adesso BLOG

Microsoft Copilot increases your productivity and optimises your processes. But beware of data chaos! In this blog post, we show you the most important governance aspects when introducing Microsoft 365 Copilot and other AI services based on large language models.

Metadata-driven data pipelines are a game changer for data processing in companies. These pipelines use metadata to dynamically update processes instead of manually revising each step every time a data source changes. As with data pipelines, metadata maintenance can be a bottleneck in the maintenance and further development of a pipeline framework. In this blog post, I use practical examples to show how the Jsonnet template language makes it easier to maintain metadata.

European legislators have imposed strict regulation on the digital space in recent years. In addition to the much-discussed EU IoT Act, other important regulations such as the Data Governance Act and the Data Act have come into force. The Data Act in particular has attracted special attention due to its impact on IoT device manufacturers, service providers and start-ups. The Data Act, which entered into force on 11 January 2024, will apply from September 2025. In my blog post, I discuss its objectives, effects and requirements for all stakeholders.

In an increasingly digitalised world, the systematic collection, interpretation and use of data is becoming a factor in success. If a company fails to do this, it will lose a key tool needed to stay competitive and innovate in the age of digitalisation. In my blog post, I explain why data governance is important for companies and how adesso can support them in this area.

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.

Data strategy is different for every company, but usually challenges we face are similar. To better illustrate these challenges and data strategy as a solution let’s use a container logistics analogue.