Your phone rings. “With Eline from the bank,” a calm voice sounds. There's a problem with your account and she's asking for your details. It feels reliable — but it isn't. “Eline” does not exist. It's an AI voice, created in less than a minute. Unfortunately, this is becoming more and more common.

An investor let AI manage his email, calendar, and relationships — and never wants to go back to a human assistant.

There's a popular narrative in tech right now that goes something like this: AI will replace everything. SaaS is dead. Traditional software is on its way out. The future belongs entirely to probabilistic reasoning and large language models.

OpenClaw is making AI agents affordable and accessible to SMEs for the first time.

AI tools are rapidly changing the way websites and applications are built. Where you used to start with wireframes, design files and manual code work, you can now simply describe an idea and have a first version generated within a short time. Two interesting tools in this development are Lovable and Claude Cowork. Both are powerful, but when it comes to building websites and applications, they take a very different approach.

Agentic AI isn't always necessarily more efficient than human work. Sometimes AI can be even more expensive, especially when organizations use heavy models for simple tasks without clear choices. And just now that AI is being built into more and more business processes, that is becoming a fundamental issue.

Without a shared layer of knowledge that both people and agents can access, Agentic AI remains an empty promise.

For years, “writing a good prompt” was the most important skill for those who want to get the most out of AI. That is no longer true. What really helps language models like ChatGPT, Claude, and Gemini today is context.

Organizations have wanted to be able to predict the future better for decades. Traditionally, this challenge has been addressed with predictive models and machine learning. These techniques are powerful, but they also have clear limitations. With the rise of generative AI and so-called reasoning agents, a new approach is now emerging that could potentially have a major impact on how organizations make predictions.

Many organizations want to use AI Agents to accelerate processes, reduce costs and make employees more productive. But before adding AI to your operation, you need to answer one fundamental question: Is this process probabilistic or deterministic? That sounds technical, but in practice, it is a strategic choice that determines whether AI creates value or introduces risk.

The discussion about artificial intelligence (AI) is taking a remarkable turn. Technology company Anthropic is concerned about the well-being of their AI chatbots. After all, the models seem to be taking over more and more human properties. But should we really care about the “feel” of an algorithm?

The rise of AI Agents is causing major changes in the IT world. Microsoft CEO Satya Nadella recently expressed the expectation that the introduction of AI agents might mark the end of Software as a Service (SaaS). But how realistic is this prediction? In a recent interview with OutSystems CEO Paulo Rosado, he was asked the question and we talked about how companies will deal with software in the future.

As early as the 1970s, Toffler predicted that success in a rapidly changing future would depend on how much we can let go of old ideas and embrace new knowledge. In the current era, where artificial intelligence (AI) plays an increasingly important role, we are seeing this prediction come true.

Met de lancering van DeepSeek, een open-source taalmodel dat AI toegankelijker moet maken, laait de discussie rondom de Jevons Paradox weer op. Deze paradox stelt dat wanneer de ‘brandstof’ voor een technologie goedkoper wordt, het gebruik juist groeit. Maar is dat echt de crux bij AI-adoptie binnen bedrijven?

In onze gesprekken met diverse bedrijven merken we een opvallende trend: een overmatige focus op hypothetische scenario's.Hoewel het belangrijk is om strategisch na te denken, kan te veel nadenken over wat er zou kunnen gebeuren, een belemmering vormen voor daadwerkelijke vooruitgang. Uiteindelijk moet je gewoon beginnen.

Ontdek hoe Schiphol streeft naar 's werelds eerste autonome luchthaven met innovaties zoals het "Deep Turnaround systeem".

Empathie.ai: de innovatieve AI-tool ontworpen door experts om zakelijke communicatie in Nederland te transformeren.