Artificial intelligence has long ceased to be just a trend- it has become a concrete operational necessity in many industries. For sustained business success, it is essential to continuously generate practical, up-to-date knowledge about technologies and methods. our expertise: focus on AI Building on the success of our AI courses this year-and recognizing that AI… Continue Reading Our new training program 2026 – AI vision and practice
The rapid and reliable provision of applications is an important prerequisite in times of rapid digitization to bring digital solutions to customers. The city of Vienna, as a provider of countless digital services, has recognized this challenge. As part of the technology renewal program, the city is therefore using Kubernetes based on Red Hat OpenShift… Continue Reading Providing Applications Efficiently and Flexibly: Introduction of OpenShift for the City of Vienna
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The Changing AI Landscape Artificial intelligence has become indispensable in the modern business world. While in recent years, Large Language Models (LLMs) such as GPT-4, Claude, or Gemini have dominated the headlines, an interesting trend has emerged since 2025: Small Language Models (SLMs) are gaining increasing importance – especially in the enterprise environment. For many… Continue Reading SLM vs. LLM: Why Small Language Models Can Be the Better Choice for Businesses
The new EU Directive NIS 2 is changing the rules of the game for IT security in Europe. Since October 2024, member states must have implemented it into national law. It obliges companies and authorities to systematically organize their cyber security – with clear processes, reporting obligations, and responsibility at the management level. For many organizations, this… Continue Reading What is NIS 2 – and why does it affect (almost) everyone?
As part of the merger of the former nine regional health insurance funds into one Austrian Health Insurance Fund (ÖGK), a new department for risk management, internal control system (IKS), and internal audit was created. The department also consolidates knowledge in crisis management and business continuity management, integrative process and requirement management, as well as… Continue Reading Strategic consulting for ÖGK – Realignment of the risk management and internal controlsystem area
AT-Alert: Security through clear requirements – and how we contributed With AT-Alert, Austria has had a modern, mobile-based warning system since 2024 that automatically sends warnings to all mobile phones in an affected area in the event of a crisis – without an app, without registration. With this, the Rundfunk and Telekom Regulierungs-GmbH (RTR) is… Continue Reading AT-Alert: Security through clear requirements – and how we contributed to it
In AI project practice, specific requirement blocks often emerge that go beyond traditional functional, non-functional, or purely data-related categories. Key areas include Data & Data Quality, Model & Algorithms, Integration & Operations, Users & Domain, and Security & Ethics. Each of these categories brings unique challenges that should be addressed early in the project. Data & Data Quality AI thrives… Continue Reading Key Requirement Categories in AI Projects
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 integration of Artificial Intelligence (AI) in businesses promises significant advancements in automation and efficiency. However, successfully managing an AI project requires more than just technical expertise. Project leaders must navigate a range of pitfalls and standards to overcome the complex challenges involved. Setting Realistic Goals One of the most common mistakes in AI projects is vague or unrealistic objectives.… Continue Reading Artificial Intelligence in Project Management: Success Factors and Pitfalls