AI will transform this century like electricity transformed the last. We scale AI across the physical world, end-to-end from design and engineering to operations, so our customers can turn ideas into real-world impact faster, with higher quality and efficiency.
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Turn data into a competitive advantage with real world Industrial AI. Join us from 20 -24 April or online.
Industrial AI is AI purpose-built for the real world: The factories, buildings, trains, power grids, and hospitals that keep our economies running. Unlike consumer AI, industrial AI must work in environments where reliability, safety, and precision are critical priorities.
This glossary of the most important key terms can help broaden your understanding and delve deeper into this fascinating world.
This new report explores how AI is helping organizations realize their sustainability goals. It provides an in-depth analysis of the current and projected impact of industrial AI accelerating transformative change.
Gain a deep understanding of AI and machine learning. Our training programs are designed to equip you with the insights and tools needed to drive innovation in your field.
Through technology, partnerships, and customer stories across manufacturing, buildings, transportation, grids, and AI infrastructure, we'll show how Siemens is accelerating Industrial AI and delivering real-world impact with customers and partners.
Optimize temperature management with AI-powered cooling to minimize manual intervention. This enhances efficiency and supports more sustainable data center operations by lowering energy consumption.
For hydrogen plants. Streamline plant design and engineering using generative AI. Reduce project timelines from months to weeks, enabling you to scale up green hydrogen production faster and more efficiently.
Modernize outdated systems with AI-enabled edge controllers. Leverage real-time data to automate building optimization, breaking down data silos and making operations more affordable and sustainable.
Across manufacturing, energy, and buildings, Siemens industrial AI is generating measurable results in throughput, efficiency, cost, and uptime. These are deployed systems, in operating facilities, with outcomes that can be counted.
PepsiCo deployed Siemens Digital Twin Composer to simulate and optimize production line changes before any physical modifications. This led to a 20% increase in throughput at a Gatorade facility within three months, while reducing capital expenditure by 10–15% by uncovering hidden capacity.
The new AI-powered robotized picking system is the result of a solid partnership between Mecalux and Siemens, combining knowledge and experience from both companies in industrial AI technology.
The Siemens Industrial Copilot is our generative AI assistant that empowers people across the value chain. It simplifies complex tasks like code generation and fault diagnostics through natural language, helping human experts focus on innovation and high-value problem-solving.
An innovative vertical farm in Dubai – among the largest in the world – is using Siemens technology to push new food production solutions to their fullest potential.
While industrial AI excels at data processing and automation, humans provide the accountability and contextual judgment to navigate real-world nuances. These three stories show how experts use AI to drive safety, efficiency, and continuous improvement.
A manager at Sachsenmilch used Senseye AI to find a pump failure weeks early. This let the team fix it during a planned stop, saving a six-figure sum and preventing the loss of thousands of liters of milk.
Operators in Spain use SIWA Leak Finder to catch leaks as small as 0.2 liters per second. By pinpointing 10,000 events, they dispatch crews with precision, saving water and lowering costs for the community.
At VA SYD, engineers trained AI to monitor 2,000 km of pipe. It caught tiny leaks that sensors missed, cutting water loss from 10% to 8% and preventing major bursts before they could disrupt the city's supply.
Our AI Lab presents podcast filled with the voices of those who re raising awareness for the potential of AI across Siemens.
Siemens demonstrated its integrated AI approach at CES 2026, showing how intelligence moves through a unified stack from engineering models to production data, edge inference to cloud deployment. One platform. Every industrial context. No reinvention required.
Unlock the full potential of Industrial AI by uniting every layer required for true data intelligence.
