Before companies introduce generative AI, they should ask themselves a few questions to ensure that the new services do not jeopardize data protection and data security. Forcepoint reveals what these questions are.

In recent years, complex international supply chains and disrupted trade flows have repeatedly presented the economy with serious challenges.

Agentic RAG is a state-of-the-art AI framework designed to improve the accuracy and reliability of generated content by using intelligent agents to retrieve, verify and synthesize information.

Last year, German companies were unimpressed by the security risks of ChatGPT and the like. They trusted the promising Generative AI applications (GenAI) and their advantages unconditionally.

Artificial intelligence (AI) opens up new opportunities for companies to save resources. In Germany alone, 27% of the companies surveyed already use AI in their workflows and business processes.

No matter who you ask, there is rarely so much consensus in the business world as when it comes to the relevance of Generative Artificial Intelligence (GenAI). It will significantly shape the future of all companies.

In the modern working world, data and algorithms often have a sober reputation. They appear abstract and mechanical, far removed from the human dimension that plays a central role in personnel development.

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