DGIQ-E22: Conducting the Symphony of AI - How Data Governance Orchestrates Development of Transformational AI Tradecraft
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Data Governance serves as the “conductor,” developing Data Management “music scoresheets,” predicating methodologies and strategies that apply to how data should be acquired, managed, used, and secured, augmenting trust and integrity of AI models, while assuring they follow the organization’s law and policy boundaries.
This case study presentation will highlight how the Intelligence Community (IC) is addressing these challenges, by establishing innovative data governance and data management methodologies to:
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Promote sharing of AI Models and AI data outputs across IC Agencies
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Support the development of a policy-compliant AI Governance ecosystem
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Predicate strategies to enforce Legal and Policy considerations governing AI training data
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Establish data controls to build policy and legal compliant AI training data pipeline
Speaker: Efrain Rodriguez
Efrain Rodriguez is currently a participant of the Senior Technical Development Program (STDP), and a former Directorate Data Steward at the US. Department of Defense (DoD). Efrain’s area of research is focused on augment Data Management/Data Governance methodologies to streamline integration of Data and AI. As a Data Steward, Efrain led various cross-directorate functional teams, and still participates in several data governance working group efforts geared toward improving data governance and data sharing standardization across DoD and the Intelligence Community (IC). Efrain has over 20 years of experience working Tactical/Technical Signal Intelligence (SIGINT), applied Research and Development, Cyber Policy/Cyber Tactical strategic operations, and Missile/Radar System Design and Development. Efrain has previously led tactical and strategic Cyber Mission Operations support for DoD, providing DoD customers with technical capabilities and expertise in cloud analytics, and systems/software engineering to support rapid prototype development organizations.
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