Data Tangles and AI Wrangles: Mastering the Chaos of Complex Systems

In today’s data-driven public sector, connecting artificial intelligence to existing systems is rarely straightforward. State and local government agencies face a unique mix of legacy platforms, siloed data, compliance mandates and security requirements — all of which can turn integration projects into long, tangled journeys.

 

This Government Technology webinar, sponsored by Hyland Software, will explore the real-world challenges IT leaders encounter when linking diverse data sources, legacy applications and modern AI tools.

 

In this interactive session you’ll gain practical insights to:

  • Break down data silos and enable systems to communicate seamlessly
  • Navigate compatibility challenges across old and new environments
  • Anticipate hidden complexities that can derail timelines and budgets
  • Manage security and compliance risks without slowing innovation
     

Drawing on proven strategies and success stories from the public sector, we’ll help you tame the chaos and make AI work with — not against — your systems.

 

Whether your goal is to modernize public safety tools, improve citizen services or use predictive analytics for smarter decisions, you’ll leave with a clear roadmap for integration success. Don’t let complexity stall your innovation. Join us to learn how to master the connections that matter most

Speaker Details

Dewey Green, Senior Product Manager, Hyland


Natalie Smolenski, Strategic Advisor, Hyland

 

Sean McSpaden — Moderator, Senior Fellow, Center for Digital Government

Event Topic

Artificial Intelligence, Big Data, Machine Learning

Relevant Audiences

All State and Local Government, All Federal Government

Other Agency

Other Federal Agencies
Data Tangles and AI Wrangles: Mastering the Chaos of Complex Systems
Event Type
Virtual / Online
Event Subtype
Webinar / Webcast
When
Thu, Oct 02, 2025 | 2:00 pm ET
Registration Cost
Complimentary
Website
Click here to view event website
Organizer
Government Technology