adesso Blog

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.

Many companies are just starting out with their first prototypes in the area of large language models. It is a good idea to deal with regulatory and security issues at an early stage. What needs to be considered from the outset, what needs to be done during the course of the project and how can operations be set up securely and in compliance with regulations? Even if not all the details have been clarified in the regulatory area, for example, I would like to address these questions in this blog post.

Implementing digital production, IIoT, industrial metaverse and AI is often difficult. This blog series shows successful examples from various industries. In this blog post, I answer the questions of why digital production is important, what added value it offers and why implementation in production is often more complex than in other areas of the value chain.

Generative AI, especially Large Language Models (LLM), have taken the IT world by storm since the introduction of ChatGPT at the end of 2023. The possibilities seem endless, whether as a chat assistant, for summarising texts, extracting knowledge or as a programming aid. Public administration has also recognised the potential of generative AI. In this blog post, we analyse the opportunities, challenges and risks of using generative AI in public administration based on ten theses.

Snowflake has taken a late but big step in the field of generative AI (GenAI). With services such as the Snowpark Container Service, Snowflake Cortex and Snowflake's own Large Language Model (LLM) 'Arctic', Snowflake wants to secure its place in the world of generative AI. The second part of the blog post looks at these three services and the opportunities they offer (for companies).

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.

Foundation models are revolutionising the way we perform time series analyses. They are trained on large data sets and offer flexible and scalable solutions for complex predictions and pattern recognition. In my blog post, I introduce foundation models, show advantages and technical details and compare different models with each other.