M2VA reached out to leaders in the field of electronic health care records who are interested in providing a replacement for AHLTA.
The unrest that swept the Middle East in the Arab Spring of 2011 not only caught the U.S. national security community by surprise, but also brought home in a dramatic way to intelligence analysts that they needed to expand their traditional sources of information by incorporating social media and other open source material into the overall intelligence picture.
Predictive analytics has emerged as an important capability for geospatial intelligence analysts. Scrutinizing events to uncover patterns related to a location makes it possible to anticipate where similar events are most likely to occur in the future, directing analysts, law enforcers and warfighters to focus on those areas.
The military, government and other organizations are only starting to realize the full impact of big data analysis, according to Bill Franks, a prominent big data advocate who currently serves as chief analytics officer for Teradata.
The job of the intelligence analyst has become tougher over the last few years. They have been bombarded by a growing deluge of data from an exploding constellation of sensors. They are often trying to anticipate unknown actions of an unknown adversary from a series of observations that are not necessarily neatly organized according to time and place.
While the Hadoop open source distributed file system is becoming an increasingly important tool for crunching big data for intelligence analysis, it is not inherently well equipped to handle geospatial data. As a result, companies in the field are moving on several fronts to develop and market environments, appliances and tools specifically designed to handle problems of geospatial intelligence within Hadoop.
New data types and new big data analytics are the path forward for network defenders who are having to deal with an always-changing cyber-adversary, a major survey of IT and IT security professionals indicates. The results of the survey, conducted by the Ponemon Institute for Teradata, offer empirical evidence that big data analytics plus conventional security technologies translate to a better cybersecurity posture.
While organizations struggle with the heavy demands of acquiring, storing and analyzing big data, the real challenge may be in making sure that their data is big enough.