adesso BLOG

The world of artificial intelligence (AI) has evolved rapidly with the introduction of generative models such as ChatGPT. This blog post takes a look at use cases for generative AI and considers the future possibilities of this technology.

Large Language Models (LLMs), above all ChatGPT, have taken all areas of computer science by storm over the past year. As they are trained on a broad database, LLMs are fundamentally application-agnostic. Despite their extensive knowledge, however, they have gaps, particularly in highly specialised applications, which in the worst case can only appear to be compensated for by hallucinations. To reduce this risk, "Retrieval Augmented Generation" (RAG) has been established.

The degree of digitalisation in facultative business is still significantly lower than in other areas of the company, even among the largest reinsurers. The reason lies in the nature of the business: it works with few, highly individualised contracts - but business processes that work with a high degree of standardisation and large volumes are best digitised. With the latest advances in the field of artificial intelligence (AI), the tide is turning: new solutions can be a game changer to increase the efficiency and quality of facultative underwriting and make data available for other applications.

When searching for relevant sources for editorial work, specialised knowledge databases are indispensable. But even in this rich pool, the search is often laborious. The solution? Concise summaries of each entry that enable a quick assessment of relevance. In our blog post, we present proven concepts for the mass generation of machine-generated summaries with Aleph Alpha Luminous and report on a realised customer project.

Workflow orchestration and workflow engines are crucial components in modern data processing and software development, especially in the field of artificial intelligence (AI). These technologies make it possible to efficiently manage and coordinate various tasks and processes within complex data pipelines. In this blog post, we present Prefect, an intuitive tool for orchestrating workflows in AI development.

The emergence of Generative Artificial Intelligence (GenAI) has triggered a veritable hype in all sectors. The energy industry can also benefit from this. From automated document processing to grid optimisation - in my blog post, I show how GenAI can help master the challenges of the energy transition and digitalisation.

In today's world, which is characterised by increasing complexity in software development, the efficient management of project configurations is of central importance. Especially in the field of artificial intelligence (AI), where flexibility and precision are crucial, Hydra enables efficient professionalisation. This blog post gives a brief introduction to Hydra and shows how this tool, with its dynamic functions, is redefining the management of software projects, especially in the field of AI.

Microsoft has invested in OpenAI to gain access to ChatGPT, and the company is now integrating generative AI into tools such as Microsoft 365. These AI-based copilots improve productivity and efficiency, especially in regulated industries where you find many recurring tasks and large amounts of data. Copilots help optimise workflows as financial or claims management tools. My blog post will take a look at Microsoft Copilot for Microsoft 365, a tool that is used in the banking and insurance sector, as one example of an AI-supported assistant.

Generative AI has been everyone’s mind since ChatGPT came on to the scene. But what exactly does this term mean and how is generative AI different from the well-established concepts of machine and deep learning? This blog post takes a general look at AI technologies and highlights the differences that make generative AI so intriguing and promising in an ever-changing world.