Data Quality stories
SAP's survey of 2,600 executives finds fragmented AI use is limiting returns, with data gaps and weak governance slowing rollout.
The inquiry could shape rules on jobs, safety and public services as firms warn that overreach may drive investment offshore.
Most Australian lenders are using agentic AI in underwriting, but just 3% say their data is fully ready for AI-driven decisions.
Rising cybercrime is forcing Australian businesses to tighten checks or risk fraud losses, compliance breaches and slower onboarding.
AI use in Australia and New Zealand is shifting from pilots to routine finance and marketing tasks, SAP said in a regional review.
Firms selling AI into Europe now face extra costs and design changes as the bloc's new rules extend beyond EU-based providers.
Growing payroll mistakes can now trigger fines, back-payments and board scrutiny in manufacturing as super rules and labour hire reforms bite.
Only 11 per cent of executives said their data was ready for AI, even as 84 per cent trusted its output without human review.
Marketers will gain access to sentiment and research signals as LUMOS expands its audience graph with Pureprofile data.
Poor data quality can make integrated customer records unreliable, driving wasted spend, compliance risk and manual correction work.
Many Australian and New Zealand workers are losing nearly a full day a week reconciling AI outputs across disconnected systems, Workday found.
Enterprises may gain decision support without replacing existing systems, as the assistant uses governed internal data to recommend next best actions.
Canadian banks will be able to cut months of compliance work to days as the first joint product automates data risk checks and audit evidence.
Outdated web pages and poor product data could erode customer trust and leave large UK businesses exposed to GBP £525 million in lost revenue.
Advisers could see less admin and quicker follow-up as SEI widens its AI toolkit with software that turns client meetings into records and tasks.
Retailers risk losing shoppers to AI answers as poor product data leaves items absent from recommendations and search clicks fall.
Faster transfers are exposing a gap in Europe's payments systems, where firms still struggle to link money movement with data, controls and accountability.
Finance teams across Southeast Asia could cut reconciliation delays as fragmented payment data makes manual matching slower and riskier.
Disconnected systems are slowing decisions, masking costs and forcing Canadian firms to reconcile data manually before they can trust it.
Most lenders still lack the data quality and governance needed to trust AI, even as 76% use it for credit and fraud decisions.