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̽»¨ÊÓÆµ, in conjunction with its vendor partners, sponsors hundreds of events each year, ranging from webcasts and tradeshows to executive roundtables and technology forums.

Events and Resources

Events

Onsite Event

2026 Law Enforcement Innovation Summit


Event Date: April 02, 2026
Hosted By: ̽»¨ÊÓÆµ

State, local and federal law enforcement agencies are facing increasing operational demands, tighter oversight and more complex digital environments. The 2026 Law Enforcement Innovation Summit brings together government and industry for a focused conversation on how to address these realities.

This event highlights practical approaches to managing expanding digital evidence volumes, strengthening cyber resilience and improving coordination across jurisdictions. Gain an understanding of how emerging technologies are helping agencies streamline investigative workflows, enhance situational awareness and protect mission critical data.

On-demand sessions cover:

  • AI driven investigative tools that accelerate media review, support efficient redaction and help reduce case backlogs
  • Digital forensic triage and collection techniques that enable timely, defensible evidence acquisition across devices and cloud environments
  • Advanced video and aerial capabilities that improve visibility and support officer safety
  • Secure data storage strategies that safeguard sensitive information and sustain operational continuity
  • Enhanced information sharing and online intelligence solutions that promote collaboration and strengthen investigative insight

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Resources


US Citizenship and Immigration Services Improves Fraud Analytics with Senzing Entity Resolution
Case Study

US Citizenship and Immigration Services Improves Fraud Analytics with Senzing Entity Resolution

Explore how Senzing helps USCIS fight immigration fraud with advanced entity resolution analytics. Immigration fraud is one of the biggest challenges that the United States Citizenship and Immigration Services (USCIS) faces. The USCIS struggles with multiple incompatible, complex systems that cause duplicate data, human errors and large, unorganized data sets. Explore this case study to learn how Senzing improved fraud analytics through entity resolution.


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