AI and other ICT news

We are at a turning point in software development. The discussion is often about which AI writes the best code (Claude vs. ChatGPT) or where that AI should live (IDE or CLI). But that is not the right question. The problem is not generating code. It is validation...

Continuous learning for better predictions TL;DR Reinforcement 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 actual production and simulations. The result: models that keep improving while...

The deployment of AI in business processes is becoming increasingly advanced, but how do you ensure that your AI models make truly reliable predictions? NetCare introduces the AI Simulation Engine: a powerful approach that allows organizations to validate their forecasts using historical data. This lets 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, how people find information online is fundamentally changing. Traditional search engines show a list of links. AI search engines provide the answer directly. This has major consequences 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 becoming increasingly intertwined 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-...

Do you want colleagues to quickly get answers to questions about products, policy, IT, processes, or customers? Then an internal knowledge system with a custom 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 develop further in 2025 and has an increasingly large impact on our daily lives and the business world. The most important trends in AI 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 make a massive impact on how we work and innovate. With O3, OpenAI introduces a groundbreaking new technology that enables companies to operate smarter, faster, and more efficiently. What does this progress mean for your organization, and how can you leverage this technology? Read more...

The future of organizations consists of 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 quietly evolving for decades, waiting...

Faster, Smarter, and More Sustainable In the world of software development, outdated code can be an obstacle 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 assist development teams...

The world of generative AI (genAI) is developing at a rapid pace. Where we once only dreamed of technology that could rival 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 in various sectors,...

Developments in the field of 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 obviously plays a crucial role in companies that are digitizing. But while the demand for high quality and large amounts 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 automated simple work. So far, this has not led to higher unemployment, but the claim is that this is going to change. With the advent of drones and self-driving cars, the entire transport sector, police, and military will also be robotized. At the same time...

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

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