adesso BLOG
04.07.2022 By Viktoria Düngfelder
AI meets UX – AI-based software calls for new approaches in user experience design
Artificial intelligence is set to transform our lives. The task of UX design is to strengthen trust in AI-driven software and, above all else, increase our quality of life in the future. The following blog post explores key questions and describes the best methods to find solutions to them.
Read more02.06.2022 By Lilian Do Khac
Trustworthy AI – the holistic framework and what parts of it will be tested in future
The trustworthy characteristics of an artificial intelligence (AI) are addressed in the context of Trustworthy AI. The spectrum of requirements for Trustworthy AI ranges from the AI’s design to its functions, all the way to its operation. At this point, you’re justifiably asking yourself: where should we start, and where’s the end? A holistic framework is used to create an overview, which, in turn, can be broken down into small parts. In my blog post, I’ll briefly present such a framework and highlight individual aspects of it.
Read more19.04.2022 By Sascha Tash
AI in environmental protection – an overview of functionality and application scenarios
Sustainability and environmental protection are topics that are now part of our daily lives. The UN’s 17 Sustainable Development Goals have been designated by Germany’s current federal government as a guideline for political action. If we want to truly understand environmental problems, systematically analyse them and take action against them using IT systems, we must draw on our most crucial tool: environmental data. In my blog post, I’ll give you an overview of the possible ways to apply artificial intelligence (AI) to the field of environmental protection.
Read more22.02.2022 By Tim Strohschneider
Identifying customers’ needs before they have them
If we know what our customers will want tomorrow, we can make them the perfect offer today. Unfortunately, this is rarely successful, and products are usually just ‘dumped’ on thousands of people at a time. In my blog post, I will explain how the next-best-action approach can help banks anticipate the needs of customers and the next steps that would be best for them.
Read more27.01.2022 By Tim Strohschneider
Making relevant information usable with the help of modern artificial intelligence Text extraction use case
Whether it arrives on paper or as a PDF, vast amounts of information reach our banks via the documents they receive (digital or analogue). In order to make this information usable for further processing in digital processes, the relevant information must be read out correctly and passed on to the right place in the process. This blog post is about how we can reliably perform this process and others for our customers using text extraction.
Read more20.01.2022 By Allan Linke and Ferhat Yildiz
RPA as an AI enabler – software robots transport you to a harmonised system landscape
At the beginning of the global pandemic, the switch to mobile working was another wake-up call for many companies to invest more in digitalisation. A complete integration of all company processes into a few central systems often requires very high investments and can rarely be realised in a short amount of time. One possible solution to this situation is robotic process automation (or RPA). We explain what this is all about in our blog post.
Read more08.09.2021 By Manuela Schwarze
Democratisation of IT – the catalyst for innovation and value creation
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.
Read more14.07.2021 By Dr. Zeljko Dzunic and Matthias Proschinger
Low code and AI: the next big step in the AI adoption strategy – part 2
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.
Read moreTo 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.
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