AI technologies are already an integral part of everyday life. AI is often used largely unnoticed in the private sphere in the form of chatbots, autonomous driving aids or voice assistants. However, companies on the other hand could benefit even more from the technical possibilities than is currently the case. Some common application examples are:
Next best action
Route cause analyses
Price Optimisation (dynamic pricing)
Master Data Harmonisation
Customer Life Time Value
In addition, there are a large number of other individual application options that need to be identified in each specific case. Basically, relationships are hidden in the ever more extensive and complex data structures that even an experienced user will either not find at all or only with great expenditure of time. It is important to recognize these potentials, in which new knowledge can be created and effort reduced.
Smart Data Solutions with Microsoft Azure -
Our offer on the Microsoft Azure Marketplace
The identification of meaningful use cases and the short-term review of a possible ROI is one of the central challenges. Our approach is based on a creative, iterative process with the aim of making a potential assessment possible within one week (ideation workshop).
In addition to such an “ideation” workshop, we offer you further entry options with which you can gradually approach the possibilities of data science and AI. We are convinced that the all-encompassing top-down digitalisation strategy does not always have to be the first step. An agile bottom-up approach, taking small steps, leads to success faster and with less risk.