Ep. 82 Improving Search Results for Law Enforcement Agencies

A wise man once said two things can be true at once.  On the one hand, federal law enforcement agencies are being bombarded with data.  Petabytes seem to be leaking in from the roofs and seeping in from the basement. On the other hand, they are being pushed to give analysis quickly while being understaffed.

Not a problem to solve for the sight of heart. Into the fray steps Siren.

During today’s interview, Brian Gilkey explains that Siren was founded with the idea of using concepts from the semantic web to be able to absorb mountains of data, digest it, and then present the findings in an easy-to-use graphical manner.

Siren’s technology enables agencies to gather the most common data sources and most desired data sets.  They could reach into the mysterious dark web as well as social media.

Brian expands on the dilemma facing federal agencies.  Even if they have the funding to add analysts, it may take up to eighteen months to get them productive.  The graphical capabilities of Siren allow the Matrix-like stream of ones and zeros to make sense. 

If you are interested in learning more about Siren they have a free PDF titled “Investigating Data Driven Law Enforcement.” 

 

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