Comments on: Intelligence Amplification

By: Ping Liang

Ping Liang — Wed, 06 Dec 2006 23:02:04 +0000

Intelligence Amplification is a very good term to describe what we do at http://www.wizag.com.
We use machine intelligence (semantic processing, learning user interests) and human intelligence (what users do with the contents collectively and individually) to discover and amplify Hot Topics out of hundreds of thousands of news and blog posts. The objective is to bring to a user’s attention emerging topics that the user wants to pay attention to.
We do this for individual users and for groups. The group version is like an AI-enhanced and private version of Digg for groups, which can be private or public. In a Wizag group, users not only have editorial power, but can also manage the membership and have a reputation system , and are supported by Intelligence Amplification functions.

By: Chris Saad

Chris Saad — Mon, 04 Dec 2006 21:19:59 +0000

Ryan I love the post and the comment by Tom is right on the money. With the growing level of well indexed, rated and collaboratively filtered content the next level is aggregation that can add Intelligence Amplification. I am working on just such a product. I have recently posted about the 'Aggregation is King' article here http://www.touchstonelive.com/blog/2006/11/aggregation-is-king.html And the need for ranking/amplification/variation in noise here: http://www.touchstonelive.com/blog/2006/12/filtering-is-so-5-years-ago.html I'd love to hear feedback from both of you! Oh and Here's a trackback: http://www.touchstonelive.com/blog/2006/12/intelligence-amplification.html

By: Tom Higley

Tom Higley — Sat, 02 Dec 2006 17:22:16 +0000

What a great post! Do you suppose there’s a way to persuade Washington that “intelligence amplification” is the next big thing?
On a more serious note, Spencer Wang’s report for Bear Stearns – “The Long Tail: Why Aggregation and Context and Not (Necessarily) Content are King in Entertainment” cries out for a tool for “intelligence amplification,” though his operation definition is “filters required to connect users with content that appeal to their interests.” Same thing.
Loved the reference to Spinal Tap.