adesso BLOG

ECO:DIGIT is a research and development project with the participation of adesso, which is funded by the Federal Ministry of Economics and Technology. The aim is to develop and standardise a uniform methodology for the automated life cycle assessment of distributed software systems and to implement an accessible and productive software system. I explain what this looks like in detail in my blog post.

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.

Microservices are a prevailing trend in software architecture that breaks down large systems into independent units. They offer advantages, but are not always necessary. Alternatively, a modularised monolith can be useful, especially if the boundaries between microservices are fluid. In this blog post, I will discuss modularisation concepts in the Java ecosystem, with a focus on Spring Modulith.

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.

In modern data processing, companies are faced with the challenge of choosing the right database technology for their specific requirements. PostgreSQL and Databricks are two widely used solutions, each with their own strengths. In this blog post, I will highlight the differences between PostgreSQL and Databricks, analyse their respective advantages and disadvantages and give specific use cases that justify a switch to Databricks.

Demographic change is challenging the German care system. Politicians and associations are looking for funding models and technological progress is offering new care concepts. The aim is to use apps and wearables to improve the independence and quality of life of people in need of care and relieve the burden on relatives. We show how this works in our blog post.

In the manufacturing industry, there is often talk of digital transformation. This is intended to pave the way for Industry 4.0. The opportunities and potential benefits of digitalisation are well known. The question is: why is it still only making slow progress? I get to the bottom of this question in my blog post.

In the first part of my blog post, I focussed on the general opportunities and challenges of AI as well as specific applications of generative AI. The second part deals with the application of AI in the various phases of the customer journey.