AI and other IT news

We are at an inflection point in software development. The discussion often focuses on 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 merely fitting historical data, RL optimizes decisions through rewards and feedback loops—both 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 your AI models really make 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 like 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. That 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 embedded in our daily lives and in high-stakes industries such as healthcare, telecom and energy. But with great power comes great responsibility: AI systems sometimes make mistakes or give uncertain answers that can have serious consequences. MIT’s Themis AI, co...

Do you want colleagues to get quick answers to questions about Products, policy, 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 natural language and the chatbot searches directly in your own...

Artificial intelligence (AI) has fundamentally changed the way we program. Read about the advantages and disadvantages of AI coding agents

Artificial Intelligence (AI) continues to evolve in 2025 and is having an increasingly large impact on our daily lives and on business. The key 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 have a huge impact on how we work and innovate. OpenAI introduces O3, a groundbreaking new technology that enables companies to operate smarter, faster, and more efficiently. What does this advancement mean for your organization, and how can you leverage this technology? Read on...

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 OpenAI's chatbot breakthrough, AI has been evolving quietly 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 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 opens doors to new possibilities across diverse sectors,...

Developments in 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 may await us. Here are some key insights that could shape the future of AI...

Data obviously plays a crucial role for companies that are digitizing. But while demand for high-quality and large volumes of data is increasing, 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 industry have allowed simple tasks to be automated. So far that has not led to higher unemployment, but the claim is that this will change. With the arrival 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 biggest challenges is developing AI systems that are not only intelligent but also act according to ethical norms and values consistent with those of humans. One approach is to train AI using statutes and case law...

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