AI and other ICT news

We are at a turning point in software development. The discussion often centers on 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 merely 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 increasingly sophisticated, but how can you be sure that your AI models truly make reliable predictions? NetCare introduces the AI Simulation Engine: a powerful approach that enables 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 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 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, among others...

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 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 has an increasingly larger impact on our daily lives and business. The main trends in AI show how this technology is reaching new heights. Here we discuss several key developments that will shape the future of AI. Below are the...

Artificial intelligence (AI) continues to make a huge impact on how we work and innovate. OpenAI introduces with 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 public awareness thanks to the breakthrough of OpenAI's chatbot, AI has been evolving silently 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 evolving at breakneck 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 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 await us. Here are some key insights into the future of AI...

Data obviously plays a crucial role for companies that are digitizing. However, as the demand for high-quality and large volumes of data grows, 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 comes into play as a...

For years, robots in industry have ensured that simple work can be automated. This has not so far led to greater unemployment, but that is claimed to 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 to this is training AI using statutes and case law...

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