Artificial intelligence is changing business models and calling on companies to take action. The article highlights the skills gap, explains the obligation to train AI under the EU AI Act and shows why an open mindset and modular learning journeys are crucial for sustainable AI competence.

Artificial intelligence is still causing uncertainty in many companies — yet it offers enormous opportunities. The article shows why managers can be optimistic about the future of AI and how they manage risks wisely, strategically and responsibly.

Billions flow into generative AI, yet only a few companies achieve real ROI. AI-First Leadership shows why success doesn't depend on tools, but on leadership, focus and clear decisions. Learn how companies strategically anchor AI, select scalable use cases, and turn experiments into measurable business impact.

For the first time, the EU AI Act provides clear rules for the use of artificial intelligence in Europe. Companies are faced with the question of which of their AI systems will be allowed in the future, what obligations apply and what role they will play themselves — as providers, deployers, or both. This article provides a compact overview of risk classes, responsibilities and concrete steps with which companies can use AI in a legally compliant, responsible and at the same time innovative way.

The AI hype is over, but many companies are still wondering whether it's worth getting started and what risks really exist. The article shows why common concerns, from ROI to data quality to workplace concerns, are understandable, but they don't have to stand in the way of a well-founded introduction. Find out where AI is already creating real added value today and why now is a good time to start your first projects.

OpenAI and Databricks are combining their strengths and thus changing how companies can use AI in the future. Powerful language models meet a scalable data platform so that generative AI works directly in the Lakehouse. The result: Fewer interfaces, fewer hurdles, more productivity. In the article, you can find out how companies can develop AI applications faster, operate them securely and scale them directly on their own data, and what new opportunities GPT-5 & Co. open up for this purpose.

Artificial intelligence is changing marketing faster than many think. It automates processes, opens up new creative freedom and makes data-driven decisions the standard. But how far has AI actually reached in marketing and where are there real applications today? An overview of technologies, tools, and the new role of executives in AI-driven marketing.

Process automation with AI is changing how companies work. Data, tools and people form an intelligent interplay that redefines efficiency, quality and speed. But successful automation requires more than technology: it's about strategy, collaboration, and trust. Learn how companies use AI effectively and what makes the difference between a pilot project and real success.

Artificial intelligence is not changing our working world overnight, but its effects are already being felt. Roles and business models are shifting, and major technology providers are continuing to expand their position. For companies, this creates both pressure and an enormous opportunity: Anyone who integrates AI at an early stage, communicates transparently with employees and opens up new business areas can actively take advantage of the change and secure competitive advantages in the long term.

AI has long been part of everyday life, but many companies are still hesitating. We talk about the five biggest obstacles — and how to overcome them. This quickly turns your first steps into a real competitive advantage.

Did you know that today, corporate data is often like scattered puzzle pieces in SharePoint, mailboxes & network drives — and AI tools like Copilot can barely do anything with it? In our new article, we'll show you why vector databases are the key to semantic search, which stumbling blocks lurk when using them — and how you can finally unlock the full AI added value in the company with our clever roadmap.

The EU AI Act is the world's first comprehensive AI regulation in force and entails far-reaching obligations for companies. Uncertainties exist primarily due to a lack of standards and unclear requirements for high-risk AI. For SMEs in particular, it is becoming crucial to prepare for deadlines and compliance requirements at an early stage.

Artificial intelligence is not only changing work processes — it is also challenging our corporate culture. If you want to successfully integrate AI into everyday working life, you need more than just technology: you need employees who are willing to learn new things, question routines and help shape change.

Many companies today use data to make decisions. But with the advent of artificial intelligence, requirements and working methods are changing. The blog article shows how you are tackling change.

Vision and practice meet in the AI Village in Hürth. Here, companies not only experience what is possible with AI — they learn how to start concrete projects, build up competencies and develop real solutions.

Generative AI opens up new opportunities, but also poses risks. Read our article to find out how you can use them responsibly.

Learn how to successfully implement AI in your company — from planning to optimization. Our article shows you how to do it.

How the new AI law affects companies and what you need to consider now. Learn how to optimally implement the regulations with a clear AI strategy!