IT Knowledge in a Nutshell
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While the EU aims to ensure safety and transparency for its citizens through the AI Act, companies are increasingly uncertain about the legal obligations the AI Act imposes on them. One thing is certain: AI has long since become part of everyday business life. We’ll explain how you can use AI in your company in a legally compliant manner, in accordance with the EU AI Act!
Numerous photos are taken every day on a construction site. But as the number of photos grows, so does the effort required: Where was a photo taken? Which project does it belong to? Is the image already in the system? Was the file edited afterward? And will it still be possible to determine later what the image was intended to document?
An employee asks the internal AI assistant about the current vacation policy. The answer sounds convincing—but it’s still wrong. The language model isn’t familiar with the actual company policy; instead, it generates a plausible-sounding response based on its training data. You may be familiar with this exact problem from your own experience.
AI governance establishes a binding framework for the secure, transparent, and legally compliant use of artificial intelligence. It integrates corporate governance, risk management, data protection, IT security, and technical development. As a result, governance becomes a central component of any viable AI strategy.
Within just a few minutes, the balance between generation and consumption shifts—and the power grid comes under strain. For many energy providers, scenes like these have long been part of everyday life. But what does this mean, specifically, for managing an increasingly complex energy system? This is exactly where artificial intelligence comes in.
The open standard makes it possible to connect AI applications to enterprise systems, data sources, APIs, and external tools in a standardized way. This gives language models access to up-to-date information and enables them not only to retrieve data but also to perform actions in various applications.
Just a few years ago, the path to information almost always went through traditional search engines like Google. Users would enter a search term, click on various websites, and compare the information provided there on their own. This search behavior is currently undergoing a fundamental change...
Security in software development is not an optional feature - it is a basic requirement. Nevertheless, practice shows time and again that security vulnerabilities are often only discovered late in the development process or even during operation, which is precisely where Static Application Security Testing - SAST for short - comes in.
In this article, you will find out in which areas AI is already being used in HR today, what advantages it offers and what challenges you should consider when introducing it. We also use specific examples to show how companies are successfully using AI in HR.
In this article, you will find out what AI means in the office, what advantages it offers and in which areas it can already be used today. We also show you what you should look out for when using AI and how you can get started working with AI-supported tools step by step.
Applications such as ChatGPT, Gemini or other AI-supported systems deliver texts, evaluations, concepts or code within a few seconds. But in practice, it quickly becomes clear that the quality of the results is no coincidence. It largely depends on how precise and structured you formulate your query.
Artificial intelligence has long since arrived in everyday business life. Whether automated processes, intelligent analyses or generative AI - the potential applications are growing rapidly. At the same time, however, the requirements for data protection, transparency and legal security are also increasing. This is precisely where the topic of AI compliance comes into play.
Artificial intelligence is changing the way companies work. AI systems support the analysis of large amounts of data, automate recurring tasks and enable new digital business models. However, the use of AI not only brings efficiency gains, but also new security-related challenges.
Have you ever wondered why smartphones now recognize faces, why cars can drive themselves or why chatbots seem more and more natural? Behind many of these small technical wonders is deep learning - a kind of "brain" for modern AI systems.
Perhaps you know the feeling: you open Netflix and immediately find a series that suits your taste perfectly. Or your smartphone sorts your photos so cleverly that you can find certain moments with just one tap. You might be thinking: "That's pretty handy." And that's exactly what machine learning is all about.
Digitalization is no longer a foreign concept in public administration - and yet many processes still feel like they used to: piles of paper on desks, duplicate data entry, long processing times. At the same time, citizens expect fast, digital services - preferably around the clock. This is exactly where artificial intelligence (AI) can make a real difference.
Artificial intelligence is no longer a topic for the future - it is already changing the way we work, communicate and make decisions. There are now a whole host of tools available, making the choice increasingly complex. But which model is best for which task?
Everyone is talking about it, but do you know what's behind it? What exactly is artificial intelligence? We want to answer this question today. First of all, the topic is extensive, so you'd better grab a coffee!