The SAS portfolio for machine learning application scenarios
For a few years now, companies have been observing machine learning with great attention and a growing level of interest. It's no wonder because massive flows of data are produced in a networked world, which cannot however be analyzed using conventional approaches. Machine learning can do this - and more: the smart algorithms are continuously learning and produce ever more precise results.
In our MHPpitstop „Machine Learning with SAS“ we will familiarize you with the machine learning approach based on a practical example. We will also demonstrate how you can successfully introduce machine learning scenarios at your company with solutions from SAS and implement entirely new business cases.
This MHPpitstop will be concerned with the following themes, among others:
- Machine learning: What it is and what it can do
- Practical example: Machine learning scenarios
- SAS portfolio: What the solutions can do
- Implementation: How machine learning can be operationalized
Dr. Ramin Norousi
Manager | Customer Experience Management
Beginn: 11:00 (CEST)
Ende: 11:30 (CEST)