Introducing AI in companies: Lessons learned from practical experience in education
Companies that want to implement AI face more than just technical decisions. Besides data and systems, people, work processes, and trust play a crucial role. The education sector, in particular, clearly demonstrates that artificial intelligence can only be used successfully if it is understood as a support tool. A practical project from the education sector illustrates which factors […]
AI image recognition in construction logistics: automating processes and ensuring quality
Construction logistics generates vast amounts of visual information daily. Materials are delivered, inspected, and documented. These steps are crucial for project progress, yet they are often performed manually and under time pressure. This is precisely where AI image recognition comes in. For the first time, it makes visual data systematically usable, creating the foundation for automated processes and consistent quality assurance. AI offers […]
Optimize scheduling with AI: Intelligent deployment planning for greater efficiency
Scheduling is one of those tasks that rarely goes unnoticed as long as everything is running smoothly. However, it immediately becomes a bottleneck as soon as something goes wrong. An unexpected breakdown, a last-minute change, or a new priority is enough to throw existing plans into disarray. It is precisely in such situations that the true complexity of resource planning becomes apparent. AI in scheduling supports companies […]
AI reporting in companies: Automated analyses using the Nogabot use case
AI-driven reporting in companies is increasingly becoming a central tool for management and leadership. While traditional reports often only reflect past data, AI enables a new form of decision support. Through automated reports, statistical evaluations, and context-related analyses, reporting transforms from a mere source of information into an active business co-pilot. This opens up new possibilities, especially for AI solutions for SMEs […]
Data quality as the basis for AI in the company
The discussion surrounding data quality for AI in business is gaining significant importance. Many organizations want to use artificial intelligence to automate processes or make better decisions. In practice, however, numerous AI initiatives fail not because of the technology, but because of an inadequate data foundation. Anyone who wants to successfully implement AI in their company must first address the quality, […]
From data chaos to AI solution for Lucerne SMEs – Comitas x MeinNetz
Many companies are realizing that artificial intelligence (AI) is becoming an increasingly important competitive factor. At the same time, uncertainty prevails: Where is the best place to start? Which data can be used? And how can the transition from idea to concrete solution be achieved? The collaboration between Comitas and MeinNetz supports SMEs in the Lucerne region precisely at this juncture. Together, with a focus on […]
AI solutions for everyday work – humans and machines in harmony
Between Humans and Machines – How AI Meaningfully Enhances Everyday Work AI in everyday work is already a reality, and it's changing not only tools but also the role of humans at work. Whether in brainstorming, meetings, or learning: AI solutions aren't meant to replace people, but to support them. Especially in the […]
AI governance: Structured guidelines for the responsible use of AI
Why AI Governance Is the Game Changer for Long-Term AI Success: The path to responsible AI doesn't begin with the technology – but with the people who shape it. Holistic AI governance creates structures that enable security and trust. Equally crucial is a corporate culture that embraces change, fosters collaboration, and supports continuous learning. Only when these elements work together, […]
AI Use Cases: Data Strategy and Application for Real Added Value
Successfully Implementing AI Use Cases – How Data Strategy and Application Create Added Value The successful implementation of a company-wide AI strategy begins with two key questions: How well are our data and systems positioned? And: How systematically do we translate our knowledge into repeatable solutions? Because only when technological prerequisites and strategic implementation are considered together can sustainable […]
Why a clear AI strategy is the key to business success
How companies can link AI to real business goals – and thereby create real added value. The introduction of artificial intelligence (AI) doesn't begin with technology – it begins with a clear AI strategy aligned with measurable business objectives. This is precisely what distinguishes sustainable progress from isolated pilot projects: It's not about whether to use AI – but […]