adesso Blog

GenAI is one of the most important technological developments in the world in recent years. It offers companies new opportunities and also entails risks. In the DACH region, there are regulatory uncertainties around the integration of generative AI into business models and processes. This blog post is about the opportunities and risks of the technology and proven strategies for safe and responsible use. The goal is to help customers get the most out of it.

In recent months, the AI world has been following the developments surrounding DeepSeek with excitement. With its "R1" model, the Chinese AI start-up sensation has proven that it is possible to achieve comparable performance with far fewer resources than competing products such as OpenAI's ChatGPT or Meta's Llama. This development is not only driving technological progress but is also changing the discussion about the democratization and cost structure of AI. But what do these innovations actually mean for companies and their AI initiatives?

Prompts drive thinking, writing, and creativity – in school, at work, or when using AI. The art of formulating clear and effective prompts can be crucial, whether in the classroom or when working with language models. A well-designed prompt guides responses, sets clear expectations, and invites reflection. This blog post shows how ‘prompt engineering’ is a creative, cognitive approach to helping people and machines perform at their best.

Regulation is driving AI-based innovations in banking! Even if, at first glance, regulation with its strict rules and requirements is perceived as a brake on innovation, in many cases it sets the rules that ensure legal certainty and orientation. In this blog post, I will take a closer look at the impulses from a regulatory perspective that strengthen this symbiosis.

AI is revolutionising the banking sector and opening up a wide range of opportunities to increase efficiency, better respond to customer needs and meet regulatory requirements. From intelligent chatbots to automated credit processes and real-time fraud detection, AI is changing the way banks operate and interact with their customers. This blog post provides an overview of the current possibilities for using AI in the banking sector in the front and back office, as well as in the regulatory environment.

In the first two parts of this blog post, we looked at the concept of creativity and the role of humans and their creative potential in the creative process. In this part, we take a broader perspective and look at how some approaches from the field of GenAI work in connection with human cognitive processes.

Companies and authorities are often faced with the challenge of finding relevant information in huge amounts of data. Although Retrieval Augmented Generation (RAG) is still a relatively new technology for targeted retrieval of local domain knowledge, the technology often fails to aggregate complex distributed information. This is where GraphRAG comes into play. We present it in detail in this blog post.

This is the first part of my three-part blog post on the role of artificial intelligence (AI) in the insurance industry. In this first part, I focus on the general opportunities and challenges of AI as well as specific applications of generative AI. The focus is on marketing and sales.

Everyone makes GenAI and that's right! But despite the hype surrounding GenAI, the fundamental field of machine learning (ML) must not be forgotten. Because there is still a lot of untapped potential for companies here. Few people understand what artificial intelligence (AI) actually includes and how to use it optimally for their own business. We have gained a lot of experience as trainers and based on this we have created suitable training offers.