Delta Electricity is aware of the value in unstructured data such as incident reports. In order to deliver historical performance data to the field engineers, a special machine-learning text analytics tool is implemented to intelligently match free-flow text to asset registers.
As a part of the information gateway initiative, the linkage between structured data and unstructured data plays a critical role. Data mining and machine learning are used to create an intelligent tool to link operator logs, outage reports, work orders and engineer drawings to the asset registers.
Argsen delivered a machine learning-based student university entry application automated processing service. This cloud-based service has reduced nearly 95% human effort in assessing individual free-flow text applications. This solution is integrated with the SATAC student offering system and adopted by University of Adelaide, Flinders University, University of South Australia and other tertiary institutes.
ANGLICARE SA is one of our long term partner, our team provide professional IT support to database management, maintenance and upgrade. Meanwhile, we are developing related system for this organisation.
The Asset Institute is a continuation of the former Cooperative Research Centre (CRC) for Infrastructure and Engineering Asset Management (CIEAM), our team corporate with Asset Institute to develop online survey tools.