Oxford Immune Algorithmics Wins International Ai Competition To Predict Etihad’s Cash Flow Validating OIA’s Ai Predictive Algorithms

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Oxford Immune Algorithmics (OIA) has been announced the winner of Etihad’s AI international competition. Etihad Group Finance, owner of award-winning Abu Dhabi-based Etihad Airlines, held the competition with partners such as HUB71 and Accenture (Fortune Global 500) that also attracted other major, international competitors from around the world. OIA competed against these companies, Etihad’s own data analytics department and Accenture itself.

This new accolade demonstrates how the AI algorithms developed by OIA to solve problems in genetics and molecular biology as published in top academic journals can be translated to an industry challenge for time series prediction in a completely different context.

“OIA’s excellent technical ability in reviewing the raw data and ability to derive business insights clearly helped Oxford Immune Algorithmics develop a more accurate model than other competition participants, who took more generic ML modelling approaches”​

Etihad’s AI international competition Team

This new achievement provides further validation of OIA’s causal predictive algorithms used in their flagship product Algocyte for precision medicine and health diagnosis. The algorithms required little adaptation to this problem and outperformed all other competitors. OIA will be awarded $10,000 USD and has been invited to implement the forecasting platform for Etihad’s Aviation Group at a global scale. 

“The competition spearheads OIA’s delivery of world class AI to an international airline brand that will enhance its predictive financial forecasting with OIA’s algorithms. The announcement highlights the leading position of the company and their founders, former researchers of the University of Oxford spearheading AI for causal prediction.”​

Dr. Lionel Khalil, CFO of ​Oxford Immune Algorithmics

The competition’s objective was to enable a Machine Learning solution that would leverage an integrated repository of financial & operational data across three areas; time horizon, accuracy, and level of detail. The goal was to predict Etihad’s unpublished data with an accuracy equal to or greater than 90% compared to actual time series data taking into account previous history, to assist in managing the company’s liquidity with minimal intervention. The competitors were free to select internal or external variables and come up with a comprehensive adaptable model.

The proposed solution specified the use of advanced analytics to inform predictive cash flow forecasting, automation to enable semi-automated construction of cash position & projection of future cash flows. Oxford Immune Algorithmics delivered the winning solution.

Oxford Immune Algorithmics (OIA) is an award-winning Bio and MedTech company incubated by the University of Oxford with a mission to rid the world of preventable diseases. It operates multi-nationally to build technology that moves healthcare away from its reliance on population-wide symptom pattern matching and toward value-based precision medicine and personalised diagnostics.

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