Siemens Technology has leveraged advancements in neural networks and reinforcement learning (RL) over the last two decades to create innovative products and services. The company's journey into RL began with a smart washing machine in 2003, and by 2017, it had launched proprietary software for controlling wind turbines and optimizing gas turbine performance. To bridge the gap between research and industry use of RL, Siemens employed simulations and digital twins, and opted for offline RL to minimize disruptions in real-world systems. The company prioritized transparency and human oversight in its RL solutions, ensuring trust and security in industrial settings. Through its efforts, Siemens has successfully applied RL to reduce delays and energy consumption in German metro trains.