How NTT East Is Advancing AI‑Driven Network Operations in a Private Environment

Delivering stable communications—day and night, in normal conditions and during disasters—demands rapid, precise responses to an enormous range of potential issues. Equipment failures, environmental disruptions, and unforeseen events can occur at any time, making purely manual or routine system‑based operations increasingly impractical.

Recognizing these limitations, NTT East has turned to generative AI as a catalyst for operational transformation. Recent advances in AI have introduced a new paradigm: AI agents that can be entrusted with tasks previously handled by human operators. By delegating routine investigation and response activities to AI agents, NTT East aims to streamline operations while maintaining the high communication quality its customers depend on.

Why AI Agents Matter in Network Operations

In telecommunications, response speed is critical. Access lines must remain stable regardless of issues occurring elsewhere on the internet, and any degradation in quality requires immediate attention. AI agents, capable of autonomous exploration and real‑time decision‑making, offer a way to continuously monitor and respond to issues that would otherwise overwhelm manual teams.

NTT East believes AI achieves its greatest impact when deployed as agents—systems that combine an AI model, clear instructions, and trusted data. As AI adoption accelerates, effective data management becomes increasingly important, forming the backbone that allows these agents to operate safely and reliably.

“A new way to use AI agents has emerged: delegating work to them. By entrusting tasks that were previously done manually to AI agents, we believe we can streamline operations in the telecommunications industry,” says Shota Takano, Manager, Innovation and Technology at NTT East.

Enterprise‑Grade Data Management with EDB PG AI Factory

To support this vision, NTT East adopted EDB PG AI Factory, which enables centralized management of the three critical elements required for AI agents: models, instructions, and data. Built on EDB’s enterprise‑grade Postgres expertise, the platform provides confidence in how sensitive data is handled—an essential requirement for telecommunications providers operating critical national infrastructure.

Deploying generative AI agents in private environments further reduces regulatory and operational constraints, but it also requires deep expertise across hardware, software, and applications. In this context, NTT East valued EDB’s ability to provide not just products, but hands-on consulting and engineering collaboration.

A Trusted Partnership for a Sovereign AI Era

Introducing a new class of AI‑driven technology came with understandable uncertainty. According to NTT East, EDB’s support played a crucial role in overcoming those concerns. Beyond rapid QA responses, the team benefited from resource‑aware configuration tailored to NTT East’s unique environment, troubleshooting assistance, and open consideration of development requests.

Looking ahead, NTT East anticipates an era in which organizations differentiate themselves not just by building AI agents, but by how effectively they coordinate and manage agents developed by multiple parties. Models such as tsuzumi2—lightweight, high‑performance, and optimized for Japanese language response—are especially well‑suited for field operations where fast response and massive scalability are essential.

As reliable AI agents take on more operational tasks, NTT East expects its teams to be freed from repetitive work, allowing them to focus on higher‑value development and, ultimately, on delivering better services to customers and communities.