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Time Agenda
09.00 - 09.30 Registration
09.30 - 10.00 Opening Keynote: Getting Tangible Value From Big Data

Big Data has been the hottest topic in corporate boardrooms in the past two years. Many companies have started on a Big Data journey, but not everyone has derived clear value from it yet. While we see IT as an important part in getting Big Data off the ground, we have found that setting a clear vision, building a data-driven culture, and organizing talent are even more important. In this session, we will share case examples on how leaders in the industry are implementing their Big Data programs, and learning for companies at various stages of their Big Data journey.

Mr. Alan Lau
Senior Partner, Head of Technology Sector, Greater China
McKinsey & Company

10.00 - 10.40 Keynote 1: Converged Infrastructure For Big Analytic

Big data is typically defined as data that is beyond an organization's ability to store, process, and analyze using its current tools or infrastructure. Although there are challenges, big data also presents opportunities to get new and different insights, but it also introduces challenges, such as management, availability and recovery, and efficiency. NetApp and Cisco will introduce a best in class open platform that benefits your evolving ecosystem.

Mr. Leo Chan
Consulting System Engineer, Data Center & Virtualization
Cisco Greater China


Mr. Chan Tsz Hong
Senior System Engineer

10.40 - 11.10 Keynote 2: Build A Scalable And Visible Big Data Network

Big Data provides a tremendous help to organisations making critical decisions that drive their businesses. The Big Data framework is comprised of distributed file systems, databases, and data mining algorithms. Successful Big Data deployments require a highly scalable, high-performance, and easy to manage network. Arista Networks remove the bottlenecks by implementing non-blocking designs and deep per-port buffering, and reduce OpEx through LANZ troubleshooting, zero-touch provisioning and dynamic topology configuration. Arista Networks enable an organisation to build clusters that keep up with the growth in data, minimize operational expenses, and deliver sophisticated data analytics.

Mr. Addison Chi
Solutions Architect, Greater China
Arista Networks

11.10 - 11.40 Keynote 3 : Big Data Streaming With Operational Intelligence

Today, Sensors, meters, GPS systems, web log, QR code, social networks and more are creating new streams of data. All of this can be mined, and it is the sheer breadth and depth of this information that is creating a wealth of opportunity, Data Integration and data management are at the heart of marking sense of big data by getting closers to the customers in a real time manner. In this session, Informatica will show you how to timely integrate the data, monitor the pattern change while protecting the sensitive data being collected.

Mr. Derek Leung
Pre-Sales Manager

11.40 - 11.55 Morning Networking Coffee Break
11.55 - 12.25 Keynote 4: How To Get Big Value From Big Data

There is a great deal of both hype and confusion about the impact which 'Big Data' is having on data warehousing and analytics. Big Data is not just about new types of data, or how data is stored, but also the new types of analytical techniques which can be deployed, and the skills which are needed to get value from them. This session aims to separate the hype from the reality and explain how organisations can use Big Data to understand their customers better, increase sales, improve efficiency, and drive real business value.

Mr. James Hunt
Senior Finance Industry Consultant

12.25 - 13.10 Insights Panel One: Big Data And Analytics: Turn Big Data Into Enterprise Productivity

Panel Chair:
Dr. Toa Charm, Chairperson, BI & Big Data Special Interest Group & Director, Professional Development (Council Member), Hong Kong Computer Society

Executive Panelists:
Mr. Edwin Yuen, Adjunct Associate Professor, University of Hong Kong & Formerly Chief Analytics Officer, Bank of China
Mr. Wayne Pales, Head of Smart Grid Program, CLP Power
Mr. Anil Raparthi, Business Intelligence Lead, APAC, Fossil
Mr. Eric Meeks, Head of CRM Analytics, MRM // McCann

13.10 - 14.20 Networking Luncheon Roundtable (By Invitation Only)
Sponsored by CITIC Telecom CPC
Topic: Best Infrastructure To Support Big Data

Today Big Data is undoubtedly a hot topic in IT. To derive real business value from big data, you not only need the right tools to capture all data types and to analyze it, but also the power behind the tools - a flexible, scalable and secure infrastructure.

With the trusted infrastructure, you will be able to cope with the challenges of big data - the large volume, wide variety, and security concerns. So, it's crucial for you to choose the right infrastructure services provided based on best practices, so that you can enjoy an efficient and reliable infrastructure to support your big data needs.

Mr. Daniel Kwong
SVP, IT & Security Services
14.20 - 15.05 Insights Panel Two: Big Data Transforms Security

Panel Chair:
Mr. Terence Tang, Partner, Enterprise Risk Services, Deloitte

Executive Panelists:
Mr. Fuller Yu, Head of Technology Risk, Group Technology & Operations, AIA Group
Mr. Lewis Tam, CISO, Ping An Insurance (Group) Company of China
Mr. Lim Shih Hsien, Head, Information Security, The Hong Kong Jockey Club

15.05 - 15.35 Keynote 5: Disruptive Big Data-Driven Business Models

Big data is a hot topic these days among not only technologists but also business leaders in the West and the East. Almost all industries, from financial services, retail, hospitality to healthcare, CPG, transport, just name a few, are being or will be soon disrupted by big data. Internet-savvy companies like Google and Alibaba, big data start-ups like Zest Finance and "rong" 360, traditional companies like GE and Haier, and financial services institutions like Citibank and Ping An, are all making use of big data to create their business models to disrupt the rules of our games, win the heart of our customers, innovate new products and services, and make faster and better decisions at right time. In this session, the speaker will analyze the success factors of these big data-driven business models and what Hong Kong companies can learn from them.

Dr. Toa Charm
Chairperson, BI & Big Data Special Interest Group & Director, Professional Development (Council Member)
Hong Kong Computer Society

15.35 - 15.50 Afternoon Networking Coffee Break
15.50 - 16.35 Insights Panel Three: Leveraging Data And Analytics For Customer-Centricity And Innovation

Panel Chair:
Mr. Alessio Marinelli, Director of Analytics, Advanced Merchant Payments

Executive Panelists:
Ms. Minda Liu, Head of Decision Science, China Construction Bank
Mr. Darren Fifield, Regional General Manager, APAC, Marketing Solutions, eBay Enterprise
Ms. Malou Caluza, Director for Operations & Chief Marketing Officer, Qnet
Mr. Dave Chan, Regional Director, Business Intelligence, UBM

16.35 End of Conference
*Topic is subject to change without prior notice
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