Chief Data and Analytics Officers (CDAO), Government

Chief Data and Analytics Officers (CDAO), Government is a conference dedicated to the most pressing challenges facing the data & analytics community in the Government and Public Sector and the latest trends and solutions to navigate unchartered territory.

Topics

• Accelerating AI with Hybrid Data
• Increasing the Impact of Data & Analytics in Agencies
• Shaping the Future of Fraud Prevention Through Data
• Overcoming Data Silos for Cross-functional Teams
• Shaping Policies, Improving Services, and Enhancing Governance in Data Collection
• Building an Efficient Organization in a Data-Driven Culture
• Using Data for Policy Implementation, Government Responsiveness, and Public Services
• Unlocking the Transformative Potential of Generative AI
• Using Data to Empower Innovation in Agencies
• Protecting Government Data and Enabling Multi-agency Response
• Adapting Organizational Structures for Analytics
• Identifying the Right Data Solutions for Citizen Experiences
• Accessing Insights for Policy Development
• Maximizing Value with Analytics and AI
• Unleashing AI-Driven Government Potential
• Addressing Data Privacy Concerns in Analytics Solutions
• Ensuring Fairness, Transparency, and Privacy in AI
• Harnessing AI for Better Governance
• Transparency and Accountability in AI Inventory Sharing
• Leveraging AI for Data Strategy
• Upskilling and Continuous Development to Close the Talent Gap
• Capitalizing on Data Sharing Across Sectors
• Optimizing Customer Experience with AI Integration
• Improving Accountability with Data Integrity
• Data Security and Responsible Use of Data
• The Changing Role of the Chief Data Officer (CDO) in AI
• Capturing AI Potential in the Public Sector for ROI
• Improving Data Governance for Decision-Making and Public Services
• Building Long-Term Data Strategies in Agencies
• Sourcing, Retaining, and Training Talent in Competition with the Private Sector
• Collaboration with External Government Agencies
• Overcoming Reliance on Legacy Systems and Data Silos

Who should Attend

• Data Scientists
• CDAOs, CDOs, CAOs, CTOs, CIOs, CEOs
• Data & Analytics Leaders
• Data Engineers