adesso BLOG

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.

AI has been the megatrend of recent years. No company, no trade fair, no provider can do without this magic word. And yet, when it comes to insurance companies, I see a clear reluctance to use these methods in practice. In my blog post, I show how TrustworthyAI makes the use of artificial intelligence in the insurance industry safe and efficient.

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.

A lot has happened since the breakthrough for Large Language Models (LLMs) with ChatGPT. What has remained is our desire to supplement these language models with further knowledge. There is no longer a one-size-fits-all solution, but there are numerous possibilities. This blog post provides an overview of the various options for optimising LLMs.

GenAI has revolutionised the way we experience technology. These advanced models are able to produce text, images and even videos by performing creative tasks autonomously. Their multimodal capabilities are particularly fascinating: They process different input data, be it texts, images or videos, and convert them into impressive results. From medical diagnostics to innovative applications in image processing - the potential uses of GenAI are virtually unlimited. In this blog post, I show how this technology will shape our future.

In the world of data processing, there are various approaches to improving efficiency and accuracy. One particularly promising approach is the use of Large Language Models (LLMs) to improve the linking of entities through entity linking. In this blog post, I will highlight the new possibilities and advantages of this technology.

Artificial intelligence is developing rapidly and Retrieval Augmented Generation (RAG) in particular has attracted a lot of attention recently. Large language models such as ChatGPT show their full potential when they are enriched with domain-specific knowledge through RAG. Despite this potential, users often face challenges. In this blog post, we look at the transition from basic to advanced RAG approaches and show how typical problems can be overcome.

In the ever-evolving world of technology, artificial intelligence (AI) has become an indispensable tool that is revolutionising various industries. One of the most fascinating applications of AI can be found in the field of design. AI-driven design offers new possibilities for the (interaction) design of software products and is changing the way we look at creativity and innovation. This blog post looks at what AI-Driven Design is, how it works and the benefits it offers specifically for healthcare applications.

The first two parts of my blog post dealt with the general opportunities and challenges of AI, specific applications of generative AI and AI in the various phases of the customer journey. In the third and final part, I take a closer look at the future developments of AI in the insurance sector.