Why do AI projects fail? Success factors for future-oriented technologies

Approximately 90 percent of AI applications fail, often due to data-related issues. Without a structured data infrastructure, even future technologies are unlikely to succeed. Data platforms are key to achieving comprehensive data integration. However, the long-term success of a data platform relies not only on the underlying technology but also on its proper organizational and structural embedding. To sustainably operate and develop a platform, companies must overcome several challenges.
Therefore, a step-by-step approach focusing on relevant use cases has proven effective. It is recommended to start with use cases that are relatively simple to implement both organizationally and technically, as these can facilitate a fast return on investment (ROI) or generate initial quick wins. By prioritizing these efforts, companies can keep their initiatives manageable and better adapt to the transformation processes.
This presentation emphasizes the importance of creating the right framework for executing digital projects, which is key to ensuring their success.