Schneider Electric, a global leader in energy technologies, showcased new developments in its strategic partnership with Microsoft at Hannover Messe, demonstrating how their combined technologies help manufacturers modernize operations, accelerate engineering processes, and enhance sustainability.
Schneider Electric provides the industrial foundation for this collaboration through EcoStruxure Automation Expert—its open, software-defined automation platform that operates seamlessly in on-premises, edge, and hybrid environments. Microsoft extends this foundation with Azure cloud services and artificial intelligence solutions that analyze and optimize industrial processes. The result is a unified approach to agent-driven manufacturing, open automation, and end-to-end sustainability.
Today, manufacturers face increasing product variability, supply chain volatility, and heightened pressure to modernize safely. Schneider Electric addresses these challenges by combining engineering design with real-time operations. Their joint platform enables teams to standardize reusable logic, validate automation through simulation, ensure traceability throughout the entire lifecycle, and scale interoperable operations across different sites and equipment.
Schneider Electric is collaborating with Microsoft to develop the next generation of agent-based, software-defined manufacturing—an integrated workflow spanning design, engineering, construction, commissioning, and operations. At its core is EcoStruxure Automation Expert, which allows manufacturers to create, model, test, and deploy automation logic once and run it anywhere without additional reconfiguration. Schneider Electric’s deep expertise in safety, compliance, and industrial integration ensures reliability in highly regulated environments.
“From agent-based design to software-defined operations, Microsoft and Schneider Electric demonstrate a unified, interoperable workflow that enables the consistent verification, simulation, and deployment of automation logic both in the cloud and at the edge,” said Gwenel Yue, Executive Vice President of Industrial Automation at Schneider Electric.
While traditional automation software requires separate tools and handoffs between stages—design, simulation, commissioning, and operations—the shared platform unifies them into a single, transparent workflow. Specialized AI agents, coordinated by a centralized control system, automate routine engineering tasks and verify logic before implementation, reducing time from design to launch and increasing efficiency on the first attempt. Schneider Electric’s industrial copilot for manufacturers, powered by Azure AI, is already delivering results in the field: engineering teams report a 50% reduction in time spent configuring control systems and preparing documentation, and changes to production lines that previously took weeks are now completed in hours.
In one project to implement autonomous green hydrogen production in real-world conditions in collaboration with H2E Power, an Indian pioneer in the green hydrogen sector, the platform delivered over 6,000 hours of stable autonomous operation in one of the most demanding industrial environments — high-temperature solid oxide electrolysis for green hydrogen production — reducing the levelized cost of hydrogen by 10%, equivalent to approximately €500,000 per year for a typical 10 MW plant.
“Thanks to agent-based design, we close the loop from engineering concept to operational reality by automating solutions, ensuring early validation, and delivering reusable automation packages that Schneider Electric can model and consistently deploy both in the cloud and at the edge,” said Dayan Rodriguez, Corporate Vice President of Manufacturing and Mobility at Microsoft.
At their booths at Hannover Messe 2026, Schneider Electric and Microsoft presented hands-on demonstrations of early-stage joint innovation capabilities, including live demos, engineering AI, and an ecosystem of open standards, as part of a large-scale program to develop the next generation of manufacturing.
About Schneider Electric
Schneider Electric is a global leader in energy technologies, driving efficiency and sustainability through the electrification, automation, and digitalization of industry, business, and residential spaces. The company’s technologies enable buildings, data centers, factories, infrastructure, and power grids to function as open, interconnected ecosystems, enhancing productivity, resilience, and sustainability.
The company’s portfolio includes smart devices, software-defined architectures, AI-based systems, digital services, and professional consulting services. With 160,000 employees and 1 million partners in over 100 countries, Schneider Electric consistently ranks among the world’s most sustainable companies.
Learn more at https://www.se.com/ua/uk/
Indian Prime Minister Narendra Modi called on the international community to shape a “human-centric” future for artificial intelligence and presented the MANAV framework for global AI governance at the AI Impact Summit 2026 in New Delhi.
According to Modi, AI has the potential to accelerate change to a scale that was previously measured in decades, so it is crucial to adopt an approach where technology serves people, not the other way around, and where the well-being of society is at the center.
Within the framework proposed by India, MANAV (meaning “human”), the prime minister outlined five pillars: moral and ethical principles, accountable governance, respect for national sovereignty over data, accessibility and inclusiveness, and the legality and verifiability of AI systems.
Modi separately emphasized the need to counter deepfakes and disinformation, proposing the introduction of common standards for labeling digital content, including watermarks and source verification, and stressed the importance of protecting children when interacting with AI.
As examples of the practical application of AI in India, he cited the digital assistant for farmers, Sarlaben, which, according to him, provides advice on livestock health and dairy farm productivity, as well as initiatives for multilingual consultations for farmers, including Bharat-VISTAAR.
The Prime Minister also said that as part of the India AI Mission, India is rolling out computing infrastructure and a national repository of data and models to make access to capabilities cheaper for startups and accelerate the development of the AI ecosystem.
AgriAcademy is now accepting registrations for a new free practice-oriented course, “The Application of Artificial Intelligence Technologies in Agricultural Production,” designed for representatives of small and medium-sized agricultural businesses, agricultural enterprise managers, agricultural consultants, and technology specialists.
The course was created by a team from the non-governmental organization “Club of Experts,” which participated in an open competition for proposals to develop online training courses held by the Food and Agriculture Organization of the United Nations (FAO) in partnership with the Ministry of Agrarian Policy and Food of Ukraine and the Ministry of Education and Science of Ukraine in 2025 with the aim of overcoming the shortage of professional knowledge and skills in the agricultural sector, food and processing industries, with a focus on representatives of small and medium-sized businesses (SMEs) in Ukraine.
The agricultural sector is entering a phase where competitiveness is determined not only by production technologies, but also by the quality of data processing. While a few years ago AI was perceived as an experimental technology, today it is becoming a basic tool for managing yields, resources, risks, and market strategies. The new course helps to move from a theoretical understanding of AI to practical implementation with measurable economic results.
What participants will gain
Upon completion of the course, participants will be able to:
understand how AI models work in the agricultural sector;
assess the economic feasibility of implementing AI;
build simple prototypes of yield forecasting models;
work with multi-source data (sensors, satellites, weather, production logs);
develop a roadmap for the digital transformation of the enterprise;
avoid common mistakes in implementing expensive but ineffective digital solutions.
Course program: from basic principles to management decisions
Introduction. AI as a new infrastructure for agricultural production
The transition from intuitive management to data-driven approaches. How to start with a pilot and quickly assess the effect.
Module 1. Artificial intelligence opportunities for agribusiness
machine learning and generative AI in the agricultural sector;
working with agricultural data and sensor infrastructure;
automation of analytics and management processes;
forming the data architecture of an enterprise.
Practice: analysis of the possibilities of implementing IoT and Big Data in your own business.
Module 2. Resource optimization and productivity improvement
Yield forecasting and climate risk management;
Use of satellite and field data;
Optimization of water, energy, and bioenergy processes;
Building AI forecasting models.
Practice: Creating a prototype yield forecasting model based on multisensor data.
Module 3. Implementing AI in business management
AI in animal husbandry, logistics, sales, and finance;
KPI automation and digital project management;
scaling and adapting international experience;
evaluating the ROI of digital solutions.
Practical exercise: developing an AI implementation plan for your own enterprise.
Key learning outcome
The course provides a systematic overview of the use of artificial intelligence, from data collection to management decisions. Agriacademy participants will learn not only to test technologies, but also to build economically sound digital solutions for real agribusinesses.
Course authors and instructors
Experts at the intersection of IT, science, business, and management are involved in teaching:
Artem Goncharenko – IT entrepreneur, president of the International Transfer Technology Association, expert in technological development and digital monitoring systems.
Andriy Stanko – Doctor of Computer Science, expert in IoT, Smart City, monitoring systems, and sustainable development.
Oleksandr Morozov-Leonov – AI specialist, researcher in the field of computing technologies.
Maksym Urakin – PhD in Economics, founder of the NGO “Club of Experts,” expert in analytics and economic processes.
Who is this course for
owners and managers of agricultural enterprises;
agricultural managers and technologists;
specialists in the digitalization of the agricultural sector;
agricultural market consultants and analysts;
representatives of agricultural SMEs planning digital transformation.
How to join
Registration is now open on the AgriAcademy platform!
The course will be a practical tool for those who want to move from reactive management to a predictive, information-oriented agribusiness model.
The course is free and open to all registered users of the AgriAcademy platform.
Participants can study the materials online at their convenience, without time restrictions, and after successfully completing the final test, they will receive a certificate.
AgriAcademy is a free online learning platform created on the initiative of the EBRD as part of its food security support program in Ukraine. Its goal is to strengthen the competitiveness and sustainable development of agriculture, which has suffered significant losses due to the war.
The creation and management of the platform (including the development of courses, training tours, etc.) is carried out with the support and funding of the EBRD, as well as:
The EBRD’s Multilateral Donor Account for Stabilization and Sustainable Growth in Ukraine (donors: Denmark, Finland, France, Germany, Italy, Japan, the Netherlands, Norway, Poland, Sweden, Switzerland, the United Kingdom, the United States, and the European Union as the largest donor);
The Republic of Ireland through the EBRD Small Business Promotion Fund (other donors to the fund: Italy, Japan, South Korea, Luxembourg, Norway, Sweden, Switzerland, Taipei China, and the United States);
The Food and Agriculture Organization of the United Nations (FAO).
Motivair by Schneider Electric Announces New Coolant Distribution Unit Scalable to 10 MW and Beyond for Next-Generation AI Factories
Motivair by Schneider Electric, a leading innovator in liquid-cooling technologies for digital infrastructure, today introduced a new, industry-leading 2.5 MW Coolant Distribution Unit (CDU) designed to reliably cool high-density data centers.
The MCDU-70 model is the highest-capacity coolant distribution unit of any Motivair solution, offering a revolutionary, flexible, and scalable solution to meet the stringent requirements of next-generation graphics processing units (GPUs) and gigawatt-scale artificial intelligence factories.
Using Schneider Electric’s EcoStruxure software, Motivair CDUs operate as a centralized system—meeting today’s cooling needs with the ability to scale to 10 MW+ for next-generation high-performance computing (HPC), AI, and accelerated computing workloads.
Compact and efficient, the MCDU-70 is the latest addition to Motivair’s CDU lineup, delivering powerful cooling without compromise—fully maintaining system flow and pressure performance even at gigawatt scale. Its performance is ideally suited to the needs of large facilities such as the NVIDIA Omniverse DSX Blueprint, where deployments are designed for 10 MW to reach gigawatt scale. At 2.5 MW each, six MCDU-70 units can support a 4+2 configuration with redundancy, and the unit’s capacity aligns with NVIDIA’s GPU roadmap for the near term.
“AI is not slowing down. Our solutions are built to keep pace with the evolution of chips and silicon technologies—delivering next-generation performance exactly when it matters most,” said Rich Whitmore, CEO and President of Motivair by Schneider Electric.
“The success of data centers today depends on the ability to provide scalable, reliable, and energy-efficient infrastructure solutions that meet the requirements of next-generation AI factories. We are meeting this challenge with proven liquid-cooling solutions that scale along with our customers’ needs.”
With the addition of the MCDU-70, Schneider Electric’s full liquid-cooling solutions portfolio now offers CDUs with a power range from 105 kW to 2.5 MW, meeting both current and future performance requirements.
Each CDU is scalable and seamlessly integrates with other Schneider Electric devices and software, delivering a precise and reliable cooling system for data center operators.
The MCDU-70 is now available to order worldwide through Schneider Electric’s advanced manufacturing hubs in North America, Europe, and Asia.
To learn more, visit the website.
Related resources:
About Motivair by Schneider Electric
Motivair by Schneider Electric is a leading global provider of advanced liquid-cooling solutions built to overcome the most complex thermal challenges of modern computing systems.
As a trusted partner to silicon chip manufacturers and server OEM companies, Motivair delivers technologies that enable breakthroughs in artificial intelligence and high-performance computing (HPC), improving data center performance and reliability—both colocation and hyperscale.
From chip to chiller, Motivair offers a comprehensive portfolio of products, systems, and services that support innovators shaping the digital world of the future.
About Schneider Electric
Schneider Electric is a global leader in energy technologies, delivering efficiency and sustainability through the electrification, automation, and digitalization of industry, business, and homes.
Its technologies enable buildings, data centers, factories, infrastructure, and power grids to operate as open, interconnected ecosystems, improving their productivity, resilience, and environmental performance.
The company’s portfolio includes intelligent devices, software-oriented architectures, AI-based systems, digital services, and expert consulting.
With 160,000 employees and 1 million partners in more than 100 countries, Schneider Electric consistently ranks among the world’s most sustainable companies.
Discover the latest perspectives and trends in energy technologies on Schneider Electric Insights.
AI, DATACENTERSOFTHEFUTURE, MAKEAICOOLER, Schneider Electric
At the end of the second half of 2025, Ukraine ranked 111th out of 147 economies in the AI diffusion ranking prepared by Microsoft’s AI Economy Institute. According to the report, Ukraine’s AI Diffusion index for the second half of 2025 was 9.0%, compared to 9.1% in the first half of the year (a change of -0.1 p.p.).
For comparison, the index is significantly higher in a number of countries in the region: Poland – 28.5%, Romania – 16.2%, Moldova – 17.0% (H2 2025). At the bottom of the list, next to Ukraine, are Belarus (8.4%) and Russia (8.0%, 119th place).
The research methodology describes the indicator as an estimate of the share of the working-age population actively using AI tools, based on anonymized Microsoft telemetry and adjustments for device access; the authors also note a strong link between the spread of AI and the level of economic development.
The top ten in the ranking include the UAE (64.0%), Singapore (60.9%), Norway (46.4%), Ireland (44.6%), France (44.0%), Spain (41.8%), New Zealand (40.5%), the Netherlands (38.9%), the United Kingdom (38.9%), and Qatar (38.3%).
The bottom ten include Laos (6.7%), Armenia (6.6%), Sri Lanka (6.6%), Uzbekistan (6.3%), Rwanda (6.3%), Cuba (6.1%), Afghanistan (5.6%), Tajikistan (5.6%), Turkmenistan (5.6%), and Cambodia (5.1%).
The share of EU residents aged 16-74 who used generative artificial intelligence tools (such as ChatGPT, Gemini, Grok, etc.) in 2025 was 32.7%, according to the European Union’s statistical service (Eurostat).
According to Eurostat, such services were most often used for personal purposes (25.1% of respondents), less often for work (15.1%) and formal education (9.4%).
Among EU countries, the highest prevalence of generative AI use was recorded in Denmark (48.4%), Estonia (46.6%), and Malta (46.5%), while the lowest rates were recorded in Romania (17.8%), Italy (19.9%), and Bulgaria (22.5%).
According to Euronews, citing European statistics, in a sample of 33 European countries, the highest level of use was recorded in Norway (56%), and the lowest in Turkey (17%); The group of countries with penetration above 40% included Denmark, Estonia, Malta, Iceland, Finland, Croatia, Belgium, Sweden, Slovakia, Lithuania, the Netherlands, and Switzerland.
Ukraine does not appear in this European comparison. At the same time, according to a KIIS survey (fieldwork period: February 14-March 4, 2025), 26% of adult Ukrainians had practical experience using AI, with 17% doing so regularly (including 12% daily or almost daily).
Source: https://expertsclub.eu/32-zhyteliv-yes-u-2025-roczi-vykorystovuvaly-shi/
