adesso BLOG

This is the third and final instalment of my blog series titled ‘Machine-generated text summarisation in Aleph Alpha Luminous using R’. Here, I will use a high-level example to explain the various steps in a transformation pipeline and present the intermediate results.

Requirements engineering has become a key factor in machine learning projects in the age of artificial intelligence and machine learning. This blog post explains the importance, the theoretical underpinnings and the approach taken in this critical step in the process of developing AI systems.

An anomaly is a data point or pattern in a time series that differs from the data you would typically expect to receive. Anomaly detection deals with the task of identifying these irregularities. In this blog post, we will be presenting approaches used to analyse time series data and detect anomalies. Along with that, you will also find out how to successfully integrate the algorithms into a smart product platform.

Looking back, CMS systems have been on an amazing journey, going from simple text editors to highly customisable platforms that can now be used for a wide range of applications. In my blog post, I will look into the evolution of CMS and explore how a combination of CMS and AI tools can generate added value.

Running large language models using a fancy, ready-to-use interface increases accessibility for many, even for people who do not know any programming languages. Part two of my blog series focuses on technical aspects such as specifying the scope of the summary, prompt engineering and quality factors.

The European Union’s proposed AI Act will make working with artificial intelligence (AI) on a daily basis even more complex. Some potential AI applications might end up on a blacklist, while others remain untouched, but in a way, both applications use the same technology. It feels like AI roulette. The entire situation is poised to cause doubts during the idea phase of potential AI applications – namely, is my AI idea allowed? This is a question that crops up a lot at the moment.

During the summer semester, a case study was prepared on adesso tackling the question of how to usher the age of AI into its organisation. It identified the specific challenges the company faces, evaluated its development and made recommendations for action to the adesso management. I will present the results of the study in this blog post.

In this blog post, I would like to introduce you to an efficient way to make your company’s knowledge and documents accessible by integrating them into an easily searchable and interactive chat environment. The ultimate goal in this case is to make targeted queries and obtain precise answers based on the available documents and information. To demonstrate these functions, I will be using Luminous, the large language model from Aleph Alpha.

Personalised customer experiences have become a must for businesses and artificial intelligence (AI) can help them reach a whole new level. By customising their customer approach, implementing efficient support solutions and developing targeted marketing strategies, companies can use AI to redesign and improve their customer interactions.