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 reside (IDE or CLI). But that is not the right question. The problem is not generating code. It is the 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 real production and from simulations. The result: models that keep improving while...

The use of AI in business processes is becoming increasingly sophisticated, but how do you ensure 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 using 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 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 is 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 get quick answers to questions about products, policies, 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 evolve in 2025, having an increasingly significant 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 key developments that will shape the future of AI. Below are the...

Artificial intelligence (AI) continues to have a huge impact on how we work and innovate. With O3, OpenAI is introducing 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 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 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 a rapid pace. 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 is opening doors to new possibilities in various sectors...

Developments in the field of artificial intelligence (AI) raise questions about what lies ahead. A recent whitepaper by Leopold Aschenbrenner paints a fascinating picture of the current situation and what might be in store for us. Here are some key insights that will shape the future of AI...

Data naturally plays a crucial role for companies that are digitizing. But as the demand for high quality and large quantities 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, robots in the industry have ensured that simple work can be automated. So far, this has not led to higher unemployment, but the argument is that this is about to change. With the arrival 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, there is integration with CRM to record survey data. This blog post is mainly about the AI...