Speaker
Description
This talk shows two examples of applied Industrial Artificial Intelligence at Siemens Austria, which are already close to production quality and usage. They cover a broad range of AI techniques including both symbolic and data-driven AI concepts.
Firstly, a cyber-physical production system with co-operating robots, optimal production planning and deductive reasoning for a so-called producibility check where the product steers its production. Secondly, an application with autonomously flying vehicles (drones) with high-resolution cameras and an image analytics algorithm with machine learning for anomaly detection to spot failures on power line systems.
For such state-of-the-art multi-disciplinary applications new job profiles emerge. Talents understanding physics and informatics plus some background in data analytics and statistics are necessary to cope with those challenges.
