adesso Blog

Despite state-of-the-art manufacturing technologies, production planning is often still surprisingly analogue. AI and GenAI have long offered the potential to automate complex planning processes, make them more efficient and save valuable resources. In my blog post, I show how the maximum priority graph is replacing old ways of thinking and paving the way for data-driven, adaptive planning.

AI is the real game changer of our time. Advances in generative AI and Machine Learning enable intelligent applications such as Conversational Assistants or Predictive Analytics. However, many companies are struggling to find use cases for AI with real financial added value and have not yet progressed beyond the experimental stage.

The Speaking Machine use case is a GenAI showcase. The integration into the com2m smart product platform is designed to provide users with a helpful AI assistant whose tasks include the following areas: querying data such as assets, data points or messages, interpreting data and providing support with troubleshooting. In this blog post, I would like to present the technical details of this showcase.

In today's digital era, artificial intelligence (AI) is integrated into almost every aspect of our lives and businesses. Although AI takes up such a tremendous amount of our time, energy and attention, few understand the fundamentals of AI. It is therefore not surprising that some consider AI to be a danger. Therefore, it is essential to develop a thorough understanding of AI – a skill referred to as AI literacy. Read more about this in this blog post.

Mechanical engineering is one of the main pillars of the German economy and often stands for innovation, precision and efficiency. But despite these strengths, the industry is facing significant challenges, which we repeatedly hear about in technical discussions with our customers. In this blog post, we focus on the challenges of monitoring and maintaining machines: How can a machine be used optimally? And, if it fails, how can it be quickly put back into operation?

Energy suppliers are faced with the challenge of managing complex supply chains and optimising costs. With intelligent cloud data platforms, AI-supported analyses and automated purchasing processes, they can secure decisive competitive advantages. Find out how this works in practice and what success stories are available in our latest blog post – to coincide with our appearance at the EUROPEAN ENERGY Supply Chain Summit 2025 in Berlin.

GenAI is one of the most important technological developments in the world in recent years. It offers companies new opportunities and also entails risks. In the DACH region, there are regulatory uncertainties around the integration of generative AI into business models and processes. This blog post is about the opportunities and risks of the technology and proven strategies for safe and responsible use. The goal is to help customers get the most out of it.

Customer surveys provide valuable insights – but evaluating open responses is often a laborious and confusing process. In my blog post, I explain how insurance companies and pension providers in company pension schemes can use AI-supported semantic analysis to efficiently analyse feedback from their target groups, identify patterns and derive targeted improvements. Find out how AI can help you better understand the voice of your customers and make your company pension offers even more successful.

The last domino has been eaten, the last firecracker shot, and the Christmas tree has long since celebrated its well-deserved retirement on the organic waste heap. So it's high time to look ahead to the new year. Regulation continues to evolve, especially for the finance and insurance industry. What new requirements will come into force in 2025 and on what date? What is to be expected? Where is there a need for action and improvement?