The interview series with employees of the dataglobal Group
Tell us a bit about your career. How did you get into the field of data analytics and development?
I first came into contact with data analytics and AI during my studies in “Management and Technology” at the Technical University of Munich. I came fully into contact with the topic of data analytics at a previous job in a large corporation, where I was able to experience how important it is to obtain reliable information from the growing amount of available data. The topic of artificial intelligence has also stayed with me ever since. At dataglobal Munich, I was responsible for our extended reporting solutions right from the start. These are Power BI evaluations that we offer our customers in addition to our resource management products. With the increasing focus on generative AI, the topic of artificial intelligence has moved even more into the spotlight. I am therefore all the more pleased to be able to work with my colleagues on how we can integrate AI into our products in a meaningful and customer-oriented way.
What does your typical working day look like?
My working day starts with our daily meeting, where we discuss current development topics and support cases as a team. I then dedicate myself to development tasks, exchange ideas with colleagues or support and advise customers on our extended reporting solutions. Technological research and tasks as part of my role as a change agent are also regularly part of my day-to-day work.
What was the last project you worked on that particularly challenged or inspired you?
I find the integration of AI into our products particularly inspiring. We are working intensively on how we can use generative AI in such a way that it creates real added value for our customers. As the topic is so new and dynamic, there are always new, exciting use cases to explore, such as AI-supported product wikis, support chatbots or the development of an AI assistant that allows our resource management solutions to be used simply by voice or text input.
You are currently working on the AI assistant in our resource management solution – how did this come about? What was the trigger for the project?
How can we use this technology to offer our customers real benefits? An early prototype of a support bot showed potential, but was not yet “smart” enough. This gave rise to the idea of an assistant that could not only provide general information, but also take on specific tasks in our solutions, such as providing booking information or directly booking resources such as workstations. Our vision: a solution that is so intuitive to use that users can simply talk or chat with it, for example on their way to work.
What further developments or new use cases do you see for the AI assistant in our solution?
We are currently working on making the AI assistant production-ready for all core processes of our resource management solutions. We have already made particularly good progress with the desk sharing solution, but there is still a lot to do. We see great potential in the long term: users will soon be able to easily book workstations, parking spaces or meeting rooms by voice or chat, find out which colleagues are in the office with them today and no longer have to search the product wikis for a solution themselves when they have questions about the application. AI could also make the administration of our solutions much easier in future, for example when setting up new room or parking space plans.
Thank you very much for the interview, Michael!
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