Industry Insider

  • Law Firms Risk 'Cognitive Surrender' to AI

    Law firms risk a crisis of 'cognitive surrender' as lawyers treat artificial intelligence as a definitive authority rather than a tool, a new behavioural science study warns. The research finds machine dependence is impairing professional judgment, particularly among junior lawyers using automation for routine work.

  • Data Teams Paying 'Hidden Tax' on One-Off Delivery

    Up to half of enterprise data team capacity in Australia and Singapore is consumed by single-use data work that will never be reused, new research from Quest Software has found. The study describes the pattern as a 'hidden tax' on capacity at the moment organisations most need it for AI initiatives.

  • Insurer RACQ Bets On Adobe Agentic AI

    RACQ has signed a five-year partnership with Adobe and Deloitte Digital to transform how it serves more than 1.7 million members. The deal uses a flexible “Lighthouse” model that gives RACQ early access to Adobe’s latest AI tools. Adobe says it is the first such arrangement in Asia Pacific and Japan.

  • Active Metadata: The Key to Content Observability

    Employees and customers increasingly encounter AI-generated content via emails, chatbot responses, learning materials, and documents. But enterprises have no way to know how that content, also known as unstructured data, is performing. To improve content over time, it makes sense to observe the human reactions to it. Is it clear? Is it trustworthy? Is it driving the desired actions? 

  • One NZ Layers AI Over Legacy Systems

    New Zealand telco One NZ has credited a new deployment of UiPath Maestro as a victory over the challenge of transforming legacy-heavy operations at scale without a costly infrastructure overhaul.

  • Most Unstructured Data Not Ready for AI, Study Finds

    Seventy percent of organisations say less than half their unstructured data is discoverable and usable for analytics or AI, according to new research from analyst firm BARC. The finding lands as enterprises push AI agents into production on top of documents, emails and images they cannot fully see.