adesso Blog

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.

The rapid development of artificial intelligence (AI) opens up new opportunities for companies, but also presents them with regulatory and ethical challenges. Our AI Governance Check helps companies to meet the complex requirements of the AI Regulation (EUKIVO) and other standards, minimise risks and strengthen stakeholder trust. We show how this works in our blog post.

This blog post was written as part of the GenAI Solutioning Unit. In it, we show that there are various ways to specialise a language model on a domain-specific basis. This is important for advising our customers and is aimed at anyone interested in GenAI.

As you may have gathered from the first blog post, "Volunteering and its parallels in everyday IT", by Johannes Bayerl and myself, the social sector is very close to my heart. By chance, the Italian adesso Stefano Mainetti came across our post and shared it on his LinkedIn network. In doing so, he also referred to an interesting adesso project from Italy.

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.

The growth in the importance of artificial intelligence (AI) in recent years cannot be attributed to individual factors, but rather to the synergy of various interconnected and mutually reinforcing advances. Five factors are fuelling the rapid development of the AI movement. This blog post shows what these are in detail.