By Benedikt Bonnmann*
Press release
Dortmund |
Innovation or dead end? The truth about GenAI projects
Statement on the topic of GenAI projects
Generative AI – GenAI for short – is undoubtedly the dazzling diva among current technologies. Over the past two years, companies worldwide have explored its potential, showcasing impressive pilot projects and filling countless PowerPoint slides with ambitious promises. Some projects have even already gone live. But the crucial question in 2025 is: how do we manage to leave the Proof of Concept (PoC) playground and create real added value for businesses? After all, according to market researchers at Gartner, almost a third of all GenAI projects fail at this early stage.
Two points immediately spring to mind in this context: business value and data quality. Firstly, successful projects always start with the same question: what problem do we want to solve and how can GenAI help us? Conversely, this means that companies need clearly defined use cases. Too many PoCs get stuck in the middle of nowhere because they don’t deliver real business value. Secondly, data, data and more data. GenAI thrives on high-quality, well-prepared data. However, many companies quickly realise that their data landscape is anything but AI-friendly. If you want to get beyond the pilot phase in 2025, you have to invest in groundwork – in other words, prepare data and clarify security and compliance issues.
If companies prioritize these two aspects in their strategies and activities, while also adopting the appropriate AI frameworks and building the necessary technical expertise, GenAI projects can successfully overcome the initial hurdles and seamlessly integrate into everyday business operations.
* Benedikt Bonnmann is a member of the Executive Board of adesso SE and responsible for the AI business
Benedikt Bonnmann, member of the Executive Board of adesso SE, appeals to companies not to neglect their homework in terms of data governance for successful GenAI projects. (Source: adesso)
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