Data Quality stories
Employment Hero's HeroClear processes what it claims is Australia's first real-time super payment, as employers brace for 2026 Payday Super rules.
AI rollout delays are stretching to a year as three-quarters of organisations report security incidents and governance gaps grow.
Rising fraud is exploiting fake and disposable emails; smarter validation at sign-up and checkout can block attacks before they cost you.
Arctic Wolf predicts agentic AI will overhaul SOCs, tighten Zero Trust and keep humans central as cyber risk surges into 2026.
Phone numbers are becoming the new trust filter, helping businesses block fraud, cut wasted messages and secure real, reachable customers.
Online gaming faces a hidden surge of fake players; here's how operators can detect bots, fraudsters and protect fair play at scale.
Enterprises must ditch open-world hype and build deterministic, event-driven AI agents that reliably automate closed-world workflows at scale.
AI supply chains will consolidate by 2026, with tight human oversight, integrated infrastructure and trust becoming key differentiators.
Informatica enhances its Intelligent Data Management Cloud with deeper AWS integration, boosting AI agent capabilities for improved data governance and accuracy.
China's vast data economy faces hurdles from poor data quality, prompting a push to build a clean, reliable foundation crucial for AI leadership.
Informatica teams up with AWS to launch new tools enhancing trusted AI agents with improved data governance and integration for enterprises.
By 2026, AI will transform skills across tech, finance, and healthcare, requiring new expertise in data quality, trust, and ethical governance, says OpenText.
Over two-thirds of retailers expect agentic AI to boost efficiency by 2026, but only 8% have fully integrated it into their operations so far.
Ataccama names Andrea Eaton as Chief Marketing Officer to expand its data trust platform amid growing AI adoption and regulatory demands in finance and insurance.
AI powered by Reinforcement Learning is revolutionising cybersecurity, enhancing vulnerability detection and cutting false positives in threat testing.
Accurate patient data is vital for healthcare, improving communication, billing, and care quality through robust data cleansing and real-time validation.
Bad data is undermining AI success, causing costly productivity losses, eroding trust, and risking regulatory penalties in organisations worldwide.
ASOS's GBP £130m stock write-off shows AI gloss cannot mask a broken ERP, as messy data turns clever tools into costly liabilities.
As AI transforms selling, only revenue teams with clean, constantly verified CRM data will forecast accurately and truly trust automation.
AI-fuelled synthetic ID fraud is surging, set to cost firms USD $23 billion by 2025 and USD $58.3 billion by 2030 without stronger checks.