An Exploration of 3 Very Different ML Solutions Running on Accumulo

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Use Case

Talk Abstract

Are your customers looking to build diverse machine learning (ML) solutions on Accumulo? In this talk, we walk through three production ML use cases that require users to interact with Accumulo in very different ways - Supply Chain Risk, Cyber Monitoring, and Forensic Document Search. We discuss the surprising result that we are able to support all of these use cases using the a common set of Accumulo tables.


Gadalia O'Bryan
Vice President of Global Services, Koverse Inc.

Gadalia has spent her career delivering robust, repeatable software solutions with real business and mission value. She enjoys partnering with customers to rapidly move forward and see a return on investment from their big data implementations.

Gadalia worked for the National Security Agency (NSA) for nearly a decade before leaving the public sector to join Koverse. At the NSA, Gadalia built production big data solutions that are referenced by programs throughout the U.S. Department of Defense and Intelligence Community. She also led large-scale security evaluations of cryptographic algorithms and information security systems, including both commercial and government applications.

Gadalia holds a Bachelor of Arts (BA) degree in Mathematics from the University of Colorado at Boulder, where she published work in the journal Numerical Algorithms. She holds a Master of Arts (MA) degree in Mathematics from UCLA, specializing in Algebraic Topology.