Competitive Pattern Discovery Without Needing to Type a Search

A Wall Street Journal interview of a leading search engine CEO featured the idea that he thought search was heading in the direction of searching without needing to type. ((Google and the Search for the Future, August 14, 2010) Furthermore, he stated that he thought most people did not want his company to answer their questions, rather they wanted his company to tell them what they should be doing next.

In the parlance of News Patterns, we call this intelligence process Discovery. News Patterns has spent the better part of the last decade developing and implementing advanced discovery technologies aimed at distilling competitive patterns out of seemingly random and overwhelming news signals without needing our clients to know the right questions to ask. We focused on competitive patterns because these patterns are about survival, or the ability to thrive based on early recognition of threats or opportunities.

  • Users submit their news to our networks or we automatically collect it as a continuous process.
  • Sophisticated patterning algorithms continually seek emerging news topic trends and new connections that are often indicative of potential threats or opportunities.
  • Context, urgencies, relevant news and patterns are discovered.
  • The primary output is our True News Alert that simulates the natural information uptake process of urgency then context then the details (as in actual articles.)
  • Output alerts can be integrated email briefings or reports that contain machine generated content as well as options for human analysis.
  • Other outputs from patterning algorithms are News Radars that graphically display news and patterns that trigger natural brain perception powers.
  • Our brains and eyes can perceive and process patterns at the very fast rate of 10,000,000 bits per second, far faster than reading alone at the rate of 240 words per minute or 200 bits per second.
  • News Radars extend and accelerate the discovery process of competitive patterns and their associated news articles that need to be read.