In fiscal 2019/20, EOS continued to step up its activities as a globally operating financial investor. The use of modern technology is the driver of success.
At EOS partner company Svea Finans, a debt collection service provider in Norway, customer service personnel are working with an AI system that helps them make the right decisions when talking to defaulting payers.
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.
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?
In matters of data security there’s still work to do. An EOS survey shows that top decision-makers in European firms see cyber security as a trending issue.
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?
Artificial intelligence (AI) will not do away with a lot of jobs but make them more interesting by taking over routine tasks. The key to success: clean databases.
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?
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.
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.
It’s not just about technology, it’s about people developing a data-driven mindset, the Center of Analytics team explains
If you work in a rapidly changing market your business software needs to keep up with the pace – as do the people using it.