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Hive MQ

Name: Hive MQ
Address: Postplatz 397, Landshut, 84028, DE
Telephone: +4987197506300
Price range: ££

HiveMQ is the Industrial AI Platform helping enterprises move from connected devices to intelligent operations.

HiveMQ is the most trusted MQTT platform, transforming businesses with the power to connect, communicate, and control IoT data. HiveMQ is the enterprise MQTT standard because it's reliable under real-world stress and proven across industry use cases in automotive, energy, logistics, manufacturing, transportation, and more.

04/09/2026

Join HiveMQ for the most significant platform launch in the company’s history.

Discover how manufacturers reduce downtime, improve efficiency and replicate proven operational improvements from one plant across the enterprise.

In this launch event, HiveMQ’s Chief Growth Officer, Tim Hall, and Chief Technology Officer, Magnus McCune introduce the HiveMQ Platform and explain why the future of Industrial AI requires a different architectural foundation: distributed where operations happen and centrally governed where control matters.

Learn how organizations connect, contextualize, analyze and act on operational data while maintaining the governance, security, and control industrial environments demand.

Build the foundation for agentic operations. More uptime, better efficiency, faster scale.

Register now: https://bit.ly/4cYm89g

02/09/2026

With so much noise around data and AI, it can be hard to know where to focus your energy and resources to reap the biggest reward.

Kudzai Manditereza walks us through the top priority for data leaders over the next 12 months 📽️

01/09/2026

While the Unified Namespace (UNS) may not be something new, it has become increasingly relevant thanks to AI.

UNS solves the problem that has paralyzed factories for decades: Data is created everywhere, but nobody can find it, understand and trust in it in real time, without building a custom point to point integration for every new connection.

HiveMQ Staff Industry Architect Sven Kobow walks us through what the UNS is, what is does and why it is especially relevant for smart manufacturing right now.

📽️

31/08/2026

Data teams are the beating heart of industry and the hidden guardians behind the smooth running of many of the operations that power life as we know it.

From the millions of connected devices, to billions of readings each and every day, all of which are relied upon to create life-saving medicines, to power the world and to keep everyone connected.

These are the teams driving innovation to not only keep factories running and devices connected, but to increase efficiency, cut costs and support data-driven decision making.

These teams sit behind the scenes in every modern organization and now is their time - your time - to take the spotlight.

Entries for the Industrial Data Innovation Awards are now open!

Full details and access to the short entry form here https://hubs.ly/Q04vM1zs0

28/08/2026

The question of the first step in the industrial AI journey is constantly underestimated.

It isn't model selection.
It isn't use case prioritization either.

The first step is an honest question: 'Is our operational data actually in a state a model or an agent can meaningfully use? Contextualized, real time, reliable in quality.'

HiveMQ Staff Industry Architect, Sven Kobow walks us through what it takes to get off the starting blocks with industrial AI.

27/08/2026

A KPI that means something different at every plant is not intelligence. It's confusion with a dashboard.

Most manufacturing analytics still run on a lag: pull the data, process it offline, report on what happened last shift. By the time the number shows up, the moment to act on it has passed.

Real operational intelligence works differently. It continuously interprets contextualized data, applies a governed calculation, and publishes the result back into the same backbone that carries the raw data, so operators, applications and AI agents can all use it.

That only works if the metric means the same thing everywhere.

Define it once: formula, inputs, exclusions, owner. Apply it consistently across every line and site. Comparison becomes arithmetic instead of an argument.

We break down what it takes to build that analytical layer, from real-time calculation to evidence and governance, in our latest post on the Analyze stage of an operational intelligence platform.

🔗 https://hubs.ly/Q04vB8K40

26/08/2026

Join us at the IIoT World Industrial AI Summit!

In his exclusive session, Kudzai Manditereza walks us through the journey from data streaming to autonomous action.

This is one you don't want to miss! 👀

📆 September 9, 2026
📍 Virtual at https://hubs.ly/Q04vnGqW0
⏰ 10-11am (ET)

🔗 Register here: https://hubs.ly/Q04vnMLw0

20/08/2026

Your data is connected. That doesn't mean it's understood.

A lot of plant floor data is available today but still disconnected from meaning. A temperature reading means little without knowing the asset, the process, the batch and whether it meets spec.

Connectivity gets data moving. Contextualization is what makes it trustworthy.

Our latest piece looks at how a Unified Namespace and a semantic graph work together to turn raw industrial data into governed operational information, the kind people, applications and AI agents can actually act on.

Two views, one shared model:

▪️ The Unified Namespace organizes data hierarchically, by enterprise, site, area, line and asset.
▪️ The semantic graph captures relationships a hierarchy alone can't, like one asset supporting several products or one batch touching several systems.

Together, they give AI agents something they rarely get: context they can trust before they act.

Read the full breakdown: https://hubs.ly/Q04tKgpv0

19/08/2026

Millions of connected devices. Billions of readings every day. All of it relied upon to make medicines, power industry and keep the world connected.

They keep factories running, cut costs and make real-time decisions possible, yet the teams behind the data rarely take the spotlight.

The Industrial Data Innovation Awards exist to change that.

Open now to HiveMQ customers, users and partners across manufacturing, energy, automotive, logistics and beyond, the awards recognize real results in industrial data, MQTT and industrial AI innovation.

Ford's winning entry showed what this looks like in practice: unifying data access across thousands of machines and dozens of plants to build the foundation for AI-driven manufacturing.

A strong entry needs three things: an interesting use case, detailed outcomes and the stats to back them up.

Entries close Sept. 25, 2026. Winners are announced in November.

Submit your entry to the Industrial Data Innovation Awards now!

https://hubs.ly/Q04tw6yw0

13/08/2026

Manufacturers are facing a huge problem and it's not more data; they have a data architecture problem.

Huge amounts of operational information already exist across machines, control systems, MES, historians, quality platforms, maintenance systems and enterprise applications, you name it.

However, that data is rarely connected, contextualized, analyzed and operationalized through one coherent architecture.

The result? Fragmented systems, isolated data pipelines, inconsistent KPIs, and manual decision-making processes that do not scale across sites and functions.

That means delays in preventative maintenance causing downtime, untrustworthy dashboards with inconsistent data and slow decision making across the organization.

This white paper presents a four-stage approach:
Connect
Contextualize
Analyze
Act

This approach creates immediate value through real-time visibility, standardized KPIs, operational analytics, quality monitoring and decision support, while establishing the event-driven and semantic foundation required to safely delegate selected, clearly governed tasks to AI agents over time.

Read the whitepaper:

https://hubs.ly/Q04s-7bK0

Adresse

Postplatz 397
Landshut
84028

Öffnungszeiten

Montag	09:00 - 18:00
Dienstag	09:00 - 18:00
Mittwoch	09:00 - 18:00
Donnerstag	09:00 - 18:00
Freitag	09:00 - 18:00

Telefon

+4987197506300

Webseite

https://www.hivemq.com/

Benachrichtigungen

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