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DISCOVER THE BUSINESS VALUE OF BIG DATA! 3 rd Edition 3-4 December 2013 The Westin Grand, Munich, Germany Silver Sponsor: The Trusted Big Data Event from the producers of the Cloud World Series Featuring an outstanding line up of 30+ global Big Data Innovators including: Hear the Big answers to your pivotal Big Data Questions: Sverre Jarp CTO, CERN Wouter De Bie Team Lead Analytics and Data Infrastructure, Spotify Oliver Muller BI Leader, Procter & Gamble Juergen Urbanski Chief Technologist Big Data and Cloud, Deutsche Telekom Group Steffen Krause Technical Evangelist, Amazon Web Services Tatiana Senkova Data Scientist, Fraunhofer IAO Daniel Austin Principal Architect, Paypal Ulrike Blume Data Scientist, Philips Healthcare Martin Peuker CIO, Charite Business Strategy for Big Data Future-Proofing Infrastructure for Bigger Data Choosing Data Analytics Solutions Capturing Big Value from Big Data Using Cloud for Big Data Machine Learning The Internet of Things How to Utilise Social Data Data Security In-Memory Computing Free for ENTERPRISES public sector organisations & telcos www.bigdatacongress.com Part of:

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Page 1: The Trusted Big Data Event Hear the Big answers DISCOVER ... › itmc255617-2013 › catalog.pdfanalytics and the business case for big data to data security, structuring unstructured

DISCOVER THEBUSINESS VALUE

OF BIG DATA!

3rd Edition

3-4 December 2013The Westin Grand, Munich, Germany

Silver Sponsor:

The Trusted Big Data Eventfrom the producers of theCloud World Series

Featuring an outstanding line up of 30+ global Big Data Innovators including:

Hear the Big answersto your pivotal BigData Questions:

Sverre JarpCTO,CERN

Wouter De BieTeam Lead Analytics andData Infrastructure,Spotify

Oliver MullerBI Leader,Procter & Gamble

Juergen UrbanskiChief Technologist BigData and Cloud,Deutsche Telekom Group

Steffen KrauseTechnical Evangelist,Amazon Web Services

Tatiana SenkovaData Scientist,Fraunhofer IAO

Daniel AustinPrincipal Architect,Paypal

Ulrike BlumeData Scientist,Philips Healthcare

Martin PeukerCIO,Charite

Business Strategy for Big Data

Future-ProofingInfrastructure for Bigger Data

Choosing Data Analytics Solutions Capturing Big Value from Big Data

Using Cloud for Big Data

Machine Learning

The Internet of Things How to Utilise Social Data

Data Security

In-Memory Computing

Free for

ENTERPRISES

public sector organisations & telcos

www.bigdatacongress.com Part of:

Page 2: The Trusted Big Data Event Hear the Big answers DISCOVER ... › itmc255617-2013 › catalog.pdfanalytics and the business case for big data to data security, structuring unstructured

Align your business strategy withthe technical aspects of big data The Big Data World Congress brings together some of the IT sector’s mostrecognisable names and faces for an insight into the data-driven world.

With more and more organisations looking for methods to drive value from thevast amount of information now streaming through their data centres, this twoday conference will help highlight some of the tools necessary to do thiscost-effectively;while also discussing the key industry trends associated withthe increasing glut of global data.

Although it’s our first visit to Munich, the Big Data World Congress is now in itsthird editionhaving previously taken place in London, and has increased in sizeand stature to boast one of the most comprehensive agendas in the industry.

With over 40 expert speakers from both the enterprise and the solutionssector, we’ve got every topic in the big data space covered; from real-timeanalytics and the business case for big data to data security, structuringunstructured data and the benefits of social data to the enterprise.

We pride ourselves on delivering case studies from a range of industries, andyou can expect to hear talks from, among others, the automotive, finance,health, technology, leisure sectors,as well as a number of public sectorbodies from across Europe, including CERN and Charité. All with the aim ofenhancing your knowledge of how big data analytics can improve your business.

Building on last year’s success, this year’s Big Data World Congress will alsofeature a specialist exhibition alongside the conference theatre, with 20+solution providerson hand to offer you advice about how to build analyticssolutions into your IT infrastructure, as well as showcasing a variety of new andinnovative products and data analytics tools.

Join us in Munich on the 3rd and 4th of December to develop, refine and expandyour Big Data stategy with the world's leading experts!

Who Attends?

The Big Dataof our Event

Key Topics ofBig Data 2013

• Understanding Big Data,Beyond the Hype• Choosing an Analytics Solutionthat Fits your Objectives• Governance of InformationExplosion: A corporate insightto Value, Risk and Cost of BigData• The Cross-FertilizationBetween Science andEnterprises in the Domain ofBig Data• Coping with the Big DataDemand by Educating DataScientists of the Future• Turning Machine-GeneratedBig Data into Customer Insights• Big Data in 2020 – An Insightinto the Future Role of Data inthe Enterprise

enterpriseattendance in 201283%

countries across theworld represented71

Over 40 ContentSessions underone roof

40+

30 Big Dataspecialist speakersfrom around theworld

30

For Speaking Opportunities please contact:Georgios Kipouros, Head of Production,

Cloud & Big Data World SeriesEmail: [email protected]

Tel: +44 207 017 7985

“The conference wasexcellent. I particularlyenjoyed the short andsharp format of thesessions and the breadthof information that wasshared. Certainly worththe trip”Data Manager, Cisco

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www.bigdatacongress.com

0830 Registration & Welcome refreshments

0850 Introduction from the ChairDavid Crawford, Professor, UNIVERSITY OF ESSEX

Tuesday 3rd December 2013 – Forum Day One

Big Data & Telco@BigDataWS

0900 Understanding Big Data, Beyond the HypeWhat do we mean by ‘big’ data and how is it relevant to your organisation’sbottom line: Return-on-Investment (ROI)?• Evaluating the big data explosion and how it changes previous data

analysis practice• Assessing the new wave of solutions aiding the data analytics process• When does your data become ‘big’ and does the size matter?Dr. Holger Kisker, Vice President & Research Director, FORRESTERRESEARCH

0930 Choosing an Analytics Solution that Fits yourObjectives How much time should you devote to data, and which tools are best suitedto achieving the results your organisation requires?• Choosing between in-house development and outsourcing• Analysing the different solutions, from open-source tools including

MongoDB and Cassandra to specialist tools such as SAS• Running pilot projects on data to understand its valueJean-Peter Fendrich, Tech Watch Manager, VOLVO

1000 Giving Structure to Unstructured DataIs unstructured data worth the time and effort, and have you got the righttools to successfully mine it?• How to detect structure using APIs • Matching expense with relevance in analysing unstructured data• Bring consistency and structure to your company’s legacy dataMaciek Kornacki, Executive Adviser, PROMAR GROUP LLC

1020 Panel: Turning Big Data into Business ImpactAre you spending large proportions of your marketing budget on Big Data,but still not able to gain the results you might have hoped for? Whichsolutions can help you gain positive results from your data?• How do you create a truly 'data-driven' organisation? • Should all organisational decision-making be based around data results

and facts? • Assessing the level of infrastructural change required to become data-

driven Daniel Austin, Chief Architect, PAYPALMojtaba Akbari, Head of IT, THE KILDARE, SPA & COUNTRY CLUBDr Hannes Dahnke, Director Imaging Systems, PHILIPS HEALTHCARE

1050 Morning Break & Networking Session

1200 Finding Implicit Meaning: Applying Machine LearningAlgorithms to your Big DataResearchers have been studying 'machine learning' algorithms fordecades, and recent advances in available computational power as well asthe algorithms themselves mean these techniques are now becoming anattractive opportunity for enterprises in the mining of vast quantities ofraw data. • Exploring new core algorithms for clustering and classifying data• Discussing the key issues related to machine learning at scale• The science of consumers – predicting end-user preferences through

machine learningJean-Paul Schmetz, Chief Scientist, HUBERT BURDA MEDIA

1220 The Cross-Fertilization Between Science andEnterprises in the Domain of Big DataAwaiting synopsisSverre Jarp, CTO, CERN

1240 How to monetize big data and analytics specific to theentertainment industry • How Big Data technology is the great "enabler" of cost saving mechanisms • Looking at the growing importance of the entertainment industry utilising

cloud-based big data systems • Key metrics drawn from devices add immense value to the cloud & big data Phaedra Pardue, Technology Strategist, XO USA

1300 Infrastructure challenges in Switching to a NoSQLDatabaseBig data is as much about adapting your storage capabilities as it is to dowith analytics. How can an enterprise change its infrastructure to cope withimplementing a NoSQL database and a new level of scalability?• The benefits of switching to NoSQL from traditional databases• Migrating a standard relational database to an open source NoSQL cloud

database• Creating flexibility and agility for the future through careful planningFor further details please visit www.bigdatacongress.com

1330 Lunch

1430 Big Data in Healthcare: the Secret Treasure Hidden inSplittersSynopsis TBAMartin Peuker, CIO, CHARITE

1450 Governance of Information Explosion: A corporateinsight to Value, Risk and Cost of Big DataData Analysis and collective awareness has been the last in the list for theluxury THL sector, but data governance is no longer a luxury even for theluxury sectors. With reducing the Total Cost of Ownership as the firstpriority in the list, corporations spend time thinking about the range andscope of options available to govern their data. Given a wide range ofinformation available to the sector, a step forward would be to think aboutsolutions for data monetization.• Big Data and Collective Awareness• Information Asset Valuation• Data Governance Practices• Total Cost of data OwnershipMojtaba Akbari, Head of IT, THE KILDARE HOTEL, SPA AND COUNTRYCLUB

1510 Data Science needs real Data ScientistsTo call oneself a Data Scientist is easy - to be a real Data Scientist is veryhard. What is a true-born Data Scientist? This talk gives some hints how todiscriminate between faked and real Data Scientists.Dr. Marcel Blattner, Head Research, LABORATORY FOR WEB SCIENCE

1530 Big Data for Everybody - in the CloudSteffen Krause, Technical Evangelist, AMAZON WEB SERVICES

1600 Afternoon Break

1620 Hands-on lab: Infrastructure challenges in Switchingto a NoSQL DatabaseBig data is as much about adapting your storage capabilities as it is to dowith analytics. How can an enterprise change its infrastructure to cope withimplementing a NoSQL database and a new level of scalability?• The benefits of switching to NoSQL from traditional databases• Migrating a standard relational database to an open source NoSQL cloud

database• Creating flexibility and agility for the future through careful planningFor further details please visit www.bigdatacongress.com

1700 Panel: How can Telcos Tap into the Value of Big Data? • Understanding the key challenges to Big Data monetisation faced by

Telcos• Unifying senior management & making better business decisions• Which organisational departments need to get involved with Big Data?• Securing executive leadership and buy-in from business leaders• Dealing with the organisational lack of analytical expertise• The return on investment of Bid Data: where is the opportunity? Luigi Licciardi,Head of Technology Plan and Standards, TELECOM ITALIAJuergen Urbanski, Chief Technologist Big Data and Cloud, DEUTSCHETELEKOM GROUP

1730 Chairman’s Closing Remarks & End of Day 1

SESSION 1 – MAKING BETTER DECISIONS WITH BIG DATA

SESSION 2 – GAINING TECHNICAL UNDERSTANDING

SESSION 3 – DEVELOPING YOUR INFRASTRUCTURE AND MAXIMISING APIS

SESSION 4 – TAKING ADVANTAGE OF THE TELCO OPPORTUNITY

ANALYST

ANALYST

ENTERPRISE

ENTERPRISE

ENTERPRISE

TELCO

TELCO

ONLINE PLAYER

ONLINE PLAYER

ENTERPRISE

PUBLIC SECTOR

PUBLIC SECTOR

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0850 Introduction from the Chair

Wednesday 4th December 2013 – Forum Day Two

“The Big Data World Congress is a very well-organised event which gave me personally (and, I believe,all delegates) a lot of useful ideas and insights into Big Data with good implementation examples.”Technical Architect, National Archives

0900 Coping with the Big Data Demand by Educating DataScientists of the FutureThis talk will give an overview of our understanding of data science andpresent the driving factors for the newly established Datalab at ZurichUniversity of Applied Sciences. The goal of the lab is to establish a soundcurriculum and research agenda to prepare data scientists for the ever-increasing demand from industry and to allow industry partnerscollaborate with academia to solve problems that go beyond everydayroutines.ntists of the FutureDr. Kurt Stockinger, Associate Professor of Computer Science, ZURICH UNIVERSITY OF APPLIED SCIENCES

0920 Building Better Cars With Big Data – Analytics in theAutomotive IndustryHow is big data transforming the automotive industry and what role do dataanalytics play in the ‘connected cars’ vision? What aspects of this can betranslated to effectively using big data in other industries?• How car manufacturers effectively analyse performance using sensor

and social media data • The growing influence of the data centre and cloud computing in vehicle

production• The use of multiple data sets to enhance the experience of the driverJurgen Pulm, COO, RBS WEALTH MANAGEMENT

0940 Hadoop: Capturing Big Value in Big Data • How use case segmentation drives solution design and technology

selection • What is the disruptive innovation in Hadoop?• What are target use cases, horizontally and telco-specific?• How do you start realizing value from Hadoop today?• How does Hadoop complement existing investments in business

intelligence?Juergen Urbanski, Chief Technologist Big Data and Cloud, DEUTSCHE TELEKOM GROUP

1000 Panel: Making Real-time Analytics WorkThere are few successful use-cases in which immediate action is taken onreal-time data, so why are so many industries pushing their IT departmentsto do everything instantly, and what will be the end result?• Will the enterprise ever truly run queries in ‘real-time’?• Does it need to?• How do you know the data you’re tracking is correct?Moderator: Tatiana Senkova, Data Scientist, FRAUNHOFER IAOOliver Muller, BI Leader, PROCTER & GAMBLEDr. Hagen Radowski, Partner, MHPWouter De Bie, Team Lead Analytics and Data Infrastructure, SPOTIFY

1030 Morning Break & networking session

1130 Keynote: Banking on Data: Why the Financial SectorNeeds New Analytics SolutionsWith data growth becoming such a challenge and increasing pressure tobring down operational costs, big data is beginning to shape financialservices, despite the sector’s often ‘cautious’ approach to innovation.• Why new regulatory requirements are placing greater emphasis on

governance and driving the need for deeper and transparent analysis• The change in delivery channels leading to a need for consumer data• How historical data is leading to a deeper level of credit risk analysis Daniel Austin, Chief Architect, PAYPAL

1220 Security, Customer Care & Big Data: Perspectives fromBlackberry (TELCO)• How sizing requirements start to push more companies to cloud-based

and virtual solutions• Evolving the care of customer data as more is put online and cross-

collated • Looking at the on-going and evolving privacy regulations, especially

critical for companies with global footprintsBecky Pinkard, Manager – Security Operations Centre, BLACKBERRY

1250 Panel: Privacy and Security Concerns of Data Storageand Mining via the Cloud

With an organisation’s data sets ever increasing, information being storedoff-premise and analysis results being taken from both internal andexternal sources, what are the key security and privacy issues that globalbusinesses now face?• How much risk does cloud computing place on your data?• What governance currently resides to ensure your data isn’t being

accessed and mined by external forces?• Evaluating the privacy concerns associated with analysis of external dataDele Atanda, Head of Brand and Cross Marketing Information Technology,BRITISH AMERICAN TOBACCOFurther panellists to be announced

1330 Lunch

1430 Rated R: The Statistician’s Tool of ChoiceIt may be considered by many to provide the best statistical analysis, butwhy is R so highly regarded and how can it best be put it practice in the artof predictive analytics? • How Google and Facebook use R, and how this can be transferred into the

enterprise• How do you work around R’s memory limitations?• How easy is it for developers who are not statisticians to learn R?For further details please visit www.bigdatacongress.com

1450 Data Mining: Fresh New Insights into Emerging TrendsRegardless of your data requirements, searching, collecting, filtering andanalysing can be a complex process without the correct understanding. • Maximising your ROI and getting the most out of intelligence hidden in

your data warehouse• How to reduce model development cycle time with faster delivery of

analytic insights• Obtaining the scalability you need to build analytical modelsWouter De Bie, Team Lead Analytics and Data Infrastructure, SPOTIFY

1510 Turning Machine-Generated Big Data into CustomerInsightsMachine data is one of the fastest growing and most pervasive areas of bigdata, but how do you deliver value from it? • How to collect, analyse and visualize machine data• Integrating Hadoop to make machine-generated data accessible• Methods for searching and analysing live streaming and terabytes of

historically indexed data from one placeUlrike Blume, Data Scientist, PHILIPS HEALTHCARE

1530 Afternoon Break

1600 Gaining Understanding from Social Data How does your organisation use social media data, and what could it bedoing to gain effective and efficient results from its analysis?• Search for ‘meaning’ in huge compound data sets• The issues and pitfalls of deep social data analysis in a corporate setting• Developing social interfaces to realise value within the enterpriseOliver Mitevski, Data Scientist, 24/7 MEDIA

1630 Panel: Big Data in 2020 – An Insight into the FutureRole of Data in the EnterpriseWith as much as 50 zettabytes of digital data predicted to be created peryear by 2020, what does the future of big data hold, and what level ofreliance will we have on analytics technologies currently being trialled byenterprises in 2013? • Will Hadoop continue to be the central pillar for most big data

approaches?• Solutions for all – how imperative is big data analysis likely to be for

businesses of all sizes?• Can big data analysis ever become devoid of human interpretation?Dr. Marcel Blattner, Head Research, LABORATORY FOR WEB SCIENCEFurther panellists to be announced

1700 Chairman’s Closing Remarks

SESSION 1 – THE JOURNEY TO BIG DATA INNOVATION

SESSION 2 – SECURING AND PROTECTING YOUR DATA

SESSION 3 – ASSESSING ALTERNATIVE ANALYTICS SOLUTIONS

SESSION 4 – UTILISING SOCIAL AND EXTERNAL DATA

ENTERPRISE

ENTERPRISE

ENTERPRISE

ENTERPRISE

PUBLIC SECTOR

TELCO

ONLINE PLAYER

ENTERPRISE

ONLINE PLAYER

ONLINE PLAYER

DEVICE MANUFACTURER

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www.bigdatacongress.comBig Data & Telco@BigDataWS

Our acclaimed ‘meet and greet’boutique-style meeting service,offered to exhibitors and VIPdelegates, has forged businessrelations for the past four years! Theonline networking tool additionallysets the scene for meeting andinteracting with your peers from themoment you register until threemonths after the event!

On site during the event, we help youarrange those last minute meetings –we are happy to facilitateintroductions with your potentialpartners and business leads prior toyour arrival at the event.

Central to the success of this event isthe core focus on meeting and dealmaking. Dedicated networkingsessions from evening receptions,workshops, master classes andworking groups are at the core of theconference’s programme for 2013.What is more, user-friendly meetingand exhibition facilities withdesignated public networking areasincluding numerous workshop areasand an exhibition theatre. Joiningthese, our acclaimed 3 month openonline networking tool ensures thatyou will be meeting and securing yourbusiness partners before, during andafter the event.

The key to the global big data market isthat it’s constantly developing andattractive to all players across thevalue chain, from enterprises to publicsector bodies, infrastructureproviders and IT companies. Entry toall elements of this event is FREE forEnterprises, GovernmentOrganisations and Telcos giving theopportunity to all those with a dataanalytics project to find the rightsolution/provider here! If you have aproject in development then there’sno better place to get it right than here,the Big Data World Congress 2013!

Media Partners:

Who's been here before?The Satisfied Big Data Congress alumni list

CISCO l Bank of England l HSBC l BT l Department for Work and Pensions l Azzurri Communications l QVC l Bank ofAmerica Merrill Lynch l Aviva l LGC Ltd l ITV l McLaren l Eurotunnel l Oracle l Experian l Fujifilm l Mercedes l Virgin lTelefonica l Gerber Technology l IBM l Equinix l Forrester Research l Penguin Books Ltd l Avis Budget Group l BAE SystemsDetica l National University of Life and Environmental Sciences of Ukraine l EDF Energy l TESCO PLC l Deutsche Bank lOpen Data Institute l Newcastle University l Volvo Trucks Ltd l RBS l University of Oxford l Thomson Reuters l BBC l RTLGroup l HSBC l BSkyB l AXA Wealth l Ericsson l Criteo l BP l PokerStars.com l BUPA l Alcatel Lucent l Betfair l Ernst &Young l Paypal l Capacitas l Deutsche Telekom l AOL Europe l Arsenal FC l National Australia Bank Limited l Eurocommsl Ordnance Survey l Houses of Parliament l FOX TV l EMC l ABI Research l Visa Europe l Nortel l Tata CommunicationsLimited l Marks and Spencer l Jefferies l Huawei l KPMG l Digital Innovation Group l KLM Royal Dutch Airlines

Meet Partner Develop

S

S

R

R

For Sponsorship and ExhibitionOpportunities, please contact:

Dominic Halpin, Head of Sales, Cloud & Big Data World SeriesEmail: [email protected]

Tel: +44 207 017 7167

GET INVOLVED WITH THE BIGDATA WORLD CONGRESS!