South Australian h2o supplier SA Drinking water is poised to expand the use of synthetic intelligence across its operations, revealing options for a details lake and business-huge AI system.
The authorities-owned company has approached the industry to uncover likely methods to fill gaps inside of its data and analytics environments soon after undertaking a stocktake final 12 months.
The exercising followed several many years of financial commitment in a selection of clever technologies initiatives, such as deploying sensors in water pipes that serve extra than 1.7 million persons throughout the state.
“During 2021, SA H2o undertook a method to define cohesive strategies for the administration of information and define how the organisation will leverage synthetic intelligence,” SA H2o stated in a request for information.
The program, aside from defining a reference architecture, “highlighted in which SA Drinking water is at present missing capability” throughout AI, information and storage.
Even though SA H2o already makes use of a assortment of AI instruments, like in just its Microsoft Azure tenancy, they are employed “specifically for presented business models instead than as organization-platforms”.
AI tools incorporate Databricks, Azure Cognitive Companies, TensorFlow, FICO and Darknet, although visualisation platforms include PowerBI, Shiny and Grafana.
Its facts landscape, meanwhile, at the moment “revolves around an on-premises data warehouse architecture leveraging generally Microsoft SQL Server”.
SA Drinking water is now wanting to adopt a hybrid AI working design with a “central core capability”, in accordance to the RFI.
The product, which is not finalised, is also anticipated to align “with the facts management capability”, and be “technically managed and supported through [the] SA H2o technological know-how team”.
SA Water is now “establishing a info and AI governance human body to prioritise funding and an functioning manner to standardise shipping and delivery and support of info and AI solutions”.
It stated that it anticipated to “transition from on-premises tooling to cloud services” as portion of its AI system, but that this was “not a mandated direction”.
At the similar time, it is preparing to modernise and grow its storage ability by optimising its use of on-premises infrastructure and growing its use of cloud providers.