FEATURE
Survey: Technology Adoption and Strategic Impact report. The research found that 23 % of organisations do not formally assess ROI, while just over one-fifth continue to rely primarily on cost savings or total cost of ownership( TCO) as their measure of success. This highlights a significant opportunity for organisations to adopt more mature, outcome-based approaches to measuring technology value.
When you frame technology adoption in financial terms that a CFO inherently recognises, you build the internal momentum required to integrate deeply into the Microsoft stack, rather than merely achieving only limited adoption.
Companies see Azure as a future AI platform. What data foundations should they put in place today to ensure they are ready for large-scale AI and IoT adoption tomorrow?
Organisations that win the AI race tomorrow are establishing strong data foundations today.
According to the findings, close to a quarter of organisations say IoT and Edge Computing use cases drive their choices for real-time data – reading from machines on the shop floor, sensors in the field and devices at the edge where speed matters most. It is therefore no surprise that Generative AI ranks second, followed by blended technology stacks that use AI to summarise signals, guide decisions and reduce manual effort in fast-moving workflows.
Achieving this readiness requires three crucial pillars. First, data must be consolidated into a governed, central repository. Second, organisations must establish rigorous data classification and lineage, ensuring total visibility over exactly what assets they possess. Lastly, it is vital to ensure that identity and access frameworks are resilient enough to handle IoTscale operations.
Ultimately, your AI is only as good as the underlying data feeding it, and the reality is that most organisations are still two or three foundational steps away from being genuinely enterprise-ready.
For technology leaders, the message is clear: the organisations that will extract the greatest value from cloud and AI are not those that adopt the most tools, but those that build the operational, financial and data disciplines needed to turn technology into measurable business advantage. •
Organisations that win the AI race tomorrow are establishing strong data foundations today. www. intelligentcio. com
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