adesso Blog

Firms today are faced with various challenges as a result of globalization. Disruptive and digital business models are putting long-established companies to the test. As a result, IT within organizations is increasingly seen as an integral part of the business model and an important competitive factor.

Low-/no-code is a development trend that is expected to grow at a double-digit number in the coming years. In contrast to traditional software development, it aims to accelerate product cycles, achieve greater flexibility and reduce development resources, thereby lowering the development costs.

Low-code is an intuitive, visual approach to modern software development that minimises the amount of effort needed for programming and speeds up the development process. But how can the potential of low-code be fully exploited and what role do citizen developers play in this context? We will answer these questions in our blog post.

Low-code development platforms are becoming increasingly popular with companies because they enable them to create applications independently, even if they have little or no programming knowledge. In my blog post, I’ll describe the origins of low-code, explain how it works and list important considerations for its implementation.

I talked with Chiara Gelmini from Pega about the challenges of the financial industry, how to navigate them and what kind of solutions we can offer to our clients.

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 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’.