Special Offer: Get 50% off your first 2 months when you do one of the following
Personalized offer codes will be given in each session
Name
Kane Wu
Title
Founder of ThinkCol, and Chairman of the Hong Kong Data Science Society
Bio
Kane is the Co-Founder and CEO of ThinkCol Transform (https://thinkcol.com) – one of Hong Kong’s first specialized data science consultancy firms. Over the years, he has advised and built AI solutions for many industry powerhouses from various fields, such as Li and Fung, Lenovo, A.S. Watson and CK Hutchison. Managing data scientists, UI/UX designers and business analysts, Kane leads ThinkCol Transform to enable business to be more AI driven.
Kane has been promoting data science in Hong Kong continuously. He is the chairman of the Hong Kong Data Science Society. Apart from lecturing at HKU Space, Kane has spoken in multiple international conferences and headed executive trainings on artificial intelligence.
Being a seasoned digital consultant, a Certified Public Accountant and a New York attorney, Kane has the unique ability to manage multi-disciplinary ventures. He takes pride in using his technical know-how to transform companies, so that they can be data-driven and innovative entities.
Kane’s specialities include: data science, artificial intelligence, data analytics, web analytics, data visualization, predictive modelling, innovation, trend forecasting, transformation, machine learning, deep learning.
Kane has been promoting data science in Hong Kong continuously. He is the chairman of the Hong Kong Data Science Society. Apart from lecturing at HKU Space, Kane has spoken in multiple international conferences and headed executive trainings on artificial intelligence.
Being a seasoned digital consultant, a Certified Public Accountant and a New York attorney, Kane has the unique ability to manage multi-disciplinary ventures. He takes pride in using his technical know-how to transform companies, so that they can be data-driven and innovative entities.
Kane’s specialities include: data science, artificial intelligence, data analytics, web analytics, data visualization, predictive modelling, innovation, trend forecasting, transformation, machine learning, deep learning.
