Data Foundation Readiness for Automation & AI
How prepared is your service data foundation for advanced automation and AI?
Key Takeaways
- The largest share of organizations consider their service data foundation automation-ready, indicating that most have reached a level of data structure and quality sufficient to support automation, even if not yet optimized for advanced AI use cases.
- A significant portion of organizations are still in the foundation phase, reflecting that a considerable part of the market is actively building the underlying data infrastructure needed before automation or AI can be reliably layered on top.
- An equally small share of organizations sit at the two extremes — AI-native and not ready, showing that while a select few have reached full AI readiness, an equally limited group still lacks the basic data foundation required to support automation at all.
- The concentration around automation-ready and foundation phase suggests most of the market is on a maturing path, with data readiness for AI representing the next major frontier rather than something already solved.
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