With reams of data and market research already at their fingertips, some consumer companies are understandably skeptical about the much-hyped promise of social-media information and other Consumer-facing companies must be able to gather and manage the right data, turn it into insights, and translate those insights into effective frontline action. Others see the potential but are cautious about making large IT investments, especially as they recall their experiences with customer-relationship management systems that proved difficult to integrate into their business processes. In this session, the speaker will discuss and share his insights with us for the following areas:

Session topics:

• Can big data and advanced analytics truly deliver more useful insights than existing tools?
• Will the return on investment from large-scale data warehousing and IT systems make a meaningful difference to the bottom line?
• The potential of big data and advanced analytics for the retail and CPG industries, and what it takes to turn this potential into actual value?

Working with big volumes of data is a complicated task, but it's even harder if you have to do everything in real time and try to figure it all out yourself. Over the past decades many projects and cloud services helped solve problems within the data analytics lifecycle around ingestion, storage, processing and visualisation of data. This session will use practical examples to discuss best practices and lessons learned when solving real-time analytics and data visualisation decision-making problems at scale with the power of the AWS cloud. It includes a demo visualising live data streams at scale.

Olivier Klein
Solutions Architect
Amazon Web Services

The Cloud and Big Data continue to grow in importance. Enterprise networks are becoming critical facilitating factors in the successful implementation of your Cloud and Big Data strategies. Commercial deployment of Network Functions Virtualization (NFV) and Software Defined Networking (SDN) are providing enterprises with highly effective solutions for migrating traditional networks to the Cloud. This keynote presentation will share the latest developments in the fields of NFV and SDN, as well as describe how enterprises can transform their networks to meet the challenges of today and tomorrow.

Patrick Ng
Executive Vice President, Global Network Business Division
NTT Com Asia

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 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, reduce operational expenses, and deliver sophisticated data analytics.

Addison Chi
Solutions Architect Greater China
Arista Networks

Today almost every Enterprise having the challenge in how to accelerating the business and IT transformation within the organization. How to be Faster, Smarter and be innovative for your new business and together how to lower the IT cost in building a Cloud infrastructure with simplicity and agility is always the key of success. Cloud demand a new infrastructure approach and Flash is the answer. This session will highlight how Flash can transform your next 5 years data center strategy and together bring your Cloud infrastructure into a new Era.

Wallace Fung
Technical Director, HK, Macau & Taiwan
Pure Storage

Panel Chair:
Geoff McClelland, Program Director, CIO Connect HK

Executive Panelists:
Jake Sims, Head, Technology & Architecture, Cathay Pacific Airways
Wayne Moy, IT Director, DDB Group
John Harrison, General Manager, Technology and Process, Jardine Aviation Services Group
Manuel San Miguel, VP, Asia Infrastructure Services & Technology Office, Manulife Financial
Mai-Wah Cheung, Group CIO/ CTO, Digital Business, Next Media

Cindy Maike
General Manager of Insurance
Hortonworks

and

Adam McCarthy
Director & General Manager
Rackspace Asia

Panel Chair:
Dr. Toa Charm, Chairperson, FinTech SIG; Chairperson, BI & Big Data SIG; Vice President, Hong Kong Computer Society

Executive Panelists:
Anil Raparthi, Business Intelligence Lead, APAC, Fossil
Caroline Lacocque, SVP, Innovation & Client Centric Solutions, HSBC
Christopher Brewer, Head, Customer Engagement, OgilvyOne Worldwide
Alex Zhang, Head, Customer Intelligence, Prudential
Eric Johnson, Director of Business Intelligence & Innovation - Strategic Analysis, Sands China

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. What does big data mean to business leaders and executives? Big data is not just a new technology or a system. It is about business transformation and monetization opportunities. Big data promises to transform an organization from a retrospective, batch, data constrained, monitor the business environment into a predictive, real-time, data hungry, and optimize the business environment. It leverages the unique and actionable insights gleaned about your customers, products, and operations to rewire our value creation processes, optimize our key business initiatives, and uncover new monetization opportunities. Dr. Charm will share with the audiences how to innovate business models with big data and monetize their investment on big data program.

Dr. Toa Charm
Chairperson, FinTech SIG; Chairperson, BI & Big Data SIG; Vice President
Hong Kong Computer Society

In the absence of a unitary set of international laws dealing with data security, data protection, cross border data transfer and the limits to data analytics, the law will probably always be blamed for being behind the curve in handling questions of Cloud development. Whilst this is easy to complain about, the resulting complexity is laden with legal and operational risks. In this session the speaker will draw together some of the main legal problems in the Cloud and Big Data environment and seek to plot a way through them. He will also ask whether upcoming regulation in the EU, and the promise of the bringing into force of Hong Kong's Section 33 of the Personal Data (Privacy) Ordinance, will improve matters.

Peter Bullock
Partner
Pinsent Masons