CDAO Government 2025
Presentations
Keynote Presentation: Harnessing the Transformative Power of Generative AI: Navigating Challenges and Seizing Opportunities
- Examine the current maturity of your data analytics caEnabling transformation and decision making with trusted data
- Ensuring data quality, consistency, and integration
- Improving the quality and speed of government decision-making at scale by automating administrative tasks
Josh Martin
Former CDAO
STATE OF INDIANA
Keynote Presentation: Zero Trust Architecture Realized with AI enabled Data Governance and Protection
- Why AI-driven data governance is essential to meet ZTA mandates
- How to work iteratively on all ZTA pillars
- Achieving ZTA with data inventory, labeling, access determination and more
Michael R. Anderson
Chief Strategist, Public Sector
INFORMATICA
Keynote Presentation: Data Driven Integration and Automation Workflows to More Effectively Support Policy Implementation, Government Responsiveness and Efficient Public Services
- Align your data & analytics strategy with cross-government & organization level priorities and goals
- Results driven data flows that maximize the value of your data and support cross agency integration to provide decision support information relevant to your stakeholders
- Model based data integration and automation pipelines to promote more agile information gathering and analytics adaptable for a range of applications
- A variety of critical infrastructure, public safety, environmental and disaster management application examples will be explored
Dean Hintz
Open Standards Product Manager
FME BY SAFE SOFTWARE
Keynote Presentation: Growing up Together in the AI Era with Cross-Sector Partnerships
As AI transforms the research ecosystem and reshapes how organizations operate, it’s time for government, academia, and industry to rethink how they collaborate to drive innovation and serve the public good. I will share a vision and concrete examples of new cross-sector partnerships that not only implement AI to accelerate today’s R&D but also help shape a vibrant, forward-looking research ecosystem. In many ways, we are all “kids” in the AI era and face shared challenges: how to develop AI that addresses societal needs, how to implement AI to strengthen our institutions, how to prepare a future-ready workforce, and how to uphold human dignity and values in the workplace. Each sector brings unique strengths, and by learning from one another, we can “grow up” together and co-create an AI-powered future for humans to flourish.
Jing Liu
Executive Director, Michigan Institute for Data and AI in Society
UNIVERSITY OF MICHIGAN
Keynote Presentation: Promoting Trust in Public Sector AI: Ensuring Robust Data Integrity and Ethical AI Practices
- Techniques for maintaining data accuracy and reliability
- Ethical AI practices in the public sector
- Building public trust through AI governance
- Balancing innovation and ethics in AI development
Joah G. Iannotta, Ph.D.
Technical Director for Data and AI Governance
ABS GROUP
Former Acting Deputy Assistant Commissioner for Data at the Bureau of the Fiscal Service
U.S. DEPARTMENT OF THE TREASURY
Keynote Presentation: Collaboration is Key – Bridging Technical, Data, and Business Teams
- Where do you find new potential collaborators to best enable innovation?
- What common practical, cultural, and legal issues can make collaboration difficult, and how can these be overcome?
PMP (CDR USCGR RETIRED)