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1. Internet of Things  
… Projekt zur nachhaltigen…  
2. Product configuration  
… Zum anderen muss die Software in…  
3. Data Hub company reporting  
… comprehensible decisions…  
4. Machine learning adapted process model  
Download now: Our guide to the customized process model for the successful use of machine learning Machine learning is the technology of the future and can generate active added value from your data that goes beyond traditional data  
5. Most common mistakes in predictive maintenance projects  
Sprungmarke Anfang   These are the most common mistakes in predictive maintenance projects Predictive maintenance projects are often highly complex and have many dependencies. There are certain pitfalls you need to look out for during a  
6. Amazon Web Services vs. Microsoft Azure  
Which cloud platform is the right one for your use case? You’ve decided that you want to solve your use case using cloud technologies and are confident that the best service for this purpose is FaaS (Function as a Service). You’re  
7. Individual use of machine learning in the cloud  
Sprungmarke Anfang   Is machine learning in the cloud suitable for my use case? Among other things, machine learning can be used to reduce maintenance costs, predict human behaviour and minimize downtimes of production systems - the keyword  
8. Decision support for intelligent remote maintenance  
Cross-site collaboration is becoming increasingly relevant - and the pandemic is also reinforcing this development. For this reason, more and more companies are turning to remote maintenance solutions. Remote maintenance means that work is carried  
9. Guide to successful data visualization  
… easily, comprehensively and…  
10. Template for data products  
Sprungmarke Anfang   Your template for data products will make you successful through sustainable data use For some time now, data has been referred to as the "oil of the 21st century". This is an apt comparison since data