Foundations of the Global AI Center of Excellence

Recognizing the world’s accelerating shift toward artificial intelligence, Hitachi invested in AI capabilities early. The company empowered its business units to explore, deploy, and operationalize AI solutions that could accelerate specific business functions. This approach enabled teams closest to the work to apply AI where it delivered immediate, tangible value.

Over time, these efforts resulted in a growing portfolio of AI-driven solutions across Hitachi’s businesses and industries. As adoption expanded, the opportunity evolved: to continue enabling innovation within individual business units while also bringing greater cohesion, shared direction, and scale to these activities—both internally and in how Hitachi supports its clients.

It is within this context that Hitachi established the Global AI Center of Excellence (COE). The purpose of the COE is to accelerate AI adoption further by acting as an advisory and facilitating body. The COE helps business units and clients leverage Hitachi’s full AI capabilities, align initiatives with enterprise goals, and translate experimentation into sustained impact.

The Global AI COE brings together expertise from across Hitachi to recommend, guide, and support AI implementation. Its role is to enable scale by ensuring that successful approaches can be reused, investments align with strategic priorities, and AI initiatives deliver measurable value as they grow.

Core Focus Areas of the Hitachi Global AI COE

The Hitachi Global AI COE is the collaboration of different business units and different expertises to recommend and guide AI implementation. Activities they support include:

1. AI Strategy, Advisory, and Alignment

The Global AI COE provides strategic guidance and a shared point of view to ensure AI initiatives are aligned with Hitachi’s enterprise priorities and client objectives.

• Brings AI expertise to business units, clients, and sales teams
• Provides an AI point of view and advises stakeholders on AI adoption
• Helps align AI use cases with company and business-unit goals

2. AI Transformation, Adoption, and Change Management

The COE supports organizations through the AI transformation journey, focusing on adoption, organizational readiness, and sustained impact.

• Supports AI transformation initiatives for clients and internal teams
• Guides change management and adoption strategies
• Accelerates internal AI adoption across Hitachi

3. AI Solution Scoping and Architecture

To translate strategy into execution, the COE supports the definition and design of AI solutions, including advanced agent-based systems.

• Scopes AI solutions and provides architectural recommendations
• Captures requirements for AI agents to be created
• Provides resources to support AI initiatives when needed

4. Value Realization, Measurement, and Investment

The COE ensures AI initiatives are grounded in measurable outcomes and supported by disciplined investment decisions.

• Calculates return on investment (ROI) and defines success metrics
• Provides funding for selected AI projects
• Performs research and competitive analysis in the AI space

5. Enablement, Reuse, and Enterprise Capability Building

A core role of the COE is to build long-term enterprise capability through reuse, skill development, and shared assets.

• Builds reusable AI assets and agents
• Provides AI training across the organization
• Supports and socializes Hitachi’s AI solutions and capabilities

HMAX: Advancing Physical and Agentic AI Across Industries

One of the clearest expressions of this enterprise AI strategy is Hitachi’s development of HMAX—an industry-specific solution designed to transform operations across Manufacturing, Rail, and Energy.

HMAX utilizes advanced Physical AI (AI integrated with physical assets) and Agentic AI to:

• Boost reliability and safety: HMAX provides real-time, immediate detection of equipment anomalies and failure prediction, substantially reducing catastrophic downtime.
• Optimize operations: Intelligently automates maintenance workflows, ensuring optimal resource deployment and driving efficiency gains that translate directly into reduced operating costs.

This strategic development is key to reinforcing infrastructure reliability for the future.

HMAX applies these capabilities across rail, energy, and industrial contexts, adapting Physical AI and Agentic AI to the distinct demands of each domain.

HMAX Mobility: Railway Transformation

Hitachi designed and implemented an end-to-end mechanized solution, which replaced a manual process of identifying train defects.

An equipment installed at a railroad depot automatically collects data on the current condition of trains.

The data collection system provides video data to the client’s ML models, which are trained to detect defects before they lead to train breakdowns. It also helps reduce repair costs by avoiding unnecessary maintenance on components that are less worn than expected.

HMAX Energy: Grid & Renewables

HMAX Energy focuses on maximizing uptime and optimizing the performance of power grids and renewable energy sites. HMAX can reduce on-site inspection time by up to 35% while significantly minimizing unexpected downtime. By leveraging Digital Twin technology, they can reduce incident response time by 90%, contributing to greater energy security and stable grid performance.

HMAX Industry: Smart Buildings & Factories

In industrial settings, HMAX focuses on Physical AI to solve labor shortages and optimize complex building environments. It uses vision-language models to monitor building safety and comfort. By reacting to real-time inputs, it optimizes energy use while improving the wellbeing of its occupants. In factory settings, Hitachi has trialed Agentic AI (autonomous AI agents) that can diagnose industrial equipment failures through a conversational interface. This allows frontline workers to receive precise, real-time maintenance information, thereby reducing the need for highly specialized on-site experts.

Responsible AI, Grounded in Hitachi’s Values

Hitachi believes in the power of time well spent—using technology to liberate people from low-value tasks so they can focus on work that drives organizational growth and personal fulfillment. This commitment guides Hitachi’s approach to AI adoption, ensuring progress is achieved responsibly, ethically, and with a long-term perspective.

The Global AI Center of Excellence (COE) plays a critical role in translating Hitachi’s foundational values—Harmony, Sincerity, and Pioneering Spirit—into the digital domain. The COE shapes and scales Hitachi’s global AI capabilities to ensure innovation is pursued responsibly across business units.

In practice, this means:

• Exploring the AI Frontier by identifying high-impact opportunities in areas such as Physical AI and Industrial AI
• Bridging Technology and Society by directing AI applications toward meaningful societal and sustainability challenges
• Reinforcing Legacy by embedding ethics, transparency, and long-term impact into every stage of AI adoption

Conclusion: Translating Values Into Enterprise AI Impact

Through its advisory and enablement model, the Global AI COE supports business units at every stage of their AI transformation journeys. This includes helping teams articulate long-term AI visions, define phased strategies, identify high-ROI use cases, and ensure solutions are adopted effectively through change management and skill development.

By providing shared assets, reusable frameworks, governance models, and training, the COE enables teams to operate independently while remaining aligned with enterprise standards. In doing so, the COE acts as both bridge and catalyst—connecting business units, clients, and communities to the full potential of AI.

Together, these efforts ensure that AI adoption at Hitachi delivers measurable value today while honoring the company’s legacy and shaping a future where technology truly serves humanity.