On-Demand Webinar

From Darkness to Light in Telecom Lab Operations

The choice between expanding lab resources and improving lab efficiency is a real one, and the operators we've worked with have consistently found that efficiency wins, and it wins fast.

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In this webinar, you will learn how to:
→ Make lab issues visible before they impact critical testing cycles
→ Eliminate testing conflicts and give engineers and executives one lab source of truth for status, health, and lab management KPIs
→ Leverage a Lab Agent to automate lab operations
→ And most importantly, understand where to start with a “human in the loop” focus

If you're dealing with lab availability issues, manual lab operations bottlenecks, or you just want to understand what your existing lab structure can deliver, this session will give you a concrete, practical path towards more effective lab management practices.

About the Speakers

Patryk Debicki, CTO

Dr. Michal Patryk Debicki, CTO at Reailize has over 25 years of experience in the telecom industry across many domains. Former field CTO with Guavus/Thales. Leadership roles in network performance and network analytics with O2 Telefonica UK. Masters in telecommunications and PhD in electronics from GDansk University of Technology.

Jean Guerra, Delivery Director

Jean Guerra brings 15+ years of experience supporting Tier-1 telecom operators across the Americas in designing and evolving their core networks. He has guided operators through critical technology transitions from network design and architecture through full production deployment.

Eliana Ardila, Lead Analyst

With 4+ years of experience driving process automation and improving operational efficiency within telco labs and operations environments, Eliana focuses on optimizing maintenance workflows and enabling more reliable, scalable telco operations.

Anand Ravi, Solution Architect

Anand Ravi, Lead Architect, with over a decade of experience in network testing, operations, and AI-driven automation, Anand specializes in advancing Agent AI technologies for next-generation autonomous networks.

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