Vudoo, a global interactive video and content commerce pioneer, and the University of Technology Sydney’s Data Science Institute will combine forces to develop an AI-based recommendation engine to derive deep insights on user consumption of video content.
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 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.
Data used on the project is completely anonymised.
“Ultimately, we want to unlock a powerful prediction and AI engine to help other brands get to outcomes faster based on the data we collect,” said Nick Morgan, Vudoo CEO and founder.
According to Safa Ghannam and Professor Farookh Hussain, UTS School of Computer Science Research Fellow and Head of Software Engineering, respectively, the project was timely with the adoption of AI and Machine Learning on the rise.
With vast expertise in data science, it was, they said, important UTS lead the way in finding practical applications for related research –partnering with innovative startups like Vudoo being an ‘ideal way’ to achieve this.
