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?
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.
The EOS survey “European Payment Practices” 2019 shows that only 28 percent of European companies offer digital payment. Will the EU Directive PSD2 create momentum in the market?
Credit card firms and technology giants like Apple and Google are the front runners in mobile payment. But what are the prospects for a European solution?
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?
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.
AI systems can provide a digital coach that supports every phone call in the call center and analyzes conversations. But are both parties more satisfied at the end of the call?
If you work in a rapidly changing market your business software needs to keep up with the pace – as do the people using it.
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.