Date: 24 Feb 2016 (Wednesday)
Time: 5:00 pm – 6:00 pm
Venue: KB316, UTAR Sungai Long Campus, Bandar Sungai Long, Selangor.
Title: Artificial Intelligence Usage in Retail Finance
Abstract:
The subject of Artificial Intelligence (AI) has been rigorously researched and hyped since the dawn of computing. However, its practical usage has been lacking for a few decades. For the last 10 years, the rise of cloud computing and the ubiquity of personal behavioral data breathed new life for AI applications.
This presentation will start with a general historical narrative of AI development and AI's current state. The second part of the presentation will talk about how AI is being used in Moneylion and also several other Financial Tech companies. Finally, we will discuss the dark premonitions of AI by several technology greats.
Speaker: Foong Cheemun, Co-founder and CTO, Moneylion
Biography:
During his professional experience in Simulex, Cheemun worked on building agent-based models and simulations for the US Department of Defense branches and Fortune 500 companies.
His work includes converting economics, psychological and political science theories into mathematical and algorithmic models.
These models were used to build large scale simulations of real world social, political and economic systems. He turned to experimental computational models and databases such as Linda, Jini, Rio and subsequently the mainstay of Big Data such as Map Reduce and NOSQL databases to craft these highly demanding simulations.
Cheemun also architected and helped build the informational scavenging system that mines data from thousands of web sources around the world. The data was then turned into input to various models in his simulation systems.
His work includes converting economics, psychological and political science theories into mathematical and algorithmic models.
These models were used to build large scale simulations of real world social, political and economic systems. He turned to experimental computational models and databases such as Linda, Jini, Rio and subsequently the mainstay of Big Data such as Map Reduce and NOSQL databases to craft these highly demanding simulations.
Cheemun also architected and helped build the informational scavenging system that mines data from thousands of web sources around the world. The data was then turned into input to various models in his simulation systems.
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