SVP Global Public Sector & CRO
Chris Biow leads the Global Public Sector team at Basis Technology, working with government customers to meet their text analytic mission needs using Basis software and services. After flying with the US Navy as an F-14 Tomcat RIO (Radar Intercept Officer), Chris founded a sales-enablement software company and then worked delivering Public Sector solutions with search and database software at Verity, Autonomy, as Federal CTO at MarkLogic, and at MongoDB. Throughout this time, he has specialized in large textual data problems as applied to anticipatory intelligence.
Christopher Biow is speaking at the following session/s
Recognizing Names with AI using Solr Hashes and Stream Processing
Since the events of 9/11/2001, the US has successfully forestalled any major foreign terrorist attack of that magnitude. A key element of this success has been production and enforcement of national watchlists, such as for persons to be denied entry or passenger flight status. We will explore some of the techniques used in matching to those names, despite the enormous variation they undergo across languages, cultures, alphabetic scripts, and even deliberate obfuscation. This is a core case for AI, where accuracy is essential in traversing essentially human processes such as nicknaming, honorifics, and translation. It’s also deadly serious: false positives result in infringement to civil liberties, and a false negative resulted in mayhem in 2013 at the Boston Marathon. We will explore the means to process an essentially unlimited stream of text, exploring AI-driven high-recall and high-precision processes, to provide state-of-the-art accuracy in matching names to a watchlist.
The takeaway is understanding how to high-volume stream data in combination with Solr and AI for matching names in unstructured text with near real-time results. Technical attendees, developers, computational linguists, and intelligence organizations focused on name matching should be sure to attend.