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Digital Experience

There are some key success factors that companies should consider in the design and implementation of personalisation projects to guarantee that they are both efficient and highly effective. In this blog post, I reveal five of these factors and show you what really matters.

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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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Methodology

SAP S/4HANA testing is not limited to the implementation and go-live phases of a project. Standard functionalities and extensions of the S/4HANA package should also be factored in. But does this also mean more and more effort?

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