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Okładka: The Physical AI Revolution: How Networks Power the Age of Intelligent Machines
Digital Twin
AI
robotics

The Physical AI Revolution: How Networks Power the Age of Intelligent Machines

Picture a warehouse robot navigating the aisles at full speed, or a port crane stacking containers with millimeter-level precision. These aren't machines running pre-written scripts — they're AI systems making decisions in real time. This is what the era of Physical AI looks like. Physical AI refers to intelligent systems capable of sensing, interpreting, and acting in the real world. Autonomous vehicles weaving through city traffic, robotic arms assembling components with surgical accuracy, smart energy grids responding instantly to load changes — these are just a few examples.

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Okładka: How MES Systems Feed Digital Twins in NVIDIA Omniverse with Production Data
nvidia
omniverse
OmniMES
+3

How MES Systems Feed Digital Twins in NVIDIA Omniverse with Production Data

Digital twins are increasingly appearing in modern factory strategies. Process simulations, virtual production lines, scenario testing without the risk of stopping production – this sounds like the future of manufacturing. One of the most recognizable tools in this area is NVIDIA Omniverse. The problem begins when a digital twin is supposed to stop being a visualization and become a reflection of actual production. For this, data is needed. And this is where MES-class systems play a key role.

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Okładka: AI Revolution in Industry: Breakthrough Technologies of January 2026
AI
SmartFactory
Digital Twin
+1

AI Revolution in Industry: Breakthrough Technologies of January 2026

January 2026 marked a pivotal turning point in the development of artificial intelligence. AI is evolving from an “interactive tool” into a “physical entity” capable of fundamentally transforming all industrial sectors—especially manufacturing. Physical AI and the Robotics Era Jensen Huang, CEO of NVIDIA, announced at CES 2026 that “the ChatGPT moment for robotics has arrived,” signaling a mass transition of AI from the virtual space into the physical world. NVIDIA introduced a series of open models for physical AI, including the Cosmos models capable of understanding the world and generating action plans, as well as Isaac GR00T N1.6, dedicated to humanoid robots. The new Jetson T4000 module, based on the Blackwell architecture, delivers four times higher energy efficiency and AI compute performance compared to the previous generation, priced at USD 1,999 (for orders of 1,000 units). Global companies such as Boston Dynamics, Caterpillar, Franka Robotics, LG Electronics, and NEURA Robotics presented a new generation of robots powered by NVIDIA technologies.

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Okładka: Data Sovereignty in Manufacturing: Building Resilient, Secure, and Scalable Industrial Systems
Data,
IIoT
AI

Data Sovereignty in Manufacturing: Building Resilient, Secure, and Scalable Industrial Systems

Why data sovereignty is no longer a technical detail — but a strategic advantage As factories accelerate digital transformation, cloud platforms are often presented as the foundation of innovation. But for manufacturing environments, where every second of downtime translates directly into financial and operational losses, dependency on external cloud services introduces real risk. Data sovereignty — the ability to control where industrial data is processed, who can access it, and how it is governed — is becoming one of the most important pillars of modern manufacturing architecture. This is not a trend. It is the foundation of operational resilience, industrial AI, and competitive advantage.

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Okładka: Why Specialized Industries Are the New Frontier of Industrial Innovation
SmartFactory
MES System
OmniMES
+1

Why Specialized Industries Are the New Frontier of Industrial Innovation

For the last two decades, most digital innovation has focused on mass-market IT: e-commerce, social platforms, and office SaaS. But the largest untapped opportunities now lie in highly specialized, industrial domains — where processes are physical, regulated, and operationally critical. Manufacturing, energy, logistics, and infrastructure do not need more generic software. They need systems that understand how the real world of machines actually works. That is where the next decade of industrial innovation will be built.

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Okładka: MES in 2025: Why MES Systems Are No Longer Just "Shop Floor Systems" but the Backbone of Production Data
MES
MES System
Omnimes

MES in 2025: Why MES Systems Are No Longer Just "Shop Floor Systems" but the Backbone of Production Data

System MES (Manufacturing Execution System) - If someone in 2025 still thinks of an MES system as "terminals at workstations and reports from the department," it's about as current as a fax machine in OT-IT integration. The Manufacturing Execution System has ceased being a shop floor application. MES has become the operational layer of truth between the world of automation (OT) and the business world (IT). MES systems in 2025 are operational platforms that determine whether a company thrives on availability, quality, lead time, and energy efficiency. The MES system has stopped being a cost—it has become a mechanism for steering competitiveness.

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Okładka: Good practices for communication between IT and OT networks. How to build a secure and modern industrial architecture?
it-ot
cybersecurity
IoT Communication

Good practices for communication between IT and OT networks. How to build a secure and modern industrial architecture?

Digitalization of manufacturing plants has made automation systems and IT systems work together more closely than ever before. Machine data flows into MES, ERP, and analytical platforms, while IT systems increasingly need access to industrial devices to monitor their status, security, and compliance with corporate policies. This creates tremendous opportunities for business growth, but it also introduces an area that requires exceptional caution. Communication between IT and OT networks is one of the most sensitive points within a facility — it is exactly here where vulnerabilities can emerge, leading to cyberattacks or disruptions in production processes.

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Okładka: How does OmniMES support a production manager in improving process efficiency?
OmniMES
Production efficiency
Production analysis

How does OmniMES support a production manager in improving process efficiency?

The role of a production manager is becoming more complex every year. Modern factories demand not only smooth operations and on-time execution, but also cost optimization, rapid reaction to deviations, and building a culture of continuous improvement. In such an environment, traditional Excel sheets, manual reports, or intuition-based decisions are no longer enough. This is where OmniMES proves its value — a system that gives the production manager tools to make informed, fast, and accurate decisions.

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Okładka: New OmniEnergy Energy Module – Intelligent Energy Management in Compliance with ISO 50001
OmniEnergy
energy consumption monitoring
renewable sources

New OmniEnergy Energy Module – Intelligent Energy Management in Compliance with ISO 50001

As electricity costs continue to rise faster than production margins, companies are increasingly looking for ways to achieve lasting reductions in utility consumption. The answer to these needs is the new energy module in the OmniMES system, which functions as an Energy Management System (EMS). It enables companies to monitor, analyze, and optimize energy consumption across the entire plant — using the same data already utilized by the MES system. This means there’s no need to install sensors or measuring devices twice — the same data can serve both MES and EMS purposes, significantly reducing implementation time and cost.

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Okładka: Cloud or On-Premise? How to Choose the Best MES Deployment Model
omnicloud
saas
on premise

Cloud or On-Premise? How to Choose the Best MES Deployment Model

Choosing between a cloud-based system and an on-premise solution is one of the most common decisions faced by manufacturing companies considering the implementation of production control systems. Both approaches have their advantages and limitations — they differ in terms of cost, security, deployment speed, and configuration flexibility. This article explains the key differences and shows how the OmniMES system adapts to various business needs, offering both deployment models: OmniCloud (SaaS) and OmniMES On-Premise.

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Okładka: 7 Wastes of Muda – How to Understand and Eliminate Waste in Production
7 Wastes of Muda
OmniMES
Lean Manufacturing

7 Wastes of Muda – How to Understand and Eliminate Waste in Production

Every manufacturing company has activities that do not add value to the product yet consume time, resources, and employee energy. In the book Toyota Production System: Beyond Large-Scale Production (1978), Taiichi Ohno identified seven of the most common types of waste. In Lean Manufacturing philosophy, these activities are called Muda – meaning wastefulness or uselessness (Japanese: muda = useless, unnecessary). Japanese companies, led by Toyota, have been effectively eliminating Muda for decades, achieving high production efficiency and flexibility. Understanding the seven classic wastes of Muda helps identify where productivity may be leaking in your company — and how to fix it.

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Okładka: Energy Efficiency Directive (EED) – what does it mean for Polish production plants and why it is worth implementing an EMS system
energy efficiency
Industry 5.0
EMS
+1

Energy Efficiency Directive (EED) – what does it mean for Polish production plants and why it is worth implementing an EMS system

The revised Energy Efficiency Directive (EED) – Directive (EU) 2023/1791 – sets out the framework and obligations designed to help the European Union achieve ambitious energy-saving targets. Among other things, the EED aims to reduce final energy consumption in the EU by 11.7% by 2030 compared to reference projections. It replaces the previous Directive 2012/27/EU and entered into force on 10 October 2023. Member States are required to transpose its key provisions into national law – the deadline for transposition was 11 October 2025.

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Okładka: Effective Maintenance: How an MES System Helps Minimize Micro-Downtimes in Production
Industry 5.0
Omnimes
Sparkplug B
+2

Effective Maintenance: How an MES System Helps Minimize Micro-Downtimes in Production

In modern manufacturing plants, every second of machine operation matters. Even short, seemingly insignificant interruptions – so-called micro-downtimes – can generate substantial losses on a production line. Research (Aberdeen Research) shows that unplanned downtime can cost manufacturing companies from hundreds to even thousands of dollars per minute. This is one of the reasons why more and more enterprises implement MES (Manufacturing Execution Systems). They support maintenance, enable real-time machine performance analysis, and help minimize the negative impact of micro-downtimes.

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Okładka: BigQuery AI in Industry 5.0: Analytical Revolution for Smart Factories
Bigquery AI
Google Cloud
OmniMES

BigQuery AI in Industry 5.0: Analytical Revolution for Smart Factories

Industry 5.0 is not just another stage of digital transformation – it's a fundamental shift in approach to manufacturing that places humans and sustainable development at the center of advanced technologies. In this new reality, analytical platforms like BigQuery AI become a key component of intelligent production systems, enabling the transformation of vast amounts of data into concrete business insights.

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Okładka: From Industry 4.0 to 5.0 – The Evolution of Digitalization and Its Impact on Modern Factories
Industry 4.0
Industry 5.0
AI

From Industry 4.0 to 5.0 – The Evolution of Digitalization and Its Impact on Modern Factories

For more than a decade, industrial digitalization has set new directions in manufacturing. The term Industry 4.0 became a symbol of the Fourth Industrial Revolution – the era of automation, robotics, and the Internet of Things (IoT). Today, Industry 5.0 is gaining traction. It does not replace 4.0 but builds on it, adding a new dimension: the integration of humans and technology in a sustainable and responsible way.

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Okładka: Integration of HMI Systems with Simulation: A Strategic Foundation for Resource Optimization in Industry 5.0
HMI
Industry 5.0
MES system
+1

Integration of HMI Systems with Simulation: A Strategic Foundation for Resource Optimization in Industry 5.0

In the era of industrial digital transformation, the global human-machine interface (HMI) market reached USD 24.5 billion in 2024 and is projected to grow to USD 55.2 billion by 2033, with a compound annual growth rate (CAGR) of 9.7%. At the same time, the simulation software market expanded from USD 19.95 billion in 2024 to an expected USD 36.22 billion by 2030 at a CAGR of 10.4%. These dynamic trends reflect a fundamental shift in the approach to optimizing production resources.

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