adesso Blog

AI is the real game changer of our time. Advances in generative AI and Machine Learning enable intelligent applications such as Conversational Assistants or Predictive Analytics. However, many companies are struggling to find use cases for AI with real financial added value and have not yet progressed beyond the experimental stage.

In today's digital era, artificial intelligence (AI) is integrated into almost every aspect of our lives and businesses. Although AI takes up such a tremendous amount of our time, energy and attention, few understand the fundamentals of AI. It is therefore not surprising that some consider AI to be a danger. Therefore, it is essential to develop a thorough understanding of AI – a skill referred to as AI literacy. Read more about this in this blog post.

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.