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Dmytro Gassanov

Speaker

Architect / SME - Network and Cloud
TM Forum

Dmytro Gassanov is a seasoned architect specializing in Autonomous Networks, ODA, GenAI, and Cloud Native transformation projects at TM Forum. He has over 20 years of experience in the telecom and IT industries, holding various roles.
Prior to joining TM Forum, Dmytro worked as an architect in the NEC/Netcracker CTO office, where he was responsible for technology strategy and the development of service and domain orchestration products.
Additionally, he has authored numerous contributions to ETSI, MEF, OASIS, IOWN, and other standards development organizations, focusing on orchestration and integration aspects.

Dmytro

Featured Sessions

09:00 AM

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19 June 2025

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09:00 AM-10:30 AM

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Stage B

circleThe Autonomous Networks Pathway
Core Building Blocks of AN: AI-Powered Agents, Intent-Driven Automation, and Self-Healing Capabilities Enable Level 4 Autonomy

This masterclass focuses on the fundamental pillars of Autonomous Networks, explaining how AI-powered agents, intent-driven automation, and self-healing capabilities work together to enable Level 4 autonomy. Participants will gain insights into intent-based decision-making, the role of AI in real-time assurance and optimization, and how self-healing networks proactively detect and resolve issues. Through interactive discussions and case studies, this session will help CSPs design a robust AN architecture that supports intelligent, autonomous operations.

11:30 AM

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19 June 2025

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11:30 AM-01:00 PM

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Stage B

circleThe Autonomous Networks Pathway
ANL4 Solution Packages Blueprint: From Vision to Deployment

This masterclass focuses on the fundamental pillars of Autonomous Networks, explaining how AI-powered agents, intent-driven automation, and self-healing capabilities work together to enable Level 4 autonomy. Participants will gain insights into intent-based decision-making, the role of AI in real-time assurance and optimization, and how self-healing networks proactively detect and resolve issues. Through interactive discussions and case studies, this session will help CSPs design a robust AN architecture that supports intelligent, autonomous operations.