The text on this page was automatically translated and hence may differ from the original. No rights can be derived from this translation.
In addition to more 'traditional' research methods and quantitative models, we use machine learning and AI (artificial intelligence) to provide our clients with the right insights. For example, this includes developing predictive models, automatically recognizing objects in photos, or creating language models that enable computers to 'understand' our language.
Typically, this involves tailor-made solutions: we create a data model (and/or tool) to implement specific strategic advice, or we apply these methods for research purposes.
Our data science & AI solutions
The exponential growth in computing power over the past decades has made it possible to automate more and more tasks that were previously reserved for humans. So far, this mainly concerned hard, mathematically describable challenges. With machine learning and artificial intelligence, computing power can now also be used for more 'human' tasks. Self-learning algorithms are, for instance, used to assess medical images, understand speech, and detect fraud.
Dialogic has access to an extensive collection of machine learning and AI algorithms to tackle complex issues. We are thus capable of deploying state-of-the-art techniques in our research and advisory projects.
The Dutch AI Coalition
Dialogic is a member of AIC4NL (the Dutch AI Coalition). The coalition is a public-private partnership, involving government, businesses, educational and research institutions, and civil society organisations. Its goal is to stimulate, support, and, where necessary, organize Dutch AI activities. It aims to position the Netherlands at the forefront in terms of knowledge and application of AI for prosperity and well-being, while upholding Dutch and European norms and values.
