Innovation, creativity and productivity transformation can all be achieved with generative AI (genAI), but success rests on access to the right data.
For CIOs and technology leaders, building the right data foundations unlocks higher-quality insights, enables better decision making and builds trust in AI. Strong data practices also support compliance, a growing concern as regulatory expectations increase.
Most enterprise data is unstructured, so making it usable in real time is critical to unlocking value and avoiding wasted processing power.
Enterprises are expanding their AI ambitions to automate customer service, optimise workflows, enhance decision support and strengthen reporting.
IT leaders say their organisations expect genAI to improve product development and design (61%) and allow employees to focus on high-value tasks (58%), according to Foundry’s AI Priorities Study.
Without quality, quantity and accessibility of data, initiatives risk underperforming, with poorly optimised models costing companies up to 6% of revenue.
Unifying data to unlock enterprise value
Fragmented data is one of the biggest barriers to genAI success. When information is dispersed across legacy ERP, CRM and other departmental databases, models cannot see the full picture, undermining insight quality. CIOs prioritising a single source of truth enable AI to generate richer customer insights and accelerate operational decision-making.
Many are also adopting real-time integration, including zero-extract, transform, load (ETL) architectures, which move data directly between systems without complex ETL processes.
Modern cloud platforms connect hundreds of systems, helping to eliminate gaps and power more consistent, scalable AI.
As Tom Godden, AWS enterprise strategist, recently warned: “If you don’t have a strong data foundation, you are really going to struggle to be able to do anything beyond clever parlour tricks with generative AI.”
Data hygiene for efficiency and unstructured value
Good data hygiene keeps AI pipelines efficient, prevents wasted processing power and makes unstructured information usable at scale. Synthetic data (artificially generated that mimics real-world datasets) can also be used to supplement scarce records.
To refine enterprise data into a reliable resource, CIOs are prioritising:
- Deduplication eliminates redundant records to improve accuracy.
- Enrichment fills gaps and adds business-relevant context.
- Metadata management tracks lineage and maintains consistency.
Together, these practices make AI outputs more dependable and sustainable, giving leaders confidence to expand projects without spiralling costs.
Embedding governance to strengthen AI outcomes
Data compliance is essential for scaling genAI responsibly. Leading cloud platforms are designed to transform compliance from a box-ticking exercise into a foundation for responsible scale. Security, auditability and regulatory alignment are engineered into their services, enabling CIOs to meet requirements while reducing operational overhead.
Effective governance also reduces the risk of hallucinations, data poisoning or bias amplification, and helps CIOs navigate sovereignty requirements that dictate where data can be stored and processed.
This robust governance strengthens customer trust, and partnerships, giving CIOs the credibility to scale AI across the enterprise. Cloud-based compliance turns governance from a constraint into a competitive advantage.
Why data discipline will define genAI transformation
For CIOs, the challenge is to progress from principle into practice. That means identifying the silos holding back AI, embedding automated data hygiene checks into workflows and treating data compliance as a lever for innovation.
The technology leaders that act with discipline will be the first to scale genAI from pilots into core business operations. Cloud platforms such as AWS are designed to make this shift achievable, combining data integration, automation and built-in compliance so leaders can scale genAI with assurance and impact. By consolidating workloads in the cloud, CIOs can also scale in ways that are not only commercially effective but environmentally sustainable.
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