Data Quality stories
For a bank handling 10,000 cross-border payments a day, failed transactions can drain about USD $2.2 million a year and drive customers away.
Poor-quality records can still undermine patient matching, interoperability and AI workflows, even as healthcare data volumes keep rising.
Bad email data can quietly damage deliverability, campaign reporting and revenue unless businesses pick an API that fits their workflows.
Despite strong returns from AI in IT, most Australian organisations still insist on human sign-off before systems can make operational decisions.
The deal gives customers a single route to structured public web data as businesses race to feed AI systems and automate decisions.
The survey shows many firms lack a clear owner for AI governance, leaving marketing and IT split over risk, data quality and brand oversight.
Duplicate records are inflating storage bills, slowing pipelines and skewing reports as organisations pull in data from ever more systems.
Only 27% of AI projects reach production as boardroom pressure pushes European firms into ad-hoc experimentation, Rebura found.
Active data makes up just 4.4% of enterprise storage, raising costs, security exposure and AI search quality concerns for firms.
Rising telemetry volumes and AI use are pushing security teams to trim ingestion bills by filtering data before it reaches analytics systems.
Poor data governance is slowing AI adoption in marketing, with only 35% willing to share unverified machine-generated insights, Adverity found.
Most losses now stem from weak customer and employee awareness, even as banks pour more money into technology and still struggle to keep pace.
Finance teams on Google Workspace can now keep reports and forecasts governed in one data layer without leaving Sheets.
A lack of AI policies is leaving many staff afraid to use the tools safely, as 83% worry a mistake could cost them their jobs.
Unverified AI outputs can quietly drive failed deliveries, compliance noise and customer-record errors across Asia Pacific businesses.
Finance teams are devoting 26% of their working day to checking AI outputs, despite universal adoption in a survey of 270 US CFOs and finance leaders.
Yet fewer than half now have an AI governance policy, as businesses pour more money into transformation projects and agentic AI.
The fresh capital will help the London-based AI data company hire, deepen its digital twin network and push further into the US market.
Rising storage and ingestion bills are pushing security teams to trim telemetry before it reaches analytics, as AI swells data volumes.
Retailers risk weaker personalisation and wasted spend this peak season unless customer data is cleaned up before AI systems are switched on.
