-Caveat Lector-
Law Enforcement Information-Sharing Network Rapidly
Expanding Using Next-Generation Analytical Technologies
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POOLESVILLE, Md., Oct. 31 /PRNewswire/ -- Visual Analytics, Inc. (VAI) recently announced the successful deployment of the Digital Information Gateway (DIG) server-to-multi-server capability to enable law enforcement and homeland defense information-sharing networks. Since the announcement last week, additional participants have joined in -- building rapidly on the success of the recent live demonstration at the International Association of Chiefs of Police (IACP) Conference in Philadelphia, PA. The New Jersey High Intensity Drug Trafficking Area (HIDTA) and Data Mining for Law Enforcement (DMLE) have joined the Philadelphia/Camden HIDTA and the Washington-Baltimore HIDTA in using Visual Analytics' DIG and specialized data mining and online data services. The project is in cooperation with the University of Maryland, National Institutes of Justice, University of West Virginia, and the West Virginia State Police. Uniquely, the New Jersey, Philadelphia/Camden, and Washington-Baltimore HIDTAs and DMLE can now access, retrieve, analyze, and collaborate on information from a "Collective Knowledge Base" that includes distributed databases, documents, and web sites simultaneously -- enabling proactive analysis for these safety and law enforcement agencies. Unlike other approaches, which require a centralized data warehouse where all information must be sent, the server to multi-server (S2MS) approach employed by DIG provides a secure, more powerful, maintainable, and cost- effective method for sharing data without the need for supercomputers, recurring costs, or extensive infrastructure expansion. Using DIG, information is always up-to-date, accounting logs can be locally checked, and access granted/denied on a moment's notice. Privacy concerns are virtually eliminated because all control remains with the agency. Furthermore, depending on the needs of the agency, the DIG system can be configured to return the actual data or a pointer-index for positive query results that keeps the actual data secure and hidden while providing a reference to initiate follow-up requests. The number one priority of the Department of Justice and Homeland Defense is effective and secure information-sharing between federal, state, and local agencies. DIG effectively addresses the need by enabling network-centric collaboration and analyses where federal, state, and local law enforcement and public safety providers become information nodes on a network. This architecture allows for local ownership and control of data, provides more timely and current information to end users, and is cost-effective. Bennett McPhatter, COO of VAI, comments, "VAI is seeing rapid acceptance and implementation of DIG server-to-multi-server capabilities because it directly meets the needs of federal, state, and local law enforcement and homeland defense for information sharing. VAI will continue to execute and deliver robust capabilities as more members join and the network grows and becomes a blueprint for data sharing solutions." DIG is part of the "Data Clarity" suite of analytical tools from Visual Analytics that offers a full spectrum of features for searching, analyzing, sharing, and reporting. VAI's technology is commercially available and can be provided at discount to qualified law enforcement agencies. About Visual Analytics Founded in 1998, Visual Analytics, Inc. (VAI) is a privately-held, veteran-owned company based in the Washington, DC metropolitan area focused on Superior Pattern Discovery Solutions for Knowledge Discovery. VAI serves a wide-range of markets dealing with complex issues that need advanced data analyses and data mining. VAI has created a suite of advanced tools called Data Clarity, including VisuaLinks(R) and Digital Information Gateway (DIG(TM)), which are used to search, manipulate, structure, and present data for analysis. More information on VAI can be found at http://www.visualanalytics.com Let us please be civil and as always, Caveat Lector. ======================================================================== Archives Available at: http://www.mail-archive.com/[EMAIL PROTECTED]/ <A HREF="">ctrl</A> ======================================================================== To subscribe to Conspiracy Theory Research List[CTRL] send email: SUBSCRIBE CTRL [to:] [EMAIL PROTECTED] To UNsubscribe to Conspiracy Theory Research List[CTRL] send email: SIGNOFF CTRL [to:] [EMAIL PROTECTED] Om |