This session examines how finance leaders can better align data, processes, and technology to improve decision-making, operational efficiency, reporting, and financial oversight. It also looks at the foundational steps organizations should consider before expanding their use of AI, including data quality, governance, security, infrastructure, and AI readiness.
Topics covered include:
- AI and automation in public finance
- Finance modernization and digital transformation
- Public sector data analytics
- AI readiness assessments and roadmaps
- Data quality and data governance
- AI governance, privacy, and security
- Modern data lakehouse architecture
- Government procurement analytics
- AI agents and natural-language data analysis
- Automation of repetitive finance and administrative tasks
- AI applications for government and nonprofit organizations
- Building practical AI use cases and identifying quick wins
- Measuring potential ROI from AI initiatives
The session also includes practical demonstrations showing how AI can analyze government procurement data, identify potential compliance issues, answer questions using natural language, and provide employees with information from organizational documents.
