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
Fre
e fo
r
EN
TER
PRIS
ES
pub
lic s
ecto
r or
gan
isa
tion
s &
telc
os
Align your business strategy with
the technical aspects of big data
The Big Data World Congress brings together some of
the IT sector’s most
recognisable names and faces
for an insight into the data-driven world.
With more and more organisations looking for methods to drive value from the
vast amount of information now streaming through their data centres, this two
day conference will help
highlight some of the tools necessary to do this
cost-effectively;
while also discussing the key industry trends associated with
the increasing glut of global data.
Although it’s our first visit to Munich,
the Big Data World Congress is now in its
third edition
having previously taken place in London, and has increased in size
and stature to boast one of the most comprehensive agendas in the industry.
With over
40 expert speakers
from both the enterprise and the solutions
sector, we’ve got every topic in the big data space covered; from real-time
analytics and the business case for big data to data security, structuring
unstructured data and the benefits of social data to the enterprise.
We pride ourselves on delivering case studies from a range of industries, and
you can expect to hear talks from, among others, the
automotive, finance,
health, technology, leisure sectors,
as well as a number of public sector
bodies from across Europe, including CERN and Charité. All with the aim of
enhancing 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 also
feature a specialist exhibition alongside the conference theatre, with
20+
solution providers
on hand to offer you advice about how to build analytics
solutions into your IT infrastructure, as well as showcasing a variety of new and
innovative products and data analytics tools.
Join us in Munich on the 3rd and 4th of December to develop, refine and expand
your Big Data stategy with the world's leading experts!
Who Attends?
The Big Data
of our Event
Key Topics of
Big Data 2013
• Understanding Big Data,
Beyond the Hype
• Choosing an Analytics Solution
that Fits your Objectives
• Governance of Information
Explosion: A corporate insight
to Value, Risk and Cost of Big
Data
• The Cross-Fertilization
Between Science and
Enterprises in the Domain of
Big Data
• Coping with the Big Data
Demand by Educating Data
Scientists of the Future
• Turning Machine-Generated
enterprise
attendance in 2012
83%
countries across the
world represented
71
Over 40 Content
Sessions under
one roof
40+
30 Big Data
specialist speakers
from around the
world
30
For Speaking Opportunities please contact:
“The conference was
excellent. I particularly
enjoyed the short and
sharp format of the
sessions and the breadth
of information that was
shared. Certainly worth
the trip”
www.
big
data
congress
.com
0830 Registration & Welcome refreshments0850
Introduction from the Chair
David Crawford,Professor, UNIVERSITY OF ESSEX
Tuesday 3rd December 2013 – Forum Day One
Big Data & Telco
@BigDataWS
0900
Understanding Big Data, Beyond the Hype
What do we mean by ‘big’ data and how is it relevant to your organisation’s bottom 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, FORRESTER RESEARCH
0930
Choosing an Analytics Solution that Fits your
Objectives
How much time should you devote to data, and which tools are best suited to 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 value Jean-Peter Fendrich,Tech Watch Manager, VOLVO 1000
Giving Structure to Unstructured Data
Is unstructured data worth the time and effort, and have you got the right tools 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 data Maciek Kornacki,Executive Adviser, PROMAR GROUP LLC 1020
Panel: Turning Big Data into Business Impact
Are you spending large proportions of your marketing budget on Big Data, but still not able to gain the results you might have hoped for? Which solutions 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, PAYPAL Mojtaba Akbari,Head of IT, THE KILDARE, SPA & COUNTRY CLUB
Dr Hannes Dahnke,Director Imaging Systems, PHILIPS HEALTHCARE 1050 Morning Break & Networking Session
1200
Finding Implicit Meaning: Applying Machine Learning
Algorithms to your Big Data
Researchers have been studying 'machine learning' algorithms for decades, and recent advances in available computational power as well as the algorithms themselves mean these techniques are now becoming an attractive opportunity for enterprises in the mining of vast quantities of raw 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 learning
Jean-Paul Schmetz,Chief Scientist, HUBERT BURDA MEDIA 1220
The Cross-Fertilization Between Science and
Enterprises in the Domain of Big Data
Awaiting synopsis Sverre Jarp,CTO, CERN
1240
How to monetize big data and analytics specific to the
entertainment 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 NoSQL
Database
Big data is as much about adapting your storage capabilities as it is to do with analytics. How can an enterprise change its infrastructure to cope with implementing 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 planning For further details please visit www.bigdatacongress.com 1330 Lunch
1430
Big Data in Healthcare: the Secret Treasure Hidden in
Splitters
Synopsis TBA
Martin Peuker,CIO, CHARITE
1450
Governance of Information Explosion: A corporate
insight to Value, Risk and Cost of Big Data
Data Analysis and collective awareness has been the last in the list for the luxury THL sector, but data governance is no longer a luxury even for the luxury sectors. With reducing the Total Cost of Ownership as the first priority in the list, corporations spend time thinking about the range and scope of options available to govern their data. Given a wide range of information available to the sector, a step forward would be to think about solutions for data monetization.
• Big Data and Collective Awareness • Information Asset Valuation • Data Governance Practices • Total Cost of data Ownership
Mojtaba Akbari,Head of IT, THE KILDARE HOTEL, SPA AND COUNTRY CLUB
1510
Data Science needs real Data Scientists
To call oneself a Data Scientist is easy - to be a real Data Scientist is very hard. What is a true-born Data Scientist? This talk gives some hints how to discriminate between faked and real Data Scientists.
Dr. Marcel Blattner,Head Research, LABORATORY FOR WEB SCIENCE 1530
Big Data for Everybody - in the Cloud
Steffen Krause,Technical Evangelist, AMAZON WEB SERVICES 1600 Afternoon Break
1620
Hands-on lab: Infrastructure challenges in Switching
to a NoSQL Database
Big data is as much about adapting your storage capabilities as it is to do with analytics. How can an enterprise change its infrastructure to cope with implementing 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 planning For 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 byTelcos
• 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 ITALIA Juergen Urbanski,Chief Technologist Big Data and Cloud, DEUTSCHE TELEKOM 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
AN AL YS T AN AL YS T EN TE RP RI SE EN TE RP RI SE EN TE RP RI SE TE LC O TE LC O O N LI N E PL AY ER O N LI N E PL AY ER EN TE RP RI SE PU BL IC S EC TO R PU BL IC S EC TO R
0850
Introduction from the Chair
Wednesday 4th December 2013 – Forum Day Two
0900
Coping with the Big Data Demand by Educating Data
Scientists of the Future
This talk will give an overview of our understanding of data science and present the driving factors for the newly established Datalab at Zurich University of Applied Sciences. The goal of the lab is to establish a sound curriculum and research agenda to prepare data scientists for the ever-increasing demand from industry and to allow industry partners collaborate with academia to solve problems that go beyond everyday routines.ntists of the Future
Dr. Kurt Stockinger,Associate Professor of Computer Science, ZURICH UNIVERSITY OF APPLIED SCIENCES
0920
Building Better Cars With Big Data – Analytics in the
Automotive Industry
How is big data transforming the automotive industry and what role do data analytics play in the ‘connected cars’ vision? What aspects of this can be translated 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 driver Jurgen 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 Work
There are few successful use-cases in which immediate action is taken on real-time data, so why are so many industries pushing their IT departments to 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 IAO Oliver Muller,BI Leader, PROCTER & GAMBLE
Dr. Hagen Radowski,Partner, MHP
Wouter De Bie,Team Lead Analytics and Data Infrastructure, SPOTIFY 1030 Morning Break & networking session
1130
Keynote: Banking on Data: Why the Financial Sector
Needs New Analytics Solutions
With data growth becoming such a challenge and increasing pressure to bring down operational costs, big data is beginning to shape financial services, 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 from
Blackberry (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 footprints
Becky Pinkard,Manager – Security Operations Centre, BLACKBERRY
1250
Panel: Privacy and Security Concerns of Data Storage
and Mining via the Cloud
With an organisation’s data sets ever increasing, information being stored off-premise and analysis results being taken from both internal and external sources, what are the key security and privacy issues that global businesses 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 data Dele Atanda,Head of Brand and Cross Marketing Information Technology, BRITISH AMERICAN TOBACCO
Further panellists to be announced 1330 Lunch
1430
Rated R: The Statistician’s Tool of Choice
It may be considered by many to provide the best statistical analysis, but why is R so highly regarded and how can it best be put it practice in the art of 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 Trends
Regardless of your data requirements, searching, collecting, filtering and analysing 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 models Wouter De Bie,Team Lead Analytics and Data Infrastructure, SPOTIFY 1510
Turning Machine-Generated Big Data into Customer
Insights
Machine data is one of the fastest growing and most pervasive areas of big data, 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 place
Ulrike 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 be doing 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 enterprise Oliver Mitevski,Data Scientist, 24/7 MEDIA
1630
Panel: Big Data in 2020 – An Insight into the Future
Role of Data in the Enterprise
With as much as 50 zettabytes of digital data predicted to be created per year by 2020, what does the future of big data hold, and what level of reliance will we have on analytics technologies currently being trialled by enterprises 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 SCIENCE Further 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
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