Everyone is talking about generative AI: More and more people are using it, more and more experts are raising a warning finger.
Those responsible in industrial companies are also asking themselves where and how they can use ChatGPT-like technologies sensibly.
Robots have been an integral part of the working world for decades.
In industrial assembly, for example, "cobots" are on the move as driverless transport systems in logistics, stacking heavy boxes or welding workpieces together in production.
According to the Flashpoint 2024 Global Threat Intelligence Report, hackers stole an almost unbelievable amount of information in 2023 alone: 17 billion pieces of personal data were compromised. This is four times more than in the previous year and affects millions of people.
Digitization in industry is no longer just a buzzword, but an essential strategy for increasing efficiency, reducing costs and increasing competitiveness.
Today's companies are faced with a constantly growing flood of data. In addition, many are struggling with a large number of different monitoring tools in order to get to grips with these volumes of data and prepare them for well-founded decisions.
Many companies view the topic of identity management and administration (IGA) like the referee in soccer: if the referee makes the right decisions, it is hardly rewarded.
When a technology, system or solution is to be successfully transferred from the test or pilot phase to the production environment, there are often difficulties with scaling and performance or even data quality, availability and maintenance.