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Big Data Innovation Summit Seven Stages of Data-Driven Delight April 28 & 29, 2015 | San Jose Convention Center | California
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Very well put together and terrific content. Bank of America
The Big Data Innovation Summit, San Jose is the flagship of the Big Data Innovation series. Featuring seven current & relevant data themed stages the summit is in tune with the latest developments & technologies in the space. With the right balance of speaker profiles Big Data Innovation promises to deliver the most unique case studies, implementations, lessons, challenges & data tales through inspiring, educating & insightful presentations. It’s time to take control of your data, this is the place to do so.
• 64+ industry expert keynote presentations
• 800+ of the global data community attending
• Multiple Stages covering todays hottest topics
• Interactive workshops with hands on approaches
• Over 14 hours of networking opportunities included
• Access to online presentations OnDemand post-summit
• 54+ case studies presented from Fortune 500 companies
• The largest & most important industry led Big Data summit
Big Data Innovation showcases some of the most interesting
Data Use Cases around
Multi-Stage TracksThe summit will cover tracks including: • Big Data Innovation Keynotes
• Big Data Analytics Track
• Data Science Track
• Apache Hadoop & NoSQL Track
• Machine Learning Track
• Data Architecture Track
• Cloud Technologies Track
co-located with the Chief Data Officer, Internet of Things & Data Visualization Innovation summits.
Attending Companies Annual Turn Over
59% Attending companies
annual turnover is $500+ million
Attendee’s Company Size
81% Attendees are
companies with 500+ employees
96% Attendees are Director
level or above
Attendee’s Job Title
Retail
Healthcare
Marketing
CPG
Telecommunications
Research
Public Sector
Entertainment
Manufacturing
Financial Services
Hi Tech
Computer Software Information Tech
Government
Big Data Innovation 2015
Big Data Innovation is now in its fourth year of delivering cutting-edge content in the Big Data realm, it has connected over 15,000 like-minded professionals brought together to explore, understand & be inspired by presentations from those leading the way in this fascinating space.
CIO/CTO’s
Business Analysts
Data Scientists
Data Engineers
DB Professionals
Product Managers
Researchers
Business Executives
Designers
Enterprise Architects
Incredible Data Minds
Cross Industry Population
Confirmed SpeakersCheck out the industry led speaker line-up consisting of 64+ leading data scientists, engineering, infrastructure, architecture & big data analytics leaders for 2015.
Principal Scientist, Spotify
Principal Data Scientist, Microsoft
Head of Intelligent Storage, Samsung
DVP, Data & Analytics, Walgreens
Senior Vice President, OfficeMax
Global Head of Commercial Analytics, Novartis
VP, Data Product Management, MasterCard
Senior Data Scientist, OpenTable
Data Scientist, Foursquare
VP, Data Science Engineering, Live Nation
Director, Engineering, Walmart Labs
Director, Data Science, Netflix
Data & Products, LinkedIn
Principal Data Scientist, Hirevue
Data Science Informatics Leader, GE
Data Science Lead, Trulia
Lead Software Engineer, Ancestry
Senior Analyst, Analytics, Dish Network
Chief Software Architect, Scientific Games
Chief Global Knowledge Officer, Hershey
Chief Data Scientist, Scholastic
Chief Technology Officer, Bitly
Director, Data Platform, Netflix
Director, Data Science, About.com
Solutions Architect, Sony
Global VP, Data Science, Citi
Assistant Chief, Data, US Census Bureau
Director, Corporate Measurement, Yahoo
VP, Brand Strategy, Allrecipes
Program Analyst, US Census Bureau
Manager, Device Analytics, Netflix
VP, Data & Strategic Analytics, TE Connectivity
Senior Data Scientist, Zions Bank
Director, Data Science, TiVo
VP, Data & Analytics, Tapjoy
Leader, Informatics, General Electric
President, AccuWeather
Industry Specialist, IBM
Senior Director, The Weather Channel
& so many more…for a full listing click here
The Speakers…
Bob GoodpasterChief Global Knowledge Officer The Hershey Company
Bob leads Hershey’s development and leverage of intellectual insights and proprietary tools to drive growth through fulfilling consumer and shopper demand. He is responsible for driving the company’s knowledge-based agenda by working with various functions to assess and develop their intellectual capital to gain competitive advantage. Bob’s organization consists of Hershey Knowledge Works, an entity which develops advanced capabilities including leverage of big data and Insights Driven Performance, Global Insights, Category Strategy & Insights, Advanced Analytics, Shopper Marketing, and Global eCommerce.
Juan LavistaPrincipal Data Scientist Bing.com (Microsoft)
Juan Lavista is a Principal Data Scientist for Bing.com at Microsoft, where he works with a team of data scientist searching for insights in petabytes of data. Juan joined Microsoft to work for the Microsoft Experimentation Platform (EXP) where he designed and ran control experiments across different Microsoft properties.
Before joining Microsoft, Juan was the CTO and cofounder of alerts.com. He has been a speaker at conferences in many countries including the US, Canada, Argentina, Colombia and Uruguay, and he also was a TedX Speaker in 2010 in Argentina.
Joel MyersFounder & President AccuWeather
Dr. Joel N. Myers, Founder, President and Chairman of AccuWeather, has been recognized by Entrepreneur Magazine as one of the greatest entrepreneurs in American history.
He is a proven visionary leader, founding the company in 1962 and successfully establishing AccuWeather as the largest and fastest growing weather media company in the world.
Beena AmmanathData Informatics Leader General Electric
Beena is the Data Science Informatics Leader at GE. She leads the data efforts to support data science at GE. She works across the GE businesses to drive advanced analytics development leveraging big data technologies. She is passionate about data and analytics to aid cross functional teams to derive data insights, aid teams in articulating questions they did not know they had and help view data in more effective ways.
Beena has over 20 years’ experience in the data arena with a number of international organizations including British Telecom, E*trade and Thomson Reuters. She holds a Masters in Computer Science and MBA in Finance.
Todd HollowayData Science Lead Trulia
Todd Holloway is a big data expert whose career has spanned two areas--artificial intelligence and data visualization. Most recently he built and leads the Data Science team at Trulia, which is applying machine learning, network science, NLP, and computer vision technologies to the large datasets found in the real estate domain.
Previously he worked on AI and data visualization projects at AT&T, Ingenuity Systems, TheFind, and Amazon. Examples of his visualization work can be seen at abeautifulwww.com.
Kirk BorneData Scientist & Astrophysicist George Mason UniversityPreviously NASA
Kirk Borne is a Data Scientist and Professor of Astrophysics and Computational Science in the George Mason University School of Physics, Astronomy, and Computational Sciences. He has been at Mason since 2003, where he does research, teaches ,and advises students in the graduate and undergraduate Data Science, Informatics, and Computational Science programs.
Previously, he spent nearly 20 years in positions supporting NASA projects, including an assignment as NASA's Data Archive Project Scientist for the Hubble Space Telescope, and as Project Manager in NASA's Space Science Data Operations Office. He has extensive experience in big data and data science, including expertise in scientific data mining and data systems.
The Speakers…
Jonathan RobertsDirector, Data Science About.com
Dr Jon Roberts has ten years of research experience in high energy physics and cosmic rays. He recently transitioned from academia to take a position as the Director of Data Science for About.com, where he leads a team of researchers pulling insight from 18 years of internet data across a swathe of topics.
He is consistently amazed by the cross-over in analysis problems from cosmic ray astrophysics to one of the world's largest content companies.
Ferris JumahData Scientist LinkedIn
Ferris Jumah is a data scientist at LinkedIn. In this position, he has analyzed and modeled relevancy and revenue impact for LinkedIn ads, and worked on developing large scale machine learning systems for email relevancy and frequency.
He has a background in statistics, with interests in network analysis, specifically community detection, and experience in applying methods to advertising, internet, and retail data.
Rajeeve KaulSenior Vice President OfficeMax
Rajeeve Kaul is Senior Vice President at OfficeMax. His education includes MS and MBA degrees from UMass (Amherst). In his prior role as Vice President, Pricing and Strategy at Cardinal Health he was responsible developing go to market and pricing strategy, for developing an understanding of the Cardinal customer portfolio and the overall deal management and compliance functions.
Prior to joining Cardinal, Rajeeve was Director, Price and Product Optimization, at AutoZone, a Fortune 300 where he developed next-generation solutions improving product assortment and deploying differentiated pricing capabilities.
The Speakers…
Arun JagatheesanHead of Intelligent Storage Samsung
Arun Jagatheesan leads multiple efforts at Samsung Research America to create new business opportunities in consumer electronics using large-scale data management and analytics (big-data). His current research interests, as part of Samsung’s new Cloud Research Lab, include application of big-data analytics in voice and healthcare/fitness applications (smartphones, wearables, smart TV).
He has received research merit awards from Samsung’s CEO (2013) and Samsung’s corporate CTO (2012). His research work has been invited to be demoed at the Consumer Electronics Show (CES).
Aaron CaldieroSenior Data Scientist Zions Bancorporation
Aaron Caldiero is a Senior Data Scientist in the Security Analytics Department at Zions Bancorporation. As a Data Scientist, Aaron performs data mining, statistical modeling, and analytics on Zion’s Security Data Warehouse (Hadoop cluster).
Using the tools of Data Science Aaron builds, implements, and maintains risk models for fraud and malware detection. Aaron has over ten years of experience in the Analytics and Financial Services industries. He has a B.S. in Psychology from the University of Utah, and a Graduate Certificate in Applied Statistics from Penn State.
Phil O’NeillVP, Data Science & Analytics Tapjoy
Dedicated senior analytics executive with proven history setting strategic direction, executing tactical plans, building effective teams, and managing change across diverse industries. Entrepreneurial mindset focused on creating value, growing revenues, and containing costs.
Distinguished by ability to grasp and clearly community complex systems and models. Determined, highly-motivated, action-oriented self-starter who takes personal responsibility to get things done and remains focused under pressure.
The Speakers…
John TooheyChief Software Architect Scientific Games
With two billion in revenues, Scientific Games is a leading innovator in the global lottery and regulated gaming industries. The company acquired WMS gaming in 2013 and announced plans to acquire Bally Technologies in 2014.
As Chief Software Architect John is a member of the Company’s leadership team having primary responsibility to ensure the Company’s software solution is well engineered, operable, maintainable, delivered on schedule, aligns to product strategy/vision and provides the anticipated business value.
Karthik VishDirector, Data Marketing Macy’s
A dynamic leader, strategist and accomplished retail executive with 12+ years of experience in omni-channel marketing, online merchandising, web analytics, database marketing (Email, SMS), CRM, A/B testing methodologies and customer engagement (CEM). Currently heading up Macys.com's Paid Search program to deliver topline growth that are aligned with maximizing marketing investments, leveraging Big Data and Analytics to drive marketing intelligence and advancing the organization’s omni-channel strategies. Successful track record of building high performing teams that deliver exceptional results, be it as products, platforms/business solutions or strategy, within aggressive 'time to market' and efficient budgets.
Matthew BurrisGVP, Data Science Citi
Matthew is Global Assistant Vice President of Data Science at Citi. In his role he primarily engages and guides various business sectors how to make a data driven mindset part of their strategic skills. This is done through designing and building prototype Big Data solutions for key strategic initiatives on multi-terabyte datasets using machine learning algorithms, data mining insights, data visualizations or statistical models.
Matthew has gone on to develop and provide Citi with Big Data & Analytics shared service capabilities to meet the needs of various LOBs including testing analytics and data science related products.
The Speakers…
Shiva K.Lead Machine Learning Researcher General Electric
Machine learning researcher working on designing novel data-driven analytic solutions for modeling and analysis of data resulting from industrial machines. Developing big-data solutions that will lead to new efficiency gains for the industrial sector.
This work is playing an important role in fulfilling GE's vision of the Industrial Internet.
George CorugedoChief Technology Officer RedPoint
A mathematician and seasoned technology executive, George Corugedo has over 20 years of business and technical expertise. As co-founder and CTO of RedPoint Global, George is responsible for leading the development of the RedPoint Convergent Marketing Platform™. A former math professor,
George left academia to co-found Accenture’s Customer Insight Practice, which specialized in strategic data utilization, analytics and customer strategy. Previous positions included director of client delivery at ClarityBlue, Inc., a provider of hosted customer intelligence solutions to enterprise commercial entities.
Krishnan SaranathanMD, Customer Data & Optimization United Airlines
Krishnan Saranathan is the Managing Director of Customer Data and Optimization at United Airlines, the United States leading airline provider. In his role Krishnan defines and leads investment in customer data, leveraging customer data to drive customer engagement, improve operational efficiency and enable smarter interactions through CRM systems in place.
As well as this a day to day role of Krishnan’s is leading the Business Intelligence & Insight Generation functions of United Airlines.
The Speakers…
& so many more…for a full listing click here
Big Data Innovation 2015 will feature seven stages across the two days including:
Big Data’s Seven Stages…
Data AnalyticsThe Data Analytics track offers presentations on the process of examining large data sets containing a variety of data types to uncover hidden patterns, unknown correlations, trends, customer preferences and other useful information driven by data.
Hadoop & NoSQLThis track is designed for the more technical type of attendee, the track will discuss how Hadoop changes the economics and dynamics of large scale computing, looking at how Hadoop can bring power to Big Data allowing data to become scalable, cost-effective, flexible and fault
Data ScienceThe Data Science track will give insights on how to best extract knowledge from data, getting meaning from data & producing data products. There will also discussion on the role of the data scientist and building a successful data science team.
Data & the CloudCloud Computing has taken leaps & bounds in the last 12 months allowing organizations to deploy groups of remote servers and software networks that allow centralized data storage and online access. Big Data plays a crucial role in this including the applications, platforms and infrastructure cloud is shaped by.
Machine LearningAnother technical track that explores the design of algorithms that can make use of data. Content to include how to master the most effective machine learning techniques allowing computers to act without explicit programming.
The KeynotesThe Big Data Innovation keynotes will provide a holistic view on the Big Data landscape identifying emerging technologies and exploring fascinating use cases. The keynotes will provide you with both industry case studies and solutions and services for your every need.
Data ArchitectureData Architecture will look into how data is composed of policies, rules and standards that govern which data is collected, how it is stored & arranged then distributed in data systems across organizations.
The Venue
San Jose Convention CenterWelcome to bustling San Jose, where Silicon Valley meets Spanish history and modern edifices sit alongside meticulously restored 19th-century buildings. San Jose is the largest city in Northern California and the capital of Silicon Valley, home to several high-tech companies.
Address150 West San Carlos Street, San Jose, CA 95113 1-800-SAN-JOSE http://www.sanjose.org
Room Reservation Information The Innovation Enterprise have a preferential room rate at the nearby Fairmont Hotel located 170 South Market Street, San Jose, CA 95113. The rate is $259 per night. To make a room reservation please call 1-800-346-5550 quoting Innovation Enterprise. To make an online reservation please click here.
ie.
If you are interested in Sponsoring any of our upcoming events, or just want to get more information on sponsorship packages contact Pedro [email protected] +1 (415) 992 5658
Sponsors
Bridgei2i Customer Analytics Innovation Summit,
Chicago on June 19 & 20 2014
Wanted to thank you both for all your help and support during the conference. It was very well organized and our
delegates spoke highly about the sessions.
Previous Sponsor:
7am Registration & Light Breakfast
8.30am Big Data Innovation Keynotes
10.30am Coffee Break
11am Big Data Innovation Keynotes
12.30pm Lunch
2pm All session tracks begin
3pm Coffee Break
3.30pm Session tracks continue
5.00pm Networking Drinks
7.30pm End of Day 1
ScheduleBig Data Innovation Summit,April 28 & 28, San Jose Convention Center
Schedule subject to change
Day 1 - April 28
7am Registration & Light Breakfast
8.30am Big Data Innovation Keynotes
10.30am Coffee Break
11am Big Data Innovation Keynotes
12pm Lunch
1.30pm All session tracks begin
3pm Coffee Break
3.30pm Session tracks continue
5pm End of Summit
Day 2 - April 29
Pricing
On Demand
$600
1 Day Pass
$695Silver Pass
$1295Early Bird
Price (before Feb 27)
$1495
Gold Pass
$1595Early Bird
Price (before Feb 27)
$1795
Diamond Pass
$1795Early Bird
Price (before Feb 27)
$1995
Access to a single day of event
Access to all sessions, networking events
Access to presentations from the summit via ieOnDemand for 7 days
Unlimited access to presentations from the summit via ieOnDemand
Access to all sessions including the Data Visualization Summit
Access to all presentations on the Big Data & Analytics channels via ieOnDemand
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3 Silver Passes $3300 ($1100 per attendee, Saving of 25%)
5 Silver Passes: $4750 ($950 per attendee, Saving of 25%)
3 Gold Passes: $4200 ($1400 per attendee, Saving of 25%)
5 Gold Passes: $6250 ($1250 per attendee, Saving of 25%)
3 Diamond Passes: $4800 ($1600 per attendee, Saving of 25%)
5 Diamond Passes: $7250 ($1450 per attendee, Saving of 25%)
Group Discount Offers
Big Data Innovation SummitApril 28 & 29, 2015, San Jose Convention Center
Team discounts are applicable at the point of registration only. For larger groups or special requests contact Jordan Dunne. US +1 415 992 7918 Email [email protected]
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Delegate Information
Registration FormBig Data Innovation Summit April 28 & 29, 2015, San Jose Convention Center
Industry
Full Name
Job Title
Company
Department
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Address
State/Provence
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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 March 30, 2015 incur an administrative charge of 50%. If you cancel your registration after March 30, 2015 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.
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Early Bird Pass available until Feb 27
Regular Pass available after Feb 27
№ � Regular Gold $1795
№ � Early Bird Diamond $1795
№ � Early Bird Silver $1295
№ � Regular Silver $1495
№ � Regular Diamond $1995
№ � Early Bird Gold $1595
Group Discount Pass Options
№ � 3 Diamond Passes $4800 ($1600 per attendee )
№ � 3 Gold Passes $4200 ($1400 per attendee )
№ � 3 Silver Passes $3300 ($1100 per attendee )
№ � 5 Diamond Passes $7250 ($1450 per attendee )
№ � 5 Gold Passes $6250 ($1250 per attendee )
№ � 5 Silver Passes $4750 ($950 per attendee )
Total $
ieOnDemandThe Big Data revolution has brought with it the realization that data scientists need to share new technologies, ideas and best practices in order to fulfill their crucial business. With the focus now being on how to solve some of today's toughest business problems, the Big Data division enables over 250,000 executives to connect with peers and solution providers in an increasingly innovative way.
http://ieondemand.com
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Big Data ChannelThe Big Data revolution has brought with it the realization that data scientists need to share new technologies, ideas and best practices in order to fulfill their crucial business. With the focus now being on how to solve some of today's toughest business problems, the Big Data division enables over 250,000 executives to connect with peers and solution providers in an increasingly innovative way.
http://channels.theinnovationenterprise.com
SponsorshipOpportunities
Giles [email protected]
+1 (415) 692 5498 US+44 (207) 193 0386 UK
Delegate Invitations
Sean [email protected]
+1 (415) 692 5514 US+44 (207) 193 1655 UK