Blue Planet (a Ciena Company)
Executive perspectives from Blue Planet (a Ciena Company) across NextGenInfra's event and research showcases.
8 video interviews · 2024–2026
Governing Autonomous Networks
- Human-centric, approval-based governance cannot keep pace with the scale and impact of AI-driven decisions, so CSPs need an evidence-based approach.
- Operators must understand the consequences of overlapping AI actions — blast radius, how far to roll back, and whether to correct course going forward.
- Blue Planet config change management immutably records who initiated an event, why, the context used, the AI's decisions, and the devices affected.
Abstract
Balaji Subramaniam, Director, Product Management, Blue Planet at Ciena, argues that human-centric, approval-based governance cannot keep pace with the scale and impact of AI-driven decisions in autonomous networks, so communications service providers need an evidence-based approach that reveals the consequences of overlapping AI actions, including blast radius and rollback scope. He explains how Ciena's config change management immutably captures who initiated an event, why, the context used, the AI's decisions, and the affected devices, embedding governance directly into the network for audits and reporting.
When AI Runs the Network, Who Governs?
- Governance of autonomous networks has become a recurring boardroom topic for communications service providers worldwide.
- Approval-based governance gives way to an evidence-based approach that reconstructs and explains AI actions after they are taken.
- When no human is available to approve actions, governance must be embedded in the network itself — in how it decides, reacts, and presents evidence.
Abstract
Balaji Subramaniam, Director, Product Management, Blue Planet at Ciena, argues that human-centric, approval-based governance cannot keep pace with the scale and impact of AI-driven decisions in autonomous networks, requiring an evidence-based approach that reconstructs and explains actions after the AI has taken them. He contends that operators must understand the consequences of continuous, overlapping AI decisions, including blast radius and rollback, and that governance must be embedded directly into the network so it can govern itself and present evidence of its actions.
Telecom's Shift from Automation to Autonomy
- Telecom shifts from automation to autonomy, with accurate OSS data a prerequisite for agentic AI
- Autonomous network use cases move from pilots into production environments
- CSPs accelerate legacy OSS decommissioning, retiring decades-old mainframes that block AI
Abstract
John McVey, Global VP of Customer Success at Blue Planet (a Ciena Company), presents three key predictions for how the telecom industry shifts from automation to autonomy in 2026, including the critical need for accurate OSS data as a prerequisite for agentic AI, the advancement of autonomous network use cases from pilots to production environments, and the acceleration of legacy OSS decommissioning as CSPs retire decades-old mainframe systems that block AI capabilities. McVey emphasizes that winning networks in 2026 will be smarter, self-governing systems built to operate at machine speed as Blue Planet helps CSPs modernize their OSS environments to unlock measurable autonomy.
Digging into Agentic-AI Operations with Blue Planet
- Blue Planet's AI Studio framework structures agentic AI across three layers: agentic core, tooling, and applications.
- The platform spans inventory, orchestration, and assurance for service provider customers.
- Agentic AI is applied to bring new operational capabilities across the service lifecycle.
Abstract
In this extended video, Jean-Phillippe Goyet, Sr. Director Product Management - AI at Blue Planet (a Ciena Company), describes how Blue Planet implements agentic AI through their AI Studio framework, which operates across three layers: agentic core, tooling, and applications. He describes how the Blue Planet platform spans inventory, orchestration, and assurance, bringing new capabilities to their service provider customers.
Digging into Agentic-AI Operations with Blue Planet
- Blue Planet takes a two-pronged approach: out-of-the-box applications plus customer enrichment.
- Existing processes are re-engineered and optimized rather than simply automated.
- A flagship capability is instantiating dynamic network slices via natural language.
Abstract
Jean-Phillippe Goyet, Sr. Director Product Management - AI at Blue Planet (a Ciena Company), outlines their two-pronged approach that provides out-of-the-box applications while enabling customer enrichment. He describes how they re-engineer and optimize existing processes to create new capabilities like instantiating dynamic network slices via natural language.
AI Network Evolution: Towards Agentic AI in Networking
- AI-driven infrastructure and digital twins are key trends for network automation and simulation.
- Service providers are adopting data management layers and moving to cloud-native environments.
- Ecosystems must unite network, OSS, and BSS players with developer communities.
Abstract
Gabriele Di Piazza, Vice President of Products, Alliances & Architectures at Blue Planet (a Ciena Company), discusses key Mobile World Congress trends including AI-driven infrastructure for network automation and digital twin technology for network simulation. He emphasizes how service providers are adopting data management layers while shifting toward cloud-native environments, highlighting the importance of building comprehensive ecosystems that unite network, OSS, and BSS players with developer communities.
Intelligent Automation for NaaS
- Blue Planet, a Ciena company, deploys NaaS across network segments built on three core aspects.
- Those aspects are intent-based declarative orchestration, dynamic inventory capability, and AI-driven operations and assurance.
Abstract
Gabriele Di Piazza, Vice President of Products, Alliances & Architectures at Blue Planet, a Ciena Company, discusses the implementation of Network as a Service (NaaS) across various network segments, highlighting three core aspects: intent-based declarative orchestration, dynamic inventory capability, and AI-driven operations and assurance.
Intelligent Automation for NaaS (Extended Cut)
- Blue Planet says NaaS tackles carrier challenges through automated service creation and delivery.
- Core components include intent-based orchestration and AI-driven operations, with carriers drawn to on-demand services and new business models.
Abstract
In this Extended Cut video, Gabriele Di Piazza, Vice President of Products, Alliances & Architectures at Blue Planet (a Ciena Company), discusses how Network as a Service (NaaS) addresses key challenges faced by carriers through automated service creation and delivery. He highlights the core components of NaaS, including intent-based orchestration and AI-driven operations, while emphasizing the growing carrier interest in NaaS for its ability to enable quick, on-demand services and new business models.