Predicting sewer chokes through machine learning 1 Nov By B Cameron, M McGowan, C Mitchell, J Winder, R Kerr and M Zhang. First published in Water e-Journal Vol 2 No 4 2017.
Sydney academic issues warning over lack of water quality data 28 Aug Sydney’s drinking water catchment is suffering from a serious deficit in water quality sampling sites, according to one co-author of the 2016 … Read more
How Australian utilities are getting it right the first time 16 Aug Real-time data is being harnessed by Australian utilities to bolster decision-making processes, response times and workforce deployment thanks … Read more
AI could be the future of decision-making in the water industry 10 Aug A South Australian researcher has developed a way to use artificial intelligence (AI) to solve stormwater system management and other problems … Read more
5 ways the water industry is ready for a big data revolution 8 Aug As the digital capabilities of water industry organisations grow by leaps and bounds, questions about the use and management of big data are … Read more
Does the water industry need to collaborate more on big data? 1 Aug The water industry is drowning in big data, which means collaboration between utilities, research centres, universities, governments and … Read more
