In our hyper-connected world, big data has become a regular feature of the language of business as companies are beginning to harness information to generate insights and deliver meaningful results both in terms of creating value and driving sustainability.
This event can help you demystify big data and understand how data science can help drive sustainability. It will share with you cases of businesses that capitalised on this growing trend to maintain competitiveness in the global market, boost long-term profitability, and improve sustainability performance. It will cover the following areas:
- An understanding of the term big data and data science
- A discussion of the opportunities big data can offer to companies of all sizes
- Practical cases of leveraging big data insights to provide tangible outcomes
Speakers:
Mr Mart van de Ven, Director & Principal Data Scientist, Droste
Explaining big data and data science, and ways that companies use big data to identify opportunities, and drive innovation and efficiency.
Mr Alex C.K. Chan, Head, Hong Kong Team, Energy and Sustainability Services, Schneider Electric Asia Pacific Limited
Sharing cases of companies using rich data in a smart way to capitalise on opportunities to improve sustainability performance and capture value.
Moderator:
Mr Tyler Holland, Sustainability Director, En-trak
Registration:
Date | 22 June 2017 (Thursday), 4:00pm - 6:00pm |
Fee |
BEC Members: Free Non-BEC Members: HK$200 per head |
Venue |
BEC Auditorium, G/F, 77 Tat Chee Avenue, Kowloon Tong, Hong Kong |
Rundown |
4:00pm Registration and Networking with drinks |
Thank you for your support, the event is FULL HOUSE now.
For enquiry, please contact Ms Jill Chow (T. 2784 3942 | E.jill@bec.org.hk)
Remarks
(1) Registrations are subject to final confirmations from BEC
(2) Registrations of non-BEC members are subject to seats availability, after allowing for members’ registrations
(3) BEC reserves the right not to accept any registration, at its sole discretion and without the need to give explanations