The University of Queensland has begun a three-year research project to analyse data for the fleet management industry. The project, which is called In-memory moving objects analytics for real-time business applications, is designed to make sense of data generated by GPS devices, smartphone applications which use on-board sensors, and intelligent transportation systems. SAP has supplied the University with a HANA 1TB in-memory platform which will allow exploitation of large data sets and lead to a deeper understanding on the potential of real time analytical computations. According to SAP, the research will lead to targeted services for its fleet management customers who can carry out real-time analysis to book the best services for specific transportation needs. University of Queensland to roll out shared server virtualization Westpac to introduce SAP integrated real-time payment system eResearch South Australia switches on largest research storage system in the state University of Queensland professor of computer science, Xiaofang Zhou, told CIO Australia that there is a huge amount of trajectory data generated by systems such as GPS units in trucks or taxis. It plans to combine trajectory data with other sources such as maps and speed camera data. “The question here is what kind of business intelligence we can get from this data. For example, truck companies want to monitor how many hours their drivers are doing before they take a break,” he said. “We can also identity traffic information in real time such as the speeds drivers are travelling on a particular segment of road at any one time.” In addition to the 1TB in-memory, researchers have access to a 12TB machine in Australia. The university is currently in discussions with SAP and a government department on using spatial data in an emergency response scenario. Follow Hamish Barwick on Twitter: @HamishBarwick Follow CIO Australia on Twitter and Like us on Facebook… Twitter: @CIO_Australia, Facebook: CIO Australia, or take part in the CIO conversation on LinkedIn: CIO Australia Related content brandpost The steep cost of a poor data management strategy Without a data management strategy, organizations stall digital progress, often putting their business trajectory at risk. Here’s how to move forward. By Jay Limbasiya, Global AI, Analytics, & Data Management Business Development, Unstructured Data Solutions, Dell Technologies Jun 09, 2023 6 mins Data Management feature How Capital One delivers data governance at scale With hundreds of petabytes of data in operation, the bank has adopted a hybrid model and a ‘sloped governance’ framework to ensure its lines of business get the data they need in real-time. By Thor Olavsrud Jun 09, 2023 6 mins Data Governance Data Management feature Assessing the business risk of AI bias The lengths to which AI can be biased are still being understood. The potential damage is, therefore, a big priority as companies increasingly use various AI tools for decision-making. By Karin Lindstrom Jun 09, 2023 4 mins CIO Artificial Intelligence IT Leadership brandpost Rebalancing through Recalibration: CIOs Operationalizing Pandemic-era Innovation By Kamal Nath, CEO, Sify Technologies Jun 08, 2023 6 mins CIO Digital Transformation Podcasts Videos Resources Events SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe