Dr. Wolfgang Wahlster, Professor of Artificial Intelligence at Saarland University.
Last year, Software AG formed a Scientific Advisory Board to provide it with a scientific perspective on trends – and potential trends - in technology. In this series of blogs, we highlight each Scientific Advisory Board member’s area of expertise and some of his views for the future.
Today, we feature Dr. Wolfgang Wahlster.
"Artificial Intelligence is paving the way for the next generation of software solutions; it is the driver for the second wave of digitalization.
Huge volumes of digital data are analyzed for content through machine learning and condensed into high-value information. With deep learning, image understanding and speech comprehension - based on multi-layer neural networks - have become significantly more reliable, faster and robust.
Real-time deep analysis of data streams now enables immediate recognition of disruptions, malfunctions and threats by cyber criminals. AI turns a human’s interactions with a computer into conversations - and continually improves its understanding of the user’s speech and objectives, becoming a more valuable digital assistant.
As one of the industry partners of the German Research Center for Artificial Intelligence (DKFI), the world’s largest center of excellence for AI, Software AG has access to the latest results in AI research. For that reason, its platforms can be continually updated with the most high-performance AI algorithms.
In ADAMOS, the global alliance of Software AG with leading visionary manufacturers, we have already integrated Software AG’s Digital Business Platform, AI processes for machine learning, data stream analysis, predictive analysis and process automation through softbots (RPA). The standardized markup language PMML ensures the interoperability of self-taught AI models.
The objective of Industry 4.0, which I originally defined back in 2010, would not be achievable without the massive use of AI technologies. The fourth industrial revolution is based on breakthroughs in AI research. It is enabled by the close collaboration of skilled workers with teams of robots that control production through the product being created and cost-effective cyber-physical manufacturing of small batch sizes - thus of personalized products.
It would be a grave mistake to miss out on this AI-driven second wave of digitalization."