Artykuł specjalistyczny

The landscape of artificial intelligence (AI) is changing. While proprietary AI solutions have long dominated the market, open-source models are rapidly gaining importance. They not only offer companies powerful alternatives, but also decisive advantages in terms of data protection, cost efficiency, and strategic control.

Data moves more than vehicles – a look behind the scenes of a special project
What happens when a critical data provision application at a major car manufacturer needs to be placed on a new technical foundation – and that in the middle of ongoing operations?

When developing, adapting or installing a new software solution, many teams only test at a late stage. As a result, errors that arise during development remain undetected for a long time – which makes the correction considerably more expensive. In short: the earlier an error is detected, the cheaper it is to rectify.

When developing, adapting or installing a new software solution, many teams only test at a late stage. As a result, errors that arise during development remain undetected for a long time – which makes the correction considerably more expensive. In short: the earlier an error is detected, the cheaper it is to rectify.

Right, let’s get straight to the point. The National Health Service (NHS) is inundated with data. We’re talking about really huge amounts of data every day. And this data? It’s not just numbers; it’s the key to better patient care, smarter resource allocation and improving the health of, well, everyone.

BI projects are often accompanied by special requirements and therefore require a special approach. In this article, we reveal how you can adequately take these into account in project management and master them using our success factors.