Generative AI

Which IT skills are critical today and will be indispensable tomorrow? In collaboration with Statista, wedecision makers IT recruiters anddecision makers . In this study, discover which IT skills will be in greater demand in the future, where targeted specialization offers real advantages, and how AI is changing job roles.

What skills will be in demand in the future? What new fields of work will emerge? The Zukunftsinstitut has Haufe Akademie these questions for the Haufe Akademie . The research findings will help you identify and understand the jobs and skills of tomorrow, and use that insight to make informed decisions for yourself and your organization.

AI agents are fundamentally changing how companies tackle complex tasks. These intelligent systems work independently, make informed decisions, and optimize business processes without constant human supervision. In this comprehensive guide, you will learn everything you need to know about AI agents, their diverse applications, and proven strategies for successful implementation.

This article provides a clear overview of large language models (LLMs), i.e., AI models that have been trained on huge amounts of text to analyze and generate language. You will learn how LLMs work technically—from tokenization to parameters to the training process—and get practical examples of their use in business. In addition, the article highlights opportunities, challenges, and future developments of this technology in a professional context.

In practice, AI models quickly reach their limits: they know a lot from their training, but without a connection to current data, tools or systems, their answers often remain incomplete or outdated. Anthropic's Model Context Protocol (MCP) fundamentally changes this. As an open standard, it enables AI systems like Claude to directly and securely access relevant information sources and applications, from databases to cloud services. Instead of manually gathering information and copying it into prompts, AI assistants can now access these sources independently. This makes them much more useful for real use cases.