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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

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.

Insurance providers need to have the confidence to use AI THE RIGHT WAY – so give your employees that confidence, too!

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.

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

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’.