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SmartData Collective > Analytics > Predictive Analytics > PAW/TAW – The Most Important Influencers in Analytics
AnalyticsPredictive AnalyticsText Analytics

PAW/TAW – The Most Important Influencers in Analytics

EricSiegel
Last updated: 2011/09/15 at 3:45 PM
EricSiegel
4 Min Read
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The Most Important Influencers in Analytics

Predictive Analytics World and Text Analytics World

Contents
The Most Important Influencers in AnalyticsThe Most Important Influencers in Analytics

The Most Important Influencers in Analytics

Predictive Analytics World and Text Analytics World – next month in
NYC – deliver sessions and workshops from the most influential industry leaders in the fields of predictive analytics and text analytics including:

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John Elder
CEO & Founder
Elder Research, Inc.

John has headed the largest analytics services firm in North America for 16 years, and is a top thought leader, practitioner, and author in data mining. He is the General Chair of PAW-Government, and has served five years on a panel appointed by the President to guide technology for National Security. View full bio here.

PAW special plenary session: Data Mining Lessons Learned from Applied Projects with Anheuser-Busch, SSA, Netflix

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TAW Keynote: Text Mining: Lessons Learned

Post-conference workshop: Predictive Modeling Methods and Common Data Mining Mistakes. We are pleased to announce the return of this hugely popular workshop – sign up now before it sells out.


Thomas DavenportThomas Davenport
President’s Distinguished Professor
Babson College
Author, Competing on Analytics
PAW/TAW Joint Keynote: Every Day Analytics: Making Leading Edge Pervasive

 

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David C. GondekDavid C. Gondek
IBM Technical Lead, Watson
IBM Research
PAW/TAW Joint Keynote: Building Watson – An Overview of the DeepQA Project

 

Dean AbbottDean Abbott
President, Abbott Analytics
TAW Session: Rules Rule: Inductive Business-Rule Discovery in Text Mining
PAW Session: Turning Member Satisfaction Surveys into an Actionable Narrative
Pre-conference workshop: Hands-On Predictive Analytics with SAS Enterprise Miner

 

Piyanka Jain Piyanka Jain
Head of NA Business Analytics, PayPal
PAW Session: Putting Predictive Analytics into Context: The Analytics Value Chain
Pre-conference workshop: Predictive Analytics: Fundamentals and Use Cases
Pre-conference workshop: Hands-On Business Analytics: Insights to Impact

 

Puneet Sharma Puneet Sharma
Senior Manager, PayPal
PAW Session: Putting Predictive Analytics into Context: The Analytics Value Chain
Pre-conference workshop: Predictive Analytics: Fundamentals and Use Cases
Pre-conference workshop: Hands-On Business Analytics: Insights to Impact

 

James TaylorJames Taylor
CEO
Decision Management Solutions
PAW Session: Next Generation Claims Systems
Pre-conference workshop: Driving Enterprise Decisions with Business Analytics

 

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And that’s just the tip of the iceberg. Check out these sessions:

  • Eric Siegel – PAW keynote: Optimize Marketing Influence by Predicting It
  • Anthony Goldbloom – TAW: Competitions for Advanced Text Analytics – and PAW: Competitions and the $3 Million Health Prize
  • Indiana U.’s Johan Bollen – Joint PAW/TAW session: Predicting the Stock Market with Twitter
  • LinkedIn’s Manu Sharma – PAW: Data Science at LinkedIn
  • Google’s Kuzman Ganchev – TAW: Rich Prior Knowledge in Learning for Text Analysis
  • Accident Fund’s Zubair Shams – TAW: Text Analytics to Segment Workers’ Comp Injuries
  • IBM’s Colin Shearer – Joint PAW/TAW session: The Analytical Revolution
  • SAS’ John Sall – PAW: Speeding Up Exploration

… and many more – see the PAW agenda overview and TAW agenda overview.

Read more about PAW:

The FAQs on PAW & TAW NYC
PAW London Keynotes & Case Studies – Nov 30-Dec 1 in London
PAW/TAW 2012 SF Call-for-Speakers – March 2012 in SF
Reasons to Attend Predictive Analytics World – View video now
Download the PAW NYC Conference Preview Guide

Already registered but haven’t booked your room?
Hotel rooms are selling out, secure your hotel room prior to September 16th to receive the group rate. Book your room online or by calling 212-586-7000 and referencing Data Driven Business Week.

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Register Now!

EricSiegel September 15, 2011
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