EU Industrial Data Regulation: From a Legal Obstacle to the Key to Digital Transformation
Nvidia and the data problem at a broader scale
Nvidia and the data problem at a broader scale
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.
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.
Industry doesn't need another technological revolution, but predictability and measurable ROI. Most Web3 initiatives in manufacturing never escape pilot phase because they solve problems plants don't actually have.
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.
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.
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.
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.
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.
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.
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.
OmniMES is a modern Manufacturing Execution System (MES) designed on a microservice architecture. This model ensures scalability, flexibility, and independent development of individual modules — from machine communication to data analytics and production management.
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.
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.
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.
Industry 5.0 is no longer just about automation but about smart use of data. With IoT and MES, every machine produces endless streams of signals. The challenge is not in collecting them, but in analyzing and using them in real time. Vector databases and AI are increasingly at the heart of this process.
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.
The integration of the Sparkplug B protocol in MES systems enhances energy efficiency and reliability in production.
The digital transformation of manufacturing requires a strategic approach to managing production batches. The use of Manufacturing Execution Systems (MES) combined with Industry 5.0 technologies can reduce downtime by 50% and cut maintenance costs by 40%, according to the latest Deloitte research.
Modern industry is at the heart of digital transformation, where Manufacturing Execution Systems (MES) with real-time data analytics form a cornerstone of Industry 5.0. According to a 2023 McKinsey Global Institute report, companies that deploy advanced analytics in production achieve, on average, a 15–20% productivity increase and a 25% reduction in defects.
The Polish market for operator panels and HMI systems is worth ~PLN 120 million annually. Yet, only 15% of factories in Poland are fully automated, highlighting vast potential for companies ready to invest in modern batch management technologies.