Predictive Analytics Innovation Summitie.theinnovationenterprise.com/eb/PASanDiegoBrochure.pdf · 5...
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ie. Predictive Analytics Innovation Summit Advancing Insight Through Data Science FEBRUARY 18−19 2016 | SAN DIEGO df dvsd vs
Transcript of Predictive Analytics Innovation Summitie.theinnovationenterprise.com/eb/PASanDiegoBrochure.pdf · 5...
ie.
Predictive Analytics Innovation Summit
Advancing Insight Through Data Science
FEBRUARY 18−19 2016 | SAN DIEGO
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By covering the hottest topics within big data analytics and data science 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.
February 18 & 19, 2016
Marriott Marquis & Marina Hotel, 333 West Harbor Drive, San Diego, CA 92101
The main themes for this year’s discussion are:
• Data Science & Predictive Modelling
• Customer Analytics Across Multiple Platforms
• Machine Learning & Artificial Intelligence
• Data-driven Product Innovation
Predictive Analytics Innovation Summit
OverviewABOUT THE EVENT
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#PASanDiego
Confirmed Speakers
Bryan Balin, Product Manager, Analytics, Google Play
Sam Han, Director, Big Data & Personalization, Washington Post
Deep Varma, VP, Data Engineering, Trulia
Muktha Ananda, Director, Data Science, Microsoft XBOX
Emi Nomura, Principal Data Scientist, Jawbone
Ali Farahani, Chief Data Officer, Los Angeles County
Eric Williams, Director, Data Science, Omaha Health
Scott Tilton, Chief Executive Officer, Hookit
John Carnahan, CDO & EVP, Data Science Engineering, Live Nation
Asia Makhani, Sr Director, Engineering, LinkedIn
Jonathan Morra, Director, Data Science, eHarmony
Jeffrey Bohn, Chief Science Officer, State Street
Ram Subramanian, Director, Customer Analytics, Discover Financial Services
Jim Skinner, Staff Technical Program Manager, Twitter
Peter Sanborn, Director, Digital Analytics, Danaher
Pushpraj Shukla, Principal Engineering Lead, Microsoft Bing
Paolo Massimi, Director, Data Science, Stitch Fix
Zeesha Currimbhoy, VP, Augmented Intelligence, Evernote
Matt Dexter, Director, eCommerce & SEO, U-Haul International
Vaughn Quoss, Data Scientist, Airbnb
Shane McCauley, Director, People Systems & Analytics, Twitter
Wesley Pasfield, Manager, User Insights, GoPro
Erik Andrejko, VP, Data Science, Climate Corporation
Tim Converse, Head of Search Science Engineering, eBay
Arijit Sengupta, Chief Executive Officer, BeyondCore
Jules Malin, Manager, Product Analytics, GoPro
Fransisco Kurniadi, Director, Data Science, PayPal
Afsin Bulbul, Global Head of Predictive Modelling, eBay Inc
Hemant Joshi, Director, Data Science, L’Oreal
Frank Lo, Director, Data Science, Wayfair
Kyle Wierenga, Manager, Advanced Analytics, Costco Wholesale
SpeakersSPEAKERS AT A GLANCE
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Usually I’m exhausted at the end of a presentation. This time, I’m energized!“
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John Carnahan CDO & EVP, Data Science LIVE NATION
Data Science At eHarmony — A Generalized Framework For Personalization
Sam Han Director, Personalization THE WASHINGTON POST
Improving User Experience By Predicting Article Virality
Jonathan Morra Director, Data Science EHARMONY
Real-Time Analytics Of Big Data
The Washington Post newsroom publishes more than 1000 pieces of content a day. What if it was possible to predict which stories, out of all that content, were likely to go viral? Editors could target those stories to add photos, videos, links to related content and more, in order to more deeply engage the new and occasional readers clicking through to a popular story. Sam Han, engineering director of data science at The Washington Post, will explore how the media organization is approaching predictive virality for the benefit of its readers and will discuss features, algorithms and evaluation methods of a tool currently in development.
Data Science has always been a focus at eHarmony but recently many more business units have needed data driven models. In order to serve our modeling needs eHarmony has developed and open sourced a data transformation and model representation framework called Aloha. Aloha allows eHarmony to decouple engineering, model evaluation, from data science side, model creation. We have also embraced Apache Spark as an efficient way to create Aloha models for multiple business needs. This has allowed rapid modeling in areas such as personalized match making, models for our “What-If” product, fraud detection models, and email timing models.
Data scientists are dedicated to finding meaningful and often unexpected insights from data. This can be as simple as creating a trend-line on a spreadsheet to designing a schema in a relational database allowing for efficient discovery. What alternatives are out there when data sets are too large for a spreadsheet or relational database? Often the insights we want require full scans of massive data sets and are more complex than a simple SQL query can answer. Hadoop and similar batch big data systems have robust APIs and mature developer communities that fit this niche well for enterprise needs. However there is a class of problems that require data too large to store or have a hunger for insights faster than you can store the data. In this presentation I will review tools for this class of data and the problems they try to solve.
Keynote SpeakersSPEAKERS IN DETAIL
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SpeakersSPEAKERS IN DETAIL
Bryan Balin Product Manager, Analytics GOOGLE PLAY
Building A Fully Predictive CRM Program
Algorithmic Methods For Customer Experience Personalization
Frank Lo Director, Data Science WAYFAIR.COM
Decision Support in Agriculture - Bridging the Gap
Erik Andrejko VP, Data Science CLIMATE CORPORATION
Arijit Sengupta Chief Executive Officer BEYONDCORE
Risk Modeling Evolution: From Statistical Modeling To Data Science
Structure, Personalization, Scale: A Deep Dive Into LinkedIn Search
Asif Makhani Sr Director, Engineering GENERAL MILLS
Shane McCauley Director, People Analytics TWITTER
Empowering Front Line Managers: Twitter’s New Model Of Employee Engagement
Ali Farahani Chief Data Officer LOS ANGELES COUNTY
Master Data Management Supporting Data Analytics
Data Science Empowering Commerce Experiences At Scale
Ashok Ramani Leader, Big Data EBAY
Deep Varma VP, Data Engineering TRULIA
Driving Consumer Engagement Based On Data
VIEW FULL ABSTRACTS
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SpeakersSPEAKERS IN DETAIL
Ed Woo Sr Director, Marketing Analytics SHUTTERFLY
Developing A Marketing Analytics Playbook
Data Products And The Wearables Revolution
Emi Nomura Principal Data Scientist JAWBONE
Workshop: Deep Machine Learning Architecture & Big Data
Siamak Amirghodsi VP, Enterprise Architecture BANK OF AMERICA - MERRILL LYNCH
Jeffrey Bohn Chief Science Officer STATE STREET
How To Communicate Complexity With Cognitively Compelling Clarity
Who Moved My Truck? CRO For The Ever-Changing Customer
Matt Dexter Director, eCommerce U-HAUL
Ram Subramanian Director, Customer Analytics DISCOVER FINANCIAL SERVICES
Predictive Servicing: Personalising The Customer Experience
Eric Williams Director, Data Science OMADA HEALTH
What Healthcare Can Learn From Netflix: Personalising & Optimising Preventive Care
VIEW FULL ABSTRACTS
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SpeakersSPEAKERS IN DETAIL
Afsin Bulbul Head of Data Science EBAY
Building Customer Behavioral Models To Drive Digital Interaction
Driving Product Analytics & User Centricity At GoPro
Jules Malin Manager, Product Analytics GOPRO
Vaughn Quoss Data Scientist AIRBNB
Faith In Numbers: Data-Informed Decision-Making At Airbnb
VIEW FULL ABSTRACTS
Hemant Joshi Director, Data Science L’OREAL
Using Data Science To Inform Product Development
Smart Inventory: Buy Only the Stuff You Need
Paolo Massimi Director, Data Science STITCH FIX
Kyle Wierenga Manager, Advanced Analytics COSTCO
Taking Costco From Descriptive To Predictive And Prescriptive Analytics
Zeesha Currimbhoy VP, Augmented Intelligence EVERNOTE
Risk Modeling Evolution: From Statistical Modeling To Data Science
Delivering Deep Business Insights With Machine Learning & Semantics
Muktha Ananda Director, Data Science MICROSOFT XBOX
Tim Converse Head of Search Science Engineering EBAY
eBay Search Science: Leveraging Behavioral Data Analysis For Effective Query Reformulation
Pushpraj Shukla Principal Engineering Lead MICROSOFT
The Bigger the Better: How To Embrace And Make The Most Of Expanding Data Sources
Changing The Game In Sports
Scott Tilton Chief Executive Officer HOOKIT
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I can say hands down, you guys do the finest “
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US +1 415 692 5498 UK + 44 207 193 0386
Want to Sponsor any of our events? Contact:
REQUEST TO SPONSOR
SponsorsSPONSORS AND PARTNERS
Platinum Sponsor Gold Sponsor
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Gold Sponsor
Lunch Sponsor Exhibitor
ExhibitorMedia Partner Media Partner
Silver Sponsor
Gold Sponsor Exhibitor
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Who AttendsWHO ATTENDS OUR EVENTS
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07:30 Check in
08:30 Keynotes
Day 1
10:30 Coffee Break
11:00 Keynotes
13:00 Lunch
17:30 Networking Drinks
14:00 Keynotes
CHECK INAn opportunity to check yourself into the event and meet other leaders in your industry ahead of the day
Day 2
COFFEE BREAK & LUNCHA chance to sit down, network and connect with decision makers within the industry
KEYNOTESListen to actionable case studies largely brought to you by Fortune 500 companies
NETWORKING DRINKSA more relaxed environment in which to engage with all attendees and gain valuable connections
15:30 Coffee Break
16:00 Keynotes
07:30 Check in
08:30 Keynotes
10:30 Coffee Break
11:00 Keynotes
13:00 Lunch
14:00-15:30 Keynotes
ScheduleSCHEDULE AT A GLANCE
Key
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SUMMIT END
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Who AttendsWHO ATTENDS OUR EVENTS
78% of attendees are Director level or above
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-to-medium size companies.
Holding events in several locations around the world, we have acquired a global audience
director
vp/svp
manager
senior
cxo
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5000+1000-5000200-1000Less than 200
Company size of attendees by number of employees
45%
40%
10%
5%
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TICKETS AND PRICING OPTIONS
Tickets
US +1 415 992 5352 UK + 44 207 193 1224
Interested in attending? Register online or contact Sam ButtonBuy a group of at least 3 passes to receive up to 25% off
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 all presentations on the Big Data & Analytics Channel
Access to the co-located Apache Hadoop & Data Science Summits
Gold Pass Access All Areas Pass
Silver Pass1 Day PassOnDemand Pass
$600 $895 $1475 $1795 $1995
GROUP PASSES REGISTER ONLINE
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 January 18, 2016 incur an administrative charge of 50%. If you cancel your registration after January 18, 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.
Total $
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Gold Pass Access All Areas Pass
Silver Pass1 Day PassOnDemand Pass
$600 $895 $1475 $1795 $1995
Places are transferable without any charge within 12 months of the original purchase
+1 323 446 7673 +1 415 992 5352
GROUP PASSES REGISTER ONLINE
2016 Calendar
January Expected Attendees DateLocationBusiness Analytics Innovation Summit 150+ January 28 & 29Las VegasFebruary
Predictive Analytics Innovation Summit 250+ February 18 & 19San Diego
March
Gaming Analytics Innovation Summit 100+ March 3 & 4London
April
Social Media & Web Analytics Summit 150+ April 27 & 28San FranciscoSentiment Analysis Summit 100+ April 27 & 28San FranciscoGaming Analytics Innovation Summit 100+ April 27 & 28San FranciscoMayPredictive Analytics Innovation Summit 150+ May 10 & 11LondonHR & Workforce Analytics Innovation 100+ May 10 & 11London
Business Analytics Innovation Summit 150+ May 18 & 19Chicago
Business Intelligence Innovation Summit 150+Chicago
JuneMachine Learning Innovation Summit 150+ June 8 & 9San FranciscoData Science Festival 150+ June 8 & 9San Francisco
Big Data & Analytics for Retail 200+ June 16 & 17ChicagoCustomer Analytics Innovation Summit 200+ June 16 & 17Chicago
September
Banking Analytics Innovation Summit 150+ October 19 & 20Hong Kong
Women in STEM Summit 100+ June 8 & 9San Francisco
October
HR & Workforce Analytics Innovation 150+ October 21 & 22ChicagoNovember
Predictive Analytics Innovation Summit 300+ November 16 & 17Chicago
Marketing Analytics Innovation Summit 150+ May 18 & 19Chicago
Social Media & Web Analytics Summit 150+ November 16 & 17Chicago
Big Data & Analytics Innovation Summit 200+ November 16 & 17London
Gaming Analytics Innovation Summit 100+ November 23 & 24Beijing
DecemberBig Data & Analytics for Banking 150+ December 7 & 8New York
Big Data & Analytics Innovation Summit 200+ March 2 & 3Singapore
Big Data & Analytics Innovation Summit 150+ February 10 & 11Melbourne
Big Data & Analytics Innovation Summit 150+ April 12 & 13Hong Kong
Big Data & Analytics in Healthcare 150+ May 11 & 12Philadelphia
Big Data & Analytics Innovation Summit 100+ September 7 & 8ShanghaiBig Data & Analytics Innovation Summit 150+ September 14 & 15Sydney
Big Data & Analytics Innovation Summit 150+ November 23 & 24Beijing
AugustBig Data & Analytics Innovation Summit 150+ August 3 & 4Kuala LumpurBig Data & Analytics Innovation Summit 150+ August 3 & 4Shenzhen
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Sponsorship Opportunities
Euan [email protected]
+1 415 992 5510+44 207 193 4948
+1 415 992 5352+44 207 193 0569
DelegateInvitations
Sports Anlytics Innovation Summit 100+ February 23 & 24Melbourne
Sports Analytics Innovation Summit 200+ April 13 & 14London
Sports Anlaytics Innovation Summit 200+ August 23 & 24San Francisco
November 16 & 17
Big Data & Analytics Innovation Summit 100+ March 23 & 24Melbourne
HR & Workforce Analytics Innovation 150+ June 8 & 9San Francisco
