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.
GCN : October and November 2016
S-14 S OCIAL MEDIA DATA—the information gathered from posts on Instagram, Facebook, Twitter, Vine, Periscope, and more —is the richest set of high-volume, location-tagged data in human history. And it continues to grow richer and more valuable with every m inute. While federal agencies have been mining social data for intelligence for some time, traditional search mechanisms miss rich, actionable location data, the key component to generating immediate response and awareness. That was the “big idea” back in 2010. We asked ourselves, “What if you could add the ‘where’ element to the ‘who’ and ‘what’ element of social media?” That’s a powerful question. The combination of real-time social media data from multiple sources and location data, combined with more static data like locations of roads, utilities, physical assets, and maps, gives you highly relevant and actionable data. With this data, agencies have what they need to improve real-time operations and deliveries, as well as stay on top of the latest security threats, natural disasters, and other important events. Agencies can use location data in social media posts to monitor certain areas. If the word “f lood” frequently occurs in one part of Louisiana, for example, emergency management can immediately dispatch first responders. As sensors become a bigger part of the picture, they also can be a valuable source of intelligence. If there is a natural disaster, bombing, or other important event, agencies can use this location infor mation, embedded in everything from vehicles to inventory, to understand where every asset is at any given time. Agencies are drowning in data. What they really need is actionable data that is relevant to them. Social media and location data will only become more important over time, so deploying the right technology to help agencies leverage that data is key. Read more from Phil Harris at carahsoft.com/innovation/Harris. PHIL HARRIS CEO, GEOFEEDIA HARNESSING THE POWER OF LOCATION DATA Location data attached to social media posts can provide valuable intelligence. H OW DO I KNOW what I missed? Traditionally, a research analyst could only know she’d covered those sources that she had queried directly. A new frontier in text analytics is expanding the user’s reach by automatically analyzing in-progress notes, such as an email in Outlook or a page in OneNote. These new systems recommend documents that fill in knowledge gaps by automatically comparing the user’s text to data in vast enterprise repositories and also the Deep Web. Instead of only applying text analytics to source documents, this new approach uses extractions from the user’s in-progress document to query for new data and to predict how much new knowledge each document can reveal to the user. This allows machines to operate at human-level accuracy, and humans to operate at machine scale. This new application of text analytics accelerates both junior and senior analysts. It learns from the user’s triage of new content, and provides a quick picture of the knowledge graph surrounding a user’s notes. By keeping track of which recommendations a user accepts or rejects, the tool “hangs in there” as the researcher’s thoughts evolve. For example, with traditional search tools, a researcher tracking an organization’s activities might miss a document indicating that one of its partners or suppliers built a new facility next door – a classic unknown that this new approach can detect. All organizations that process infor mation will benefit from this new kind of intelligent search. From analyzing advanced threats to solving a backlog of information requests, putting machine intelligence into your in-progress documents allows you to uncover the whole story, so you can ask the big questions immediately. Read more from John Frank at carahsoft.com/innovation/Frank. JOHN FRANK CEO, DIFFEO INTELLIGENT SEARCH CREATES CONNECTIONS New application applies existing text analytics to take a predictive approach. NEW FRONTIERS IN ADVANCED ANALYTICS SPONSORED CONTENT SPONSORED CONTENT ADVANCED ANALYTICS
August and September 2016
January and February 2017