Artificial intelligence tool for assessing penalty notices - AI tool will assess PN accuracy before Byte processing, supporting Name & Shame publishing. Uses image recognition, is stand- alone, and supplier will train staff for in- house support
Artificial intelligence tool for assessing penalty notices - AI tool will assess PN accuracy before Byte processing, supporting Name & Shame publishing. Uses image recognition, is stand- alone, and supplier will train staff for in- house support
Artificial Intelligence and Machine Learning technologies for archival workflows - National Archives seeks to conduct and evaluate technology pilots utilising Artificial Intelligence and Machine Learning- National Archives is the custodian of Australian government records. In addition to a large physical collection, National Archives has a digital collection approaching 10 petabytes ( PB) of data, comprising a wide range of digital file formats, including: Digital images, that are scanned from original h
artificial intelligence and machine learning technologies for archival workflows
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This is a Request for Information (RFI) from the National Archives of Australia for Artificial Intelligence and Machine Learning technologies for archival workflows. Respondents must contact the National Archives via email to receive a sample set of digital records for demonstration. Responses must be submitted through the Austender portal by October 30, 2025. The solution must be scalable, reliable, and secure. The solution must be protected from unauthorized access and risks to data integrity. A preference will be given to fully onshore Australian implementations. The response should detail the respondents experience in deploying the solution at scale. The sample records will include, but will not be limited to: typed text, handwritten text, consignment lists, photographs, multimodal records, audio only content, maps and plans, and audiovisual content.
The bid notice states equest for information only. not applicable.
The bid notice states that sellers must adhere to the below requirements. responses marked noncompliant against these requirements may be excluded from the evaluation process.
The bid notice states that ational archives will provide a small sample data set of records to enable respondents to demonstrate the capabilities of the proposed solutions.
Artificial Intelligence and Machine Learning technologies for archival workflows - National Archives seeks to conduct and evaluate technology pilots utilising Artificial Intelligence and Machine Learning- National Archives is the custodian of Australian government records. In addition to a large physical collection, National Archives has a digital collection approaching 10 petabytes ( PB) of data, comprising a wide range of digital file formats, including: Digital images, that are scanned from original h
**** Proof- of- concept - Austroads- 23 vehicle classification scheme Purpose/Objective: Austroads is seeking responses from appropriately experienced service providers to complete development and publication of an updated Austroads- 23 classification scheme within an updated classification scheme framework. The objective of this project is to support road managers to obtain accurate insights into current usage of their networks for a range of different vehicle types, including the utilisation of evolvi
The tender seeks responses from experienced service providers to develop and publish an updated Austroads-23 vehicle classification scheme. The project involves research, investigation, consultation, and analysis to update the core classification scheme guideline, research report, and image library. Deliverables include a pre-commencement statement of works, project management plan, stakeholder analysis and engagement plan, project data management plan, the updated classification scheme guideline, research report, interim image library, webinar, and project data with metadata. Interested parties should refer to the full tender brief for detailed information and scope of works. The closing date for submissions is Tuesday, May 27, 2025, at 3 PM Australian Eastern Standard Time.
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