Leading the Industrial AI revolution

In product and production design, Industrial AI accelerates engineering workflows, enhances innovation, and enables teams to develop and produce higher-quality products that market faster.

In the realization phase, Industrial AI enables adaptive manufacturing through predictive production planning and scheduling, early issue detection and smarter factory-floor decisions.

In the optimization phase, Industrial AI boosts reliability and performance through maintenance forecasting, energy efficiency and less downtime, feeding insights back into design and planning for a continuous optimization loop.

Our unique Digital Twin approach enables you to plan, simulate, predict and optimize products, production processes, machines, and entire plants in the digital world before taking action in the real world.

Using proven, scalable IT mechanisms - such as decoupling functions from hardware - systems can be expanded via software and centrally managed as needed, enabling agility and continuous evolution from product to production.

As a Digital Enterprise, you can combine the real and digital worlds to unlock the full power of data and seamlessly integrate and digitalize the entire product and production lifecycles, including supply chains.

ANYbotics, Roboverse Reply and Siemens integrated autonomous mobile robots and drones into a COMOS app, using AI to automate inspection and maintenance, detect anomalies early, and boost reliability without extra training.

Kotányi uses Siemens AI-powered predictive maintenance to boost plant availability, cut downtime, and improve efficiency in food and beverage production by detecting machine issues early and optimizing operations.

Sachsenmilch and Siemens deployed AI-powered Senseye Predictive Maintenance to monitor data and predict machine issues, reducing downtime, saving costs and improving 24/7 dairy production reliability.

Boris Scharinger explains how AI is evolving quickly and how, in the near future, specialized AI agents will support engineers, optimize designs, automate dangerous tasks, and increase factory efficiency.

In this episode of Talking Digital Industries, host Alex Chavez explores the world of today’s available Industrial AI solutions with Alvin Clark from NVIDIA and Dr. Michael Schrapp from Siemens.

Siemens’ Matthias Loskyll breaks down how AI, simulation, and Digital Twins are transforming manufacturing, from automated defect detection to smarter, more efficient, and secure production powered by Siemens-NVIDIA collaboration.

Read exciting, AI-relevant blogs about how Industrial AI is accessible today, paving the way for tomorrow.