With more than 30 years of experience in consulting, we want to shape the future together with you. We feel particularly at home in the insurance and public service sectors. But small and medium-sized companies also benefit from our expertise and professionalism.
Quality, passion and competence characterize the work of our employees in all areas of the company.
Digitalization is no longer a foreign concept in public administration - and yet many processes still feel like they used to: piles of paper on desks, duplicate data entry, long processing times. At the same time, citizens expect fast, digital services - preferably around the clock. This is exactly where artificial intelligence (AI) can make a real difference.
Artificial intelligence is no longer a topic for the future - it is already changing the way we work, communicate and make decisions. There are now a whole host of tools available, making the choice increasingly complex. But which model is best for which task?
Everyone is talking about it, but do you know what's behind it? What exactly is artificial intelligence? We want to answer this question today. First of all, the topic is extensive, so you'd better grab a coffee!
AI but how? This is exactly where our professional AI consulting comes in: It creates clarity in the technology jungle, identifies potential and supports companies from the initial idea through to implementation.
Künstliche Intelligenz (KI) verändert die globale Wirtschaft und auch deutsche Unternehmen stehen vor der Herausforderung, Prozesse mit KI zu optimieren. Studien zeigen, was jedem längst klar ist: KI-Tools sind auf dem Vormarsch!
Patrick Dylong, Data Scientist at FIDA Software and Associate Researcher at the University of Jena, explains in an interview why high-quality data is the real foundation of successful AI projects. He talks about typical data problems in practice, the hype surrounding complex models - and what really counts if AI is to work in a company.
In this interview, Dr. Gillian Kant, Senior Data Scientist at Finanz-DATA GmbH and based at Georg-August-Universität Göttingen, provides insights into the key steps on the path from a well-thought-out data strategy to company-wide AI maturity. He talks about specific practical examples, typical challenges and success factors for data-driven organizations.
European AI Regulation: mandatory training for companies. We explain what you need to look out for in your company when dealing with AI and which regulations apply!