In an effort to inform, inspire and connect Big Data & Analytics practitioners across industries, Forward Leading is hosting the Big Data & Machine Learning Leaders Summit on December 6 & 7 at the InterContinental Grand Stanford Hong Kong.
This Summit has been successfully hosted in Sydney, Boston and Singapore throughout the past year and will be returning to Asia for the 3rd time. The 2018 Hong Kong edition will gather 120 innovative data leaders from the likes of Alibaba, AXA, LinkedIn, Standard Chartered Bank, American Express, Alliance Bernstein, L’Oréal, Genting.
Organisations from tech giant Alibaba to financial services company Standard Chartered Bank, are transforming their business by making better use of data science and analytics. To mark Fintech in this year’s summit, the organiser has teamed up with leading financial organisations including AXA, American Express, Alliance Bernstein and Anypay (a leading Japanese digital agency) to deliver an important session focusing on how big data technology has transformed the finance sector.
Jayatu Sen Chaudhury, VP, Global Commercial and Merchant Data Science from American Express will showcase how Amex has adopted Big Data and its core processes in risk, fraud, marketing analytics and operations; Alliance Bernstein’s Chief Data Scientist – Jeffrey Yau will deliver a workshop on Time Series Forecasting Using Recurrent Neural Network and Vector Autoregressive Model: When and How; Ashok Krishnan, AXA’s Chief Data Officer & Head of Customer Experience will share his insights on The Guidance to Data Management and Governance Functions.
AnyPay is trying to develop a technology that allows Initial Coin Offering (ICO) projects to be structured and executed successfully. As the Chief Data Officer, Kamita Nakazawa will reveal the machine learning and blockchain technologies behind this.
To view the full agenda, please visit website here.
To watch a previous keynote at this summit, please click here.
To register a seat, please click here. (Get 20% off with Code “Fintech20”)
