Communications Society

As organizations spread workloads across AWS, Azure, GCP, and private clouds, network orchestration has become one of the hardest parts of multi-cloud operations. Static rules and manual troubleshooting cannot keep up with shifting traffic, policy requirements, and failures that span multiple providers.

This talk explores how AI can drive network orchestration in multi-cloud environments—using telemetry, intent, and closed-loop automation to optimize routing, enforce policies, detect anomalies, and recover from faults. We will discuss a practical architecture that connects observability, AI decisioning, and programmable network control, along with real-world challenges such as data quality, explainability, and safe automation.

Attendees will leave with a clear view of where AI adds value in cloud communications networks, what an AI-driven orchestration pipeline looks like, and key design principles for building resilient, adaptive multi-cloud connectivity.

Presentation Description:

As organizations distribute workloads across multiple cloud providers, network orchestration has become increasingly complex. Static policies and manual operations struggle to keep pace with dynamic traffic patterns, latency constraints, and cross-cloud failures. This talk explores how AI can enable intelligent, closed-loop network orchestration in multi-cloud environments—improving path selection, policy enforcement, anomaly detection, and automated recovery. Attendees will learn a practical architecture connecting telemetry, AI decisioning, and programmable network control, along with key challenges such as data quality, explainability, and safe automation.

Agenda:

Multi-cloud networking is complex, dynamic, and hard to manage by hand. This talk explores how AI can automate path selection, policy enforcement, and fault recovery across clouds—improving reliability, latency, and cost while keeping communications networks programmable and resilient.

Biography:

Sudheer Amgothu is a Principal Cloud Operations Engineer at Pegasystems and Chair of the IEEE Communications Society (ComSoc) Boston Chapter. He is an IEEE Senior Member with deep expertise in cloud infrastructure, Kubernetes, DevOps, and multi-cloud architecture. Sudheer has authored Mastering DevOps with Kubernetes and Cloud: A Practical Guide, presented research at IEEE conferences on AI-driven systems, and serves as a peer reviewer for IEEE journals. His work focuses on building resilient, automated cloud platforms and advancing AI-enabled operations for large-scale communications and enterprise systems.