Beliebte Beiträge aus der Kategorie: Agentic AI

The art of prompt engineering lies in formulating precise and effective instructions or questions to get the desired results from artificial intelligence. In other words, it's about crafting text and content so the AI achieves the best possible results. A key term here is "prompt", which refers to the text-based command input used with large language models, chatbots or text-to-image models.

Where it's feasible and makes sense, machines already take over simple, monotonous tasks in companies. Conversational AI and generative AI cover a broader range of technologies and approaches to enable natural conversations with users. Future-oriented companies no longer need to ask whether to invest in chatbots – the question is rather: can I afford not to? In this article, we show you what's behind the technology and how you can use it for your company.

Studies of the future, such as the one by Klarna, a global payments and shopping provider, make it clear that retailers need to adapt their offering to win new buyers in the future. Particularly interesting are forward-looking forecasts from some of the world's leading retailers and from ChatGPT, the AI chatbot developed by OpenAI. The study looked at shopping habits 18 years from now, when Gen Z turns 40.

The EU AI Act is meant to answer questions about ethics, transparency and accountability in AI. We explain what the AI Act covers, which risk classes there are and what that means for companies.

AI chatbots in schools and universities automate administrative processes such as enrollment, course selection, deadline reminders and support, reduce tickets and waiting times, and improve service through 24/7 self-service, integrations (LMS/SIS) and proactive campus support. At the same time, they strengthen learning and engagement with AI tutoring, adaptive learning paths, learning analytics and accessible, GDPR-compliant dialogs – including governance, audit logs and clear escalation paths.

How intelligent are AI agents really? The article explains the differences between strong and weak AI, shows practical applications of modern AI agents – and why today they are specialized problem solvers, not human generalists.

AI agents automate your customer service: returns, invoices and status requests – fast, consistent and GDPR-compliant. A practical guide with use cases, risks, KPIs and a 12-week launch plan.

When an AI agent shops on your customer's behalf, it's no longer your shop design that decides the sale but your product data. This article shows how agentic commerce works technically in 2026, which four protocols shape the market and how to prepare your shop.

When does an AI agent really pay off? The answer depends on ticket volume, handling time and hourly rate. With a rule of thumb, an interactive calculator and industry benchmarks for mid-sized companies in the DACH region.