Vudoo, a global interactive video and content commerce company, and the University of Technology Sydney’s Data Science Institute will combine forces to develop an Artificial Intelligence-based recommendation engine to derive deep insights on user consumption of video content.
The project, 'Deriving deep insights from user behaviour based on interactive videos', aims to better understand how customers interact with videos and develop strategies to unlock the value of data in Google’s BigQuery data warehouse based on six years’ worth of data from Vudoo.
The data source has no personal identifiers and comes from a range of customers who have executed unique video journeys on the Vudoo platform.
Nick Morgan, Vudoo CEO and founder, said ultimately, the partnership wants to unlock a powerful prediction and AI engine to help other brands get to outcomes faster based on the data it collects.
“Predictive models can also be used to help serve our new and existing customers better," he said.
“Data used on the project is completely anonymised and we can assure all our customers and users of the utmost privacy and confidentiality when using our platform."
According to Safa Ghannam, UTS School of Computer Science research fellow and professor Farookh Hussain, head of software engineering, the project was timely with the adoption of AI and machine learning on the rise.
"UTS was interested in the unique set of data points that Vudoo has been collating in the behavioural analytics space, interactions, and attention metrics around video usage," they said.
"With vast expertise in data science, it’s important we lead the way in finding practical applications for our research, and partnering with innovative startups like Vudoo is an ideal way to achieve this."
The project is backed by a $50,000 Entrepreneurs’ Programme federal grant secured by Vudoo, which will top-up an additional $96,000 to the research and development collaboration with UTS.
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