We regularly write articles about AI, technological developments and news about NetCare. If you want to stay informed, you can subscribe to our blog at the bottom of the page.
We regularly write articles about AI, technological developments and news about NetCare. If you want to stay informed, you can subscribe to our blog at the bottom of the page.

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 those are not the right questions. The problem is not generating code. It is validation...

Continual learning for better predictions TL;DR Reinforcement Learning (RL) is a powerful way to build models that learn by doing. Instead of just fitting to 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 ever more sophisticated, but how can you be sure your AI models are truly making reliable predictions? NetCare introduces the AI Simulation Engine: a powerful approach that allows organisations to validate their forecasts using historical data. That way you know in advance whether your AI models are ready...

With the rise of AI search technologies such as ChatGPT, Perplexity and Google’s AI Overviews, the way people find information online is changing fundamentally. Traditional search engines show a list of links. AI search engines provide the answer directly. That 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 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 significant 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 pros and cons of AI coding agents

Artificial Intelligence (AI) continues to evolve in 2025 and is having an increasingly significant impact on our daily lives and on business. The main 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 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 may be in store for us. Here are some key insights that will shape the future of AI...

Data clearly plays a crucial role for companies undergoing digitization. But while the demand for high-quality and large volumes of data is increasing, we often encounter challenges such as privacy constraints 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 automated simple tasks. 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 transportation 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 that align with those of humans. One approach is training AI using legal codes 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, as well as integration with CRM to capture survey data. This little blog post focuses mainly on the AI...