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Big Data & AnalyticsInnovation SummitApril 26 & 27 2017 | Hong Kong

Embed Data Analytics to Fuel Business Growth

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ABOUT THE EVENT

Overview

April 26 & 27, 2017

InterContinental Grand Stanford Hotel , 70 ModyRoad, Hong Kong

#DataAsia

Big Data & Analytics Innovation Summit

The main themes for this year's discussion are:

• Artificial Intelligence & Machine Learning

• Data Automation

• Algorithmic Risk Assessment

• Big Data in using of marketing strategy

The summit connects you with peer core group, leverage yoursenior executives. Open up new opportunity for future partnership.Examine insights and connecting the dots between insights andresults. Participating to a new era of Big Data World, witness the latestdeveloped analyze tools and strategies, stay competitive and aheadwithin the industry.

SPEAKERS AT A GLANCE

Speakers

Confirmed Speakers

Simon Zhang, Principal Data Scientist, Baidu

Georgio Mosis, Head of Innovation Management, Asia, Reinsurance Group ofAmericaJacqueline Teo, Head of IT Integration & Transformation, Telstra

Ritesh Sarda, CIO, Sun Life Financial

Adhish Pendharkar, AVP, Digital Engineering, Manulife

James Chang, Chief Operating Officer, Lazada

Kerr Hatrick, Executive Director, Quantitative Strategist , Morgan Stanley

Patrik Forsström, Head of Business Intelligence Competency Center, CathayPacificAalok Gupta , Head of Regional Learning Academy , Big Data Guest Speaker

Elena Akhmatova, Data Scientist, Chief Data Office & Innovation Labs, Suncorp

Damian Lum, Enterprise Architect , The Hong Kong Jockey Club

Shang-Ling Jui, Director, Intelligence Engineering Dept , Huawei Technologies

Carlos Casanova, Economist , BBVA

Thierry Fabing, Chief Digital & Data Officer , AXA Asia

Huayi Dong , Global Head of Electronic Trading Solutions , Daiwa CapitalMarkets Hong Kong LimitedJack Ko, Head of Market Data & Middleware, Societe Generale

Prolog Leung , Senior Digital Analytics Manager , Sa Sa International HoldingsLimitedWidhadh Waheed, Director of eBusiness , Shangri-La Hotels & Resorts

Lara Roberts , Senior Director, Ecommerce , VF Corporation

Mark Budzinski , CEO, WhereScape

The quality of the speakers is whatsets this summit apart. I will comeagain!

SPEAKERS IN DETAIL

Keynote SpeakersVIEW ALL SPEAKERS

Georgio MosisHead of Innovation Management, AsiaREINSURANCE GROUP OF

AMERICA

Prescriptive Analytics and ItsImpact on InsurTech

Insurance is intersecting with advance analytics tofocus on providing strategic insights into the inter-dependencies in health and wellness outcomes,customer engagement, their preferences andbehaviors, and the efficiency and effectiveness ofoperations.

Prescriptive analytics is an emerging approach whichentails any combination of analytics, math,experiments, simulation, and/or artificial intelligenceused to improve the effectiveness of decisions madeby domain experts or by decision logic embedded inapplications that support professionals and end-customers. In presentation will deal with the veracityand timeliness of data to insure that the decision logicwill operate as expected and decision logic evolvingto improve or maintain its effectiveness.

Adhish PendharkarAVP, Digital EngineeringMANULIFE

Smart Life Insurance ProductsUsing Big Data & Analytics

Often Insurance is complex, slow to adapt and totallyalien to the Millennials. Most of the products areconfigurable on the fly and can be ordered withoutpractically every talking to any human being.Insurance industry has to increase the focus onalgorithmic risk assessment, auto underwriting andcreating products that can be easily configurable anddigitized so that they can be offered to the millennials.In order to achieve such a bio-diversity in thiscomplex and heavily regulated market, learning formthe past and offering sustainable solutions both to theconsumer and company is a constant challenge.Exploring BigData and Analytics is the way to go forbig corporations to be more nimble and adaptable toconstant market changes for new and innovativeproduct development.

Key takeaways: Algorithmic Risk Assessment, DataAnalytics Adapt to Market Changes, ProductInnovation.

John BernsSVP, Head of Data ScienceLAZADA

Rethinking the Data Paradigm

Data is not static, data flows. We live in a torrent ofdata and it’s time that we stopped thinking of data assomething static, facts frozen in time.

We’ll explore the implications of the paradigm shiftfrom using static databases for analysis to usingstreams and how that changes everything.

Key takeaways: Data Streaming

SPEAKERS IN DETAIL

Keynote SpeakersVIEW ALL SPEAKERS

Michal SzczecinskiHead of AnalyticsGOGOVAN

Building Analytics for the Future(Startup Perspective)

In this talk Michal will give retrospective of hisexperiences of building analytics from scratch in astartup and talk about his plans, designs and bestpractices for the future.

He will cover aspects like designing big dataarchitecture, building self serving analytics platform,working on core business defining algorithms anddata products as well as promoting data drivenculture.

Simon ZhangPrincipal Data ScientistBAIDU

Machine Learning & AI on Fast BigData: Challenges and Perspective

In the data-intensive world, the world is becomingmore connective and interactive by internet and IoT,and more machine learning and AI applications,especially, more FinTech applications, are ingestingvast quantities of streaming event data from multiplesources in real time. Actions in millisecond withtransactional insights can make such fast-big dataapplications smarter and fly. Streaming analyticsother than simple reporting or aggregation, i.e.streaming analytics with transactions, is an essentialcompetency to acquire for more fast-big datapipelines. Knowing what’s in your data and acting onit in real time requires an operational analytic systemswith a fast data pipeline capable of handling streamsof data, performing real-time analytics, and takingaction on analytic results. A novel data architecturefor fast big data will be introduced to explore whystreaming analytics with transactions is becomingvital for all machine learning and AI applications,which helps you convert fast data into insight andbusiness revenues.Key takeaways: Streaming Analytics with Data

Patrik ForsströmHead of Business IntelligenceCompetency CenterCATHAY PACIFIC

The Big Data Road-Map forAirlines

Enterprise Data Warehousing, Big Data, CloudComputing and Analytics for the airlines. Withexamples on new opportunities in Fuel Optimization,Preventive Maintenance and Asset Performance etc.

Key takeaways: Enterprise Data Warehousing, BigData, Could Computing & Analytics.

SPEAKERS IN DETAIL

Keynote SpeakersVIEW ALL SPEAKERS

Shang-Ling JuiDirector, Intelligence Engineering HUAWEI TECHNOLOGIES

Machine Learning & DeepLearning - Theory & Practice

Shang-Ling will give an introduction on the ChineseBond Market. To illustrate this will involve several 'usecases' i.e. Enterprise Credit Risk Rating TransitionPrediction using Hidden Semi-Markov Model andCorrelation/Association Analysis using Graphical DataModel.

Key takeaways: Artificial Intelligence, MachineLearning 

Kerr HatrickExecutive Director, QuantitativeStrategist MORGAN STANLEY

Visualizing Big Data in FinancialMarkets

Kerr Hatrick will discuss some of the challenges (andsurprises) of using data visualization to transform datainto insight in order to increase cognitive performanceand enhance decision-making.

Key takeaways: Data Visualisation, Realtime Analytics 

Jacqueline TeoHead of IT Integration &TransformationTELSTRA

Big Data Just Got A Whole LotBigger

In Jacqueline's session on Big Data Just Got AWhole Lot Bigger, Jacqueline will help you to betterunderstand the difficulties for an organisation to blenddata and create the insights needed. She will alsohighlight how you can further your organization'sjourney to be more customer centric and how toutilise relevant data points to build insights that createa competitive advantage.Key takeaways: Big DataChallenges in Telecom Industry, Customer Centric

SPEAKERS IN DETAIL

Keynote SpeakersVIEW ALL SPEAKERS

Ritesh SardaCIOSUN LIFE FINANCIAL

Client Focused Digital AssetsPowered by Data Analytics

In this session, Ritesh will provide insights intomaking client focused, Omni channel digital assetspowered by robust data intelligence and analytics.The power of leveraging existing enterprise gold mineof data blended with unstructured data will shape thefuture of digital assets and provide seamless clientexperience. Key takeaways: Clients focused, DataIntelligence and Analytics, Leverage Existing Data,Digital Assets

Elena AkhmatovaData Scientist, Chief Data Office &Innovation LabsSUNCORP

NLP Markers of Language ofDeception for Insurance Fraud

Insurance fraud, its prevention and investigationresults in yearly losses of millions of dollars.Automation helps when there are time constraints onclaim processing. More importantly it addresses thefact that the majority of people do not detectdeception really well. Usually a base for frauddetection is customers behaviour, length of time ofholding the insurance policy and type of recentmanipulations with it. We use that human feature todetect fraud. We use the features that have beenalready described in literature on the subject oflanguage of deception and introduce new domainspecific features. We describe sentiment, sentencestructure, references to self and other deceptionmarkers in a way that machine learning algorithm canprocess to build a predictive model. The volume ofclaims we have makes our technical solution aBigData solution. Our study shows that linguisticfeatures of deception do help to pinpoint possiblyfraudulent claims for further investigation.Keytakeaways: Insurance Fraud, Human language withBig Data, Automation

Damian LumEnterprise Architect THE HONG KONG JOCKEY CLUB

To Be A Data Centric Enterprise

Data is a key enabler to an enterprise business. Datagives us information to make decisions to drive thebusiness. The question here is: “Is this data centricenough?”Key takeaways: Enterprise Architecture,Data Drives Business Decisions, Data Centric

SPEAKERS IN DETAIL

Keynote SpeakersVIEW ALL SPEAKERS

Carlos CasanovaEconomist BBVA

Chinese Vulnerability SentimentIndex Using Big Data

We use a dynamic factor model, combining daily timeseries from Google’s Global Database on EventsLocation and Tone (GDELT), in combination withofficial data, to monitor systemic risks in China acrossa number of parameters. This model enables us toidentify early warning signals that point towardsstress in China’s economy, helping investors andpolicy makers alike to factor in risks ahead oftime.Key takeaways: GDELT, Modelling, DataImplementing in Economy 

Thierry FabingChief Digital & Data Officer AXA ASIA

Unlocking the Potential of SmartData: The New Game Changer forInsurers?

Thierry Fabing is Chief Digital and Data Officer forAsia at AXA Asia, based at the regional head office inHong Kong. Thierry’s role is to not only to drive thedigital business and build the data foundation buttransform the company into a superior data drivenorganization across the 8 markets it currentlyoperates in the region. Before assuming this positionin Asia in 2015, Thierry was formerly with AXA Francewhere since 2012, he joined to define its digitalstrategy and also drive the onset of its digitalbusiness.

Prolog Leung Senior Digital Analytics Manager SA SA INTERNATIONAL HOLDINGS

LIMITED

From Big Data to Smart AnalyticsSolution

In the recent years, "Big Data" is a common topicacross different perspectives. However, how can wefully utilize the storage and collection of big data tofacilitate business decision?This session will share the smart analytics solution bythe formation of data modeling and strategy, and willalso demonstrate real business cases on how toapply actionable insight to hack the eBusinessgrowth.Key takeaways: Big Data Storage FacilitateBusiness Decision, Data Modelling and Strategy,eBusiness

SPEAKERS IN DETAIL

Keynote SpeakersVIEW ALL SPEAKERS

Jack KoHead of Market Data & MiddlewareSOCIETE GENERALE

Big Data, Another New Technologyor Not?

Jack is leading the market data team for SocieteGenerale in Asia Pacific. The team is responsible forboth commercial and technical aspects of marketdata services. Jack is also leading the innovationprogram that aims to promote innovation as aculture, as well as engaging new technologystartups.Jack joined Societe Generale late 2006. He wasappointed as the Head of Network and Telecom forAsia in 2010, then changed into the market data fieldacting as the Head of Market Data and Middlewaresince 2015. Prior joining Societe Generale in HongKong, Jack was working for an IT consultancy firmbased in Australia for 4 years specializing in NetworkSecurity.

Widhadh WaheedDirector of eBusiness SHANGRI-LA HOTELS & RESORTS

Data in Experience Marketing

Evolving customer experience strategy throughautomation and the use of data to provide moremeaningful interactions with people as individuals.Keytakeaways: Data Automation, Customer Experience

Huayi Dong Global Head of Electronic TradingSolutions DAIWA CAPITAL MARKETS HONG

KONG LIMITED

Algorithmic Trading and Big Data

Algorithmic Trading can be considered as FinTech0.5, where technology completely revamped andupdated a whole manual industry. Traditionally algoshave always relied on time series data such as price,executions, venue specific changes to predict andexecute on client’s behalf. With the advent of BigData, more analytics can be performed on a muchlarger pool of data that will improve executionexcellence.Key takeaways: Algorithmic Trading, FinTech, Big Data and Analytics 

SPEAKERS IN DETAIL

Keynote SpeakersVIEW ALL SPEAKERS

Bryan ChauDirector, IT Infrastructure ARROW ELECTRONICS

Big Data Challenges in ModernBusiness World – an Arrow CaseStudy

In today’s world, customer is demanding a muchfaster and effective delivery service from provider.Bryan will present a case study on how IT can helpdifferent Arrow businesses to utilize new technologiesand big data tools to improve the business processon reporting, intelligence and logistic perspective.Keytakeaways: IT Technologies with Big Data Tools 

Michael K CheungSenior Director, Data ScienceCHINA TOP 3 INTERNET COMPANY

How Machine Learning Will CreateCompetitive Advantage and ItsLimitations

Fueled by technological breakthroughs, MachineLearning is often cited as imminently disruptingindustries. How can it be leveraged as a source ofcompetitive advantage and what are the limitations?

Kennis Chun Vice President, Market insight &Customer Intelligence HKT

Using Data To Drive Hong Kong'sTelecoms Market

The HKT Trust and operating arm of HKT, which runsHong Kong’s largest fixed-line and mobiletelecommunications networks, has seen a rise ofvirtual and augmented reality applications, likePokemon Go, boosting broadband use afterreporting modest interim earnings growth. In thispresentation, Cecil will discuss his experience indriving eCommerce through data insights fromincreased network usage.Key takeaways: Data witheCommerce

SPEAKERS IN DETAIL

Keynote SpeakersVIEW ALL SPEAKERS

Chuen Cain SeowDirector, Customer SolutionsWHERESCAPE

The Modern Data Warehouse(Let’s Do It Right This Time)

The phrase “data warehouse” no longer refers to amassive relational database used to store data fromtransactional systems. The rise of Hadoop clusters,sensor and streaming data from IoT devices havechanged the data warehouse landscape significantly.Still, data integration remains the #1 challenge.

The traditional approach and tools for datawarehouse projects have been slow and ineffective.What are the chances of success if they are used inthe modern data warehouse or data lake projects?Are there better ways to deliver projects to achievefaster speed and lower cost? WhereScape says youcan!

Data warehouse automation encompasses all coreprocesses of data warehousing including design,development, testing, deployment, operations,impact analysis and change management. It’s a wayof thinking!

Key takeaways: Data Integration, Data Warehouse

Olivier Kuziner Managing Director EKIMETRICS

Ekimetrics Culture From DataScience to Offices

Olivier is in charge of Managing activities in APAC forEkimetrics. He has Accomplished 10-year experienceManager with strong customer focus and businessacumen. He recognised leadership in project andteam management supported by remarkableinterpersonal skills. He has solid sales developmenttrack record with proven knowledge in forecastingand reporting. With advanced expertise Luxury,Retail, ITT, Energy and Transport sectors. 

SCHEDULE AT A GLANCE

Schedule

Day 1

07:30 Registration & Light Breakfast

08:50 Chairperson Overview

09:00 Keynote

10:30 Coffee Break - Exhibition Area

11:00 Session

12:30 Lunch

14:00 Session

15:00 Coffee Break - Exhibition Area

15:30 Session

17:00 Networking Drinks - Exhibition Area

Day 2

08:00 Registration & Light Breakfast

08:50 Chairperson Overview

09:00 Keynote

10:30 Coffee Break - Exhibition Area

11:00 Session

12:30 Lunch

14:00 Session

15:00 Coffee Break - Exhibition Area

15:30 Session

17:00 End of the Summit

Key

CHECK INAn opportunity to check yourself into the event and meetother leaders in your industry ahead of the day

KEYNOTEListen to actionable case studies largely brought to you byFortune 500 companies

SESSIONListen to actionable case studies largely brought to you byFortune 500 companies

COFFEE BREAK & LUNCHA chance to sit down, network and connect with decisionmakers within the industry

NETWORKING DRINKSA more relaxed environment in which to engage with allattendees and gain valuable connections

It’s an exciting event with a good composition�of speakers and quality audience. I myself got�some very fresh ideas.

Exhibitor News Distribution Partner Media Partner

Media Partner Media Partner Media Partner

SPONSORS AND PARTNERS

Sponsors

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sponsorship@theiegroup.com+1.415.692.5498 +44.203.868.0314

REQUEST TO SPONSOR

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Chairing Sponsor Bronze Sponsor Associate Sponsor

SPONSORS AND PARTNERS

Sponsors

For sponsorship & partnership opportunities contact me

sponsorship@theiegroup.com+1.415.692.5498 +44.203.868.0314

REQUEST TO SPONSOR

Media Partner Media Partner Media Partner

Media Partner Media Partner Media Partner

SPONSORS AND PARTNERS

Sponsors

For sponsorship & partnership opportunities contact me

sponsorship@theiegroup.com+1.415.692.5498 +44.203.868.0314

REQUEST TO SPONSOR

Media Partner Associate Sponsor

SPONSORS AND PARTNERS

Sponsors

For sponsorship & partnership opportunities contact me

sponsorship@theiegroup.com+1.415.692.5498 +44.203.868.0314

REQUEST TO SPONSOR

WHO ATTENDS OUR EVENTS

Who Attends

WHO ATTENDS OUR EVENTS

Who Attends

TICKETS AND PRICING OPTIONS

Tickets

Buy a group of at least 3 passes to receive up to 25% offInterested in attending? Register online or contact Ryan Yuan

ryuan@theiegroup.com+852 5808 1636

GROUP PASSES REGISTER ONLINE

PURCHASE AN ON DEMAND PASS HERE**Recordings and presentations available subject to speakers consent.Innovation Enterprise reserves the right to add and remove video content

REGISTER FOR THE EVENT

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2017 Asia CalendarMarch Location Expected Attendees DatesBig Data & Analytics Innovation Summit Singapore 250+ March 1 & 2AprilBig Data & Analytics Innovation Summit Hong Kong 150+ April 26 & 27Digital Marketing & Strategy Innovation Summit Hong Kong 100+ April 26 & 27CFO Rising Summit Hong Kong Hong Kong 100+ April 26 & 27JulyChief Data Officer Summit Singapore 120+ July 4 & 5CFO Rising Summit Singapore Singapore 100+ July 4 & 5Chief Innovation Officer Summit Singapore 120+ July 4 & 5Chief Strategy Officer Summit Singapore 100+ July 4 & 5SeptemberChief Innovation Officer Summit Shanghai 100+ September 6 & 7Big Data & Analytics Innovation Summit Shanghai 100+ September 6 & 7Digital Marketing & Strategy Innovation Summit Shanghai 100+ September 6 & 7NovemberBig Data & Analytics Innovation Summit Beijing 150+ November 22 & 23Digital Marketing & Strategy Innovation Summit Beijing 100+ November 22 & 23

SponsorshipOpportunities

Lin Duanlduan@theiegroup.com

+852 5808 1640

DelegateInvitations

Ryan Yuanryuan@theiegroup.com

+852 5808 1636

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