Prediction Markets Summit

prediction markets

Collective Intelligence Cluster and Prediction Markets Summit  6 Nov 2009 in Minneapolis, Minnesota, USA

 

San Francisco, CA (PRWeb) Monday, June 1, 2009 -- The Prediction Market Clusters in collaboration with, Aurora WDC, Consensus Point, and many others announces the Collective Intelligence Cluster and Prediction Markets Summit 6 Nov 2009 in Chicago, Illinois , USA.

 

 

http://www.pmcluster.com/CHI09.htm

 

Learn how collective intelligence networks are fundamentally altering the enterprise landscape, driving executive decision making, leading collaborative forecasting and optimizing supply chain management. Engage with experts in knowledge markets that are reshaping all practices of knowledge management (KM) and propelling enterprise knowledge ecologies of the future.


There is not much that any of us do that is more important than telling the company what we know.Jeff Severts, EVP, Best Buy


We are thrilled special several key scholars and thought leaders will join your cluster including:


Robin Hanson, Professor, Economist, Polymath, George Mason University
George Neumann, George Daly Professor of Economics, University of Iowa


In 2004 James Surowiecki published his now-famous book, “The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations.” For many this milestone introduced the era of collective intelligence for people, business, institutions, the environment and civil society.

New ways to share, trade and aggregate information using Internet-based markets are exploding. These powerful Web 2.0 network knowledge markets help companies, schools, governments and individuals to acquire and master ever-growing bodies of knowledge. These prediction market capabilities achieve mastery knowledge management (KM) and collective intelligence with stunning speed, efficiency and accuracy.

Prediction markets are brutally honest and uncannily accurate.” - Geoffrey Colvin, Fortune Magazine

New collaborative market mechanisms and social innovations are driving collective intelligence networks. They resolve questions of science, technology, management, strategy, planning and policy far better than experts or management.

Collective intelligence inhabits the ceaseless flurry of self-correcting social exchanges, value networks and collective knowledge markets. They cover everything from politics and business plans to sports and new product features. Enormously potent, these social networks and markets generate new ideas and amass and refine knowledge and collective wisdom with blinding speed, low cost and accuracy.

As predicted, collective intelligence networks and knowledge markets have become commonplace in the enterprise. Top firms using prediction markets are Best Buy, Google, Microsoft, Eli Lilly, Abbott Laboratories and  Yahoo! to name a few. Major analysts firms declare prediction markets critical to Enterprise 2.0 information and knowledge management portfolios.

A company that can predict the future is a company that is going to win.” - Bernardo Huberman, PhD, Senior HP Fellow, HP Labs


Cluster sessions are focused, practical and conversational. They are for executives, directors, mangers, users and practitioners having immediate needs to apply collective intelligence networks and market mechanisms to advance enterprise business outcomes through mastery of collective wisdom.


Pricing and Availability

Registration for the Collective Intelligence Cluster is open and available now. All are welcome. The event participant tuition, full-day experience, meals, refreshments, books, reception and materials is $399.00 Secure online event check-in and registration in advance required.

Collective Intelligence Cluster Sponsors

Sponsors of the Collective Intelligence Cluster are the world's leading producers of prediction market software, services, exchanges and expertise. They supply continuous innovation in prediction markets and collective intelligence networks. Among these leaders are:


Aurora WDC: http://www.aurorawdc.com/
ConsensusPoint: http://consensuspoint.com/
Mercury-RAC: http://blog.mercury-rac.com/
PM Cluster: http://pmcluster.com/

About Consensus Point, LLC

Consensus Point, a Nashville-based company, is the leading provider of enterprise prediction markets serving corporations and government. With over 15 years of experience providing enterprise prediction markets, Consensus Point offers a comprehensive collective intelligence solution, including Software as a Service (SaaS) with on-demand or on-site licenses and consulting services.  The company helps their clients reduce the risk of uncertainty, improve revenue through accurate forecasts of products and services, and manage projects with immediate insight into future completion dates and budgets. For more information, please visit  http://consensuspoint.com/


About the Prediction Market Clusters

The Prediction Market Clusters, founded in 2004, are the global industry commons and open community for prediction markets and collective intelligence networks worldwide. The open, agnostic network is a focused collaboration of vendors, academia, traders, users, developers, markets, regulators and stakeholders. The goal is to provide awareness, diffusion, adoption and pull-through for enterprise, institutional and consumer prediction markets. The Prediction Markets Cluster is the worldwide Next Practices network for collective intelligence networks practices, tools and theories. For more information, please visit 
http://www.pmcluster.com/CHI09.htm

Please contact:

Jennifer Hulett, Events

jennifer.hulett@pmclusters.com


http://www.pmcluster.com/

Tel:  714-458-3826
Fax:
714-572-3742


 

What did you think of this article?




Trackbacks
  • No trackbacks exist for this post.
Comments
  • No comments exist for this post.
Leave a comment

Submitted comments are subject to moderation before being displayed.

 Enter the above security code (required)

 Name

 Email (will not be published)

 Website

Your comment is 0 characters limited to 3000 characters.