Agile working helps EOS respond faster to changes on the market. But how do employees and companies best approach the topic? EOS Scrum Master Dirk Hofmann reveals three methods.
Large volumes of data come with a lot of responsibility. The profession of Data Analyst is one of the most interesting lines of work in the big data era.
Werk aan de winkel bij de beveiliging van gegevens. Volgens een EOS-onderzoek is cybersecurity het trendthema bij de topbesluitvormers van Europese bedrijven
How and where do I best address my customers? New AI systems are determining this using insights from behavioral economics. What are the consequences for business?
AI systems invest money, make diagnoses, steer cars and identify wanted persons. But who is liable if AI makes a mistake when carrying out such sensitive tasks?
Data is the fuel that drives many sectors. But how do companies determine the value of their data? EOS has developed a strategy for working this out.
Artificiële intelligentie (AI) vervangt de meeste banen niet maar maakt ze interessanter, het neemt routinehandelingen over. De sleutel tot succes is up-to-date gegevensbestanden bij bedrijven.
Artificial intelligence can identify illness, help in the operating theater and beat world champions at chess. But things do go wrong. So how does AI learn to do the right thing?
Start-ups are unduly idealized, says Klaus Engberding, CEO of the EOS Group: those responsible for a lot of people have to find a point of difference.
The problem with buzzwords like “AI” and “analytics” is that everyone has a different understanding of them. The new EOS Center of Analytics Academy is building a common knowledge base – across national borders.
Het gaat niet enkel om technologie, het gaat om mensen die een data-aangedreven mindset ontwikkelen, vertelt het team van het Analysecentrum
If you work in a rapidly changing market your business software needs to keep up with the pace – as do the people using it.