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.
A new breed of fintech firm is promising to make requirements like know-your-customer a breeze.
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.
How companies make sure that customers will pay our invoices promptly and reliably? What is the ideal payment method in European companies?
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.
How is blockchain changing the economy? This infographic shows how business blockchains work, which sectors they are influencing the most and how companies can get started.
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?
Developing one’s own AI solutions requires more than just a good idea and the necessary funds. Rather, three important attributes are needed.
If you take a closer look, you will see that in most cases, artificial intelligence is still in its infancy. But what actually differentiates weak AI from strong AI?
EOS Group national subsidiaries use the knowledge platform to become collectively smarter. The analytics platform will become the AI ‘super brain’ of the EOS Group.
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.
In online retail, even just a handful of data is enough to yield a valid credit score. A research paper by the Frankfurt School of Finance & Management shows how informative our digital footprint can be.
EOS is embracing digitisation: The company is innovating debt collection with its apps, customer platforms and AI systems.
The predictive power of its analytics platform D3 enables EOS to contact each debtor in the most promising way - with convincing results.
EOS is becoming a technology-driven financial investor and international innovation leader: CEO Klaus Engberding on his vision for the Group.
How does data-driven decision making work in receivables management? Pioneering work done at EOS shows the potential of machine learning.
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.
Business customers benefit from EOS' new self-service portal Stargate that helps speed up collection processes. New features are driven by user feedback.