Public sector agencies are rapidly adopting generative AI (GenAI) to modernize data management, improve citizen services and streamline operations. However, many agencies rely on outdated information, disconnected systems and manual processes that slow decision-making and limit the effectiveness of key initiatives. This fragmented data landscape makes it difficult to access and integrate the comprehensive data that large language models (LLMs)...

George Washington University, like many higher education institutions, generates a wealth of data across student retention, enrollment trends, financial performance and more. However, this data is often siloed across multiple ERP applications and spreadsheets, making it difficult for departments to access data in real-time for operational reporting. This fragmented data landscape also makes it difficult to gain a holistic view of the student e...

Government agencies face increasing pressure to deliver citizen-centric services while managing constrained budgets and growing data volumes. Implementing AI offers transformative potential, but unlocking its full potential requires overcoming the hurdles of data silos, data quality issues and limited data governance. During this webinar, attendees learned how AWS & Informatica empower government agencies to:Implement scalable data governa...

Agencies face growing pressure to deliver faster, more transparent public services while managing increasingly complex data environments. Disconnected systems, manual integration processes and limited visibility across sources hindered analytics, AI and mission-critical decision-making at scale. Data Management AI agents help agencies overcome these challenges by embedding intelligence directly into data operations, enabling automation and gov...