Big Data & Analytics Innovation

Gain greater insight with data science

November 27th & 28th, 2014Regent Beijing

Confirmed Speakers

• Director, Information System, Reckitt Benckiser• Head of Business Intelligence, Alibaba• Product Architect, Baidu• Director, BI, Tenpay, Tencent• Head of Advanced Digital Analytics, Novartis• Principal Scientist, Philips• CTO, ChinaHR.com• Director, Engineering, Yahoo!

• Director, Business Intelligence, Ctrip • Mgr, IT Solutions Enterprise, Cathay Pacific• Lab Head, Huawei Noah’s Ark Lab• Principal Scientist, Philips• Senior Director, Architect, PPlive• Director, IT, Erdos Group• CTO, Space Matrix• Director, Financial Analysis, itouzi.com

Confirmed Speakers

Past Delegates include

• Chief Information Officer - Coca-Cola

• Chief Information Officer - GE

• Global Head, Analytics - Thomson Reuters

• Director, Analytics - Volvo

• Chief Technology Officer - Societe Generale

• Manager, Data Centre Operations - Unilever

Who Will You Meet?There is no question that IE. provides the gold standard events in the industry and will connect you with decision makers within the analytics industry. You will be meeting senior level executives from major corporations and innovative small to medium size companies.

Job Title Of Attendees

President/Principal

SVP/VP

C-Level

Snr. Director/Director

Global Head/ Head

Snr. Manager/Manager

Academic (1%)

78%

1000+ Employees300-999 Employees50-299 EmployeesLess than 49 Employees

Company Size Of Attendees

8%

11%

25%56% 81%Attendees are

companies with at least 300

employees

3%

21%

12%

42%

13%

8%

Attendees are at Director level or above

F TI L

The Big Data Innovation Summit brings together thought-leaders from the industry for an event acclaimed for its interactive sessions and high-level speakers.As many organizat ions are now work ing with unmanageably large data sets, the importance of using and maintaining an analytics platform which can cope with this scale of information is essential. This presents both a challenge and opportunity as organizations must identify patterns and gain actionable results in order to gain a crucial advantage over competitors. I l lustrated

intermittently with case studies, interactive panel sessions and deep-dive discussions, this summit offers solutions and insight from the leaders operating in the Big Data space. Big Data Innovation will help your business understand & utilize data-driven strategies and discover what disciplines will change because of the advent of data. With a vast amount of data now available, modern businesses are faced with the challenge of storage, management, analysis, visualization, security and disruptive tools & technologies.

About The Summit

Confirmed Speaker Information

Yun JinSenior Director, ArchitectPPLive

Yun is senior director of PPLive who is in charge of PPCloud, the infrastructure of one of the largest online video services serving hundreds of millions video views every day. Before PPLive, he worked in Alibaba building mega scale distributed system supporting data mining, search, risk analysis, and cloud hosting for the largest E-commerce platform in China. Before that, Yun worked in Microsoft's U.S headquarter on various projects. Most notely, Yun was owner of .Net's Garbage Collector and has helped build the world's 10th fastest super computer in 2008. Yun holds Master's degree from DePaul University and Bachelor's degree from Tsinghua University.

Making Big Data Work in the Online Video Industry

PPTV runs one of the world's largest online video services. Hundreds of millions of active users all over the world spend 200 minutes daily on the platform on average. The platform generates tens of Tera bytes of user behavior data and system logs.   

In this presentation, Yun Jin will introduce PPTV's challenge to make the business use of the data, the experience to build a large scale distributed system to process those data, the practice to mine the data for Business Intelligence analysis, guidance for business operations, build recommendation engine and advertisement targeting system, and Quality of Service optimization. Yun will also talk about the problems PPTV is still facing in large data area, and discuss directions to solve those problems.  

Gary Huang is BI Director of Tenpay, Tencent. His current interest is to build a big data platform and its application on-top for Tenpay’s Internet Banking business which covers both online and offline personal finance/payment solutions. He holds a MS degree of biological statistics from Cambridge University, UK and has been focusing on Internet data mining and BI technology since then. Prior to Tencent, he served as various roles in big data for Vipshop, Alibaba and Baidu where he gained expose to search engine, SNS and e-commerce business.

Big Data Applications in Payment

Presentation will include:Payment Business’s Recent Progress

• Business Overview

• Online/Offline Data IntegrationBig Data Analytics

• Data Visualization

• User Profile

• Vendor AnalyticsBig Data Application

• Cross-channel Marketing

• Mobile CRM

Gary HuangDirector, BI, TenpayTencent

Confirmed Speaker Information

Qiang Yang is the head of Huawei Noah's Ark Research Lab and a professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology. His research interests are data mining and artificial intelligence, including transfer learning, planning and activity recognition. He is a fellow of AAAI, IEEE, IAPR and AAAS, and ACM Distinguished Scientist. He has been an invited speaker and conference organizer in several top international conferences on artificial intelligence and big data, and is an editor in chief in several international journals.  He has published three books and over three hundred articles on these topics.

User Modeling in Social Media and Big Data

The ever-growing social networks and social media provide invaluable sources of information for modeling the behavior of users. High-quality user models enable superior services and functions for end users. In this talk, I will present several examples of user modeling based on social networks and social media. I will describe our research in modeling users' information preferences on Microblogs using a novel user message model and discuss our work on extracting users' daily activities, such as dining and shopping, that inherently reflect their habits, intents and preferences. I explain our novel transfer learning solution via a collaborative boosting framework comprising a text-to-activity classifier for socially connected users. I will also describe our research on user modeling in multiple, overlapping social networks in a “composite social network” setting. Finally, I will explain our research on finding social spammers in large social networks.

Qiang YangHead of LabHuawei Noah’s Ark Lab

Darren joined Space Matrix Group in 2011 to provide strategic leadership to   the group’s companies. He is a business-driven, entrepreneurial board level executive with demonstrated experience in planning, developing, and   implementing innovative information and design technology solutions to   address business opportunities and growth in highly creative and design oriented settings. A thought leader in the building design industry for   knowledge management and information technology, he posses solid   technical training, team coaching, project management and is a customer   service expert with a strong ability to connect with non-technical users.Darren holds a Bachelor of Architecture from Carnegie Mellon University.

Big Data, Big BIM, Big Deal

In his presentation, Big Data, Big BIM, Big Deal, Darren will explore the  opportunities for innovation in building design and construction and facilities   management through the utilization of big data and building information   modeling (BIM). The potential for understanding the finite information in a   building during design & construction transfers directly to the finite   information in a building during operation. This data set provides ongoing understanding of the building / facility’s performance including energy, carbon   footprint, building safety, space utilization, ongoing maintenance and all   mapped to time and money. Building design has always involved large   quantities of data, however now with big data and BIM, we are poised to access, analyze and act upon it as a whole.

Darren RizzaGroup CIOSpace Matrix

Herbert ChiaHead of Business IntelligenceAlibaba

Currently leading the business intelligence team for Alibaba (Taoabo, the world largest C2C platform) A Hong Kong native, Chia has spent his life living between the United States, Britain, Australia and mainland China.

Achieving academic success at the UNSW, INSEAD and Tsinghua University, Mr. Chia’s international background has influenced and informed his career enabling a uniquely multicultural eye for innovation. Now, as a globally recognized pioneer in online business, Chia attributes his success to a passion for innovation and an understanding of geographical needs and opportunities.

Previous Speaker Information

Coley Dale leads the Ctrip Data Innovation Labs, which strives to cultivate new processes for increased accountability and profitability across all business units, as well as research opportunities where big data can provide new insights or solve existing problems. He’s worked at Ctrip for nearly 7 years, previously working in various roles in business development and online marketing. Originally hailing from New England, he studied Economics and Chinese at Trinity College, and holds an MBA from the University of Chicago Booth School of Business.

The Role of the Creative in Data Analysis

The power of big data can truly be harnessed if one is able to take risks, question norms, and push the boundaries in organisations of any size. Innovation and the revenue gains that can follow are possible only if the right environment is cultivated and debate encouraged. This talk will bring the audience through the building blocks of such an environment, and explore some examples in the travel industry where the fruits of such innovative thinking are particularly evident.

Coley DaleDirector, Business IntelligenceCtrip

Currently CTO of ChinaHR.com,   a major Chinese online recruitment portal   that aims to offer "perfect match" between employers and job seekers. After getting an advanced degree in the US with a dissertation project of analyzing semantic structure of human language, Lei   SHI joined Microsoft Research Asia,   specializing in the area of natural language processing. Later he became head of search in Yahoo! labs Beijing, leading the R&D for Yahoo! web search product in the US. Lei has extensive experience in applying empirical methods and data driven approach to solving complex problems.

Big Data for "Perfect Match"

The main business of ChinaHR.com is to provide a “Perfect Match” between both job seekers and employers through highly efficient matching mechanism between job seekers profile and employers' advertised jobs. Technology innovation plays an key role to help job seeker find the right jobs more efficiently and in a more cost effective way and vice versa. This presentation will share how ChinaHR.com uses big data to deepen its insights on users behavior of both job seekers and employees, and how it leverages these insights to increase the matching degree between job seekers profile and advertised jobs, and to help its sales and customer service to improve customer

Lei ShiCTOChinaHR.com

Zhen Lei has 9 years experience working in E-commerce & SEM (search engine market). He is currently the Product Architect at Baidu, and is working on "Knowledge Graph" project. Lei obtained MBA degree from Peking University in 2014.

Baidu Knowledge Graph – Link Right People to Right Information

To provide the best and most equitable way for people to find information, Baidu Knowledge Graph focuses on linking people and information. Base on enormous amount of web pages, user behaviors and business cooperation, Baidu built a huge graph of entities and services. Zhen Lei will walk through this project with you and illustrates how this innovation in big data can optimize searching results.

Zhen LeiProduct ArchitectBaidu

Previous Speaker Information

Dr. Jidong Chen is chief data scientist of the big data research center, RenRen Games. Currently he is responsible for research of the data infrastructure and data analytics of games and mobile advertisement business in Renren. Before joining Renren, he was a research manager of Big Data Lab at EMC Labs China. He received his Ph.D. in Computer Science from Renmin University of China. He focuses on big data management and analytics and his research interests include user behaviour analytics, distributed data management, personal and mobile information management.

Big Data Analytics in Mobile Games

These days, big data analytics has become a viable, cost effective way to store and analyze large volumes of data across many industries (e.g., Internet, Retail, Financial, Healthcare, Transportation, Energy). The explosive increase of smart phones and mobile apps has also brought large amounts of data and huge requirements of big data analytics in mobile Internet. In this talk, I will give an introduction of big data analytics, key technology and tools, and some use cases in mobile Internet, in particular, mobile advertisement.

Jidong ChenChief Data ScientistRenren Games

Choo is currently setting up a new Big Data and analytics team in Philips Research China – Healthcare. He received his PhD in Electronic Engineering from the University of London after which he joined the UK Philips research lab in 2007. Since then, he has been working on various research projects, e.g. standardization, genetics applications, home healthcare, and new innovation/ideation development. In December 2012, he relocated to China where his primary focus is analyzing China’s healthcare ecosystem and developing Big Data and analytics use cases for this fast growing market. Choo is passionate in bringing innovation that improves people’s health and wellbeing.

Choo Chiap ChiauPrincipal ScientistPhilips Research

Big Data and Analytics in Healthcare: Use Cases, Opportunities and Challenges

In the healthcare industry, we are usually behind in adopting new technology and so it is the case with Big Data. Having said that, the healthcare industry is an industry where Big Data will enable added-value from the data. In the healthcare industry, data can come from many different systems and sources, such as HIS (Hospital Information System), LIS (Laboratory Information System), EHR (Electronic Health Record), EMR (Electronic Medical Record), RIS (Radiology Information System), genetics information and population data. This data can be in an unstructured, semi-structured or structured format. Simultaneously, some data is generated in real time and has to be analyzed in real time as it becomes a matter of life and death.

The presentation aims to share the use cases, potential opportunities and the challenges that the healthcare industry faces in this Big Data era.

More than 14 years of w/e in internet/software/operation, hands-on background to design large distributed system & support for PB data & thousands servers. I'm focusing on cloud platform & big data @Suning, helping & supporting business to go up to another level.   

How to Use Big Data to Deliver Better Services to Consumers

Suning is the leader in Chinese business enterprise. Integration of the development of online and offline leading the new trend of retail development. In the presentation, Andrew would like to share the experiences of how to use big data to collect, analyse and mine the

Andrew JinTechnical Director, Cloud CenterSuning

The Information

Registration Pricing

F TI L

Ways to Register+852 819 90121 +1 323 446 7673

Big Data & Analytics Innovation Summit

Date: 27th & 28th November, 2014City: Beijing, China venue: Regent BeijingAccommodation: please contact Angela Li at angela.li@regent-beijing.com and quote "Innovation Enterprise".

Click here to register

Silver Pass

$795Access to all sessions &

networking events7 days access to presentations from the

summit via ieOnDemand

$595Early Bird Price(before Sep 19)

Diamond Pass

$1295Access to all sessions, networking

events, annual subscription to all content on the Big Data & Analytics channels via

ieOnDemand

$1095Early Bird Price(before Sep 19)

Gold Pass

$1095Access to all sessions, networking

events & unlimited access to presentations from the summit via

ieOnDemand

$895Early Bird Price(before Sep 19)

1 Day Pass

$495Full access to the sessions to your chosen day of the summit, 7 days

access to presentations from the summit via ieOnDemand

7 dayonline access to event materials

On-Demand Pass

$600Unlimited access to presentations from the summit via ieOnDemand,

including presentations, interviews & the ability to contact speakers

Unlimited access to

ieOnDemand

For larger groups or special requests contact Ryan by calling +852 8199 0121 or email ryuan@theiegroup.com* Team discounts are applicable at the point of registration only.

Group Discount Offers 3 Silver Passes: US$ 1950 (US$ 650 per attendee)5 Silver Passes: US$ 3000 (US$ 600 per attendee)3 Gold Passes: US$ 2850 (US$ 950 per attendee)5 Gold Passes: US$ 4500 (US$ 900 per attendee)3 Diamond Passes: US$ 3450 (US$ 1150 per attendee)5 Diamond Passes: US$ 5500 (US$ 1100 per attendee)

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Prices are exclusive of VAT. Places are transferable without any charge to another Summit occurring within 12 months of the original purchase. Team discounts are applicable at the point of registration only. Any cancellations within a group registration will in turn incur an increase in registration fee for the remaining group participants. Cancellations before October 24, 2014 incur an administrative charge of 50%. If you cancel your registration after October 24, 2014 you will be charged the full fee. You must notify The Innovation Enterprise in writing of a cancellation, or you will be charged the full fee. The Innovation Enterprise reserve the right to make changes to the program without notice. NB: FULL PAYMENT MUST BE RECEIVED BEFORE THE EVENT.

Registration Form

3. Payment Options...

Big Data & Analytics Innovation Summit27th & 28th November, 2014 | Regent Beijing | ChinaFor registration or more information on the program, please call Ryan on +852 81990121, or fax this registration form to +1 (323) 446 7673

Regular Pass Options After September 19, 2014

Regular Silver: US$ 795 Attendees ____

Regular Gold: US$ 1095 Attendees ____

One-Day Pass: US$ 495 Attendees ____

Early Bird Pass Options until September 19, 2014

Early Bird Silver: US$ 595 Attendees ____

Early Bird Gold: US$ 895 Attendees ____

One-Day Pass: US$ 395 Attendees ____

Group Discount Pass Options 3 Silver Passes US$ 1950 (US$ 650 per attendee) 5 Silver Passes US$ 3000 (US$ 600 per attendee) 3 Gold Passes US$ 2850 (US$ 950 per attendee) 5 Gold Passes US$ 4500 (US$ 900 per attendee)

For larger groups or special requests contact Ryan Yuan by calling +852 8199 0121 or email ryuan@theiegroup.com.Group passes only available when all participants register together.

Pass Descriptions:Silver Pass: Access to all sessions & networking eventsGold Pass: Access to all sessions, networking events & unlimited access to ieOnDemandDiamond Pass: Access to all sessions, networking events, annual subscription to all content on the Supply Chain & Finance channels via ieOnDemand

Schedule

Networking Drinks 17.00 - 19.00

28th November

Session One 08.30 - 10.00

Coffee Break 10.00 - 10.30

Session Two 10.30 - 12.00

Lunch 12.00 - 13.30

Session Three 13.30 - 15.00

Coffee Break 15.00 - 15.30

Session Four 15.30 - 17.00

Day Two

27th NovemberDay One 08.30

10.00

10.30

12.00

13.30

15.00

15.30

17.00

19.00

08.30

10.00

10.30

12.00

13.30

15.00

15.30

17.00

Session Five 08.30 - 10.00

Coffee Break 10.00 - 10.30

Session Six 10.30 - 12.00

Lunch 12.00 - 13.30

Session Seven 13.30 - 15.00

Coffee Break 15.00 - 15.30

Session Eight 15.30 - 17.00

F TI L

Sponsors

For sponsorship information contact Lin at eli@theiegroup.comF TI L

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