adesso Blog

The decision-making process, i.e., how an AI arrives at its result, must be comprehensible and transparently communicable to all stakeholders. This is especially true within the insurance industry. Meaning a transformation of the black box into a white box is needed. This is where Explainable AI (XAI) comes into play. We explain what this is all about in our blog post.

IT and business come together to form a value creation system in which the democratisation of technology is shifting the areas of responsibility and new processes and organisational structures are emerging. At the same time, there is an opportunity for a new culture of cooperation. I explain how this all ties together in my blog post.

The field of artificial intelligence (AI) is arguably the biggest technological driver of the future, but projects often fail due to the complexity of their implementation or a lack of experts. In the first part of this series, we tried to answer the question of how low-code platforms can facilitate AI adoption. In this part, we will now take look at intelligent process automation – a combination of different technologies: artificial Intelligence, low code and robotic process automation (RPA). What are the advantages of using this combination? Using a well-known use case with SAP, we will introduce you to the advantages of intelligent process automation to optimise workflows.

The coronavirus pandemic saw a substantial rise in the use of video conferences. But it’s impossible to imagine them not being part of our everyday work lives even after everything returns to normal. However, since video conferences also have a few disadvantages in comparison to face-to-face communication, I’d like to use my blog post to explain how AI can help to improve your attention span during video conferences.

To ensure that AI initiatives don’t fall short of their objectives, insurance providers need to take a holistic approach that also includes people – both customers and employees. As I’ve mentioned in a few of my previous blog posts, there are quite a number of challenges involved in deploying AI-based systems. This blog post deals with the specifics of the approach and how it differs from traditional projects. I will not go into regulatory aspects in this post.

Is personalisation on the Internet a topic of the future? Actually, it’s already a major topic now and is set to become even more important in the future! In this blog post, I will describe how you can profit from AI-powered personal communication and set your business and its products and services apart from the competition.

As the father of a young daughter, new perspectives open up in terms of responsibility and the transmission of values. A balanced and varied diet provides the foundation for healthy development and the way in which food is handled serves as an important role model. In searching for clues about our food, we have become more aware of the issue of sustainability and the extent to which we waste food has become clearer. In the process, questions have arisen about the solutions with which digitalisation and artificial intelligence contribute to improving the food chain.

The field of artificial intelligence is arguably the biggest technological driver of the future, but projects often fail due to the complexity of their implementation or a lack of experts. In the first part of this blog series, we take a look at how low-code platforms as a disruptive innovation in software development can make adopting AI easier and show you two use cases to demonstrate how this technology is contributing to the ‘democratisation of AI’.

The area of surveillance, or in other words, the monitoring of processes for regulatory and compliance reasons, is enormously important for banks. Banks already use automated systems for these sorts of checks, but they don’t offer a one hundred per cent detection rate. In this blog post, I explain how artificial intelligence methods can be used to solve this problem.