Big Data Innovation Summit - The Innovation Enterprise
Transcription
Big Data Innovation Summit - The Innovation Enterprise
ie. Big Data Innovation Summit APRIL 21-22 2016 | SAN FRANCISCO Take Control Of Your Data df dvsd vs ABOUT THE EVENT Overview April 21-22, 2016 Big Data Innovation Summit Marriott Marquis, 780 Mission Street, San Francisco, California, 94103 USA The main themes for this years discussion are: #DataWest16 • Data Analytics & Machine Learning • Business Intelligence & Big Data Tools • Customer & Marketing Analytics Analytics • Building A Data-Driven Organization By covering the hottest topics within big data, we create a platform for senior level executives to obtain real action points and useful connections to better support their business goals. Online videos of all sessions, with integrated slides and audio will be made available to all attendees after the event. 2 SPEAKERS AT A GLANCE Speakers Confirmed Speakers Jeff Chen, Chief Data Scientist, US Dept of Commerce Danny Lange, Head of Machine Learning, Uber Ranjan Sinha, Head of Data Science Engineering, eBay Riley Newman, Head of Data Science, Airbnb Abhor Banerjee, Data Science Leader, Kohl’s Jeffrey Roth, Deputy Commissioner, NYC Taxi Commission Barkha Saxena, Head of Analytics, Poshmark Ravi Malladi, Head of Data Science & Analytics, General Electric Eugene Kolker, Chief Data Officer, Seattle Children’s Hospital Amen Kanitkar, Big Data Engineer, Groupon Amy Gaskins, Big Data Project Director, NOAA Carlos Solano, Director, Strategic Data Analytics, Michelin Douglas Mason, Senior Data Scientist, Twitter Karthic Bala, Head of Data Strategy, Condé Nast Kurt Kendall, Global Head of Consumer Engagement, Under Armour Renege Li, Manager, Predictive Analytics, Riot Games Naveen Jain, Director, Digital Analytics, First Tech Credit Union Daqing Zhao, Director, Advanced Analytics, Macy’s Pinar Donmez, Chief Data Scientist, Kabbage Mousumi Ghosh, VP, Decision Tech, JPMorgan Chase Chi-Yi Kuan, Director, Business Analytics, LinkedIn Ravi Vijay, Senior Data Scientist, LinkedIn Jim Menard, General Manager, Weather Underground Nick Curcuru, VP, Global Big Data, MasterCard Sachin Padwal, Sr. Director, Multichannel Innovation, Sam’s Club Jay Loden, Assistant Director, Fraud Analytics, Kaiser Permanente 3 SPEAKERS AT A GLANCE Speakers Confirmed Speakers Manish Gupta, Head of Information Management, American Express Andy Veluswami, Director, Data Science & Analytics, Change.org Huan Hoang, Manager, Business Analytics, LinkedIn Jake Flomenberg, Partner, Accel Partners Phil Kim, Managing Vice President, Capital One Labs David Leonard, Partner, Advanced Analytics, Gallup Jim Menard, SVP & GM, Weather Underground Jonathan Matus, Chief Executive Officer, Zendrive Vijay Venkatesan, Chief Data Officer, Providence Health Randy Bean, Co-Founder, NewVantage Partners Mohak Shah, Head of Data Science, Bosch Gregory Ryslik, Sr. Manager, Data Science, Tesla Motors Roman Maslovskis, Sr. Data Scientist, eBay Priya Mannan, Executive Director, Data Privacy, Novartis Manoj Yadav, Head of Data Analytics, RedBubble Alpesh Doshi, Principal Data Analyst, Redcliffe Capital Alex Vayner, VP, Data Science Innovation, Equifax Robert Abate, Global Director, Enterprise Analytics, KimberleyClark 3 “ Usually I’m exhausted at the end of a presentation. This time, I’m energized! 7 SPEAKERS IN DETAIL Keynote Speakers Jim Menard Ranjan Sinha Huan Hoang GM, Weather Underground Head of Data Science Engineering Manager, Business Analytics THE WEATHER CHANNEL EBAY LINKEDIN Big Data Forecast: Weather Underground Case Study Data Science On Hadoop For Customer-Centric Commerce Join this presentation to learn how Weather Underground utilizes its massive trove of data gathered from a number of weather sources, including personal weather stations and consumer input from apps to providea localized weather forecast. Understand how the company has gone beyond basic weather measurements (temperature, precipitation, wind speed and direction, barometric pressure, and relative humidity, radar, satellite, etc.) and are expanding the range of data they collect. You will also hear Weather Underground GM Jim Menard’s forecast for the future of data collection and analysis. Commerce is at an inflection point where customers expect better and easier experiences both online and offline. They expect individualized experiences, while at the same time demand that their privacy is safeguarded. This presentation will introduce personalization and recommendation in the realm of e-commerce platforms with a focus on scale. An effective approach is a data-driven process, that would need to combine multiple data sources, deal with billions of events, offline & online, and ensure high availability. Innovate Big Data To Fuel Intelligent Growth At LinkedIn Sales and Marketing are extremely critical functions at LinkedIn. In this talk, we will present about how we use text mining, machine learning and optimization on big data to derive insights and empower our marketing and sales teams to capture bigger and better business opportunities efficiently. You will learn how we use these scalable end-to-end solutions to improve your analytics efficiency and scale data science impact for broader organization. 5 SPEAKERS IN DETAIL Speakers VIEW FULL ABSTRACTS Ameya Kanitkar Jeff Chen Riley Newman Big Data Engineer Chief Data Scientist Head of Data Science GROUPON US DEPT OF COMMERCE AIRBNB Real Time Relevance & Personalization With Storm, Hadoop & HBase Building A Data-Driven Government Building Airbnb's Data Culture; Insights From 5 Years Of Hypergrowth Danny Lange Pinar Donmez Carlos Solano Head of Machine Learning Chief Data Scientist Director, Strategic Data Analytics UBER KABBAGE MICHELIN NORTH AMERICA Making Uber Smarter With Machine Learning Data & Technology: The Keys To Consumer Understanding Driving Strategy With Big Data Analytics Renege Li Daqing Zhao Naveen Jain Manager, Predictive Analytics Director, Advanced Analytics MACY’S Director, Digital Analytics Data & Analytics For Macy's Customer-Centric Strategies Discovering & Activating Customer Insights RIOT GAMES Data Science at Riot Games FIRST TECH FED CREDIT UNION 6 SPEAKERS IN DETAIL Speakers VIEW FULL ABSTRACTS Mohak Shah Amy Gaskins Eugene Kolker Head of Data Science Director, Big Data Projects NATIONAL OCEANIC & ATMOSPHERIC Chief Data Officer BOSCH SEATTLE CHILDREN’S HOSPITAL ADMINISTRATION Evaluating Learning Algorithms: A Classification Perspective Public-Private Partnerships: The NOAA Big Data Project Ravi Malladi Gregory Ryslik Barkha Saxena Head of Data Science Sr. Manager, Data Science Head of Analytics GENERAL ELECTRIC TESLA MOTORS POSHMARK Innovating In The Growth Markets: A GE Perspective Real-Time Predictive Modelling To Improve Fleet Behaviour Measuring The Value Of Social Interactions Priya Mannan Gautam Kotwal Jay Loden Executive Director, Data Privacy Director, Innovation KOHL’S Assistant Director, Fraud Analytics Customer Tracking With Big Data Analytics Using Advanced Analytics To Target Part D Fraud NOVARTIS Leveraging The Data Continuum To Meet Evolving Demand Achieving Actionable Insights With Data & Analytics KAISER PERMANENTE 7 SPEAKERS IN DETAIL Speakers VIEW FULL ABSTRACTS Jonathan Matus Vijay Venkatesan Kurt Kendall Chief Executive Officer ZENDRIVE Chief Data Officer PROVIDENCE HEALTH Global Head of Consumer Engagement UNDER ARMOUR Safety In A Data Driven Era Bringing Value To The Patient Experience Using Data To Drive Responsive Retail Nick Curcuru Manish Gupta Jake Flomenberg VP, Global Big Data MASTERCARD VP, Data Products AMERICAN EXPRESS Partner ACCESS PARTNERS Preventing A Big Data Security Breach Panel Session: Advancing Big Data Strategies David Leonard Randy Bean Phil Kim Partner, Advanced Analytics GALLUP Co-Founder NEWVANTAGE PARTNERS Managing Vice President CAPITAL ONE LABS Predictive Analytics: Are You Making The Most Of Your Data? 7 SCHEDULE AT A GLANCE Schedule Day 1 Day 2 Key 07:30 Check in 07:30 Check in 08:30 Keynotes 08:30 Keynotes 10:30 Coffee Break 10:30 Coffee Break CHECK IN An opportunity to check yourself into the event and meet other leaders in your industry ahead of the day KEYNOTES Listen to actionable case studies largely brought to you by Fortune 500 companies COFFEE BREAK & LUNCH 11:00 Keynotes 11:00 Keynotes A chance to sit down, network and connect with decision makers within the industry 13:00 Lunch 13:00 Lunch NETWORKING DRINKS 14:00 Keynotes 14:00-15:30 Keynotes 15:30 Coffee Break SUMMIT END A more relaxed environment in which to engage with all attendees and gain valuable connections 16:00 Keynotes 17:30 Networking Drinks 13 8 “ I can say hands down, you guys do the finest job of anyone in the media conference space 11 SPONSORS AND PARTNERS Sponsors Platinum Sponsor Silver Sponsor Gold Sponsor Bronze Sponsor Associate Sponsor Bronze Sponsor Featured Start-Up Bronze Sponsor Bronze Sponsor Want to partner with us for this event? Contact Andy: [email protected] US +1 415 315 9533 UK + 44 207 193 0386 REQUEST TO SPONSOR 10 12 SPONSORS AND PARTNERS Sponsors Exhibitor Roundtable Sponsor Exhibitor Exhibitor Exhibitor Associate Sponsor Exhibitor Associate Sponsor Associate Sponsor Want to partner with us for this event? Contact Andy: [email protected] US +1 415 315 9533 UK + 44 207 193 0386 REQUEST TO SPONSOR 10 13 WHO ATTENDS OUR EVENTS Who Attends 14 WHO ATTENDS OUR EVENTS Who Attends The summits that Innovation Enterprise puts on are among the most highly acclaimed in the world, with industry leading decision makers from across the analytics industry in attendance as both speakers and delegates. You will connect with senior level executives from both major corporations and innovative small-tomedium size companies. 45% 10% Company size of attendees by number of employees 5000+ 40% 1000-5000 5% 200-1000 Less than 200 78% of attendees are Director level or above director vp/svp manager Holding events in several locations around the world, we have acquired a global audience senior cxo . . 15 TICKETS AND PRICING OPTIONS Tickets OnDemand Pass 1 Day Pass Silver Pass Gold Pass Access All Areas Pass $600 $895 $1495 $1795 $1995 Access to a single day of the event Access to all sessions & networking events Access to presentations from the summit on ieOnDemand for 7 days Unlimited access to presentations from the summit on ieOnDemand Access to the co-located Data Visualization & IoT Summits One year’s access to all presentations on the Big Data & Analytics Channels Buy a group of at least 3 passes to receive up to 25% off Interested in attending? Register online or contact Roy Asterley [email protected] GROUP PASSES REGISTER ONLINE US +1 415 692 5426 UK + 44 203 769 1593 Book your hotel room: Click here to book online for discounted room rates 16 REGISTER FOR THE EVENT Register +1 323 446 7673 GROUP PASSES +1 415 692 5426 REGISTER ONLINE Delegate Information Full Name Address Job Title Company Country Zip/Post Code Department State/Provence Industry Business Phone No. Payment Options Check Passes Visa Master Card American Express Invoice Me Card Number Expiry Date Security No. Mo OnDemand Pass 1 Day Pass $600 $895 Silver Pass Gold Pass $1495 $1795 Access All Areas Pass $1995 Quantity Ye Card Holder’s Name Places are transferable without any charge within 12 months of the original purchase Card Holder’s Address Card Holder's Signature Total $ Prices are exclusive of VAT. 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 21, 2016 incur an administrative charge of 50%. If you cancel your registration after March 21, 2016 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. 2016 Big Data Calendar January Big Data Innovation Summit February Big Data & Analytics Innovation Summit Apache Hadoop Innovation Summit Data Science Innovation Summit Predictive Analytics Innovation Summit March Big Data & Analytics Innovation Summit Smart Cities Innovation Summit April Big Data & Analytics Innovation Summit Big Data Innovation Summit Data Visualization Summit Internet of Things Summit Gaming Analytics Summit May Big Data Innovation Summit Internet of Things Summit Big Data & Analytics in Healthcare Summit Predictive Analytics Innovation Summit Chief Data Officer Summit June Big Data & Analytics for Pharma Summit Machine Learning Innovation Summit HR & Workforce Analytics Innovation Data Science Festival Women in STEM Summit Big Data & Analytics for Retail Summit Customer Analytics Innovation Summit Data Security Innovation Summit Data Product Innovation Summit Chief Data Officer Summit July Big Data & Analytics for Banking Summit August Big Data & Analytics Innovation Summit Big Data & Analytics Innovation Summit Location Las Vegas Expected Attendees 150+ Dates January 28 & 29 Melbourne San Diego San Diego San Diego 150+ 100+ 100+ 200+ February 10 & 11 February 18 & 19 February 18 & 19 February 18 & 19 Singapore Singapore 200+ 100+ March 2 & 3 March 2 & 3 Hong Kong San Francisco San Francisco San Francisco San Francisco 150+ 800+ 150+ 150+ 150+ April 12 & 13 April 21 & 22 April 21 & 22 April 21 & 22 April 27 & 28 London London Philadelphia London San Francisco 150+ 100+ 200+ 150+ 150+ May 10 & 11 May 10 & 11 May 10 & 11 May 10 & 11 May 26 & 27 Philadelphia San Francisco San Francisco San Francisco San Francisco Chicago Chicago Austin Austin Singapore 150+ 150+ 150+ 150+ 100+ 200+ 200+ 100+ 100+ 100+ June 8 & 9 June 8 & 9 June 8 & 9 June 8 & 9 June 8 & 9 June 15 & 16 June 15 & 16 June 29 & 30 June 29 & 30 June 29 & 30 Melbourne 100+ July 12 & 13 Kuala Lumpur Shenzhen 150+ 100+ August 3 & 4 August 3 & 4 Sponsorship Opportunities Andrew Christofi [email protected] +1 415 315 9533 +44 207 193 6846 Delegate Invitations Roy Asterley [email protected] +1 415 692 5426 +44 203 769 1593 2016 Big Data Calendar September Big Data & Analytics Innovation Summit Big Data Innovation Data Visualization Summit Internet of Things Summit Big Data & Analytics Innovation Summit October Big Data & Analytics for Banking Summit Smart Cities Innovation Summit HR & Workforce Analytics Innovation November Big Data & Analytics for Pharma Summit Big Data & Marketing Innovation Summit Chief Data Officer Summit Data Visualisation Summit Big Data & Analytics Innovation Summit Social Media & Web Analytics Innovation Business Intelligence Innovation Summit Predictive Analytics Innovation Big Data & Analytics Innovation Summit Gaming Analytics Summit December Chief Data Officer Summit Big Data & Analytics for Banking Summit Location Shanghai Boston Boston Boston Sydney Expected Attendees 100+ 800+ 150+ 100+ 150+ Dates September 7 & 8 September 7 & 8 September 7 & 8 September 7 & 8 September 14 & 15 Hong Kong San Francisco Chicago 100+ 100+ 150+ October 19 & 20 October 19 & 20 October 19 & 20 Philadelphia Miami London London London Chicago Chicago Chicago Beijing Beijing 150+ 150+ 150+ 100+ 200+ 150+ 150+ 300+ 150+ 150+ November 3 & 4 November 3 & 4 November 10 & 11 November 10 & 11 November 10 & 11 November 16 & 17 November 16 & 17 November 16 & 17 November 23 & 24 November 23 & 24 New York New York 150+ 150+ December 7 & 8 December 7 & 8 Sponsorship Opportunities Andrew Christofi [email protected] +1 415 315 9533 +44 207 193 6846 Delegate Invitations Roy Asterley [email protected] +1 415 692 5426 +44 203 769 1593