Industry Insider

  • Ancestry.com Bets $US450 Million on Record Digitisation

    ancestry

    Ancestry.com, the world's largest online family history platform, has cut a record digitisation process that once took nine months of manual indexing down to under nine days, using proprietary handwriting-recognition AI to help push its collection past 71 billion records and restore subscription revenue growth after years of stagnation.

  • EDRM Opens Public Comment on Major Model Update

    The reference model that has defined electronic discovery practice since 2005 is being redrawn for the AI era, with information governance as its foundation, disposition elevated to a core phase and analysis extended across the entire discovery lifecycle. Public comment on EDRM 2.0 is open until 30 July 2026.

  • Little Progress on Service Victoria Fixes Five Years On

    Victorian government departments have made limited, and in some cases no, progress fixing shortcomings in the state's digital services platform identified five years ago. They also gave the Auditor-General inaccurate reports about the status of their remediation work.

  • One in Five Firms Blind to Unsanctioned AI Agents

    The share of organisations unable to tell whether employees are using unsanctioned AI tools has nearly tripled in a year, rising from 6.3 per cent to 17.6 per cent. For AI agents the blind spot is larger still, with 21.1 per cent of organisations unable to account for unsanctioned agent activity.

  • From Task Bots to Goal-Driven Agents: Capgemini

    The core leadership question for enterprise AI is no longer "can we build an agent?" but "can we delegate decisions safely at scale?", according to a new Capgemini point of view on agentic process automation. The consultancy argues organisations that succeed treat agentic automation as an operating-model change rather than a one-time tooling upgrade.

  • Gartner Flags Governance Risks in AI Agents

    governance

    By 2028, 70 per cent of US healthcare payers will address workflow, data and service automation using no-code agent builders, cutting manual workloads by 50 per cent, Gartner predicts. The forecast signals a broader shift: AI agent development moving from centralised IT projects to business-led automation, with governance the deciding factor between value and risk.

  • Australia Trails Singapore on AI Maturity, Study Finds

    Australian organisations are delegating decision-making to AI systems faster than their governance frameworks can support, with half of C-suite leaders prepared to hand AI more autonomy than their current controls allow, new research from Insight Enterprises has found.

[more articles]

Ancestry.com Bets $US450 Million on Record Digitisation

ancestry

Ancestry.com, the world's largest online family history platform, has cut a record digitisation process that once took nine months of manual indexing down to under nine days, using proprietary handwriting-recognition AI to help push its collection past 71 billion records and restore subscription revenue growth after years of stagnation.

EDRM Opens Public Comment on Major Model Update

The reference model that has defined electronic discovery practice since 2005 is being redrawn for the AI era, with information governance as its foundation, disposition elevated to a core phase and analysis extended across the entire discovery lifecycle. Public comment on EDRM 2.0 is open until 30 July 2026.

Little Progress on Service Victoria Fixes Five Years On

Victorian government departments have made limited, and in some cases no, progress fixing shortcomings in the state's digital services platform identified five years ago. They also gave the Auditor-General inaccurate reports about the status of their remediation work.

One in Five Firms Blind to Unsanctioned AI Agents

The share of organisations unable to tell whether employees are using unsanctioned AI tools has nearly tripled in a year, rising from 6.3 per cent to 17.6 per cent. For AI agents the blind spot is larger still, with 21.1 per cent of organisations unable to account for unsanctioned agent activity.

From Task Bots to Goal-Driven Agents: Capgemini

The core leadership question for enterprise AI is no longer "can we build an agent?" but "can we delegate decisions safely at scale?", according to a new Capgemini point of view on agentic process automation. The consultancy argues organisations that succeed treat agentic automation as an operating-model change rather than a one-time tooling upgrade.

Gartner Flags Governance Risks in AI Agents

governance

By 2028, 70 per cent of US healthcare payers will address workflow, data and service automation using no-code agent builders, cutting manual workloads by 50 per cent, Gartner predicts. The forecast signals a broader shift: AI agent development moving from centralised IT projects to business-led automation, with governance the deciding factor between value and risk.

Australia Trails Singapore on AI Maturity, Study Finds

Australian organisations are delegating decision-making to AI systems faster than their governance frameworks can support, with half of C-suite leaders prepared to hand AI more autonomy than their current controls allow, new research from Insight Enterprises has found.

Realtime Data Gaps Stall Enterprise AI

Nearly three-quarters of IT leaders say a lack of real-time data infrastructure is stalling their efforts to scale AI, and only 32 per cent have agentic AI in production, according to Confluent's 2026 Data Streaming Report.

Call for Enforceable NZ Cyber Security Laws

New Zealand should move from voluntary cyber security guidelines to enforceable legislation, including mandatory reporting of major cyber attacks, according to a new policy push that would shift responsibility for digital safety from individuals to the systems and platforms they rely on.

AI Supercharges Messaging Scams, Global Study Warns

More than half of successful messaging scams are completed within 30 minutes of first contact, and one in seven is over in less than five minutes, according to a new Kaspersky investigation into the global messaging scam economy. The average loss per victim is US$733.

Subscribe to