Data Quality stories
Fewer than 5% of Australian organisations have scaled AI, leaving data leaks, bias and compliance failures as real risks for business leaders.
Across healthcare, cyber security and data management, leaders warned that AI will stall without stronger infrastructure, workflows and trusted data.
Public and enterprise AI roll-outs are running into sovereignty, storage and data-governance problems as projects move from pilots to production.
Businesses scaling AI face greater risk of hidden errors, as Alation's new system aims to verify data, context and agent decisions in real time.
Marketers are finding that AI can boost output without lifting quality unless they feed it richer audience and community signals.
Aiming to cut conflicting analytics results, the project will now be governed by the Apache Software Foundation after support topped 50 organisations.
Data quality is overtaking AI as a top concern in 2026, with CDOs under pressure to prove the information behind automated decisions is trustworthy.
As enterprises push AI into production, weak data pipelines, governance gaps and rising energy costs are emerging as the real bottlenecks.
Rapid growth in Gulf digital commerce is pushing fraud, data quality and compliance issues to the top of leaders' agendas.
Firms say the bigger payoff now lies in embedding AI into logistics, security and data systems, while poor governance leaves firms exposed.
A single benchmark score may be hiding sharp failures when users phrase data queries more vaguely, Google Cloud says.
Enterprises risk wasted spending and bad decisions because governance frameworks cannot fix inaccurate data already in their systems.
Strict compliance has helped banks and insurers outperform retail on inbox placement, as cleaner data now drives better delivery rates.
Poor data quality, not platform failure, is usually why Customer 360 programmes miss expected returns and erode trust across teams.
Weak data and governance are leaving most UK mid-market AI projects stuck in pilots, despite 91% of firms saying they are ready to scale.
Gartner's latest reports flag data governance as a barrier to production AI, after CUBIG was named a Sample Provider and Tech Innovator.
Australian firms are increasingly using AI in day-to-day operations, with leaders saying data quality and human oversight now matter more than pilot projects.
Only 12% of UK companies qualify as AI leaders, with most still struggling to turn pilot projects into measurable returns.
The layer is designed to stop AI misreading marketing shifts, after many pilots fail because systems lack business context and governance.
Product data teams can now oversee AI agents in Akeneo's cloud, reducing manual catalogue work and tightening control over approvals.
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