Data Science Leadership Summit

Creating a data-driven culture

November 12, 2014Chicago, Illinois

Previous Speakers

• Chief Risk Officer, CashStar

• Senior Data Scientist, Groupon

• Principal Data Scientist, Paypal

• Senior Researcher, Intel

• Principal Data Scientist, ShareThis

• Head of Marketing & Analytics, Motorola

• Director, Analytics, Yammer

• Manager, Data Science, Square

• Data Scientist, Foursquare

• Group Manager, Data, Etsy

• Senior Director, Analytics, Zillow

• Data Scientist, Airbnb

• Analytics Engineer, Rent the Runway

• Director, Data Science, Codecademy

Previous Speakers

Delegates Include

• Chief Scientist - PayPal

• Former Chief Scientist - Amazon

• Chief Data Officer - City of Chicago

• Chief Operating Officer - Electronic Arts

• Chief Data Scientist - Accretive Health

• Chief Information Officer - Big Fish Games

Who Will You Meet?There is no question that IE. provides the gold standard events in the industry and will connect you with decision makers within the analytics industry. You will be meeting senior level execut ives from major corporations and innovative small to medium size companies.

Job Title Of Attendees

President/Principal

SVP/VP

C-Level

Snr. Director/Director

Global Head/ Head

Snr. Manager/Manager

Academic (1%)

78%

1000+ Employees300-999 Employees50-299 EmployeesLess than 49 Employees

Company Size Of Attendees

8%

11%

25%56% 81%Attendees are

companies with at least 300

employees

3%

21%

12%

42%

13%

8%

Attendees are at Director level or above

F TI L

The Data Science Leadership Summit brings together thought-leaders from the industry for an event acclaimed for its interactive sessions and high-level speakers.

As organizations grow and the need to invest in data science in order to drive success becomes clear, support from senior leadership and a true understanding of the need for a data-driven culture is a necessity. This event will focus on how organizations can get started in Big Data, and how to create the right data science team. Speakers will share real-world examples of how they have

benefited from creating a data-driven culture in their organizations.

Illustrated intermittently with case studies and deep-dive discussions, the Data Science Leadership Summit offers solutions and insight from the leaders in the space. With networking breaks and roundtable discussions also included, this event offers unique insight into how you can transform the focus of your organization around data science.

About The Summit

Previous Speakers

Nellwyn Thomas is an analyst on the Data team at Etsy, where she works closely with product, engineering, and senior management to scout, build, instrument and improve Etsy’s product portfolio. Before Etsy, she worked on analytics and product teams at two small NYC area start-ups. Nell is a graduate of Harvard College, and holds a master’s degree from the University of Pennsylvania.

Fostering a Data Culture

In this talk, we will discuss how Etsy uses data to inform product development, from prioritization to experimentation to launch communication, and everything in between. At Etsy, we push code over 30 times a day and we have terabytes of data generated by the tens of millions of members of our community. This talk will cover the challenges of planning with continuous experimentation and deployment, as well as the evolution of Etsy's data culture.

Nell ThomasGroup Manager, DataEtsy

Nilesh Jain is Sr. Research Scientist with the Cluster Computing Architecture team in Intel Labs. His current research focus is on emerging frameworks for large-scale machine learning and big data analytics. His other research interests include systems architectures and technologies that improve scal ing, performance, and power consumption of distributed parallel computing. Before joining Intel Labs in 2007, Nilesh spent 11 years working on various telecom and I/O technologies within Intel product groups and at a premier telecom research organization (C-DOT) in India. Nilesh was an open source contributor to Linux Standard Base (LSB).

Power of Relationship – Challenges & Opportunity in Big Data

Exploding growth in the discovery of knowledge from Big Data is fueling the study of data through relationships that can be expressed as graph. In this presentation, Nilesh will introduce graph based data mining and structured machine learning techniques that creates new opportunities for monetization by extracting high value out of Big Data. At the same time large-scale graph processing creates new system-level challenges that require careful distributed systems design

Nilesh JainLead Research ScientistIntel Labs

Previous Speakers

Taylor Phillips manages the data science and machine learning teams at Square, which are responsible for fraud detection and other data monetization strategies such as recommendation systems. Taylor brings a backend, infrastructure lens to the machine learning domain, helping architect a reliable, highly-available, real-time risk pipeline to support the rigorous requirements of the payments industry. Before Square, Taylor spent several years building and commanding an army of online poker bots.

Data Science & Machine Learning @ Square

Square is making commerce easy for millions of merchants and customers in both online and offline environments. Many of Square's innovations that blew away industry standards, such as next day settlement and frictionless signup/underwriting, are enabled by powerful data science and machine learning. In this talk, we'll discuss Square's fraud detection pipeline and infrastructure, its evolution from startup to enterprise, and some things we learned along the way. We'll also look towards the future and share some strategies that Square is considering to monetize its rich, line-item data.

Taylor PhillipsManager, Data ScienceSquare

Tianhui Michael Li is data scientist at Foursquare where he is responsible for building out the adaptive machine-l e a r n i n g i n f r a s t r u c t u r e t h a t p o w e r s v e n u e recommendations and ads.   Previously, he has worked at Andreessen Horowitz as a data scientist, Google as a software engineer, D.E. Shaw as a quant, and NASA as a nuclear physicist.   He studied mathematics in Cambridge as a Marshall Scholar and completed his PhD at Princeton with support from the National Science Foundation and Hertz Foundation Fellowships.   As a chronic but grateful recipient of scholarship funding, he is proud to serve on the board of New York Needs You, a non-profit that fights for

Michael LiData ScientistFoursquare

social-economic mobility for low-income first-generation college students.

Building a Data-Driven Culture: The Foursquare Experience

Building a data-driven culture is one of the biggest challenges facing today’s companies.   I’ll talk about our experience at Foursquare from hiring the right people, selecting key enabling technologies, building up business processes, and common-challenges and pitfalls.   I’ll also talk about some of the most impactful ways in which we use data for our company and our product.

Dr. Mechie   Nkengla is Senior Data Scientist at Groupon, where she   researches and operationalizes novel ways to turn Groupon's  massive stores of financial data, consumer interact ions, and past deals   into act ionable business   insights. She holds a Ph.D. in Mathematics with a Masters in Mathematical Computer Science. Her current and past work spans   data mining and machine learning t e c h n i q u e s o v e r m a s s i v e s t r u c t u r e d and  unstructured  data, always with a focus on business/engineering collaboration and   requirements translation. She holds several patents and has done research at start-ups, government labs, and large companies alike.

Mechie NkengiaSenior Data Scientist Groupon

How Organizations are Utilizing Big Data and Data Science to Optimize their Operations

It's a challenge for organizations that now find they would like to leverage the stores of data they have been collecting, to optimize strategic decisions that will drive the direction of the organizations. The struggles they face include moving from a gut-intuition based model to a more data driven approach, identifying the truly relevant questions that they should be asking and even how to hire the right persons or teams to leverage this very important drive. The talk will focus on the above concepts and some solutions to the challenges.

The Information

Registration Pricing

Data Science Leadership SummitDate: November 12, 2014City: Chicago, IL

For larger groups or special requests contact Sean Foreman by calling +1 415 692 5517 or email sforeman@theiegroup.com* Team discounts are applicable at the point of registration only.

Ways to Register

+1 617 830 1805 +1 323 446 7673

Group Discount Offers3 Silver Passes: $1500 ($500 per attendee)5 Silver Passes: $2000 ($400 per attendee)3 Gold Passes: $1800 ($600 per attendee)5 Gold Passes: $2750 ($550 per attendee)3 Diamond Passes: $3600 ($1200 per attendee)5 Diamond Passes: $5000 ($1000 per attendee)

Silver Pass

$795Access to all sessions &

networking events7 days access to presentations from the

summit via ieOnDemand

$695Early Bird Price(before Sept 5)

Diamond Pass

$1895Access to all sessions including

Predictive Analytics & BI, annual subscription to all content on the Big

Data & Analytics channels via ieOnDemand

$1695Early Bird Price(before Sept 5)

Gold Pass

$995Access to all sessions, networking

events & unlimited access to presentations from the summit via

ieOnDemand

$895Early Bird Price(before Sept 5)

On-Demand Pass

$600Unlimited access to presentations from the summit via ieOnDemand,

including presentations, interviews & the ability to contact speakers

Unlimited access to summit presentations

via ieOnDemand

Register Here

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 October 10, 2014 incur an administrative charge of 50%. If you cancel your registration after October 10, 2014 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.

NAME OF EACH ATTENDEE

TITLE OF EACH ATTENDEE DEPARTMENT

COMPANY INDUSTRY

ADDRESS CITY

STATE/PROVINCE ZIP/POSTAL CODE COUNTRY

EMAIL OF EACH ATTENDEE BUSINESS PHONE NUMBER

1. Delegate Information...

2. Pass Types...Early Bird Pass Options until September 5, 2014

Early Bird Silver: $695 Attendees ____ Early Bird Gold: $895 Attendees ____ Early Bird Diamond: $1695 Attendees ____

Regular Pass Options after September 5, 2014 Silver Pass: $795 Attendees ____ Gold Pass: $995 Attendees ____ Diamond Pass: $1895 Attendees ____

Pass Descriptions:Silver Pass: Access to all sessions & networking eventsGold Pass: Access to all sessions, networking events & unlimited access to the summit presentations via ieOnDemandDiamond Pass: Access to Predictive Analytics, BI & Data Science Leadership sessions, networking events, annual subscription to all content on the Big Data & Analytics channels via ieOnDemand

Check (Make checks payable to The Innovation Enterprise Ltd) Invoice me

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BILLING ADDRESS INDUSTRY

Registration FormData Science Leadership SummitNovember 12, 2014 | Chicago | IllinoisFor registration or more information on the program, please call Daniel on +1 (617) 830 1805, or fax this registration form to +1 (323) 446 7673

3. Payment Options...

Group Discount Pass Options 3 Silver Passes $1500 ($500 per attendee) 5 Silver Passes $2000 ($400 per attendee) 3 Gold Passes $1800 ($600 per attendee) 5 Gold Passes $2750 ($550 per attendee) 3 Diamond Passes $3600 ($1200 per attendee) 5 Diamond Passes $5000 ($1000 per attendee)

For larger groups or special requests contact Sean by calling 415 692 5517 or email sforeman@theiegroup.com Group passes only available when all participants register together.

Previous Sponsors

Previous Exhibitor Previous Exhibitor

Previous Exhibitor Previous Exhibitor

Previous Exhibitor Previous Exhibitor

Previous ExhibitorFor sponsorship information contact Giles at ggb@theiegroup.com F TI L

Previous Exhibitor

Partnership Opportunities: Giles Godwin-Brown | ggb@theiegroup.com | +1 415 692 5498Attendee Invitation: Sean Foreman | sforeman@theiegroup.com | +1 415 692 5514

NovemberBig Data & Analyticsfor PharmaNovember 5 & 6, Philadelphia

Big Data & Marketing Innovation SummitNovember 6 & 7, Miami

Big Data for Finance November 12 & 13, Boston

Data Science Innovation Summit November 12, Chicago

Data VisualizationSummit November 12 & 13, London

Chief Data Officer Summit November 12 & 13, London

Big Data & Analytics Innovation SummitNovember 27 & 28, Beijing

DecemberBig Data & Analytics in Banking Summit December 3 & 4, New York

Chief Data Officer Summit December 3 & 4, New York

OctoberBig Data & Analytics Innovation SummitOctober 15 & 16, Dubai

JanuaryBig Data Innovation SummitJanuary 22 & 23, Las Vegas

FebruaryData Science InnovationSummitFebruary 18, San Diego

Hadoop InnovationSummitFebruary 19 & 20, San Diego

The Digital Oilfield Innovation SummitFebruary 20 & 21, Buenos Aires

Big Data & Analytics Innovation Summit February 27 & 28, Singapore

JuneBig Data Innovation Summit June 4 & 5, Toronto

Big Data & Analytics for PharmaJune 11 & 12, Philadelphia

Open Data Innovation SummitJune 11 & 12, Boston Big Data & Analytics for Retail SummitJune 19 & 20, Chicago

MayBig Data Innovation SummitMay 14 & 15, London

Big Data & Analytics in Healthcare May 14 & 15, Philadelphia

Chief Data Officer SummitMay 21 & 22, San Francisco

SeptemberBig Data & Analytics Innovation SummitSeptember 17 & 18, Sydney

Data Visualization SummitSeptember 25 & 26, Boston

Big Data Innovation SummitSeptember 25 & 26, Boston

Big Data

Women

Finance

CXO Healthcare

Expected

Flagship

Government

High Tech Pharma

Oil & GasHadoop

MarchBig Data Innovation SummitMarch 27 & 28, Hong Kong

2014 Calendar

AprilBig Data Innovation SummitApril 9 & 10, Santa Clara

Big Data Infrastructure SummitApril 9 & 10, Santa Clara

Data Visualization SummitApril 9 & 10, Santa Clara

October Continued

Big Data & Analytics Innovation Summit October 16 & 17, London

JanuaryBusiness Analytics Innovation Summit January 22 & 23, Las Vegas

MarchHR & Workforce Analytics InnovationMarch 19 & 20, London

Sports Analytics Innovation SummitMarch 26 & 27, London

Predictive AnalyticsInnovation SummitMarch 27 & 28, Hong Kong

FebruaryData Science Innovation SummitFebruary 18, San Diego

Predictive Analytics Innovation Summit February 19 & 20, San Diego

Big Data & Analytics Innovation Summit February 27 & 28, Singapore

May Continued

Predictive Analytics Innovation Summit May 14 & 15, London

Digital & Web Analytics Innovation May 14 & 15, London

Big Data & Analytics in Healthcare May 14 & 15, Philadelphia

Business Intelligence Innovation Summit May 21 & 22, Chicago

HR & Workforce Analytics Innovation May 21 & 22, Chicago

Business Analytics Innovation Summit May 21 & 22, Chicago

Manufacturing Analytics Innovation SummitMay 21 & 22, Chicago

Big Data & Advanced Analytics in Government May 21 & 22, Washington, DC

Partnership Opportunities: Giles Godwin-Brown | ggb@theiegroup.com | +1 415 692 5498Attendee Invitation: Sean Foreman | sforeman@theiegroup.com | +1 415 692 5514

SeptemberSports Analytics Innovation September 10 & 11, Boston

Big Data & Analytics Innovation SummitSeptember 17 & 18, Sydney

Analytics

JuneBig Data & Analytics for PharmaJune 11 & 12, Philadelphia

Big Data & Analytics for Retail SummitJune 19 & 20, Chicago

Customer Analytics Innovation SummitJune 19 & 20, Chicago

MaySocial Media & Web Analytics Innovation SummitMay 1 & 2, San Francisco

Sentiment Analysis Summit May 1 & 2, San Francisco

Gaming Analytics Summit May 1 & 2, San Francisco

OctoberBig Data & Analytics Innovation Summit October 16 & 17, London

NovemberSports PerformanceInnovation Summit November 5 & 6, Manchester

Big Data & Analytics for PharmaNovember 5 & 6, Philadelphia

Social Data Innovation November 6 & 7, Miami

Business Intelligence Innovation SummitNovember 12 & 13, Chicago

Predictive Analytics Innovation Summit November 12 & 13, Chicago

Data Science Leadership Summit November 12, Chicago

Big Data & Analytics Innovation Summit November 27 & 28, Beijing

Retail HR

HealthcareExpected Attendees

BankingFlagship Summit

Sports Social Media

2014 Calendar