adesso BLOG

A look at the past 125 years shows that there are plenty of exciting sales models that help every organisation to better understand the current sales and decision-making behaviour of modern customers and to align their marketing measures accordingly. Each of these models presents interesting ideas and approaches to the world of data-driven marketing that can help companies refine their understanding of end customers and understand them better. I will show you which models in my blog post.

Business intelligence (BI) maturity models are used to find out how far along a company is in terms of digitalisation and data use. In our blog post, we will explain how maturity models help with classification, whether the Interaction Room is an alternative way to apply them and, if it is, whether it can be used as a basis to successfully improve BI in the holistic consultancy process.

The demand for innovative AI-based transformer models is hard to ignore. Great advancements in development have been made in recent years, especially in areas such as machine translation and speech and text recognition. This blog post will describe how transformer technologies are used in language models.

Finding patterns in data is a task that keeps data scientists as well as domain experts busy. For companies, data is a critical business asset that adds value. To this end, store floor connectivity plays an essential role. I explain what this is all about in my blog post using a (fictional) example.

This blog post explains why the use of data in the health sector makes sense and which concepts and framework conditions need to be created for this.

The path to successful digitalisation in the laboratory requires the use of IT systems. While a large part of the documentation and data volume for manual process steps is kept on paper, an increased level of digitalisation also entails an increased volume of data. This makes it all the more important to ensure that the IT systems that are used are validated so that the data that’s generated and processed is subject to the required quality criteria.

There is still very little data sharing going on in today’s insurance industry. Obstacles to this include strict and often unclear regulations, reluctance to share data or the difficulty involved in calculating the value of data in advance. Gaia-X offers insurance providers enormous potential. I will explain what that potential is in my blog post.