Optimize Service Delivery with Predictive Analytics


This event qualifies for 1 CPEs


Public sector agencies face escalating pressures to leverage generative AI for improved service delivery and operational efficiency. However, they grapple with data silos, inconsistencies, and biases that hinder the reliability of AI-generated insights. This is compounded by increasing mandates for data transparency, accountability, and security, as outlined in frameworks like the Federal Data Strategy and the NIST AI Risk Management Framework. These mandates accelerate the need for agencies to modernize their data management practices to effectively support AI initiatives.

 

During this online session, attendees will:

  • Understand the critical role of data quality and governance in achieving reliable GenAI outputs
  • Determine how to mitigate bias, inaccuracies, and sensitive data risk with fit-for-purpose data feeds to LLMs
  • Discover how to implement self-service analytics with a modern, governed AI platform, aligning with government mandates
  • Explore how to streamline application modernization and cloud migration to support advanced analytics and AI initiatives

Register today and empower your agency to leverage the full potential of AI with a robust and reliable data foundation!

Speaker and Presenter Information

Tony Sheaffer, Director of AI & Governance, Infoverity

Relevant Government Agencies

Other Federal Agencies, Federal Government, State & Local Government


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Event Type
Webcast


This event has no exhibitor/sponsor opportunities


When
Wed, May 7, 2025, 1:00pm - 2:00pm ET


Cost
Complimentary:    $ 0.00


Website
Click here to visit event website


Event Sponsors


Organizer
Informatica Government Team at Carahsoft


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