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Digital transformation

Alternative labels
Digitisation
Subject Hierarchy
Broader terms
Automation
Current term
Digital transformation
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Report

Digital technology in the not-for-profit sector: November 2025


The report provides an annual look at how charities and community organisations in Australia and New Zealand use technology to amplify their impact. It is built on insights shared by over 800 not-for-profits across data, cyber, digital transformation and artificial intelligence. The report outlines progress in the sector, the challenges and risks, and scope for...
Report

Connecting for impact: aligning productivity, participation and skills


The report offers evidence-based insights into Australia’s evolving workforce. It explores how productivity and participation are shaped by shifting skill demands, technological change and structural barriers, identifying where better alignment between education, migration and workforce planning can deliver stronger, fairer outcomes. The report highlights five recommendations aimed at enhancing individual employment and skills outcomes.
Guide

Guidance for AI adoption: six essential practices for responsible AI governance


The guidance sets out six essential practices for responsible artificial intelligence (AI) governance and adoption, based on national and international ethics principles. There are two versions of the guidance: for organisations getting started in adopting AI, and for governance professionals and technical experts. The guidance is accompanied by a policy guide and template.
Guide

AI agent usage and deployment guidance


This guide supports New South Wales (NSW) government agencies to safely and responsibly use agentic artificial intelligence (AI). It helps NSW agencies know what to consider when developing policies, assurance processes and implementing AI agents. It also includes roles and responsibilities, use case screening, and checklists for pilots and production.
Report

Our Gen AI transition: final release


This report includes a final analysis paper that explores how the implications of generative artificial intelligence (Gen AI) vary across the workforce, including exposure, experiences and perspectives, through cohort and intersectional lenses. The second part of the report provides the technical detail of how the key pieces of analysis were undertaken in the overarching report...