Data management stories
Rising AI costs and security gaps are pushing enterprises to tighten oversight as leaders demand clearer returns from deployments.
AI is now embedded in reporting and operations across the region, but executives warn that governance, data sovereignty and shadow use lag behind.
Boards are rushing into AI deployments, but leaders say weak data governance and security gaps are now threatening trust and returns.
Australian manufacturers could slash rework and compliance time if they embed AI in daily workflows, UTS-led research says.
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.
Enterprises could see better GPU use as the partnership aims to cut data delays that slow AI training, inference and analytics.
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.
Enterprises risk wasted spending and bad decisions because governance frameworks cannot fix inaccurate data already in their systems.
Demand for data governance is rising as regulated organisations spend more on AI, and RecordPoint is betting on partners to capture it.
Poor data quality, not platform failure, is usually why Customer 360 programmes miss expected returns and erode trust across teams.
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.
The promotion aims to sharpen One.site's push into construction software as contractors seek to cut paperwork and improve site safety.
Only 12% of UK companies qualify as AI leaders, with most still struggling to turn pilot projects into measurable returns.
Regulated industries may get a safer route to production AI as the tie-up offers tighter control over data, governance and deployment.