Our guidelines for the adapted process model
Our guidelines for the adapted process model
Machine learning - using the technology of the future sensibly for your company
Machine learning processes can generate active added value from your data that goes beyond the classic data analysis phase. The more data you have, the more potential there is to generate added value for your customers and your company. However, the technology is complex and requires technological and methodological expertise in order to be able to use it appropriately for your own use case.
Using machine learning successfully - with the guide for the customized process model
Machine learning projects have additional challenges as they are primarily more complex. Our process model therefore pays particular attention to modeling and ensures that resources are used sensibly (agile, fast to MVP, fail fast, etc.).
With the adapted process model, we guide you safely through the minefield of pitfalls and risks of such projects - for the successful completion of your machine learning project. We offer a structured approach to identify the use cases that make business sense from the multitude of possible applications in a cost-effective manner.
Download the guideline adapted procedure model here: