Archive for February, 2011

February 24th 2011

The $3 million Heritage Health Prize: New Announcements at PAW

 

An exclusive announcement detailing contest structure is coming to Predictive Analytics World – March 14-15 in San Francisco – from the producers of the forthcoming Heritage Health Prize data mining competition.

Data competitions come of age: from movie recommendations to life and death. Possibly the biggest news in predictive modeling in 2011 is Heritage Provider Network's $3 million predictive modeling prize – the biggest data mining competition ever. It requires data scientists to build algorithms that predict who will go to hospital in the next year, so that preventive action can be taken. We will take this opportunity to release new information on contest's timeline and intermediate progress prizes.

Speaker: Robert O'Keefe, Corporate Senior VP, Heritage Provider Network

Read more about PAW San Francisco here

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February 22nd 2011

Social data sessions at PAW, March 14-15

 

Social Data Featured at Predictive Analytics World

How do enterprises transform customer interactions into business value?

What are the most powerful methods to leverage social data with predictive analytics?

PAW San Francisco, March 14-15, provides in-depth sessions, case studies and expertise that offer the latest insight into social data analytics, including 7 sessions on this hot topic:

Andreas S. Weigend, Ph.D., weigend.com

The State of the Social Data Revolution

Andreas S. Weigend, Ph.D., weigend.com, Former Chief Scientist, Amazon.com

Aaron Lai, Former VP and Senior Quantitative Research Associate, Bank of America

Case Study: Bank of America – How do Peers Evaluate Peer-to-Peer Lending?

Aaron Lai, Former VP and Senior Quantitative Research Associate, Bank of America

Tim Lopez, Vice President, Engineering, Gaia Interactive

The Hefty Toll of Fraud: How to Leverage Predictive Analytics and Social Network Analysis

John C. Brocklebank, Ph.D., VP, SAS

Advanced Methods Session – Social (Media) Network Analysis with NodeXL

Marc Smith, Ph.D., Chief Social Scientist, Connected Action

Case Study: ICICI Bank (India) – Leveraging Customer Network

Neha Swetambari, Manager, Business Intelligence Unit, ICICI Bank

Case Study: Major North American Telecom – Social Networking Data for Churn Analysis

David Katz, Senior Analyst, Dataspora, and President, David Katz Consulting

Case Study in Social Gaming: Gaia Interactive – Decoding Customer Attention and Retention Behavior Using Predictive Analytics

Tim Lopez, Vice President, Engineering, Gaia Interactive

Predictive Analytics World features over 40 sessions across 2 tracks covering hot topics and advanced methods such as uplift modeling (net lift),ensemble modelssocial data (7 sessions), search marketing,crowdsourcingblackbox tradingfraud detectionrisk managementsurvey analysis, and other innovative applications that benefit organizations in new and creative ways.

Download the PAW Conference Preview Guide or view the Predictive Analytics World Agenda

Register now for $200 off the full price.

Realize an additional savings of $200 on the two-day conference pass when you register a colleague at the same time.

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February 14th 2011

Under 4 Weeks Until PAW – Hotel is Selling Out – March 14-15, San Francisco

PAW San Francisco Less Than Four Weeks Away

Register now to take advantage of $200 savings

Hotel rooms are selling out and this is the last week to reserve rooms at the discounted rate.

Golden Gate Bridge and Marriot Marquis Hotel

Keynotes from world-famous analytics researcher and author, Thomas Davenport and Google's Sugato Basu.

Special sessions from industry heavy-weights such as Andreas Weigendand John Elder.

Full day workshops: DecisioningMethodsNet LiftHands-On Intro,Hands-On R amounting to seven days of content.

Over 40 sessions across 2 tracks including case studies from Bank of AmericaBank of the WestFidelityGoogleMonster.comOrbitz,PayPal/eBay and many more, plus insights from projects for Anheuser-Busch, the Social Security Administration and Netflix.

Thomas Davenport
Thomas Davenport
President's Distinguished Professor
Babson College
Sugato Basu
Sugato Basu
Senior Research Scientist
Google
John F. Elder
John F. Elder
CEO and Founder
Elder Research
Eric Siegel
Eric Siegel
Conference Program Chair
Predictive Analytics World

Predictive Analytics World is part of Data Driven Business Week – March 14-15, 2011 – and will be featured as one of three co-located conferences designed to empower your business to strategize, analyze and optimize with data analytics.

PAW's agenda covers hot topics and advanced methods such as uplift modeling (net lift), ensemble models, social data (7 sessions), search marketing, crowdsourcing, blackbox trading, fraud detection, risk management, survey analysis, and other innovative applications that benefit organizations in new and creative ways.

There’s only one week left to reserve the special hotel rate – book your room at the San Francisco Marriott before February 21st. To make a reservation, call 1-800-266-9432 or reserve online.

Download the PAW Conference Preview Guide or view the Predictive Analytics World Agenda

Register now for $200 off the full price.

Realize an additional savings of $200 on the two-day conference pass when you register a colleague at the same time.

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February 8th 2011

PAW sessions in financial services, fraud and insurance – March in San Francisco

 

PAW Sessions: Financial, Fraud and Insurance

PAW San Francisco, March 14-15, demonstrates best practices in the application of predictive analytics across industry verticals. For example, check out these conference sessions in financial services, fraud management, insurance and risk:

Aaron Lai, Bank of America

Aaron from Bank of America:

How do Peers Evaluate Peer-to-Peer Lending?

Joel Kleinman, Bank of the West

Joel from Bank of the West:

Effectively Incorporating Internet Data in Customer Value Models

Michael Murff, Paypal

Michael from PayPal — on fraud detection:

Bagging Trees for Online Analytic Scoring Engine

Piyanka Jain, PayPal

Piyanka from PayPal:

Putting Predictive Analytics into Context: The Analytics Value Chain

Kathleen Kane, Fidelity Investments

Kathleen and Jane from Fidelity:

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

Jane Zheng, Fidelity Investments  
David Andre, Ph.D.

David from Cerebellum Capital:

Black Box Trading: Analytics in the Land of the Vampire Squid

Neha Swetambari, ICIC Bank (India)

Neha from ICIC Bank (India):

Leveraging Customer Network

Antonia de Medinaceli, Elder Research

Antonia from Elder Research:

Fighting the Good Fraud Fight — USPS Office of Inspector General

Eric Siegel, Ph.D., conference chair of Predictive Analytics World

Eric, conference chair of Predictive Analytics World:

Five Ways Predictive Analytics Cuts Enterprise Risk

James Taylor, Decision Management Solutions

James from Decision Management Solutions:

Deploying Analytics with a Rules-Based Infrastructure — Fiserv and Varolii

John C. Brocklebank, Ph.D., SAS Solutions OnDemand

John from SAS Solutions OnDemand:

The Hefty Toll of Fraud: How to Leverage Predictive Analytics and Social Network Analysis

Predictive Analytics World features over 40 sessions across 2 tracks covering hot topics and advanced methods such as uplift modeling (net lift), ensemble models, social data (6 sessions), search marketing, crowdsourcing, blackbox trading, fraud detection, risk management, survey analysis, and other innovative applications that benefit organizations in new and creative ways.

Download the PAW Conference Preview Guide or view the Predictive Analytics World Agenda

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February 1st 2011

PAW Session this March from Astro Teller, Ph.D. of Google

 

Predictive Analytics World, March 14-15 in San Francisco, includes the following talk, amongst over 40 rich sessions, from Astro Teller, Ph.D., Director of New Projects, Google.

"Making Technologies Intelligent: Data, Patterns, Access, and Architecture"

Using examples from his past companies and projects, Astro will give a tour through four key elements required to make products and services more intelligently automated. The talk will cover each of these four elements (data, patterns, access, and architecture), how each functions separately and how they function together to allow for automated products and services to be more intelligent and for them to be constantly improving in the automated intelligence they offer their users. The talk will also touch on feedback from users and user-interfaces for that feedback and how this plays into the intelligent technology ecosystem and lifecycle.

Biography:

As a respected scientist and seasoned entrepreneur, Dr. Teller has successfully created and grown five companies and holds numerous U.S. patents related to his work in hardware and software technology. Dr. Teller's work in science, literature, art, and business has appeared in international media from the New York Times to CNN to NPR's "All Things Considered." Teller regularly gives invited talks for national and international technology, government, and business forums on the subject of the future of intelligent technology.  For a more detailed bio, see http://www.predictiveanalyticsworld.com/sanfrancisco/2011/speakers.php#teller

More information about PAW San Francisco

View PAW's agenda at-a-glance

Download the detailed PDF preview

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