastructure like #i3X, #GxP, and #UNS 🎟️ Registration is just $50 with all proceeds going to @GirlsWhoCode. Seats are limited and filling fast. 🔗 bit.ly/4xJcjo2

💡 Early in his career, a jammed conveyor belt showed Aron Semle, HighByte CTO, what can happen when teams don’t have a shared view of plant floor data. That experience reflects a broader challenge manufacturers still face today: environments may look connected, but the data often tells a different story. Legacy architectures, point-to-point integrations, and disconnected systems can make industrial data difficult to discover, standardize, and understand in the broader context of operations. In his latest @ForbesTechCncl article, Aron explores why manufacturers need to shift from system-centric to context-centric architectures, creating a shared view of operations that supports both plant-floor teams and #IndustrialAI. 📖 Read the full article: bit.ly/3SDwLHP

💡 What happens when you remove data bottlenecks and reduce latency? According to a study by @IDC, organizations using #HighByte Intelligence Hub saw up to a 360% improvement in data access speed, along with significant gains in data throughput and decreased latency. When data moves faster and more reliably, IT, OT, and business teams can shift from reacting to operating in real time. 🔗 Download the complete IDC Business Value study here: bit.ly/46qma60

✈️ Next week, we're heading to Chicago for #IMTS. HighByte will join our partners at @awscloud in Booth #236217. Visit us to see live demos that bring to life the symbiotic relationship between Industrial #DataOps and AI. 🔹 DataOps for AI — contextualizing industrial data so AI agents can be trusted in production environments 🔹 AI for DataOps — using Amazon #Bedrock to map data tags and build data pipelines with natural language Attending IMTS? Let's connect. Send us a message or reach out to your HighByte rep to schedule time with the team. See you in Chicago!

🚨 3 days until the @IIoT_World Industrial AI Summit 2026! 📆 Join #HighByte CTO Aron Semle and Mekatronik Director of Digital Transformation, Dênis Leite, on September 9 from 12–1 pm ET for their session, "From Months to Days: Accelerate Industrial AI with a Modern Data Architecture." The session will explore how manufacturers can modernize their industrial data architecture to support analytics and AI. Aron and Dênis will also share how @Stellantis is digitizing their manufacturing operations and improving how industrial data is connected, contextualized, and used across the plant. Attendees will leave with approaches to reduce integration complexity and make trusted industrial data more accessible for AI and other advanced applications. 🎟️ Register here: bit.ly/4cv4N7O #DataOps #IndustrialAI #IndustrialAISummit

🚨 Our next stop for #DataOps Days is Cleveland, Ohio! Co-located with MX.0 Midwest, join us on October 2 at the Truss Event Venue for a full day of customer stories, technical sessions, roundtables, and networking focused on industrial data strategy and governance. Product experts and HighByte customers like @FedEx will take the stage to share practical approaches to building a data foundation that can support analytics, AI, and modern industrial operations. 🎤 More speaker announcements are coming soon, so grab your spot before registration fills up. 🎟️ Registration is just $50, with all proceeds benefiting @GirlsWhoCode. 🔗 Register today: bit.ly/3SHxeJ2

🔎 A value in your #UNS looks wrong. Where is it actually coming from? #HighByte Intelligence Hub now manages configuration relationships as a graph. That means you can follow data lineage across your setup and answer "where did this come from?" without the manual dig. 🎥 In this demo, HighByte CTO Aron Semle starts with a suspicious totalizer reading in the UNS and traces it back to its source. Learn how to: 👉 Tag any node in your Namespace with metadata to sharpen what Smart Query collects 👉 Explore the new graph-backed Usage view and visually traverse Pipelines, Inputs, Instances, and Connections 👉 Access expanded #MCP tools for CRUD and Graph operations across Models, Instances, and Connections 👉 Connect an AI agent over MCP to trace lineage down to the Connection, node ID, and path The payoff: Faster troubleshooting, stronger data governance, and AI-ready context you can trust. 🔗 Watch here: bit.ly/4qQTlt4

🚧 How do you transform industrial data into something AI can actually use? We built an interactive demo to show you. Walk through an example of #DataOps for AI in #HighByte Intelligence Hub and learn how to turn disconnected data into a secure, AI-ready foundation. ✅ Connect to data wherever it lives, across your industrial and enterprise systems. ✅ Curate focused, purpose-built #MCP tools in Pipelines that can be exposed to agents. ✅ Use natural language to understand the MCP tools available to an agent as well as the data it can pull through those tools. Click through the interactive demo at your own pace, no download or sales call required. 👉 bit.ly/3T7jpUj

💡 What does investment in digital operations look like in practice? For @StellantisLATAM it means launching the region’s first industrial-scale vehicle dismantling plant and digitizing manufacturing operations. As part of that digital manufacturing effort, the company is building a real-time data architecture that brings together sensors, machinery, and production software to support predictive AI and digital twins. Built on digital infrastructure that includes #HighByte and @Siemens, the initiative has already helped recover 15 hours of production downtime, with the potential to produce 810 additional vehicles per year. 🔗 Read the full story on how Stellantis is advancing innovation across its operations here: bit.ly/4gJzmrw

🚀 New in HighByte Intelligence Hub version 4.5: the Modeling Agent. Turning cryptic tags into structured, AI-ready data slows an Industrial #DataOps process. The Modeling Agent in the Intelligence Hub uses AI to accelerate it. Point the agent at a P&ID file and an OPC server, describe what you need, and let it work through an agentic loop—analyzing the diagram, browsing tags, and building your Model and Instance. You review the results, then accept or reject the agent's suggestions before anything commits to your project. That control is the difference. Rather than an external agent making changes in a live environment, the Modeling Agent gives you a workbench to contextualize data faster with a human in the loop at every step. 🎥 See the demo: bit.ly/4yq95pF