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 run (IDE or CLI). But that is not the right question. The problem is not generating code. It is validating it...

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—from real production environments as well as simulations. The result: models that continue to improve while...

The use of AI in business processes is becoming increasingly advanced, but how can you be sure that your AI models are making truly reliable predictions? Fortis AI introduces the AI Simulation Engine: a powerful approach that enables organizations to validate their forecasts using historical data. This allows you to determine in advance whether your AI models...

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 use of artificial intelligence (AI) is growing rapidly and becoming increasingly integrated into our daily lives and high-stakes industries such as healthcare, telecommunications, and energy. But with great power comes great responsibility: AI systems sometimes make mistakes or provide uncertain answers that can have serious consequences. MIT’s Themis AI, co...

Would you like 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 immediately searches 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) will continue to develop in 2025 and have an ever-greater 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 several key developments that will shape the future of AI. Below are the...

Artificial intelligence (AI) continues to have a tremendous impact on how we work and innovate. With O3, OpenAI is introducing groundbreaking new technology that enables businesses to operate more intelligently, quickly, and efficiently. What does this advancement mean for your organization, and how can you take advantage of 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 about 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 hinder innovation and growth. Legacy code is often built on decades of patches, workarounds, and updates that were once functional but are now difficult to maintain. Fortunately, a new player has emerged that can help development teams...

The world of generative AI (genAI) is developing at a rapid pace. While we once only dreamed of technology capable of matching human creativity, today we are seeing applications that surprise and inspire us. From text generation to AI-powered image and video production, genAI is opening doors to new possibilities across a wide range of 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 may be in store for us. Here are some key insights into the future of AI...

Data naturally plays a crucial role for companies undergoing digital transformation. However, as the demand for high-quality data in large quantities 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 industry have made it possible to automate simple tasks. 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, as well as the police and the military, will also become automated. 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 standards and values aligned with those of humans. One approach is to train AI using legal codes and case law...

For a larger project at Essent, among other things, we built an artificial intelligence robot. The project involved integrating live chat via the website with both employees and an AI robot. It also included CRM integration to record survey data. This short blog post focuses mainly on the AI...