All Foundries

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。

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。

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。

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。

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。

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。

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.

Next-Generation Infrastructure

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

Utility engineers testing industrial network and protection equipment in a controlled commissioning workspace beside a digital substation.

OT Firewall Validation for Digital Substations

In a digital substation, a firewall rule is never just a cybersecurity setting. It can determine whether protection, control, engineering and supervisory systems continue to communicate as intended. This case establishes a disciplined validation approach that tests security policy, segmentation and operational communication flows before changes are accepted in live operations.

OT Firewall Validation for Digital Substations

Transmission cybersecurity engineers test protection, communications and monitoring equipment inside a substation control room while the live switchyard remains visible through the doorway.

OT Cybersecurity Monitoring for Transmission Networks

Transmission networks cannot trade operational availability for cyber visibility. This engagement combined OT event monitoring, centralized security analytics, industrial network testing, vulnerability assessment and incident response preparation to give transmission stakeholders a stronger basis for understanding cyber activity, validating controls and protecting service continuity.

OT Cybersecurity Monitoring for Transmission Networks

お問い合わせ

Industrial robotics environment connecting multiple robotic systems, control hardware and cloud-based monitoring interfaces through a unified platform, enabling interoperability, centralized orchestration and scalable robot management across manufacturing operations.

心を動かす会話

Robotics Cloud Platform

A flexible robotics platform enables manufacturers to control robotic arms from different suppliers, simulate movements with digital twins and develop AI-enabled capabilities without depending on proprietary robot-specific systems.

会議のスケジューリング

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Manufacturer-specific robot systems make automation harder to scale across mixed production environments

WHY THIS ROBOTICS CLOUD PLATFORM CHALLENGE?

Why multi-vendor automation requires a more flexible control model

Manufacturing automation is increasing, but organizations often work with robots from different suppliers that require specialized product knowledge and proprietary control approaches. This fragmentation makes it harder to select, configure and extend robotic capabilities consistently, creating demand for an agnostic platform that can work across different robot types.

主なメリット

More flexible control across industrial robotics

A common robotics environment reduces dependence on manufacturer-specific systems while supporting safer testing, broader robot choice and more adaptable automation.

Greater robot flexibility

An agnostic control approach allows manufacturers to work with robotic arms from different suppliers without relying on detailed knowledge of each proprietary system.

Faster predeployment validation

Digital twin simulation enables robot movements and production-line behavior to be tested in controlled conditions before they are introduced into operations.

Better technology selection

Manufacturers can evaluate and choose robots according to production requirements rather than being constrained by a specific supplier or proprietary environment.

More adaptable automation

AI-based movement learning and environmental perception support the development of additional robotic capabilities as production requirements evolve.

NTTデータのサポート体制は？

Provide vendor-agnostic robot control

NTT DATA creates a common platform for controlling robotic arms from different manufacturers through a consistent operational environment.

Industrial robotics environment using a common control platform to coordinate different robotic systems through a unified interface, enabling vendor-agnostic robot management, interoperability and more flexible automation across manufacturing operations.

Simulate robotic movements

Digital twins reproduce robot behavior so movements and production-line interactions can be supervised, simulated and tested before deployment.Test capabilities in controlled environments

Industrial robot operating alongside a digital twin simulation that mirrors its movements, enabling teams to test robotic trajectories, validate behavior and optimize automation before deployment in the physical production environment.

Test capabilities in controlled environments

Additional robot functions can be developed and validated virtually before being introduced into live manufacturing operations.

Industrial robot being tested inside a controlled validation cell with machine vision, safety systems and simulation tools, allowing teams to verify robotic capabilities, movements and performance before deployment in live manufacturing operations.

Apply AI to robotic behavior

AI algorithms support movement learning and environmental perception using information collected from cameras and other sensors.

AI-enabled industrial robot adapting its handling and inspection behavior using machine vision and real-time production data, improving flexibility, precision and autonomous decision-making across manufacturing operations.

Assign robots to production tasks

Users can select the appropriate robot and allocate tasks within the production chain according to manufacturing requirements.

Industrial robotics platform assigning different robots to handling, assembly and inspection tasks across a manufacturing environment, enabling dynamic task allocation, coordinated automation and more efficient use of robotic resources.

Industrial robotics environment coordinating multiple robotic systems across production cells through a unified control platform, enabling centralized orchestration, flexible task allocation and scalable automation across manufacturing operations.

実証済みの効果

A common robotics environment connects simulation, AI and multi-vendor control to make industrial automation easier to test, select and operate

重要な結果

Operational gains from vendor-agnostic robotics control

The demonstrated approach provides qualitative improvements in robot selection, predeployment testing, production efficiency and automation flexibility across mixed manufacturing environments.

Broader robot choice

Manufacturers can select robotic systems that best fit production needs without limiting deployment decisions to a single supplier or proprietary control environment.

Safer production testing

Digital twin simulation allows movements across the production line to be evaluated before operation, reducing dependence on live testing for initial validation.

Reduced production costs

Predeployment simulation and greater freedom in robot selection can help optimize implementation time and costs across industrial automation initiatives.

Stronger competitiveness

Combining digital twins with a flexible robotics control platform supports more adaptable production automation and continued development of robotic capabilities.

Build a more flexible robotics control environment

Use vendor-agnostic control, digital twin simulation and AI-enabled robotics to test, select and deploy automation according to changing manufacturing needs.

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