I am often asked which AI we use. That motivated me to write an article about it. Which models do we use? What are their advantages and disadvantages? What are the characteristics of these ‘employees’ and how do they behave when working together? Large language models are often used as chatbots. The training data comes largely from the internet… Continue Reading Monoculture is a thing of the past. Why I rarely use just one AI anymore…
For years, Spirit in Projects has supported companies and public sector clients in designing, tendering, and implementing AI systems. One thing has been consistently confirmed: A structured, data-driven, and value-oriented process model is the key to success—regardless of whether the project follows V-Modell XT, Scrum, or a custom hybrid approach.Many AI projects fail not because of the technology,… Continue Reading Requirements for AI Systems: How a Well-Designed Process Model Leads Projects to Success
At Spirit in Projects, we have spent years helping companies define requirements for complex IT systems and professionally prepare tenders. In recent years, a clear trend has emerged: Artificial intelligence (AI) is being integrated into more and more projects—and brings with it unique challenges. When it comes to AI systems, defining the right requirements from the outset is… Continue Reading Requirements for AI Systems: Why They Differ from Classical Software Systems
Companies developing or deploying AI applications face a strategic dilemma: On one hand, AI promises efficiency gains; on the other, legal requirements demand caution and transparency. How can businesses responsibly navigate this tension? The reality is that AI performance is no longer measured solely by response time or computational power. Instead, trustworthiness has become the decisive factor. But… Continue Reading Data Ethics as a Quality Standard for Artificial Intelligence (AI)
The speed of technical development in the field of AI is having profound repercussions on roles in the software development process. These are some of the current trends in how important roles in software development are currently changing. Developers are being forced to deal with the ethical dimensions of their systems – issues related to… Continue Reading Are We Facing an Role Revolution?
Software Programming 2.0 – The AI trend is radically changing the ways in which we design, develop and implement software. The term “Software Programming 2.0” is used for software development which focuses on the programming of artificial intelligence (AI). The paradigm shift from conventional software development (or “Software Programming 1.0”, as it’s now called) to… Continue Reading Software Development in the Age of AI
In the first part of this article we gave an overview of AI tools and their potential impact in the field of software engineering. In this part we look at the effects on organizations and how people work together. The key to good team collaboration will lie in flexibility, a willingness to learn and and… Continue Reading Technology as an engine of change: This is what AI in software engineering is changing in organization and collaboration
Technological progress often proves to be an engine which drives change in the ways we work and our organizational structures. In two consecutive articles we take a look at possible repercussions of AI on the software industry. In this first part we look at new tools and forms of work that result from innovations in… Continue Reading Technology as an engine of change: AI tools in software engineering and their impact
Requirements engineering lies at the forefront of software development – and in the future, AI will play a transformational role in that field. Requirements engineering (RE) defines what a system should do, even before any development begins, and thus is concerned with the systematic collection, documentation and management of requirements. Integrating AI into the RE… Continue Reading AI in Requirements Engineering: Revolutionizing Software Analysis
The future is right now! Dive into the the world of artificial intelligence (AI) and find out how it’s revolutionizing the IT landscape. In this article we explore how AI is relevant, and why expert knowledge in a variety of specializations is the key to success. The meteoric growth of artificial intelligence (AI) has turned… Continue Reading The age of AI: the Future’s in your hands!
In today’s digital age, companies are under increasing pressure to digitalize their processes and data in order to stay competitive and meet customer demands. However, the digitalization process can be complex and full of challenges, and companies often find it difficult to embark on that journey effectively. Detailed analyses of business processes require a great… Continue Reading Data Journeys: A Path to Better Digitalization for Companies
The rise in digitization is resulting in an increasing number of applications which aren’t just optional for users, they’re mandatory, which means that user interface design, and in turn issues related to user experience (UX) and user interface, are now moving into the spotlight. Just think of the check-in process for low-cost airlines, which is… Continue Reading User Experience: More than Just a Pretty Interface
