For more than 20 years Sascha has been helping SAS customers and prospects all over Europe to design, customize and proof solutions for SAS Advanced Analytics in industries such as Banking, Insurance, Telecommunication, Retail and others. In his daily work he applies SAS predictive analytics and machine learning to Big Data to make business processes more efficient and more effective in a digital world. Sascha has a PhD in Statistical Climatology from Humboldt-University of Berlin.
Would you trust a car to make a life-or-death decision for you? That’s the kind of question that sits at the heart of AI today. As AI rapidly becomes a part of our everyday lives, from smart assistants to AI agents, it’s easy to get swept up in the excitement.
Machine learning seems to be the new hot topic these days. Everybody's talking about how machines are beating human players in chess, Jeopardy, and now even Go. In the future, artificial intelligence will drive our cars and our jobs will be taken over by robots. There’s a lot of hype,
Machine learning is all about automating the development process for analytical models. One way to extend the use of machine learning is to broaden your library of machine learning algorithms. Another way is to scale your machine learning process by reducing the time required to process machine learning algorithms on
The increasing use of predictive analytics in mission-critical business decisions and operations brings new challenges to the forefront for many of our customers. Throughout the last year I spoke to many customers about their use of predictive analytics and where they see areas of improvement to achieve even more success
