Data Science Leadership Summit Creating a data-driven culture

Transcription

1 Data Science Leadership Creating a data-driven culture November 12, 2014 Chicago, Illinois

2 Previous Speakers 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

3 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 executives from major corporations and innovative small to medium size companies. Job Title Of Attendees 78% Attendees are at Director level or above 3% President /Principal Company Size Of Attendees Employees Employees Employees Less than 49 Employees 21% 12% SVP/VP C-Level 56% 81% Attendees are companies with at least 300 employees 8% 11% 25% 42% 13% 8% Snr. Director /Director Global Head / Head Snr. Manager /Manager Academic (1%) 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 F TI L

4 About The The Data Science Leadership 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 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. Previous Speakers Nilesh Jain Lead Research Scientist Intel Labs Power of Relationship Challenges & Opportunity in Big Data 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 scaling, 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). 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 Nell Thomas Group Manager, Data Etsy 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.

5 Previous Speakers Taylor Phillips Manager, Data Science Square 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 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. Michael Li Data Scientist Foursquare Tianhui Michael Li is data scientist at Foursquare where he is responsible for building out the adaptive machinelearning infrastructure that powers venue 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 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. Mechie Nkengia Senior Data Scientist Groupon How Organizations are Utilizing Big Data and Data Science to Optimize their Operations 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 interactions, and past deals into actionable 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 startups, government labs, and large companies alike. 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.

6 The Information Data Science Leadership Date: City: November 12, 2014 Chicago, IL Registration Pricing Diamond Pass Silver Pass Gold Pass $795 $995 $1895 Access to all sessions, networking events & unlimited access to presentations from the summit via ieondemand Access to all sessions including Predictive Analytics & BI, annual subscription to all content on the Big Data & Analytics channels via ieondemand Access to all sessions & networking events 7 days access to presentations from the summit via ieondemand $695 $895 $1695 Early Bird Price (before Sept 5) Early Bird Price (before Sept 5) Early Bird Price (before Sept 5) On-Demand Pass $600 Unlimited access to presentations from the summit via ieondemand, including presentations, interviews & the ability to contact speakers Unlimited access to summit presentations via ieondemand Group Discount Offers 3 Silver Passes: 5 Silver Passes: 3 Gold Passes: 5 Gold Passes: 3 Diamond Passes: 5 Diamond Passes: $1500 ($500 per attendee) $2000 ($400 per attendee) $1800 ($600 per attendee) $2750 ($550 per attendee) $3600 ($1200 per attendee) $5000 ($1000 per attendee) For larger groups or special requests contact Sean Foreman by calling or sforeman@theiegroup.com * Team discounts are applicable at the point of registration only. Ways to Register Register Here

7 Registration Form Data Science Leadership November 12, 2014 Chicago Illinois For registration or more information on the program, please call Daniel on +1 (617) , or fax this registration form to +1 (323) Delegate Information... NAME OF EACH ATTENDEE TITLE OF EACH ATTENDEE DEPARTMENT COMPANY INDUSTRY ADDRESS CITY STATE/PROVINCE ZIP/POSTAL CODE COUNTRY OF EACH ATTENDEE BUSINESS PHONE NUMBER 2. Pass Types... Early Bird Pass Options until September 5, 2014 Early Bird Silver: $695 Early Bird Gold: $895 Early Bird Diamond: $1695 Regular Pass Options after September 5, 2014 Silver Pass: $795 Gold Pass: $995 Diamond Pass: $1895 Pass Descriptions: Silver Pass: Access to all sessions & networking events Gold Pass: Access to all sessions, networking events & unlimited access to the summit presentations via ieondemand Diamond Pass: Access to Predictive Analytics, BI & Data Science Leadership sessions, networking events, annual subscription to all content on the channels via ieondemand 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 or sforeman@theiegroup.com Group passes only available when all participants register together. Check (Make checks payable to The Innovation Enterprise Ltd) Invoice me Visa Mastercard American Express Diners Club Discover CARD NUMBER EXPIRATION DATE SECURITY NO. CARDHOLDERS NAME CARDHOLDER S SIGNATURE BILLING ADDRESS INDUSTRY Prices are exclusive of VAT. Places are transferable without any charge to another 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.

8 Previous Sponsors For sponsorship information contact Giles at F TI L

9 Big Data 2014 Calendar January Big Data January 22 & 23, Las Vegas February Data Science Innovation February 18, San Diego Hadoop Innovation February 19 & 20, San Diego The Digital Oilfield February 20 & 21, Buenos Aires February 27 & 28, Singapore March Big Data March 27 & 28, Hong Kong April Big Data April 9 & 10, Santa Clara Big Data Infrastructure April 9 & 10, Santa Clara Data Visualization April 9 & 10, Santa Clara May Big Data May 14 & 15, London in Healthcare May 14 & 15, Philadelphia Chief Data Officer May 21 & 22, San Francisco June Big Data June 4 & 5, Toronto for Pharma June 11 & 12, Philadelphia Open Data Innovation June 11 & 12, Boston for Retail June 19 & 20, Chicago September September 17 & 18, Sydney Data Visualization September 25 & 26, Boston Big Data September 25 & 26, Boston October October 15 & 16, Dubai October Continued October 16 & 17, London November for Pharma November 5 & 6, Philadelphia Big Data & Marketing November 6 & 7, Miami Big Data for Finance November 12 & 13, Boston Data Science Innovation November 12, Chicago Data Visualization November 12 & 13, London Chief Data Officer November 12 & 13, London November 27 & 28, Beijing December in Banking December 3 & 4, New York Chief Data Officer December 3 & 4, New York Flagship Finance High Tech Pharma CXO Hadoop Healthcare Oil & Gas Women Expected Government Partnership Opportunities: Giles Godwin-Brown ggb@theiegroup.com Attendee Invitation: Sean Foreman sforeman@theiegroup.com

10 Analytics 2014 Calendar January Business Analytics January 22 & 23, Las Vegas February Data Science Innovation February 18, San Diego Predictive Analytics February 19 & 20, San Diego February 27 & 28, Singapore March HR & Workforce Analytics Innovation March 19 & 20, London Sports Analytics Innovation March 26 & 27, London Predictive Analytics March 27 & 28, Hong Kong May Social Media & Web Analytics May 1 & 2, San Francisco Sentiment Analysis May 1 & 2, San Francisco Gaming Analytics May 1 & 2, San Francisco May Continued Predictive Analytics May 14 & 15, London Digital & Web Analytics Innovation May 14 & 15, London in Healthcare May 14 & 15, Philadelphia Business Intelligence May 21 & 22, Chicago HR & Workforce Analytics Innovation May 21 & 22, Chicago Business Analytics May 21 & 22, Chicago Manufacturing Analytics May 21 & 22, Chicago Big Data & Advanced Analytics in Government May 21 & 22, Washington, DC June for Pharma June 11 & 12, Philadelphia for Retail June 19 & 20, Chicago Customer Analytics June 19 & 20, Chicago September Sports Analytics Innovation September 10 & 11, Boston September 17 & 18, Sydney October October 16 & 17, London November Sports Performance November 5 & 6, Manchester for Pharma November 5 & 6, Philadelphia Social Data Innovation November 6 & 7, Miami Business Intelligence November 12 & 13, Chicago Predictive Analytics November 12 & 13, Chicago Data Science Leadership November 12, Chicago November 27 & 28, Beijing Sports Social Media Expected Attendees Healthcare Flagship Banking Retail HR Partnership Opportunities: Giles Godwin-Brown ggb@theiegroup.com Attendee Invitation: Sean Foreman sforeman@theiegroup.com