Kōkako uses machine learning to monitor the proportion of Māori language broadcast on New Zealand’s iwi radio stations.
Dragonfly is a company based in Wellington, New Zealand which is built around statistics and data science. Abraham describes Dragonfly as having, "an analytical skill set and an appetite for software development".
Te Māngai Pāho is an agency that promotes Māori language and culture through funding initiatives in music, radio, television and new media. Only 2% of New Zealanders converse fluently in Te Reo Māori and Te Māngai Pāho are trying to increase this statistic.
The agency funds radio stations that broadcast more than 10.5 hours of Māori language content per day. Having people monitoring 21 iwi radio stations by ear is not an efficient use of their time or funds. Te Māngai Pāho requested Dragonfly to build an application that could automate this labour intensive monitoring process.
Dragonfly went ahead and built Kōkako on the Catalyst Cloud. Named after a rare New Zealand songbird, the cloud native application uses artificial intelligence to listen to all radio stations simultaneously and determine whether the language being spoken is Māori or English. It then allows radio stations and Te Māngai Pāho to visualise the information through a very intuitive interface.
How did the Catalyst Cloud help Dragonfly in this business venture?
Dragonfly chose the Catalyst Cloud to hold their data. It established hourly transfers of iwi radio from Ngā Taonga Sound and Vision (the flim and media archive based in Wellington) into the object store. Having the Catalyst Cloud in use meant that Dragonfly has saved money with data transfer, by not having to transport large audio files to cloud services overseas.