HighByte

📣 Aron Semle, Torey Penrod-Cambra, and Jeffrey Schroeder are back for another installment of HighByte Office Hours on May 13. 💡 In this 55-minute live webcast, the team will discuss how the Intelligence Hub is bringing standardized, API access to industrial data, making it easier for any application, analytics tool, or AI agent to request contextualized data from the plant floor. See short demos of new features in HighByte Intelligence Hub version 4.4, including the new #i3X Server, Pipeline AI Agent, Central Data, and @databricks Zerobus connection. ✅ Don't forget to submit a question in the registration form for the team to answer live on May 13. See you there! 🎟️👇 bit.ly/4d7CY4M

🚨 Just one week until AI Manufacturing Day hosted by @IIoT_World! Join HighByte's Aron Semle alongside industry leaders from @CESMII_SM and @GE_Appliances for “i3X + UNS: The Architecture for Industrial AI” on Tuesday, May 12, at 10 am ET. This session will cover how teams are approaching Industrial AI, including: → Why fragmented systems and disconnected OT data remain a major barrier → How Unified Namespace #UNS is evolving into a real-time, contextualized data foundation → The role of the #i3X open standard in scaling interoperability across systems, sites, and vendors → What it takes to break down IT/OT silos and establish a shared source of truth If you're building a connected, data-driven manufacturing operation, this session is for you! #IIoTWorldDay Register here. 🎟️👇 bit.ly/3OGWDAE

📈 The @IDC MarketScape for Worldwide Industrial  #DataOps  Platforms evaluates vendors based on their ability to help manufacturers manage, standardize, and scale industrial data across complex environments—naming #HighByte as a Leader. 💬 According to the #IDCMarketScape, “HighByte Intelligence Hub is HighByte’s sole offering that supports all five key capabilities for industrial DataOps processes and numerous value-added DataOps capabilities such as pipeline health monitoring. It is deployed on premises at the edge but can be managed through a hybrid cloud hosting approach with local and cloud-based components for centralized management and governance. HighByte is developing Model Context Protocol (MCP)-oriented services to better support the rapidly growing demand for agentic AI integration and governance.” Want to learn more? Get your complimentary excerpt.👇 bit.ly/4eRxy0g

💊 What does AI look like in a regulated manufacturing environment? At @hannover_messe, Aron Semle met with with @IIoT_World's @fogoros to discuss the evolution of AI in regulated environments—and how @Bayer is putting AI agents to work in a #GxP environment without sacrificing compliance. Together, they cover: 💡 How Bayer #MCP-enabled @AVEVAGroup PI System, enabling on-demand production queries without entering the clean room. 🤖 Why AI agents need controlled, specific data access in regulated industries. 👨 Why human oversight is non-negotiable when working with LLMs on the manufacturing floor. Learn how life science teams are balancing AI adoption while still keeping humans in the loop in this 7-minute video.🎥👇 bit.ly/4uhtPO7.

Industrial data rarely lives in one place. It's spread across sites, areas, systems, and networks. This creates challenges for enterprise data targets. ✨Enter Central Data, now available in #HighByte Intelligence Hub.✨ Central Data simplifies distributed architectures. It enables a common set of pipelines to serve enterprise data targets from a single hub, with all modeled factory data discoverable and actionable on demand. In this demo, HighByte's Thomas McOscar teaches us how to: ✅ Enable Central Data on a remote hub ✅ Use remote mapping to inherit namespaces into the central hub ✅ Query remote data using the Smart Query pipeline stage Watch here. 🎥👇 bit.ly/4ta1CrF

🚗 Commuting today? We’ve got the perfect podcast for you. In his latest conversation on the @industrialtalk podcast, HighByte’s Tony Paine joined Scott MacKenzie to break down the Intelligence Hub's role in standardizing and structuring data—and why that’s essential as AI moves into real-world use on the plant floor. Tony and Scott discuss: → Preparing data for AI consumption → Bridging the IT/OT divide → Proving value with small, scalable wins A good listen if you’re ready to turn industrial data into something AI can actually use. Listen here. 🎧👇 bit.ly/3QFD5x1

⏳ What's standing between your team and plant-wide digital transformation? For many manufacturers, the answer is data—and time. At @hannover_messe, John Harrington joined @IIoT_World's @fogoros to discuss: 🔹 How agentic AI creates a 100x surge in data consumers. 🔹 How #MCP services provides controlled data access for AI agents on the plant floor. 🔹 How @Alcon went from estimating a year to deploy predictive maintenance and quality use cases across a full production facility to results in less than a month with HighByte Intelligence Hub. Watch the full interview to see how agentic AI and the Intelligence Hub are changing what's possible in manufacturing.👇 bit.ly/4eKbx3o

🏭 Manufacturers are spending millions on analytics and AI, and still can't get a clear picture of their operations. The culprit? Decades of siloed data and one-off integrations that were never built to scale. In the latest episode of the CTRL+ALT+MFG Podcast, Gary Cohen and Stephanie Neil sit down with John Harrington and John Dyck from @CESMII_SM to tackle the interoperability problem that's quietly stalling digital transformation in manufacturing. They get into: ➡️ Why interoperability is no longer just a technical challenge ➡️ How legacy systems and one-off integrations have slowed progress ➡️ Why #i3x and open standards might be the unlock manufacturers have been waiting for If your data currently lives in silos, this one's for you.👇 bit.ly/4tq3Kw5

🥇There is a reason why @hannover_messe is considered the world's leading trade fair for the manufacturing industry. And that reason is the people—vendors, users, and integrators here, together, sharing ideas and inspiring each other to lean into change and manufacture a better world. Find HighByte leaders and our partners from @Novotek_AB in the @awscloud booth located in Hall 15 for live demos, 1:1 sessions, and the latest product news. Then, grab a latte and head over to the AWS Theater to see John Harrington and Aron Semle share reference architectures and customer case studies from #Alcon and @Bayer. Get more details on our footprint at #HM26 and our collaboration with @Siemens here.👇 bit.ly/4cXt9HG

A year ago, everyone wanted AI—but no one was talking about the data foundation needed to support it. Now, that conversation is finally catching up. 🎙️ HighByte's Aron Semle returned to the IT/OT Insider podcast with David Ariens to discuss what’s changed (and what hasn’t) in Industrial #DataOps, and why #MCP, agents, and vibe-coded factory apps are here to stay. Tune in for a candid conversation on what’s real, what’s overhyped, and what industrial teams should be focusing right now. A few takeaways: → Manufacturers aren’t debating the need for data foundations anymore → “AI-ready” starts with connectivity, context, and standardization → Unified Namespace was just the beginning—not the end state → LLMs, agents, and MCP—what they are (and what they’re not) If AI is on your roadmap, this one’s worth 45 minutes. 🎧 Listen here ↓ bit.ly/41J70a0

To better understand the measurable impact of Industrial #DataOps, we worked with @IDC a leading analyst firm, to analyze real-world deployments and ROI. They found that organizations using #HighByte Intelligence Hub realized $518,000 in annual benefits per 100 employees. Here’s how the benefits break down: 💸 $51,900 in additional revenue opportunities ⚙️ $74,600 in savings on equipment 👥 $392,200 in increased staff efficiency The common thread: Less time managing data, more time using it. Download the complete IDC Business Value study here.👇 bit.ly/3QGTTUb

What if you could query all the data inside your factory with a single API? That's exactly what HighByte CTO Aron Semle demonstrates in his latest video. Using HighByte Intelligence Hub, Aron models a pharma production plant and exposes it over #i3X to @Microsoft AI Foundry. Then, with the #i3X OpenAPI spec, he connects a Foundry agent to the plant—no custom code, no brittle integrations. Within 10 minutes, you'll see the agent: ✅ Browse the plant hierarchy ✅ Read real-time batch data from individual reactors ✅ Pull historical data on demand ✅ Explore model relationships across assets The takeaway: i3X provides a standard API for exposing contextualized data from factory systems like AVEVA PI System and Kepware, making agentic AI in manufacturing practical, not theoretical. Watch the demo below or come see it live at @hannover_messe. 🎥👇 bit.ly/4vyLFgX

⛔ Transparency gets treated like a liability in manufacturing. And while that concern isn’t unfounded, the reality is a lack of transparency carries its own risk, especially in disconnected, siloed systems where real-time insight is limited, and decisions are made without the full picture. In her recent article for @Ind_today, HighByte's @ToreyMarie breaks down how to rethink transparency across the enterprise and supply chain through a #DataOps approach—improving visibility across plants and partners without introducing unnecessary risk. Read more👇 bit.ly/4th58RQ

⚠️ The fundamental need for an agnostic, purpose-built platform on which industrial companies can build their data architecture and integrations has never been greater.   So, how are you evaluating the vendors that support your efforts? 📈 The IDC MarketScape for Worldwide Industrial #DataOps Platforms provides a detailed evaluation of 14 vendors supporting industrial data life-cycle management, assessing how DataOps platforms ingest, standardize, contextualize, and deliver data across complex IT and OT environments. HighByte is recognized as a Leader. Download an excerpt of the #IDCMarketScape to get insights on the evolving industrial DataOps market and advice for technology buyers who are considering HighByte Intelligence Hub. Get your complimentary excerpt👇 bit.ly/3QhRFdP

🥨 Just one week until @hannover_messe! We’re teaming up with @Siemens to showcase what it takes to move from factory data to predictive insight and real-time action. Visit Siemens in the @awscloud booth📍Hall 15 – Stand D76📍for a live, end-to-end demo featuring HighByte Intelligence Hub, @Snowflake, RapidMiner (from Siemens) and @Mendix (from Siemens)—all working together to operationalize industrial data. Learn how to: ✔️ Onboard a new CNC machine ✔️ Unlock and contextualizing its data ✔️ Transform that data into predictive intelligence ✔️ Monitor and maintain the new CNC machine on a mobile device using a custom application. Get more details on the collaboration here. 👇 bit.ly/4tcOjHI

🤖 What if your data pipelines could explain themselves? New in version 4.4 of HighByte Intelligence Hub, the Pipeline AI Agent enables you to interact with data pipelines using natural language. In this demo, Thomas McOscar shows the agent in action: ✅ Summarizing pipeline behavior in plain language ✅ Adding stage descriptions and code comments to undocumented pipelines ✅ Modifying configurations for an MQTT write destination Whether you're onboarding new team members or maintaining complex pipelines, the Pipeline AI Agent will accelerate your development and documentation. #DataOps ▶️ Watch the demo: bit.ly/4chMOAO

The biggest barrier to #IndustrialAI isn’t the model. It’s untrustworthy data. 💬 "We've seen a massive rediscovery of the data quality problem. Garbage in, garbage out is going to get exponentially worse with the power of AI layered on top. Ensuring data quality remains the absolute number one barrier to scaling out AI today." — Colin Masson, Director of Research, @arc_advisory At this year's ARC Industry Leadership Forum, Plains All American shared what this looks like in practice—moving from point-to-point integrations to establishing a scalable #DataOps foundation and standardizing data with HighByte Intelligence Hub. The result? ✅ Connected to and contextualized data from ~1,400 Electronic Flow Measurement (EFM) meters in just days. ✅ Tapped into PI System to feed AI applications without data replication. Read the event recap to learn how leading manufacturers are preparing their data for AI and dismantling legacy data silos.👇 bit.ly/47L37EU

🔔 We’re excited to share that HighByte has been named a Leader in the @IDC MarketScape: Worldwide Industrial #DataOps Platforms 2026 Vendor Assessment. The #IDCMarketScape represents both quantitative and qualitative assessments of vendors’ capabilities and strategies to deliver software and services in support of industrial data life-cycle management with industrial DataOps platforms. According to the IDC MarketScape, “differentiating HighByte are its dedicated focus on supporting industrial DataOps processes, a completely agnostic posture toward downstream data use, support for hybrid cloud architecture, and simple and transparent pricing structure.” Read the announcement here👇 bit.ly/4mdEN4v

🇩🇪 The @hannover_messe excitement is building! HighByte returns this year with a bigger footprint and our partner ecosystem at the center. Beginning 20 April, visit us in the @awscloud booth in Hall 15 to see a live demo of the Intelligence Hub and learn how we're collaborating with AWS and mutual ecosystem partners to deliver AI-ready industrial data at scale. Then, grab a latte and head to the AWS Theater to see HighByte product leaders John Harrington and Aron Semle share technical insights and customer case studies from #Alcon and @Bayer. 🎟️ Are you ready for Hannover? Get your complimentary ticket and add our sessions to your calendar here.👇 bit.ly/4mil1Vy #HM26 #DataOps #IndustrialAI

Industrial data doesn't live in one place. It's spread across sites, systems, and networks. As organizations connect more systems in more directions, the demands placed on that data multiply with every integration. #HighByte Intelligence Hub version 4.4 is built for that environment. Here's what's new: 📡 Central Data. Federate namespaces from remote hubs into a central hub to subscribe to and draw from remote data sources as if they were local. ⚡ Native @databricks #Zerobus connectivity. Enable direct, low-latency streaming ingest into Databricks without any intermediate service. 🌐 i3X Server. Leverage an API-centric approach and expose the Intelligence Hub namespace to any #i3X-compatible client. 🤖 Pipeline AI Agent. Connect to your LLM of choice and then conversationally summarize, create, and edit data pipelines. Get the details in this new post by Jeffrey Schroeder.👇 bit.ly/487IK4J