All Foundries

Isometric blue-and-white model of an energy and logistics network with a docked cargo ship, solar panels, factories, office buildings, pipes, trucks, workers, and stacked materials.

商品管理と取引

データに基づくインサイトと、セキュアで機動性の高いプラットフォームにより、グローバルな商取引を支えるトレーディングエコシステムを変革します。

Isometric illustration of a bright modern office with glass meeting rooms, people working at desks, large data dashboards, presentation screens, plants, and studio lights.

顧客とマーケティング戦略

パーソナライズされたつながりある体験を通じて顧客エンゲージメントを再構築し、信頼と長期的な価値を築きます。

Isometric 3D smart city model with white-blue buildings, cranes, power grids, map pins, and people using tablets around connected infrastructure platforms.

デジタルエンジニアリング

アイデアをスケーラブルなデジタルソリューションへと転換し、デザイン・テクノロジー・エンジニアリングの力で加速させます。

Isometric 3D model of a white-and-blue EV charging station with canopy, office buildings, small cars, delivery van, chargers, planters, and tiny people.

ステーション・スタジオ

デジタルイノベーションでモビリティハブを再定義し、移動中の人々と企業に、よりスマートでサステナブルな体験を創出します。

Isometric 3D logistics campus with white modern warehouses, blue-green accents, workers, delivery vans, a loading dock, and stacked shipping containers.

サプライチェーン＆インダストリー5.0

変化を予測し、目的を持って効率性を実現する、強靭で知的な供給ネットワークを構築します。

White-and-blue sustainable campus with solar panels, a wind turbine, EV charging stations, loading dock trucks, trees, and small groups of people.

サステナビリティ

責任あるイノベーションを推進し、組織がネットゼロ目標を達成し、将来の世代に良い影響をもたらすよう応援します。

Isometric smart factory scene with white buildings, robotic arms on assembly lines, drones, autonomous carts, workers, control screens, and a fenced power substation connected by blue paths.

Physical AI

Physical AI gives machines, robots and physical operations the ability to perceive their environment, decide what matters and act in real time. Factories, plants, stores and infrastructure become systems able to sense conditions, learn from them and improve on their own, closing the gap between the physical and the digital world.

Isometric 3D smart infrastructure scene with white roads and buildings, blue data lines linking control rooms, vans, a rail crossing, drone, workers, and trees.

Next-Gen Infrastructure

From networks as infrastructure to connected platforms that enable critical, autonomous and intelligent operations.

AGV Simulation and Path Optimization

An AGV fleet runs smoothly until a pallet blocks an aisle or a new mission arrives mid-route. NTT DATA built a digital twin in NVIDIA Isaac Sim where LiDAR and cameras detect obstacles, NVIDIA cuOpt recalculates paths without the blocked segments, and a simulated MES/WMS creates and assigns missions with no manual scheduling.

AGV Simulation and Path Optimization

Smart Robotics for Data Center Automation

Data centers depend on skilled staff to read meters, check lamps and notice odd appearances or strange odors, and those people are getting harder to find. NTT DATA put autonomous patrol robots with cameras and sensors on these routine rounds, which used to take skilled workers 1 to 2 hours every day.

Smart Robotics for Data Center Automation

お問い合わせ

Smart Robotics for Data Center Automation

Daily inspection time: 1-2 hours

Routine rounds moved from skilled workers to robots.

Inspection scope: Meters, lamps and anomalies

Cameras and sensors cover the daily checklist.

Work style: Remote

Specialists follow inspection results away from the site.

Expert know-how: Turned into data

Experience from the field becomes information the team visualizes.

Smart Robotics for Data Center Automation

Stable data center operations with fewer skilled hands on routine checks

目的

Save labor in equipment management and run inspections more efficiently with digital technology.

機会

Robots take over the repetitive rounds, and expert knowledge becomes data the whole team uses.

A purchasing cycle built on manual work

Invoices passed through many hands. The team spent hours on tasks a system completes in minutes, and managers lacked a clear trail for each purchase.

主な課題

1: Labor shortage. Building management struggles to staff routine operations.

3: Daily manual rounds. Meter readings, lamp checks and visual inspections took 1 to 2 hours every day.

3: An organization built for manual work. Roles and responsibilities were not designed for automation.

4: Knowledge held by individuals. Expert know-how stayed with each worker and was hard to pass on.

解決策

Autonomous patrol robots with cameras and sensors

NTT DATA targeted routine equipment inspection and moved the work to autonomous patrol robots. The work draws on NTT DATA’s operation of one of the three largest data center platforms in the world outside China, and appears in NTT DATA public announcements from 2022 and 2023.

Meter reading

The robot’s cameras read the meters along each inspection route.

Lamp checks

The robot verifies status lamps on equipment panels during the patrol.

Anomaly detection

Cameras and sensors flag abnormal appearances and strange odors.

Data for remote work

Inspection results arrive as data, so specialists review them without walking the floor.

影響

Skilled hours back and expertise on record

Robots reduce the 1 to 2 hours of daily inspection work, and specialists move to higher-value tasks. Remote checks over secure networks prepare the operation for IOWN, and fewer site visits support the energy goals of next-generation data centers. The know-how of skilled workers becomes visible through data.

ドラッグ