Everyone is talking about generative AI right now. Still, older forms of artificial intelligence – such as analytical AI – have been part of our daily lives for much longer than you may realise. What exactly is the difference between analytical and generative AI?

Many municipal bodies are still trapped in bureaucratic labyrinths. The solution: AI tools capable of text analysis.

How responsible are AI tools, and what can we do to promote Ethical AI as the standard? In this blog, we will be discussing the regulation of AI processes and ‘AI you can trust’.

As CEO of AI software company Nalantis, I can’t tell you how many times I've been asked about ChatGPT. Remarkably, most questions have a negative connotation. Whether we see it as a threat, whether I myself think AI will make jobs disappear, whether I’m aware of the dangers of chatbots and generative AI?

ChatGPT and its peers write texts, do research and project management, code and even create art. This raises the question: will artificial intelligence, instead of taking over manual labour, make creative and administrative jobs redundant?

What if we were to tell you that AI can also help us realise wonderful goals for the betterment of our society? One of those goals – to which we are happy to contribute – is to harness the power of AI to help students find their dream job.

Black box AI is the result of unsupervised deep learning models, or AI systems that rely entirely on what they learn from data. The black box is a metaphor for systems where input and activities are not visible to users or other parties. All decisions or actions are performed by AI, but the process or methods involved to achieve this cannot be traced.

Drone technology is evolving rapidly. In the Flying Forward 2020 project, Nalantis is one of the seven international partners combining their know-how. With European support, they are investigating the conditions under which autonomous drones - for example for parcel delivery services - can operate in urban environments.

Many Belgians urgently need to sharpen their skills to keep up with the rapid digitalisation of our society and economy. In order to strengthen this awareness and to make available training offerings better known, becomedigital.be was launched.

Cities and municipalities are constantly digitising in order to improve their services. City councils, for example, are live streamed and documents can be searched or requested digitally. The online platform by DocWolves and Nalantis makes these digital documents easier to find.

In the 'war for talent', recruiters increasingly need to distinguish themselves, even already during the selection procedure. At KBC, this gave rise to a new recruitment process in which Nalantis' artificial intelligence for HR was integrated.

Artificial Intelligence is radically changing our world. However, the applications of AI for language and language understanding remain scarce and mostly limited to statistical methods based on machine learning.

Is there anything that AI cannot do? Probably not. But there are thresholds on the road that we can only bridge using the strongest of resources. One of those thresholds is semantics.

Self-driving cars. Hospital robots. Drones that deliver parcels. Seven years ago, a blogpost on this topic would have had all the makings of a dystopian fiction. A futuristic dream or a script for a compelling sci-fi movie.

AI could compose a poem, jot down a tweet or compile an essay. Perhaps it has even written this blog! Who knows?