AI and Other IT News

We are at a turning point in software development. The discussion often revolves around which AI writes the best code (Claude vs. ChatGPT) or where that AI should reside (IDE or CLI). But that is the wrong discussion. The real issue is not code generation. The real issue is the...

Continuous learning for better predictions TL;DRReinforcement Learning (RL) is a powerful way to build models that learn by doing. Instead of just fitting historical data, RL optimizes decisions through rewards and feedback loops—from real production and from simulations. The result: models that keep improving while...

The deployment of AI in business processes is becoming increasingly sophisticated, but how can you be sure that your AI models are making truly reliable predictions? NetCare introduces the AI Simulation Engine: a powerful approach that allows organizations to validate their forecasts against historical data. This way, you know in advance whether your AI models are ready...

With the rise of AI search technology such as ChatGPT, Perplexity, and Google’s AI Overviews, the way people find information online is fundamentally changing. Traditional search engines display a list of links. AI search engines provide the answer directly. This has major implications for creating, maintaining, and positioning websites. 🤖From click machine to knowledge source The classic website...

The application of artificial intelligence (AI) is growing rapidly and is becoming increasingly interwoven with our daily lives and high-stakes industries such as healthcare, telecom, and energy. But with great power comes great responsibility: AI systems sometimes make mistakes or provide uncertain answers that can have major consequences. MIT’s Themis AI, co-developed...

Do you want colleagues to get quick answers to questions about Products, policies, IT, processes, or customers? Then an internal knowledge system with its own chatbot is ideal. Thanks to Retrieval-Augmented Generation (RAG), such a system is smarter than ever: employees ask questions in plain language and the chatbot searches directly within your own...

Artificial Intelligence (AI) has fundamentally changed the way we program. Read about the pros and cons of AI coding Agents

Artificial Intelligence (AI) continues to evolve in 2025 and is having an ever-increasing impact on our daily lives and business operations. The key AI trends show how this technology is reaching new heights. Here, we discuss some core developments that will shape the future of AI. Below are the...

Artificial Intelligence (AI) continues to have an enormous impact on how we work and innovate. With O3, OpenAI is introducing groundbreaking new technology that enables organizations to operate smarter, faster, and more efficiently. What does this advancement mean for your organization, and how can you leverage this technology? Read more...

The future of organizations lies in digital twins: Transform with artificial intelligence and strengthen sectors such as healthcare and finance. Artificial Intelligence (AI) is more than just ChatGPT. Although 2023 brought AI into the public consciousness thanks to the breakthrough of OpenAI's chatbot, AI has been evolving quietly for decades, waiting...

Faster, Smarter, and More Sustainable In the world of software development, outdated code can be a barrier to innovation and growth. Legacy code is often built up from decades of patches, workarounds, and updates that were once functional but are now difficult to maintain. Fortunately, there is a new player that can help development teams...

The world of generative AI (GenAI) is developing at lightning speed. Where we once only dreamed of technology that could match human creativity, today we see applications that surprise and inspire us. From text generation to artificial image and video production: GenAI opens doors to new possibilities across diverse sectors,...

Developments in artificial intelligence (AI) raise questions about what lies ahead. A recent white paper by Leopold Aschenbrenner paints a fascinating picture of the current situation and what may await us. Here are some key insights shaping the future of AI...

Data naturally plays a crucial role for companies undergoing digitalization. However, as the demand for high-quality and large volumes of data increases, we often encounter challenges such as privacy restrictions and a lack of sufficient data for specialized tasks. This is where the concept of synthetic data emerges as a...

For years, industrial robots have enabled the automation of simple tasks. So far, this has not led to higher unemployment, but the argument is that this is about to change. With the advent of drones and self-driving cars, the entire transport sector, police, and military will also become robotized. At the same time...

In the world of artificial intelligence, one of the greatest challenges is developing AI systems that are not only intelligent but also act according to ethical norms and values that align with those of humans. One approach to this is training AI using legal codes and case law...

For a larger project at Essent, we built, among other things, an artificial intelligence robot. The project involves integrating (live) chat via the website with both employees and an AI robot. Additionally, there is integration with CRM to capture survey data. This blog post is mainly about the AI...