Innovation Mindset
Data Quality and Management for the Public Sector
Led by: Rebecca Friedman , Tony Vachino & Carolyn Carson
- Understand how effective data quality is a crucial foundation for the public sector to fully realize the potential of innovative digital solutions, including automation and AI
- Learn how, by prioritizing data accuracy, completeness, and consistency, government agencies can ensure the successful implementation and integration of these technologies
- Learn about current challenges in data management in the public sector
- Learn how to create a data strategy to inform data quality
- Understand defining and measuring data quality, and about data standardization and harmonization
- Discuss trends in data management, GenAI, and automation in the public sector and beyond
- Sign up here
Rebecca Friedman
Data Platform Services Practice Leader, IBM
Tony Vachino
Chief Intelligent Automation and Data Strategist, IBM Federal
Carolyn Carson
Managing Consultant, IBM
Format: Instructor-led
Date & Time: October 17, 2024, 2:00 PM ET
Duration: 90-minutes
Watch the recordingMore information
Join us for a 90-minute virtual training with Rebecca Friedman, Tony Vachino, and Carolyn Carson of IBM. For the public sector to fully realize the potential of innovative digital solutions, including automation and AI, effective data quality is a crucial foundation. By prioritizing data accuracy, completeness, and consistency, government agencies can ensure the successful implementation and integration of these technologies. In this workshop, participants will learn about current challenges in data management in the public sector, creating a data strategy to inform data quality, defining and measuring data quality, and about data standardization and harmonization. Participants will also hear about trends in data management, GenAI, and automation in the public sector and beyond.
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