Autonomy Corporation

[CrackSmokeRepublican]

Autonomy Corporation


Autonomy Corporation PLC (LSE: AU.) is an enterprise software company with joint head quarters in Cambridge, United Kingdom, and San Francisco, USA. The company uses a combination of technologies born out of research at the University of Cambridge. It develops a variety of enterprise search and knowledge management applications using adaptive pattern recognition techniques centered on Bayesian inference in conjunction with traditional methods. In March 2009, it acquired the enterprise content management firm Interwoven, now Autonomy Interwoven and Autonomy iManage.

It is currently listed on the London Stock Exchange and is a constituent of the FTSE 100 Index.[2]


History

Autonomy was founded in Cambridge, England by Dr Michael Lynch and Richard Gaunt in 1996 as a spin-off from Cambridge Neurodynamics.[3]

Autonomy floated in 1998 on the Easdaq exchange at a share price of approximately 30p. At the height of the "dot com bubble", the peak share price was £30.[4]

In December 2005 Autonomy acquired Verity, Inc., one of its main competitors, for approximately $500m.[5]

In May 2007 after exercising an option to buy a stake of technology start up, Blinkx Inc, and combining it with its consumer division, Autonomy floated Blinkx on a valuation of $250m.[6]

In July 2007 it acquired Zantaz, an email archiving and litigation support company, for $375M.[7]

In January 2009, it acquired Interwoven, a niche provider of enterprise content management software, for $775m.[8]

 Products

Autonomy is a proponent in what it calls "Meaning-Based Computing" (MBC). The main technology is called Intelligent Data Operating Layer (IDOL), and is to unstructured information what a Relational Database Management System (RDBMS) is to structured information. IDOL allows search and processing of text, audio, video, and structured information. The processing of such information by IDOL is referred to by Autonomy as Meaning-Based Computing.[9]

Autonomy's technology attempts to understand any form of unstructured information, whether text, voice, or video, and based on that understanding perform automatic operations on the information.

Customers

Autonomy also has over 400 OEM partners and more than 400 vendors and integrators, numbering among them are companies such as Citrix, EDS, Novell and Symantec. [10]
[edit] Offices

Autonomy has major offices in the US, the UK, Canada, France, Japan, Australia, Singapore, Germany and smaller offices throughout Europe and Latin America.
[edit] Senior management

The Company's Board includes:

    * Dr Michael Richard Lynch
    * Richard Gaunt
    * Sushovan Hussain
    * Barry Ariko
    * John McMonigall
   * Richard Perle

http://en.wikipedia.org/wiki/Autonomy_Corporation


    * In 1998, Apax invested in Neurodynamics Limited, which was the parent of Autonomy Corporation. Apax's investment in Autonomy created one of the largest returns in European Venture Capital history with the conversion of around a $3M investment into $900M.

Neurodynamics' solutions now available from Norbain.
0 Comments | M2 Presswire, July, 2004

M2 PRESSWIRE-13 July 2004-Norbain SD Limited: Neurodynamics' solutions now available from Norbain(C)1994-2004 M2 COMMUNICATIONS LTD RDATE:07132004 Norbain SD, Europe's largest distributor of electronic security solutions, has signed an exclusive UK distributor agreement with Neurodynamics Limited, the Cambridge-based world leader in the development of advanced recognition systems based on neural technology.

The agreement specifically covers Neurodynamics Automatic Number Plate Recognition System (ANPR) and iSAS, the Intelligent Scene Analysis System that, in conjunction with a CCTV system, can be used to detect user-defined activities such as potential threats or dangers.

http://findarticles.com/p/articles/mi_h ... n19871819/

Intelligent Scene Analysis System

iSAS is an advanced solution to assist users of any CCTV system in the detection of important activity. This activity may be a potential threat, an illegal action or a situation where help is required. In fact, the system can be trained to detect whatever the user requires.

iSAS integrates with any new or existing CCTV installation and can also be used retrospectively. No expert tuition is required, with the actual system operators training the system to their particular requirements.

iSAS can be configured in a number of ways to handle the detection of a suspicious scene. For example, a single system could simply alarm a user, play a pre-recorded message over a loud speaker or begin the recording of images (pre-recording is also an option).

Industry figures show that up to 85% of on-screen information is lost within 15 minutes of the system operator being logged on and that most CCTV systems are less than 30% efficient. iSAS takes up a high percentage of this loss, improving dramatically the efficiency of any CCTV system.

The system identifies specific or potential incidents to operators for verification, action or both.

Will produce a report each morning of events that the system believes the site manager needs to be aware of from the day before.

The system only records items of interest – it does not record hours of nothing – filling up the DVR and making looking for an event a near impossibility.

iSAS can be trained to detect OHS type incidents, hold-ups, unauthorised behaviours, unauthorised entry, fire, site and property damage.

iSAS can be purchased as a separate module

[CrackSmokeRepublican]

Richard Perle's company  is datamining and looking at more than just "criminals"

Police crime recording and investigation systems – A user's view

Richard William Adderley, Peter Musgrove
Journal:

Policing: An International Journal of Police Strategies & Management


Abstract:

This paper provides an overview of the role computer software plays within police forces with particular attention paid to crime analysis and investigation computer systems. A distinction is made between major crime (e.g. murder, violent assault, rape, etc.) and volume crime (e.g. domestic burglary, shoplifting, etc.). Illustrative systems that are in practical use for tackling both major and volume crime are described. Particular attention is paid to the attempts that have been made to apply artificial intelligence techniques to tackling the volume crime of burglary. A topic of current research is the use of data mining techniques for automatically detecting patterns in reported crimes. The paper concludes by looking at the problems and benefits such systems may bring.

Keywords:

Crime, Data mining, Data processing, Knowledge management, Police

http://gerds.utp.br/deborah/deborah/Dat ... s/p100.pdf

Dynamic Reasoning Engine (Likely an engine like this was used live on 9/11 to cap leaks)

It uses a dynamic reasoning engine (DRE)
within a RDBMS in aMicrosoftWindows environment that has been developed
by Cambridge Neurodynamics Limited, England (Cambridge Neurodynamics
Ltd, 1997). The engine is capable of searching all incidents on the system with
the facility of using natural language searches. The results are a list of
documents that are possibly linked to or have a relationship with previously
unconnected documents and a list of possible keywords is produced which may
be used in future searches. The engine may be used in automatic mode, manual
mode or a combination of these modes thereby allowing the enquirer full
control of the AI used. Compatibility between different police forces is ensured
as the system was designed and built by a single contractor.

Interpol

Interpol has been the centre of police co-operation for its 177 member states for
almost 75 years. Its computer system centralises data from members' National
Central Bureaux (NCBs) which amount to 100,000 new documents annually.
These are stored and archived in the main database in Lyon, France. Data is
enriched and annotated and a selection is made available to NCBs through an
Interpol designed automated search facility. It is now moving from its
mainframe-based system to IBM RS/6000s running relational database
technology from Oracle (Mansell-Lewis, 1997).

The project was launched in 1996 with the objective of integrating the three
diverse systems of the core criminal database, the electronic archive and the
automated search facility. It was expected to roll out the system in late 1997,
when there will be two copies of the integrated database: a master copy for
standard search facilities and a replicated copy supporting the use of more
complex crime analysis tools. The visualisation tool, i2 (see below for software
description) will be used to analyse complex searches through telephone or
recording bank account numbers. Free text searching across the database will retrieve
information that is often received out of context and the ability to store very
high resolution colour images will assist in the tracking of stolen works of art,
credit cards, etc. It is now possible to provide an image of a stolen or counterfeit
credit card to the central system and it is being made available to all member
states worldwide within hours.