Data Quality stories
It aims to reduce safety and audit risks in sectors such as mining and care by showing whether workers are actually cleared for each job.
AI pilots are stalling because weak data quality and unclear ownership keep organisations from turning governance spend into measurable gains.
Finance chiefs see AI as a risk-management issue first, with clean data and human oversight seen as essential to protect statements and audits.
Poorly designed checks can block genuine customers or let fraudsters through, so leaders need a risk-based verification flow that preserves conversion.
Finance teams can now reconcile millions of invoices in BigQuery without code, as Alteryx keeps PDFs in Google Cloud Storage and flags duplicates.
Retailers risk losing customer loyalty to AI agents unless they clean and enrich data, as BCG says GenAI browser traffic to US sites is up 4,700%.
Only 3% of senior marketers say their organisations are fully ready to use AI in marketing measurement, despite its speed benefits.
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.
It warns firms that AI can distort evidence and audit judgments unless they strengthen controls, supervision and professional scepticism.
Despite rapid adoption, UK firms are struggling to turn AI spending into measurable gains, with trust and returns still out of sync.
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.