Archive for July, 2011

July 28th 2011

Congressman Darrell Issa to Keynote at PAW-Gov – September 12-13 – The Reagan Building

Congressman Darrell Issa, R-California and Chairman of the House Committee on Oversight and Government Reform has joined the powerful line-up of keynotes and featured speakers at Predictive Analytics World for Government with his keynote: Fighting Waste, Fraud and Abuse with DATA" 

 

Darrell Issa

Congressman Darrell Issa
Chairman 
House Committee on Oversight 
and Government Reform

Congressman Issa, a long-time advocate for open government, introduced the Digital Accountability and Transparency Act or (DATA) which established an independent body to track federal spending, including grants, contracts, loans and agencies' internal expenses, on a single electronic platform, using consistent reporting standards and data identifiers, and making all of the information available to the public.

In addition to Congressman Issa, Predictive Analytics World for Governmentoffers a powerful line-up of top government experts including:

Keynote Speaker:
John F. Elder

John F. Elder
CEO and Chief Scientist 
Elder Research

Keynote Speaker:
Earl Devaney

Earl Devaney
Chairman and 
Recovery Accountability
and Transparency Board

Featured Speaker:
David Williams

David Williams
Inspector General 
USPS OIG

PAW-GOV's full program features case studies so you can witness how predictive analytics is applied by: Department of Justice (DOJ), IRS, USDA Risk Management Agency (USDA RMA), USDA Food Safety and Inspection Service (USDA FSIS), USPS Office of Inspector General (USPS OIG), Department of Homeland Security (DHS), Social Security Administration (SSA), Department of Defense (DOD), National Security Agency (NSA), NASA, Defense Finance and Accounting Service (DFAS), Texas Comptroller of Public Accounts, Mexico Tax Administration Service, New South Wales Department of Transportation.

PAW-GOV is a must for government executives, program managers, financial and HR managers, CIOs and CTOs, law enforcement, and analytics professionals. Register by August 12th and realize $100 in savings.

 

Register Now!

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July 27th 2011

Download the Conference Preview for Text Analytics World New York City

 

Download the Conference Preview for Text Analytics World New York City

2 Days of Content and over 25 sessions

With over 25 case study sessions across 2 days, Text Analytics World is the industry's must-attend event for text analytics professionals – October 19-20, 2011 at the Hilton New York in New York City.

Download the conference preview for an in-depth look at TAW's all-star speaker line up and array of case studies. Text Analytics World will be co-located alongside Predictive Analytics World, as a part of Data Driven Business Week, providing cross-registration options for access to a wide scope of leading analytical coverage and case studies.

Here's a sneak peak at some of the speakers featured at TAW NYC:

Keynote: Multiple Case Studies: U.S. DoD, U.S. DHS, SSA- Text Mining: Lessons Learned
John F. Elder IV John F. Elder IV
Ph.D., Chief Scientist, 
Elder Research, Inc.

PayPal Identifying Customers Who Expressed Intend-to-Churn or Defect from Large Number of Surveyed Verbatim
Han Sheong Lai Han Sheong Lai
Director of Operational Excellence & VOC,
PayPal

Fighting Fraud with Text Mining at MetLife Auto & Home
David McMichael David McMichael
Assistant Vice President,
MetLife Auto & Home

Citibank Analyzing and Scoring Customer Problem Descriptions through Multi-focal Learning
Ramendra Sahoo Ramendra Sahoo 
Director & Senior Vice President of Analytics,
Citibank
Hui Xiong Hui Xiong
Associate Professor,
Rutgers Business School

intuit Babies on Elephants: Hadoop and Text Analytics
Saikat Mukherjee Saikat Mukherjee
Ph.D., Senior Data Scientist,
Intuit Inc.

bundle New Insights from "Big Legacy Data": The Role of Text Analytics at Bundle.com
Alexander Hasha Alexander Hasha
Lead Data Scientist,
Bundle.com
Jaime Fitzgerald Jaime Fitzgerald
Founder & President,Fitzgerald Analytics

Mitchell1
Snap-on
Creating a $1 Million Data Source from Free Text
Michael Pooley Michael Pooley
President & General Manager,
Mitchell1

New Workshop: Hands-On Introduction to Text Analytics with IBM SPSS – Friday October 21st

TAW attendees will have the opportunity to hear first-hand how their peers and industry experts employ text analytics and what kind of business impact it delivers across a variety of industries – including automobile, educational, e-commerce, financial services, government, high technology, insurance, retail, social media, and telecom.

View Text Analytics World NYC Agenda and Session Details

Register Now and realize $200 in savings. Additional savings of $200 on the two-day conference pass when you register a colleague at the same time.

Register Now!

TAW preview Guide

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July 26th 2011

Leading Companies to Share Case Studies at PAW NYC October 16-21

 

Predictive Analytics World NYC Highlights

Download the conference preview guide for an 
in-depth look at the PAW's all-star speaker line up and array of case studies.

With over 40 case study sessions across 3 tracks, Predictive Analytics World is the industry's must-attend event for analytics professionals – October 16-21, 2011 at the Hilton New York in New York City.

9 full-day workshops: intro, methods, hands-on, text, & more

Here's a sneak peak at some of the case studies featured at PAW NYC:


Paypal

Putting Predictive Analytics into Context: The Analytics Value Chain

Piyanka Jain Piyanka Jain
Head of NA Business Analytics, 
PayPal
Puneet Sharma Puneet Sharma
Senior Manager
PayPal

Linked In Data Science at LinkedIn: Iterative, Big Data Analytics and You
Piyanka Jain Manu Sharma
Principal Research Scientist, 
LinkedIn

Blue Cross Blue Shield They Keep Coming Back-Predicting Hospital Readmissions
Fred Grunwald Fred Grunwald
Vice President of Analytics
New Directions Behavioral Health 

Citibank Predictive Analytics in Customer Digital Payments
Ramendra Sahoo Ramendra Sahoo 
Senior Vice President of Analytics
Citibank

GE Capital

Using Segmentation and Predictive Analytics to Reduce Customer Attrition

David Liebskind David Liebskind
Retail Analytics Leader
GE Capital

Match.com

Search and Social: Intelligent Matching at Match.com

Amarnath Thombre Amarnath Thombre
Vice President of Strategy & Analytics
Match.com

Fidelity Investments

True-Lift Modeling: Mining for the Most Truly Responsive Customers & Prospects

Jane Zheng Jane Zheng
Principal Decision Scientist
Fidelity

Case Studies-  Predictive Analytics World focuses on concrete examples of deployed predictive analytics. Hear from the horse's mouth precisely how Fortune 500 analytics competitors and other top practitioners deploy predictive modeling, and what kind of business impact it delivers. Click here to view the agenda at-a-glance orDownload the PAW Conference Preview Guide

Register Now and realize $200 in savings. Additional savings of $200 on the two-day conference pass when you register a colleague at the same time.

Register Now!

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July 14th 2011

Nine Analytics Workshops at PAW NYC – 6 Days of Content

 

Nine Analytics Workshops in NYC

Predictive Analytics World NYC announces full day workshops – October 16-21 – amounting to six consecutive days of content. These workshops deliver top notch analytical and business expertise across the hottest topics.

Register now for one or more workshops, offered just before and after PAW's conference program (October 16-21):

Sunday, October 16 Monday, October 17
R Bootcamp: 
For Newcomers to R

Half-day: 1:00pm – 5:00pm
R for Predictive Modeling:
A Hands-On Introduction

Full-day: 9:00am – 4:30pm
Launch your tenure as a hands-on user of R, the well-known open-source platform for data analysis.
Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages.
Max Kuhn Max Kuhn
Director, Nonclinical Statistics
Pfizer
Max Kuhn Max Kuhn
Director, Nonclinical Statistics
Pfizer
Full Details Full Details
Monday, October 17 Tuesday, October 18
Predictive Analytics:
Fundamentals and Use Cases

Full-day: 9:00am – 4:30pm
Hands-On Business Analytics:
Insights to Impact

Full-day: 9:00am – 4:30pm
Prepares newcomers to attend PAW's 2-day conference program by revealing the power of predictive analytics through use cases.
Establishing objectives for business analytics, executing on core analysis, deriving insights and making an impact.
Piyanka Jain Piyanka Jain
Senior Manager
PayPal
Piyanka Jain Piyanka Jain
Senior Manager
PayPal
Puneet Sharma Puneet Sharma
Senior Manager
PayPal
Puneet Sharma Puneet Sharma
Senior Manager
PayPal
Full Details Full Details
Tuesday, October 18 Tuesday, October 18
Hands-On Predictive Analytics 
with SAS Enterprise Miner

Full-day: 9:00am – 4:30pm
Driving Enterprise Decisions
with Business Analytics

Full-day: 9:00am – 4:30pm
Gain experience driving an industry-leading tool, applying the industry standard data mining process.
The principles of Decision Management, its application to critical business processes, and the appropriate use of available technology.
Dean Abbott Dean Abbott
President
Abbott Analytics
Sponsored By:
James Taylor James Taylor
CEO
Decision Management Solutions
Full Details
Friday, October 21 Friday, October 21
The Best and the Worst of
Predictive Analytics

Full-day: 9:00am – 4:30pm
Deploying User-Friendly
Predictive Analytics

Full-day: 9:00am – 4:30pm
The key inner workings of leading algorithms, case studies demonstrating their performance and comparison of merits.
Gain hands-on experience building user-friendly predictive applications that quickly operationalize models developed in R.
John Elder John Elder, Ph.D.
CEO and Founder
Elder Research
Jeff Mergler Jeff Mergler
Lead Stat. App. Trainer
TIBCO Spotfire
Sponsored By:
Full Details
Friday, October 21
Hands-On Introduction to
Text Analytics with IBM SPSS

Full-day: 9:00am – 4:30pm
Gain true hands-on experience with text analytics using industry-leading software; enhance data mining models with unstructured data.
Tim Daciuk Tim Daciuk
Business Dev. Mnger.,
Advanced Analytics, IBM
Sponsored by
Full Details

Register Now!

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July 12th 2011

Predicting the Stock Market from Twitter Feeds

 

Joint Sessions at PAW and TAW

Announcing four joint text/predictive sessions available to both Predictive Analytics World and Text Analytics World attendees, October 19-20 in NYC.

Featured Session:
Social Media Analysis for Market Prediction

Johan Bollen
Johan Bollen
Associate Professor
Indiana University

In this session you will learn how Professor Bollen's team has analyzed
large – scale Twitter data to yield accurate measurements of the public's mood state which in turn have been shown to contain predictive information with regards to the Dow Jones Industrial Average. In addition you will learn how the team performed an analysis of longitudinal changes in individual user sentiment over hundreds of thousands of Twitter users to study the effects of social networking relations to evolving user mood states.

Click here for a complete, detailed session description


Here are three other joint sessions shared between Text Analytics World and Predictive Analytics World, New York City, Oct 19-20:

Thomas Davenport

KeynoteEvery Day Analytics: Making Leading Edge Commonplace

Thomas Davenport
President's Distinguished Prof, Babson College
Author, Competing on Analytics

David A. Ferrucci

KeynoteBuilding Watson – An Overview of the DeepQA Project

David A. Ferrucci
IBM Fellow & Watson Principal Investigator
IBM Research

Han Sheong Lai

SessionIdentifying Customers Who Expressed Intend-to-Churn or Defect from Large Number of Surveyed Verbatim

Han Sheong Lai
Director of Operational Excellence & VOC
PayPal


View Text Analytics World NYC Agenda and Session Details

And that's just the tip of the iceberg – check out all these other TAW topics, case studies and speakers:

  • Topics such as churn risk detection, customer service and call centers, decision support, document discovery, document filtering, financial indicators from social media, fraud detection, government applications, insurance applications, knowledge discovery, open question-answering, parallelized text analysis, risk profiling, sentiment analysis, social media applications, survey analysis, topic discovery, and voice of the customer.
  • Case studies from Accident Fund, Amdocs, Bundle, Citibank, FL State College, Google, Intuit,  MetLife, Mitchell1 (auto repair s/w), PayPal, Snap-on (tool mfg), Socialmediatoday.com, A Fortune 500 global technology company, plus special examples from U.S. government agencies DoD, DHS, SSA
  • Experts and practitioners such as Dean Abbott, President, Abbott Analytics, Breck Baldwin, President, LingPipe, John Elder, Ph. D., Chief Scientist, Elder Research, Inc., Andrew Fast, Senior Scientist & Director of Research, Elder Research, Inc., Jaime Fitzgerald, Founder & President, Fitzgerald Analytics, Alexander Hasha, Lead Data Scientist, Bundle.com, Piyanka Jain, Head of NA Business Analytics, PayPal, Themos Kalafatis, Independent Consultant, Max Kuhn, Director, Nonclinical Statistics, Pfizer, David McMichael, Assistant Vice President, MetLife Auto & Home, Jeff Mergler, Lead Statistical Applications Trainer, TIBCO Spotfire, Greg Michalski, Director of Student Analytics & Research, Florida State College at Jacksonville, Saikat Mukherjee, Ph.D., Senior Data Scientist, Intuit Inc., Nick Patience, Research Director of Information Management,The 451 Group, Michael Pooley, President & General Manager,Mitchell1, Tom Reamy, Chief Knowledge Architect, KAPS Group, Ramendra Sahoo, Director & Senior Vice President of Analytics,Citibank, Zubair Shams, Director of Product Development, Accident Fund Insurance Company of America, Puneet Sharma, Senior Manager, PayPal, James Taylor, CEO, Decision Management Solutions, Hui Xiong, Associate Professor, Rutgers Business School, Dezhi Yin, Ph.D. Candidate, Georgia Tech Business School

Register Now!

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July 6th 2011

New 2nd PAW London Track; Super Early Price Ends Next Week

 

Predictive Analytics World London – Second conference track added; register by 15th July to make big savings

With the growing importance of predictive analytics across so many industries, Predictive Analytics World London, 30th November to 1st December, has added a second track on Wednesday afternoon in order to provide even more relevant case studies from a wider range of industries.

See the online agenda at a glance here

Register by 15th July to make savings of up to £400 on the price of a two day pass with the super early bird pricing. With the addition of the second track it is now literally impossible for one person to take in all the content on offer so bring along a colleague and combine the super early bird price with the "Bring the team" offer, saving you an additional £100 on the price of every additional team member registered.

Hot topics and advanced methods via case studies

PAW focuses on concrete examples of deployed predictive analytics. Hear precisely how large companies and organisations deploy predictive modeling from the very people who were involved in the projects. See a list of case studies and hot topics below:

Bank of America (social data; financial services)
Barclays (financial services)
BBC (social data; text analytics)
The Economist (customer insights)
ENERGEX (demand forecasting)
GlaxoSmithKline (pharmaceutical)
Hewlett Packard (human resource retention)
ING Belgium (special featured session)
JustGiving (nonprofit fundraising)
Lloyds TSB General Insurance (uplift modelling)
Netto Bank (customer insights)
OTTO Group (demand forecasting)
Paychex (customer retention with churn modelling)
The Royal Bank of Scotland (financial services)
United Group Holdings (supply chain management)
US Bank (uplift modelling)
Yahoo! (online ad optimisation)
Plus special examples from U.S. government agencies DoD, DHS, SSA (text mining)

Network with 2000 decision makers

Running for the first time in the UK as part of Data Driven Business Week, Predictive Analytics World London will be one of three conferences (Predictive Analytics World, eMetrics Marketing Optimization Summit and Conversion Conference) all designed to empower business to strategise and optimise using data analytics. The event is also being co-located with ECMOD, Europe's largest and most influential forum for catalogue, home shopping and multi-channel businesses, now running in its 21st year. Based on past attendances the total audience for DDBW and ECMOD will be over 2000, providing excellent networking opportunities for all attendees.

Register Now

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July 6th 2011

PAW Government: Agenda and Speakers Announced – Sept 12-13

 

Prominent Speakers Anounced for Predictive Analytics World for Government

Agenda Now Available

 

Keynote Speaker:

Earl Devany

Earl Devaney
Chairman 
Recovery Accountability
and Transparency Board

 

Featured Speaker:

David Williams

David Williams
Inspector General
USPS OIG

2 days of content, more than 18 topics delivered by over 25 predictive analytics experts, practitioners, authors, and government thought leaders

Predictive Analytics World for Government, September 12-13 in Washington, DC, is the first vendor-neutral predictive analytics conference for the government, designed to help agency managers understand how they can apply predictive analytics to more effectively and efficiently accomplish their mission.

Agenda Now Available

Highlights include:

  • Case studies from Federal, State, and Local agencies such asDepartment of Justice, USDA Risk Management Agency, USDA Food Safety and Inspection Service, U.S. Postal Service Office of Inspector General, Department of Treasury, Department of Defense, National Security Agency, New South Wales Department of Transportation, Mexico Tax Administration Service, NASA, and Defense Finance and Accounting Service.
  • Hot topics and advanced methods covering fraud detection and prevention, text mining, law enforcement, food safety, grants management, hotspot detection, optimization of facilities, ensemble models, supervised/unsupervised predictive modeling, crowdsourcing, and other innovative applications that benefit organizations in new and creative ways.
  • Featuring leading government predictive analytics practitioners including:

           

    Bryan Jones 

    Bryan Jones
    Director, 
    Data Mining Group, USPS OIG     

    Kirk Bryant 

    Kirk Bryant
     Acting Director, Strategic Data Acquisition and Analysis, USDA Risk Management Agency     

    David Buchanan 

    David Buchanan
    Deputy Director of Management Services
    U.S. Department of Justice, COPS Office

     

    Stephen Hollifield 

    Stephen HollifieldInformation Services Manager, Richmond Police Department

    About Predictive Analytics World for Government:

    Predictive analytics reduces fraud, waste, and abuse, automates manual processes, maximizes productivity of agency personnel, and drives smarter decisions by extracting actionable insights from the vast quantities of data within government agencies. 

    Predictive Analytics World for Government is for government executives, program managers, financial and HR managers, CIOs and CTOs, law enforcement, and analytics professionals, covering today's deployment of predictive analytics and data mining across government agencies and across software vendors. The conference delivers case studies, expertise and resources, empowering Federal, State, and Local government to achieve these objectives:

    1. Drive Smarter Decisions from Data
    2. Reduce Fraud, Waste, and Abuse
    3. Automate Manual Processes
    4. Prioritize Resources and Maximize Productivity
    5. Detect Threats and Increase Security

     

    Register Now!



    For more information:
    www.pawgov.com

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