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Discover how Recovery Optimization, Fusion's latest patent-pending innovation, can transform your IT disaster recovery program

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From Disaster Recovery to IT Resilience: Turning Data and Automation into Measurable Strength

Wednesday, May 13 | 1:00 pm - 2:00 pm CDT

The concept of “IT resilience” has evolved beyond recovery planning; it’s about enabling continuous operations, informed decision-making, and measurable business outcomes. For many organizations, the journey from traditional IT disaster recovery (ITDR) to IT resilience remains unclear.  

This session explores how to elevate ITDR programs through data analytics, AI enabled intelligent automation, and actionable insights. Drawing from industry best practices and real-world examples, this session shows how to identify and leverage operational data that reflects your organization’s true resilience posture, and how AI-driven tools can streamline testing, analysis, and optimization.  

Participants will gain practical strategies for incorporating recovery optimization into broader enterprise resilience programs, without turning the conversation into a technology pitch.  

You’ll learn:

  • How to define and assess IT resilience beyond traditional recovery metrics  
  • Ways to apply data analytics, AI solutions, and intelligent automation to strengthen testing, response, and recovery analysis  
  • How to use operational data to demonstrate resilience maturity and value to stakeholders  
  • The role of recovery optimization in enabling continuous improvement 

Join peers across the resilience community to gain a practical perspective on how ITDR programs are advancing in 2026, and how to use data, analytics, and AI to strengthen recovery performance and decision-making when disruption occurs. Register today! 

Details

Join our DRJ-hosted webinar to learn how ITDR leaders are using data, analytics, and AI to improve recovery performance and make more confident decisions.

Hosted By:

Disaster Recovery Journal

Venue
Date:

Wednesday, May 13, 2026

Time:

1:00 pm - 2:00 pm CDT