Innovation and artificial intelligence (AI) are inextricably linked. But how can AI actually contribute to innovation?

Intelligentie was ooit een schaars goed. Bedrijven die de beste mensen in dienst hadden of de slimste inzichten wisten te vergaren, konden zich daarmee onderscheiden. Plotseling is ‘intelligentie’ niet langer exclusief, maar algemeen beschikbaar.

AI-stemtechnologie wordt in 2025 zo realistisch en efficiënt dat bedrijven en individuen moeiteloos gesprekken voeren en processen automatiseren met AI-agents die bijna niet van mensen te onderscheiden zijn.

Grok3, Elon Musk’s nieuwste taalmodel, presteert verrassend goed in snelheid, brongebruik en zakelijke toepassingen, maar mist nog enkele functies die ChatGPT wel biedt.

Deep Research in ChatGPT Pro biedt diepgaande analyses en rapporten, waardoor het $200-abonnement verrassend waardevol kan zijn.

AI Agents zijn niet alleen ontworpen om dataproblemen te overbruggen, maar juist ook om nieuwe datakansen te ontsluiten. Niet door simpelweg meer data te verzamelen, maar door data te begrijpen in context en deze te vertalen naar voorspellende inzichten.

Er leeft het idee dat AI ons op termijn zal overtreffen. Dat systemen betere ideeën, sterkere concepten en creatievere oplossingen zullen bedenken dan mensen zelf. En ja, AI kan indrukwekkend veel. Het kan analyseren, combineren, herschrijven en in seconden produceren waar mensen uren over doen. Maar wie de hoogste kwaliteit nastreeft, merkt al snel dat dit beeld niet klopt.

De EU AI Act verplicht organisaties om alle medewerkers die met AI-tools werken aantoonbaar te trainen in AI-geletterdheid.

AI agents are rapidly taking an increasingly active role in decision-making. They advise customers, negotiate prices, plan resources, select candidates, and manage interactions. In many organizations, AI is moving from analysis to acting. But that's where a fundamental problem arises: many AI agents are designed as if they were operating in a world of homogeneous users — people who respond similarly to the same incentives. That world just doesn't exist.

AI Agents are rapidly changing the way organizations work. More and more companies are discovering that processes can be automated, that repetitive tasks disappear and that employees have more time for strategic and creative activities. However, one thing stands out: many organizations immediately resort to the cheese slicing method. They see AI primarily as a means of reducing FTEs and reducing costs. But it is precisely that mindset that causes them to completely miss out on the power of AI.

After two intensive AI trips — one across the United States, including visits to Silicon Valley, and one through China — we take stock. Two countries, two completely different approaches to artificial intelligence. Where Silicon Valley runs on speed, experimentation and entrepreneurship, China shows what is possible if innovation is centrally managed and rolled out on a large scale. Both systems work. But they each follow a different logic — and that is also the lesson for the Netherlands.

Twee jaar geleden waren we al gefascineerd door die brute, hoekige pickup uit sci-fi-land. Nu hebben we ’m zelf gereden — langs de kust van Santa Cruz en dwars door Palo Alto. En ja: de Cybertruck is precies zo polariserend als je denkt.

“What should we do with AI in education?” It's a question we've been hearing more and more from school leaders, administrators and teachers in recent months.

Many organizations immediately fall into the risk-rule reflex when it comes to AI: policies, procedures and references to the EU AI Act. Important, for sure. But AI supervision is more than just rules and risks.

Only 22.7 percent of Dutch companies with ten or more employees used one or more AI technologies in 2024. Although this is a growth of almost nine percentage points compared to 2023 (source: CBS), it still stands out sharply against the speed at which the rest of the world is changing. ‍ The problem isn't in our infrastructure or a lack of talent; it's a lack of urgency. We see that brake on two levels.

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".