adesso Blog

The motivation for IT managers to operate applications, or "workloads", in the cloud is always commonly debated. On the plus side, aspects such as the elimination of the administration of infrastructure components, the possibility of scaling under load or the reduction of operating costs are often mentioned.

Lots of people still have reservations when it comes to transitioning to the cloud, especially when the conversation turns to the issue of data security. Complete transparency is an important promise that Microsoft makes to its customers, which is a crucial milestone in the right direction towards building a meaningful position of trust. In my blog post, I would like to give you an overview of the current efforts that Microsoft is making with regard to its cloud.

The business use of artificial intelligence is booming. Technology is already outperforming humans in certain tasks. Think, for example, of diagnosing diseases or reporting news. However, there are a number of ethical risks associated with the use of these kinds of smart autonomous systems. I would like to elaborate on that here.

Artificial Intelligence (AI) is applied in more and more areas, from virtual assistants to self-driving cars. At the same time, there is much discussion about its scientific, economic, social and political consequences. One thing is clear: AI is a many-headed creature with countless application possibilities. But which ones are best suited for your organisation?

There is a lot of talk about the 5G revolution, but what does it mean in practice? The new wireless network technology enables completely new applications, many of which are linked to Artificial Intelligence (AI) and industrial and business applications. Interesting? Let's zoom in on that.

Artificial intelligence within service processes will be used in 70 per cent of customer interactions by 2022. That is a considerable improvement on the 15 percent in 2018. And it's much needed, because everyone is horrified by helplines with long waiting times, continually entering the same data and ending up with a mess.