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Carahsoft, in conjunction with its vendor partners, sponsors hundreds of events each year, ranging from webcasts and tradeshows to executive roundtables and technology forums.

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Upcoming Events

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December 09, 2019

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December 10, 2019

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December 10, 2019 at 8:00 AM ET

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December 10, 2019 at 8:00 AM ET

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Events

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Diffeo Event

AI <> Tradecraft Forum


Event Date: March 13, 2019
Hosted By: Diffeo's Second Annual AI Tradecraft Forum
Location: Arlington, VA
Thought Leader Presentations (All Day):

Dr. Pat BiltgenAuthor of Activity Based Intelligence
David J. Gauthier, Director, Commercial and Business Operations Group, NGA Source“Reaching all the data for GEOINT”
Patricia Guitard*, Senior OSINT Consultant, US INSCOM 
“OSINT challenges, successes and the road ahead.”

Hannah MacKenzie-Margulies, Product Manager, Basis Technology, Rosette Text Analytics

"Multi-lingual analytics for open source and dirty data."

Andrew E. Newton, Technical Director, J2, US CYBERCOM,“To index or not to index? That is the data lake question.”
Robert Shelton, Jr., CTO, Microsoft Federal“How AI and continuous monitoring affect force protection.”

Dr. Ian Soboroff, Group Leader, Retrieval Group, Information Access Division

“TREC: measuring the effectiveness of information analytics.”

Fred Waugh*, Program Manager, MIT Lincoln Labs

"Assessing AI Capabilities."

*invited 

Hands-On Workshops (Afternoon):

  • Open Source Web Research: Hands-On Tradecraft and Tools
    • Focusing on the countries of India and Russia, Diffeo’s analyst team will teach the latest PAI exploitation techniques to research foreign government interest in critical DoD supply chains and political leadership goals.Tools include: managed attribution with Authentic8/Toolbox, Recordedfuture, Basis multi-lingual analytics, and more.
  • Machine Learning Tutorial: Python Vector Embeddings for Entity-Entity Relations
    • Diffeo’s machine learning team will provide a hands-on tutorial based in an iPython notebook adapted from our colleague Sameer Singh’s tutorial on vector embeddings for entity-to-entity relations.  This clever use of matrix factorization combines unstructured documents with relations from a structured knowledge base to create dense vectors that encode the semantic meaning of relationships.


Resources

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Case Study

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Case Study
Accelerate Discovery with Diffeo’s AI-Powered Research Assistant
While data creation and accessibility has grown dramatically, our ability to consume and utilize that data has not kept up. Humans are limited by time and language skills; however, full automation is not an option as machines lack the intuition and broader understanding of research goals that a huma...
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Resource

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Resource
2017 GEOINT Interview - Geoffrey Milstein, VP Public Sector, Diffeo
Interview with Geoffrey Milstein, VP Public Sector of Diffeo at 2017 GeoINT.
READ MORE >

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Resource
Interactive Machine Learning: A new kind of discovery
Dieo’s mission is to help people organize the world’s information by accelerating surprises. Interactive machine learning helps intelligence analysts rapidly traverse and develop knowledge graphs. The uid interaction between humans and machines enables users to quickly uncover relationships ...
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Resource
Cyber Threat Intelligence: A new kind of discovery
Discover unknown unknowns in unstructured text by rapidly assembling networks of entities with help from Dieo’s active learning algorithms for large-scale entity disambiguation. As you take note of interesting relationships, the machine-in-the-loop learns which entities you are studying and su...
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Resource
Activity Based Intelligence: A new kind of discovery
Discover unknown unknowns in unstructured text by rapidly assembling networks of entities with help from Dieo’s active learning algorithms for large-scale entity disambiguation. As you take note of interesting relationships, the machine-in-the-loop learns which entities you are studying and su...
READ MORE >

Whitepaper

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Whitepaper
Collaborative Machine Intelligence (AI) for Discovery
Even with the progress that has been made sorting and analyzing massive volumes of data, much remains to be gained by infusing the sorting, discovery & analysis process with active machine intelligence. Most agencies rely on text analytics and big data algorithms, and yet, those tools stop short ...
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