Schedule: Disruption & Opportunity sessions

With big data comes big opportunity. Find out which areas are ripe for disruption, where the startup opportunities are, and what investors think about big data.

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Crowdsourcing and the Democratization of Data
10:40am Wednesday, 02/02/2011
Crowdsourcing and the Democratization of Data
Location: Mission City B1
Tags: data_collection, social_science, crowdsourcing
Lukas Biewald (CrowdFlower)
Topics for any discipline that focuses on quantitative or technical data have always depended on the datasets that were available at the time. Crowdsourcing has changed that — democratizing the data-collection process and cutting researchers’ reliance on stagnant, overused datasets. Tools like Amazon Mechanical Turk allow anyone to gather data overnight, rather than waiting years. Read more.
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Extracting Business Value from Semi-Structured Data
11:30am Wednesday, 02/02/2011
Extracting Business Value from Semi-Structured Data
Location: Mission City B1
Tags: information_extraction, semi_structured_data
Cindi Thompson (Deloitte Consulting LLP)
Much useful business data is in "semi-structured" form: government filings, insurance claims, customer comment forms, etc. Although most search tools don't take advantage of it, knowing a little structure goes a long way. This talk will show how semi-structured data can be interpreted, summarized, and applied to produce business value in several real-life examples. Read more.
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Making Data Science a Sport
1:40pm Wednesday, 02/02/2011
Making Data Science a Sport
Location: Mission City B1
Tags: bioinformatics, forecasting, data_mining, crowdsourcing, machine_learning, data_prediction
Anthony Goldbloom (Kaggle)
Data modeling competitions allow companies and researchers to post a problem and have it scrutinised by the world's best data scientists. By exposing a problem to a wide audience, competitions are a great way to get the most out of a dataset. In just a few months, Kaggle's competitions have helped to progress the state of the art in chess ratings and HIV research. Read more.
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Wolfram|Alpha: Answering Questions with the World's Factual Data
5:00pm Wednesday, 02/02/2011
Wolfram|Alpha: Answering Questions with the World's Factual Data
Location: Mission City B5
Joshua Martell (Wolfram|Alpha)
The world's available scientific and factual data is growing at an alarming pace, but how do we use all this information? How do we incorporate it into our decision making process? Joshua Martell, will give an inside look into how Wolfram|Alpha works, what it takes to make data "computable", understand user input, and present meaningful results. Read more.
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Where's the Money in Big Data?
10:40am Thursday, 02/03/2011
Where's the Money in Big Data?
Location: Mission City B1
Tags: investment, money, venture_capital
Tim Guleri (Sierra Ventures), Roger Ehrenberg (IA Ventures), Paul Kedrosky (Kauffman Foundation), Ping Li (Accel Partners)
The ability to collect, crunch, act upon, and share huge amounts of data disrupts nearly every industry, tearing down barriers to entry and creating entirely new businesses. This panel of investors will discuss where they see the opportunities in the Big Data industry, and how they think about the value of new ventures in the space. Read more.
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Online Sentiment, Machine Learning, and Prediction
11:30am Thursday, 02/03/2011
Online Sentiment, Machine Learning, and Prediction
Location: Mission City B1
Tags: sentiment_analysis, predictive_analytics, machine_learning
Ben Gimpert (Altos Research), Margaret Francis (Exact Target/ CoTweet), Ryan Strynatka (Radian6), Josh Merchant (Lymbix) Moderated by: Alistair Croll
Today's web analyst has moved far beyond funnels and visitors. Automated systems decide who gets what content, and language parsing tries to distill sentiment from millions of online interactions. This panel will look at where web analytics is headed, and how new algorithms and approaches are yielding fresh insights into online commerce. Read more.
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Predicting the Future: Anticipating the World with Data
5:00pm Thursday, 02/03/2011
Predicting the Future: Anticipating the World with Data
Location: Mission City M
Tags: prediction, future, anticipate
Drew Conway (New York University), Christopher Ahlberg (Recorded Future), Robert McGrew (Palantir Technologies), Rion Snow (Twitter) Moderated by: Drew Conway
Data doesn't just show us the past—it can help predict the future. Several new firms harvest massive amounts of open data, trying to anticipate everything the right ad placement to the next terrorist attack. In this session, we bring together the founders of these firms to discuss the technology—and ethics—of looking into the future. Read more.

Sponsors

  • Thomson Reuters
  • EMC Data Computing Division
  • EnterpriseDB
  • Microsoft
  • Gnip
  • Rackspace Hosting
  • IBM
  • Windows Azure MarketPlace DataMarket
  • Amazon Mechanical Turk
  • Amazon Web Services
  • Aster Data
  • Cloudera
  • Clustrix
  • DataStax, Inc. (formerly Riptano, Inc.)
  • Digital Reasoning Systems
  • Heritage Provider Network
  • Impetus
  • Jaspersoft
  • Karmasphere
  • LinkedIn
  • MarkLogic
  • Pentaho
  • Pervasive
  • Revolution Analytics
  • Splunk
  • Urban Mapping
  • Wolfram|Alpha
  • Esri
  • ParAccel
  • Tableau Software

Sponsorship Opportunities

For information on exhibition and sponsorship opportunities at the conference, contact Susan Young at syoung@oreilly.com

Download the Strata Sponsor/Exhibitor Prospectus

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