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Knowledge - Success Stories - Whitepaper

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.

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KI-Roboter
Blog
What is artificial intelligence? - Definition, history, future and examples

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!

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Roboter vor Daten
Blog
Artificial intelligence consulting: What makes efficient AI strategies for companies?

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.

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Roboter vor einem PC
Blog
Artificial intelligence for companies - an overview

Artificial intelligence (AI) is changing the global economy and German companies are also facing the challenge of optimizing processes with AI. Studies show what has long been clear to everyone: AI tools are on the rise!

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Ki Roboter
Interview
Why good data is more important than fancy models

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.

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Interview
From data strategy to AI maturity - what companies really need before they get started

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.

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