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Data science vs content science

Since the rise of Generative AI tools such as ChatGPT, Bard and Midjourney, the threshold towards using AI has been lowered. An evolution we evidently applaud, since it is our aim to make Generative AI more accessible for companies and, in doing so, help them use Generative AI in optimizing their corporate processes. With the increased access to these tools, we see a paradigm shift occur. In ‘Radar’ a Nexxworks podcast with host Steven Van Belleghem, technology entrepreneur Peter Hinssen addresses this paradigm shift from data science to content science. That’s why we zoom in on what this means and how MbarQ responds to it in this blog.

AI Strategy

AI Implementation

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Generative AI and the labor market: the impact on jobs

Together with the rise of generative AI software, there’s an entire shift in the job market, transforming the HR landscape as we know it. Not only will existing jobs undergo changes in their way of working; but new professions will also emerge. There will be jobs to develop, integrate, and optimize generative AI models within businesses, along with training employees to use these technologies effectively and efficiently.