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Machine Learning

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Attribution models – improving marketing and sales performance in a pandemic

Attribution models – improving marketing and sales performance in a pandemic

An attribution model is a framework for analysing which touchpoints – or marketing channels – receive credit for a conversion. Marketing departments have been tracking and monitoring their advertising and promotions spend trying to establish the lead source, an ROI or sales pipeline for decades. What is new, is the use of AI and machine learning (ML) to deliver a more precise and reliable attribution model. This leads to an attribution model in which the model is continuously trained, giving organisations the added assurance that their marketing investment decisions are based on current information – including the impacts of living through a pandemic.

Please welcome Novigi Br(ai)n to the table

Please welcome Novigi Br(ai)n to the table

The Association of Superannuation Funds Australia’s (ASFA) August National innovation discussion group had an unusual guest seated at the table. Br(ai)n — Novigi’s cloud based artificial intelligence and machine learning solution — was an active listener to the robust discussion around The State of Innovation in the Superannuation Industry.

Machine Learning and AI in Superannuation

Machine Learning and AI in Superannuation

Machine learning (ML) and artificial intelligence (AI) will disrupt all manner of industries, and superannuation will be no exception. Following on from the last ASFA discussion group on data science, Head of Data Services at Novigi, Terence Donnelly presents our latest blog on how ML and AI might find applications in superannuation, and what this will mean for funds.

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