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

Continuous Learning for Better Predictions TL;DRReinforcement Learning (RL) is a powerful method for building models that learn by doing. Instead of just fitting historical data, RL optimizes decisions through rewards and feedback loops—from real production and simulations. The result: models that continuously improve while...

The deployment of AI in business processes is becoming increasingly sophisticated, but how can you be sure 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 against historical data. This way, you know in advance if 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 give uncertain answers that can have major consequences. MIT’s Themis AI, co-developed...

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 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) will continue to develop in 2025 and will have an ever-increasing impact on our daily lives and business operations. The main AI trends 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 make 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 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 silently for decades, waiting...

Faster, Smarter, and More Sustainable In the world of software development, outdated code can hinder innovation and growth. Legacy code is often built up from decades of patches, workarounds, and updates that were functional at one time 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 lightning 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 various sectors,...

Developments in 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 might await us. Here are some key insights shaping the future of AI...

Data naturally plays a crucial role for companies undergoing digitalization. But as the demand for high-quality, large volumes 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 enabled the automation of simple tasks. So far, this has not led to increased unemployment, but the argument is that this is about to change. With the advent 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 greatest challenges is developing AI systems that are not only intelligent but also act according to ethical norms and values consistent with human ones. One approach to this is training AI using law books and case law...

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