Big Data Innovation Summit

April 9 & 10, Santa Clara, 2014

The Schedule

*Please note, this is subject to change

The agenda is now live with more awesome speakers being added on a weekly basis. 

Please scroll through the tracks to see what's happening at #datawest14, we have the Keynotes, Data Analytics Track, Hadoop & NoSQL Track, Data Science Track & the Machine Learning & Algorithms track.

  • Data Analytics
  • Hadoop & NoSQL
  • Data Science
  • ML & Algorithms
  • Breakout Sessions

Day 1

07:00

Registration & Light Breakfast

08:25

Big Data Innovation Keynotes

10:30

Exhibition Zone Coffee Break

12:30

Lunch

14:00

A|B testing in the real world

Elena Grewal — Head of Data Science at Airbnb

14:30

Implementing Big Data Quality Across 10,000,000,000 Records

Christophe Toum — Product Manager at Talend

15:00

Unleashing the True Potential of Big Data

Venkat Krishnamurthy — Director, Product Management at YarcData

15:30

Exhibition Zone Coffee Break

16:00

From Insight to Impact: Lessons Learned in Executing the ‘Last Mile’ of Analytics Projects

Richard Wendell — Head of Data Science at CDO MIT

16:30

Using Streaming Big Data Analytics to Delight Customers

Dr. Dale Skeen — Co-Creator at Vitria

17:00

Public Policy and the Complexity of Analytics

David Stringfellow — Chief Economist, Data at State of Utah

14:00

Lessons From HERE’s Big Data Evolution

Don Zereski — VP, Search, Places & Big Data at HERE, a Nokia Company

14:30

HPC and Big Data - Convergence or Competition?

Joseph George — Exec Director, Big Data at Dell

15:30

Exhibition Zone Coffee Break

16:00

Implementation of Distributed Systems

Kapil Surlaker — Sr Manager, Engineering at LinkedIn

16:30

Big Data Platform at the Worlds's Largest Fan-to-Fan Ticket Marketplace

Sastry Malladi — Chief Architect at StubHub

17:00

Stores Behind the Doors @eharmony

Prateek Jain — Director, Engineering at eHarmony

14:00

Data Science Value Chain for Mobile Health

Bharath Sudharsan — Chief Data Scientist at WellDoc

14:30

Personalizing Connected Commerce

Matthias Spycher — Chief Engineer at eBay

15:00

Building Products with Data: A/B Testing, Feature Analysis & Everyday Decisions

Nell Thomas — Director, Data Analyst Team at Etsy

15:30

Exhibition Zone Coffee Break

16:00

Recommending Jobs You May Be Interested In

Anuj Goyal — Software Engineer at LinkedIn

16:30

Big Data' Lessons from the Obama Campaign

Amy Gershkoff — Chief Data Officer at Zynga

17:00

Building a Data Science Team

Todd Holloway — Director, Algorithms at Netflix

14:00

Mining Cancer Clinical Data using Topic Modeling

Xinghua Lou — Machine Learning R&D at Bing

14:30

Real-Time, Cross-Domain Data Management for Big Data Analytics Systems

Dale Russell — CTO at Talksum

15:00

What are Diners Talking About?

Sudeep Das — Data Scientist at OpenTable

15:30

Exhibition Zone Coffee Break

16:00

Highly Available Machine Learning Systems to Move Money

Taylor Phillips — Machine Learning Lead at Square

16:30

LDA Topic Modeling to Find User Archetypes for Search & Matching

Thomas Levi — Director, Data Science at Unbounce

17:00

Predicting Human Analytics

John Funge — Chief Technology Officer at Knack

14:00

Analytic Strategies for Predicting Business Behavior

Jon Ball — Director, Data Insights at D&B

14:45

To SQL or NoSQL? That is the question

Dirk deRoos — Technical Sales Leader at IBM

16:00

Hadoop, BI, and NoSQL Future Directions, Opportunities and Pitfalls

Sanjeet Singh — Director, Cloud & Big Data at Dell

16:45

Customer Visualization through Big Data

Raj Sen — GM, Customer Analytics at Adobe

17:30

Networking Reception Drinks, Exhibition Zone

  • Data Analytics
  • Hadoop & NoSQL
  • Data Science

Day 2

07:30

Registration & Light Breakfast

08:25

Big Data Innovation Keynotes

10:25

Big Data Innovation 2014 Awards

10:30

Exhibition Zone Coffee Break

12:30

Lunch

Data Analytics

14:00

Cutting Through the Big Data Hype for True Customer Insight

Walter Maguire — Chief Field Technologist at HP

15:00

From the Big Bang to the New Economy, a Journey in Making Sense of Big Data

Patrick Deglon — Director, Analytics at Motorola

15:30

Reaching a Target Audience using Analytics

Julie Mumford — Senior Analyst at All Recipes

Hadoop & NoSQL

14:00

One Platform for All Big Data

Anoop Dawar — Sr. Director, Product at MapR Technologies

14:30

Hadoop, HBase, and DNA Analysis at Ancestry.com

Jeremy Pollack — Lead Engineer at Ancestry

15:00

Cloud Native Hadoop at Netflix

Eva Tse — Big Data Platform Leader at Netflix

Data Science

14:00

Empowering the Data Scientist

Andrew Ahn — Senior Director, Big Data at ICE/NYSE

14:30

Building Data Products - There's more to it that just Data

Vikas Sabnani — Sr Director, Data Science at Glassdoor

15:00

The Purchase Graph and the Future of E-Commerce Analytics

Conal Sathi — Data Alchemist at Slice

15:30

Predictive Analytics Gaining a Seat at the Strategy Table

Tom Kern — Risk Modeling Manager at Paychex

16:00

End of Big Data Innovation - See you next time!

* Please note that due to the busy schedules and work priorities of our speakers, the schedule is subject to change - we will always endeavour to find a suitable replacement wherever possible. Left_double_arrowBack