by clicking on the page. A slider will appear, allowing you to adjust your zoom level. Return to the original size by clicking on the page again.
the page around when zoomed in by dragging it.
the zoom using the slider on the top right.
by clicking on the zoomed-in page.
by entering text in the search field and click on "In This Issue" or "All Issues" to search the current issue or the archive of back issues respectively.
by clicking on thumbnails to select pages, and then press the print button.
this publication and page.
displays a table of sections with thumbnails and descriptions.
displays thumbnails of every page in the issue. Click on a page to jump.
allows you to browse through every available issue.
FCW : October 30, 2013
W ith the on-going exponential growth and variety of human communications methods, organizations have much more data to analyze as they seek to uncover continually evolving threats such as suspicious behaviors, criminal relationships and fraudulent activities. The only problem is that the variety of sources --- many of which involve poorly structured data --- has made analysis much more complex. In particular, there is a growing emphasis on collecting and analyzing human communications such as email, voice, instant messaging and social media. This task can be challenging, as information and patterns that change over time. Moreover, it is common for these solutions to be deployed along functional siloes, leading to minimal information- sharing across operational groups. All of this requires a more comprehensive, holistic approach to analytics that does more than traditional text and predictive analytics systems. It calls for a new way of detecting risks and relationships: One that can connect the dots seamlessly across traditional data sources, electronic communication systems and public sources of information. HOLIS IC ANAL ICS Digital Reasoning, a company that made its mark by helping defense and intelligence organizations analyze complex scenarios in the areas of intelligence analysis, cybersecurity, counterintelligence and counterterrorism, has the technology to help other organizations with complex analysis needs. That includes agencies working in services and industry regulation. The company's machine learning-based analytics platform, Synthesys®, can analyze any data source as it semantically reveals and organizes people, places and activities into a private knowledge graph. rules or patterns, or an understanding of the underlying data ontology. Its approach is three-pronged: Read, resolve and reason: Read: Initial processing, performs entity and fact extraction. Example: Suspicious Activity Reports (SARs) are processed and key account numbers, account owners, Resolve: Assemble, organize and relate information. Resolve entities, performs Example: Key information within the SAR is resolved and correlated with data contained in a global knowledge base providing a holistic view of network and relationship connectivity. Reason: Uncover, compare and correlate information, perform temporal and geospatial reasoning and produce a private knowledge graph. Example: Linkages to suspicious or criminal activity are uncovered and surfaced in an easy-to-understand format. "Our experience helping solve some of the most challenging analysis requirements within the defense and intelligence sectors led us to develop Synthesys, our machine-learning platform," explains Marten den Haring, senior vice president of products at Digital Reasoning. "Synthesys enables organizations to analyze multi-channel and dynamic, interconnected data to detect anomalies and uncover suspicious activity in real-time." Digital Reasoning's technology is law enforcement, for example, it can help agencies like the departments of Homeland Security and Justice and state and local law enforcement uncover previously unknown criminal relationships and risks. This technology could be particularly useful in supporting national counter-terrorism, counter- narcotics and syndicated crime analysis. regulators, the technology can help organizations such as FinCen holistically analyze the narrative within SARs, social media and other public sources of information for previously unknown "Today, many sectors share a common set of analytical challenges that can be addressed by feeding existing tools and den Haring says. "By synthesizing information in context we can more rapidly and accurately understand what's important in data that otherwise may put our law enforcement personnel in harm's way, or why an holistic approach to data analysis must begin by reducing the signal to noise ratio in large and messy data sets." Holistic analytics: Distinguishing the signal from the noise GameChanger GAME CHANGING ECHNOLOG O MEE AGENC MI ION SPONSORED CONTENT DEEP ANALYTICS For more information on Digital Reasoning and ynthesys, its award-winning machine-learning analytics platform, please visit: www.digitalreasoning.com
September 30, 2013
November 15, 2013