Technologies such as GenAI are fundamentally changing the world of work and HR departments are faced with the question of how they can use GenAI optimally in their work in order to derive maximum benefit from the technology.

A major challenge in AI development is the effort required to obtain and label real-world data. A 2023 Gartner survey identified data availability as one of the top five barriers to implementing generative AI. Synthetic data can help address this issue.

While Apple Intelligence opens up exciting new possibilities, the new developments also raise concerns among users and technology experts.

Since the release of ChatGPT, cybersecurity experts have been wondering how to control the falsification of GenAI. They initially assumed a threat scenario, namely that the output of GenAI is already being distorted by data poisoning.

Everyone is talking about generative AI: More and more people are using it, more and more experts are raising a warning finger. Those responsible in industrial companies are also asking themselves where and how they can use ChatGPT-like technologies sensibly.

Data-Centric AI (DCAI) represents a pioneering approach in AI by focusing on the quality and relevance of data to optimize machine learning models and system performance.

Google fires the next AI salvo: The Gemini model is set to outdo Microsoft, Amazon & Co. But how does the Group plan to monetize it? The battle between the tech giants is coming to a head. An interview with Dr. Thomas Thiele, Principal in the Innovation Practice at Arthur D. Little.

"Mac vs. PC" was once a big rivalry in the tech industry. Then Apple switched to chips developed in-house - and overtook Windows PCs. Microsoft is now planning a comeback with AI. What does the new vision look like?