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AI

After taking a bird’s eye view of the holistic framework of trustworthy AI in the first blog post of this series, I would now like to delve deeper into the topic. In this blog post, I will take a look at the core requirement in the trustworthy AI field, namely ‘trust’. I will also elaborate on aspects regarding the division of labour between humans and machines.

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AI

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.

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AI

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.

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AI

14.07.2021 By Matthias Proschinger and Dr. Zeljko Dzunic

Low code and AI: the next big step in the AI adoption strategy – part 2

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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.

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AI

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.

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AI

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.

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AI

02.06.2021 By Matthias Proschinger and Dr. Zeljko Dzunic

Low code and AI: the next big step in the AI adoption strategy – part 1

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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’.

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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.

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