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CDAO Government Conference

CDAO Government 2026 is a premier event for senior data, analytics, and AI leaders from U.S. government agencies. It focuses on innovative strategies, AI-driven solutions, and data governance to advance federal initiatives.

  • DatesSeptember 22-23, 2026
  • LocationWashington D.C.
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Description

CDAO Government 2026 is a leading conference for senior data and analytics leaders across U.S. government agencies. Scheduled for September 22-23 in Washington, D.C., this event brings together over 50 speakers and 200 attendees to explore transformative strategies in data-driven decision-making, AI implementation, and data governance. The conference aims to address unique public sector challenges, such as enhancing transparency, improving citizen services, and ensuring data security and ethical use of information in government operations.

Participants will have the opportunity to engage with industry experts and government leaders, gaining insights into the latest data-driven technologies and services tailored to the public sector. Key themes include leveraging advanced analytics to enhance decision-making processes, using AI for fraud detection, and ensuring data privacy and regulatory compliance.

The event is designed for senior data and analytics leaders, including Chief Data Officers, Chief Analytics Officers, Chief Information Officers, Directors, and Managers from government agencies. It provides a unique opportunity to connect with top professionals and expand networks in the public sector’s data and analytics space.

Sponsors include Carahsoft AI Pavilion and various industry and media partners. The conference promises a comprehensive experience with three co-located events under one roof, offering deep-learning opportunities across multiple facets of data, analytics, and AI.

Highlights

  • 50+ speakers

  • 200+ attendees

  • Focus on data-driven decision making

  • AI in fraud detection

  • Data governance and compliance

  • Agentic AI in government

  • Networking opportunities

  • Insight-packed events

Who Should Attend

  • Data Strategy Development
  • AI Implementation
  • Fraud Detection
  • Data Governance
  • Public Sector Innovation

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