Data Quality stories
The gap between workplace AI use and employer oversight is widening, with a Personio survey finding 26% of UK staff use it without permission.
The first Gartner Magic Quadrant for product information management could boost buyer confidence as retailers race to keep product data accurate across channels.
Yet manufacturers are using only about 45% of the data they collect, slowing efforts to turn AI pilot projects into wider operational gains.
Australian and New Zealand finance teams could cut manual close work as NetSuite rolls out AI tools, but only if data and controls are ready.
Only 26% of IT decision-makers say they can resolve conflicts across AI agents, exposing a readiness gap as firms expand deployment.
Many ANZ firms lack the data governance and integration needed to prove AI is lifting productivity, costs or customer experience.
Synthetic fraud is slipping past standard checks, prompting banks to use real-time address matching to tie identities to physical locations.
Many employers cannot link above-market pay to performance, with 58% assessing fewer than half of significant premiums against business outcomes.
Most data programmes fail on culture, not code, with 93.2% of senior executives citing change management as the main barrier to adoption.
The renewal gives Jaguar Land Rover continued access to Aiimi's Workplace AI platform as manufacturers seek better control of legacy data before wider AI rollouts.
Most Australian executives want AI to pay back within a year, but weak data governance is already slowing deployment and hiding errors.
Despite weak data foundations, 65 per cent of local organisations are already running AI projects, while many cannot measure success effectively.
Most Australian executives still lack the data controls needed to trust AI in reporting, even as 95 per cent expect a return within a year.
Most transport and logistics operators plan bigger AI budgets next year, as 90% say returns have met or exceeded expectations despite readiness gaps.
Businesses were urged to fix data, processes and governance first, as AI in ERP was shown to depend on stronger operational basics.
Cleaner customer records can cut undeliverables, reduce wasted marketing spend and help retailers deliver smoother holiday orders and campaigns.
Despite widespread adoption, nearly a third of UK finance chiefs cannot quantify AI's impact on cash and liquidity management, a survey found.
That shortfall is already hitting projects, with 37% of firms pausing, scaling back or abandoning AI initiatives because of poor data quality or availability.
Nearly a third of UK finance leaders cannot quantify AI's benefits, highlighting a gap between enthusiasm and proof as liquidity teams face rising pressure.
Only 28% of firms in Komprise's survey have measured AI returns, despite 68% saying their organisations are already maturing or mature in AI.
