The Digital Transformation Agency (DTA) has begun testing an artificial intelligence assessment framework designed to guide government departments in evaluating their AI projects.
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner, Inc.’s annual global survey of CIOs and technology executives, and more than 1,100 executive leaders outside of IT (CxOs). A small cohort of CIOs and CxOs, known as the “Digital Vanguard,” has the highest achievement rate, where 71% of their digital initiatives meet or exceed outcome targets.
New guides for businesses published by the Office of the Australian Information Commissioner (OAIC) seek to articulate how Australian privacy law applies to artificial intelligence (AI) and set out the regulator’s expectations.
The Digital Transformation Agency (DTA) has released new guidance to enhance the assessment and delivery of digital projects across the Australian Government. Developed in collaboration with the University of Sydney's John Grill Institute for Project Leadership, the guidance focuses on improving the accuracy of Delivery Confidence Assessments (DCAs) for digital initiatives.
Generative artificial intelligence (GenAI) is everywhere, and so are widespread, cross-industry discussions about how humans fit into the equation. In the world of intelligent document processing (IDP), when considering the promise of faster, scalable, more accurate processing, it’s no surprise that GenAI technology is on the forefront of everyone’s minds.
The Digital Transformation Agency (DTA) has released new guidance to enhance the assessment and delivery of digital projects across the Australian Government. Developed in collaboration with the University of Sydney's John Grill Institute for Project Leadership, the guidance focuses on improving the accuracy of Delivery Confidence Assessments (DCAs) for digital initiatives.
Since 2019, the Australian Department for Industry, Science and Resources has been striving to make the nation a leader in “safe and responsible” artificial intelligence (AI). Key to this is a voluntary framework based on eight AI ethics principles, including “human-centred values”, “fairness” and “transparency and explainability”. Every subsequent piece of national guidance on AI has spun off these eight principles, imploring business, government and schools to put them into practice. But these voluntary principles have no real hold on organisations that develop and deploy AI systems.
Achieving optimal records management requires a hybrid approach, combining centralised records management for vital information and manage-in-place for general administrative records. Additionally, the Bearman model offers an important methodology for embedding records management into defined business processes where there are limited record types.
New research from Accenture, from a survey of 2,000 executives across 12 countries and 15 industries, found that three-in-four (74%) organizations have seen investments in generative AI and automation meet or exceed expectations, with 63% planning to increase their efforts and further strengthen these capabilities by 2026.
The MediSecure ransomware attack which exposed the personal and health data of nearly 13 million Australians, has earned a place in the top 11 data breaches of the first half of 2024, according to an analysis by Kiteworks.
