Artificial intelligence (AI) uses programming techniques inspired by natural learning. AI enables computer systems to solve problems with accurate data, context, and environment interpretation. Examples: reading text, driving cars, image recognition, and industrial machine control.
Data analytics in particular has become very important for Siemens, because digitalization and IoT environments generate huge volumes of data that no human could ever fully analyze and interpret – but AI is up to the task and therefore allows us to get the most from our data.
More sophisticated AI techniques like deep learning and reinforcement learning have also developed into the cornerstones of industrial AI. They enable programs and machines to find solutions by themselves, which offers a new universe of possibilities for autonomous or collaborative machines.
Siemens has been working in the areas of data analytics and AI for over 30 years and has a proven track record of generating business by successfully applying AI in a variety of industrial contexts.
Siemens strives for technological leadership in fields of technology and innovation that are of overriding importance to the company. These Core Technologies are crucial to long-term success of Siemens and its customers. Experts from the global research department of technology and the various businesses work together here, consolidating the company's R&D activities.