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
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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.
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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
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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
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“
Usually I’m exhausted at the end of a
presentation. This time, I’m energized!
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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.
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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
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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
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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?
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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
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“
I can say hands down, you guys do the finest
job of anyone in the media conference space
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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
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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
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WHO ATTENDS OUR EVENTS
Who Attends
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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
.
.
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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