Data Quality stories
The funding will help Tamr speed up development of agentic features as enterprises struggle to make fragmented records usable for AI systems.
Barriers such as shipping costs and unclear sizing are stopping many Americans from turning interest in UK and European labels into purchases.
It warns firms that AI can distort evidence and audit judgments unless they strengthen controls, supervision and professional scepticism.
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.
Boards are being warned that AI, identity and software supply chain gaps are outpacing controls, leaving organisations more exposed to fast-moving attacks.
Businesses will be able to build data pipelines in a governed environment, as Incorta seeks to cut tool sprawl and reduce AI errors.
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.
Poor customer records are distorting Gen Z marketing in Australia, driving wasted messages, failed deliveries and weaker segmentation.
Most motorists may be fuelling avoidable claims delays, with just 30% saying they know exactly what details to swap after a collision.
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.
Despite rapid adoption, UK firms are struggling to turn AI spending into measurable gains, with trust and returns still out of sync.