Live from Detroit: Siemens and HighByte partner on industrial data operations to scale Industrial AI 🚀
@Siemens is expanding the capabilities of its Industrial Edge ecosystem through a partnership with #HighByte. The collaboration enables customers to seamlessly connect, contextualize and transform data from both OT and IT sources, helping them to get value from industrial data. HighByte Intelligence Hub runs natively on Industrial Edge and is available now on the Industrial Edge Marketplace.
"The partnership solves a core challenge to make AI-powered industrial production a reality: making data from diverse sources accessible, understandable and actionable across the enterprise," said Rainer Brehm, COO for automation and CTO at @siemenssoftware.
🗞️ Visit the Siemens press room to learn more: https://t.co/4GNJ857wnZ
We're biased, but if you're not easily impressed, watch this video.
🎥 In his latest Art of the Possible video, HighByte CTO Aron Semle puts the Edge Data Lake concept into practice.
🤯 Aron walks us through a bioreactor scenario where modeled data from various industrial systems is exposed to @Snowflake through the #i3X open standard and the Intelligence Hub #MCP Server. A #Cortex agent in Snowflake explores the available factory data, builds pipelines on demand, and pulls in maintenance records to surface why batches are failing, all driven by the business user's questions.
💡 Industrial #DataOps removes the “impedance mismatch” between the Cloud and the factory. Open standards like i3X make this possible.
Watch it here and let us know what you think.👇
https://t.co/j3gOfdBrZz
🗞️ A new edition of the HighByte Resource Round-Up newsletter is ready for you!
💡 Get expert perspectives on emerging standards like #i3X, third-party analysis of the Industrial #DataOps market, and advice for reducing integration complexity in the age of AI.
✅ From analyst insights and podcasts to customer stories, product demos, and on-demand webcasts, this edition explores how industrial companies are modernizing their data architectures and making data products more accessible across systems and sites.
👇
https://t.co/dkXPcbe1Zf
Every second of unplanned downtime costs you. So, how do leading organizations prevent this and keep operations running smoothly?
@IDC's research found that organizations using #HighByte Intelligence Hub achieved:
🔧 A reduction in unplanned downtime by detecting issues early and triggering real-time, automated responses.
⚡ Faster resolution of downtime incidents—empowering teams to act quickly and minimize disruptions.
By integrating real-time data from smart sensors across enterprise systems, teams gained better visibility into their systems, enabling them to detect issues earlier, target interventions more precisely, and reduce inefficiencies.
Download the study for details: https://t.co/zx5UDfQzY3
✈️ We're heading to Detroit for #RealizeLIVE 2026.
Find us on stage, joining industry leaders to discuss successful AI, analytics, and digital transformation initiatives across manufacturing.
1️⃣ John Harrington, Chief Product Officer, will present "Taking real decisions at the digital speed - scaling through your DataOps strategy" alongside Raffaello Lepratti, Global Vice President for Industrial Manufacturing at @Mendix. Together, they'll explore data foundation fundamentals and demonstrate the power of HighByte, #RapidMiner, and #Mendix in customer environments.
2️⃣ HighByte's Jeffrey Schroeder will join leaders from @Siemens and @CESMII_SM for a panel discussion on the Industrial AI orchestration layer. The session will dig in on AI governance, secure model deployment, IT/OT architecture, and the infrastructure required to operationalize AI at scale.
Send us a message or reach out to your HighByte rep to schedule a meeting with the team. See you in Detroit!
⚖️ For manufacturers in regulated industries, the challenge with Industrial AI isn’t just innovation. It’s enabling AI while maintaining governance, validation, contextualization, and control over operational data.
In this @hannover_messe theater session, Aron Semle shares how @Bayer uses HighByte Intelligence Hub and @awscloud to unlock siloed historical data over MCP. This approach has enabled operators to query and infer data coming from PI System with conversational AI and move from static dashboards to ad hoc reports—delivering insights in seconds, not hours or days.
🍿 Watch on demand: https://t.co/WAANrFqT7Y
#HM2026 #IndustrialAI #DataOps #MCP
🧩 If you've spent time managing fragmented, proprietary APIs across a factory floor, you know the frustration.
Every system has its own API. Integrations are custom. And when something breaks, it takes time to fix, preventing you from leveraging your factory data.
i3X, an open standard developed by @CESMII_SM, gives industrial systems a common API strongly typed, discoverable, and IT-friendly for industrial data access.
#HighByte CTO Aron Semle is part of the working group that's building the standard. In his latest post, he shares why #i3X matters, where it fits in modern manufacturing architectures, and how it can help teams reduce bespoke integrations without replacing the systems they already use.
Read the full post.👇
https://t.co/HFlse7Qhhu
💡 Industrial AI can generate value fast, but only if the underlying data infrastructure can support it at scale.
At @hannover_messe, HighByte Chief Product Officer John Harrington, presented at the Amazon Web Services (AWS) Partner Theater on how Alcon used HighByte Intelligence Hub, powered by @awscloud, to create a scalable foundation for predictive maintenance and defect monitoring.
See the session to learn:
✅ How to prepare industrial data for AI use cases
✅ Key architectural considerations for scaling Industrial AI
✅ How Alcon is turning operational data into actionable insights
Watch on demand: https://t.co/l50O77fX0m
#DataOps #IndustrialAI #HM26
What happens when manufacturing teams have access to real-time contextualized data?
According to a study by @IDC, organizations using #HighByte Intelligence Hub saw:
✅ 25.5% improvement in floor team efficiency
✅ 89.8 fewer FTEs required for equivalent activities
✅ $6.29M in annual productivity gains
By automating data flows and delivering real-time contextualized data to the business, teams spend less time on manual reporting and more time optimizing operations.
🚨 Just 2 days until HighByte Office Hours: Building the API Layer for Modern Manufacturing!
Join HighByte leaders Aron Semle, Torey Penrod-Cambra, and Jeffrey Schroeder on May 13 for a live, 55-minute webcast. The team will discuss and demo:
✅ Expanding HighByte Intelligence Hub’s Factory API capabilities with #i3X to create a unified API layer for apps, AI agents, and analytics
✅ Building, editing, and summarizing pipelines using natural language with the new in-app Pipeline AI Agent
✅ Federating distributed namespaces across remote sites using Central Data to power enterprise pipelines from a single hub
Save your seat. 🎟️👇
https://t.co/A2stMS7TZI
⚠️ Warning: This post is not about AI.
In the past couple years, our customers have been building increasingly sophisticated data models and pipelines. While HighByte Intelligence Hub has always supported subscribing to eventful sources like OPC UA and MQTT, subscribing to changes across complex objects like Instances and Namespaces has become critical.
In this video, CTO Aron Semle introduces event subscriptions, available now in the latest release of the Intelligence Hub. The subscription engine simplifies pipeline design, eliminates polling, and ensures data changes are never missed across both local and distributed data sources. See:
✅ How the subscription engine expands the Event Trigger to work across OPC UA branches, Sparkplug groups, Instances, and Namespaces.
✅ How internal subscriptions power the new #i3X Server interface.
It's not AI. But it's pretty powerful for data operations.
Take 10 minutes to learn more with Aron and let us know what you think. 🎥 👇
https://t.co/usJ0Bi5puX
📣 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! 🎟️👇
https://t.co/iZ0zhWdsI5
🚨 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. 🎟️👇
https://t.co/nAFRHaDNUO
📈 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.👇
https://t.co/gXvEy41sei
💊 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.🎥👇
https://t.co/TN4caJLIvI.
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. 🎥👇
https://t.co/hwZfezG5PD
🚗 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. 🎧👇
https://t.co/OSGoFMsxl2
⏳ 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.👇
https://t.co/nKGkzwJDnr
🏭 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.👇
https://t.co/kUfRSjBmlU