DTA to scrutinise blockchain’s potential for government payments
Budget documents reveal that the government’s Digital Transformation Agency will “investigate areas where blockchain technology could offer the most value for Government services”.
Budget documents reveal that the government’s Digital Transformation Agency will “investigate areas where blockchain technology could offer the most value for Government services”.
The Department of Veterans’ Affairs will receive an additional $111.9 million over four years beginning in 2018-19 “to continue to transform and improve veterans’ services to more effectively and efficiently meet the current and future needs of veterans and their dependants,” budget papers reveal.
The government will make $130 million available, including $94 million in capital funding, to improve the ICT capability of the newly created Department of Home Affairs.
The government will continue funding a push to boost the security and resilience of the Bureau of Meteorology’s IT systems and observations network infrastructure , but will not reveal how much it plans to spend on the initiative.
The government plans to spend $316.2 million over four years as it enters the third stage of its massive overhaul of Australia’s welfare payment system.
The 2018-19 budget reveals details of the government’s funding for its efforts to promote a domestic space industry as well as new initiatives intended to boost Australian businesses access to location technology, including better GPS performance.
The government will put more than $65 million towards funding new rules that will give consumers greater control over their personal data and make more public-sector data sets available for businesses, agencies and researchers.
The government has revealed that it will provide the Digital Transformation Agency with $92.4 million in 2018-19 to “accelerate the implementation of the GovPass Program”.
The federal government’s 2018-19 budget earmarks $29.9 million over four years to strengthen Australia’s capability in artificial intelligence (AI) and machine learning (ML).