OpenClaw is making AI agents affordable and accessible to SMEs for the first time.
Jaren lang gold "een goede prompt schrijven" als de belangrijkste vaardigheid voor wie het meeste uit AI wil halen. Dat klopt niet meer. Wat taalmodellen zoals ChatGPT, Claude en Gemini vandaag echt verder helpt, is context.
AI-tools veranderen in hoog tempo de manier waarop websites en applicaties worden gebouwd. Waar je vroeger begon met wireframes, designbestanden en handmatig codewerk, kun je nu simpelweg een idee omschrijven en binnen korte tijd een eerste versie laten genereren. Twee interessante tools in deze ontwikkeling zijn Lovable en Claude Cowork. Beide zijn krachtig, maar als het gaat om het bouwen van websites en applicaties hanteren ze een heel andere aanpak.
How many tokens your employees get to run their AI agents directly determines their productivity. Token packages are the SMS bundles of the AI era — and therefore a crucial HR issue.
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.
In the 10x organization, the metric shifts from hours to impact. Token budgets become the new salary component and agent orchestration the core skill of tomorrow's knowledge worker.
OpenClaw is the fastest-growing open-source AI agent in the world, but serious security vulnerabilities make it unsuitable for everyday use.
The way consumers find and buy products is fundamentally changing. Where e-commerce has been about visibility, branding and conversion optimization for years, the focus is now shifting to something else: decisions made by AI Agents.
A question we often get is: “If I start using AI in my business now, will I be more successful than my competitor?” The answer to this is both yes and no.
Multicollinearity is a statistical concept that appears regularly in AI and machine learning models and can lead to biased results and interpretations. In this blog, I explain what multicollinearity is, why it can be a problem in predictive models, and how to address it.
Generative AI, such as ChatGPT, Copilot, and other language models, has the potential to significantly simplify your work. But how do you know which tasks you can automate with AI?
You may sometimes ask yourself: what is the great value of generative AI? There is a lot of talk about the enormous possibilities, but what is the reason this will have such an enormous impact on the workplace?
Bayesiaanse statistiek is essentieel voor het begrijpen van generatieve AI. Deze statistische methode helpt ons inzicht te krijgen in hoe AI-modellen, zoals taalgeneratoren, werken en betrouwbare resultaten produceren.
The rise of generative AI has led to a widespread misconception: that technology will make us obsolete as humans. Nothing could be further from the truth. While AI is becoming increasingly advanced, human knowledge and expertise remains crucial to effectively utilize this technology.
Many companies look at their competitors with wonder and wonder why one company is much further along with AI than another. What makes some organizations embrace AI more quickly? While AI is often seen as a technological decision, the key driver for this adoption is surprisingly simple: economic necessity.
In recent years, collecting as much data as possible has been the norm for companies. The idea was simple: the more data, the better. But this “collecting frenzy” has meant that many companies have now stored mountains of data without knowing exactly what that data is worth.
Companies need to develop their compute power strategy now to stay competitive in the future, as access to advanced computing power becomes essential for success in the AI-driven economy.
Vind jij de recente metamorfose van Mark Zuckerberg - zijn "tech bro glow-up"- authentiek? Hoe meer bedrijven AI inzetten, des te meer authenticiteit een onderscheidende waarde wordt. Consumenten verlangen naar echtheid, vooral in een wereld die steeds meer geautomatiseerd wordt.
De AI Hackathon van ai.nl en The Automation Group helpt bedrijven in één dag van een idee naar een AI concept te gaan door bestaande technologieën slim toe te passen voor procesoptimalisatie.
The Automation Group is looking for an ambitious AI developer to build applications based on Large Language Models such as GPT and Retrieval Augmented Generation.
Writing Sinterklaas poems takes young parents a lot of time, this AI helper offers the solution.
Discover how, with the launch of their renewed website, AI.nl is positioning itself as the leading force in AI transformation in the Netherlands.
Ontdek hoe Schiphol streeft naar 's werelds eerste autonome luchthaven met innovaties zoals het "Deep Turnaround systeem".
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