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.
Digitalization insufficient: Over half of European companies rate themselves poorly. This is shown by the EOS survey “European Payment Practices” 2019. Where are the weaknesses?
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?
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.
A single software platform for a dozen countries? EOS experts explain how that can work without anyone losing out. The web-based, cloud-ready solution is called Kollecto+.
The predictive power of its analytics platform D3 enables EOS to contact each debtor in the most promising way - with convincing results.
It’s not just about technology, it’s about people developing a data-driven mindset, the Center of Analytics team explains.
A new breed of fintech firm is promising to make requirements like know-your-customer a breeze.
With its new Center of Analytics EOS now has a shared data platform for all its subsidiaries. It analyzes data from all markets and accounts for their regional characteristics.
Disrupt yourself: Google Germanys former CEO Christian Baudis on how companies can survive the challenges of digitsation
Business customers benefit from EOS' new self-service portal Stargate that helps speed up collection processes. New features are driven by user feedback.
If you work in a rapidly changing market your business software needs to keep up with the pace – as do the people using it.
EOS is becoming a technology-driven financial investor and international innovation leader: CEO Klaus Engberding on his vision for the Group.
EOS is embracing digitisation: The company is innovating debt collection with its apps, customer platforms and AI systems.
How does data-driven decision making work in receivables management? Pioneering work done at EOS shows the potential of machine learning.