Vo veci bezpečnosti údajov toho treba urobiť ešte veľa. Podľa štúdie EOS je pre top manažérov v európskych firmách kybernetická bezpečnosť predsa len aktuálnou témou.
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.
Umelá inteligencia (AI) mnohé pracovné miesta nenahradí, ale spraví ich zaujímavejšími – pričom prevezme rutinné úlohy človeka. Kľúč k úspechu AI: Vylepšené databázy.
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.
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 robot as a colleague? Even though Pacioli is not quite as tangible, the results from the software certainly are. What robotic process automation is all about and how it can reduce a team’s workload.
Nie je to len o technológii, ale o ľuďoch, ktorí rozvíjajú myslenie založené na údajoch, vysvetľuje tím analytického strediska
If you work in a rapidly changing market your business software needs to keep up with the pace – as do the people using it.