Revolutionizing Data Centers with Digital Twins and Agentic AI

The explosive growth of Generative AI and ever-increasing digitalization has created a monumental demand for computing power and storage. This presents data centers with significant market challenges: securing land and power, optimizing energy consumption, and achieving critical decarbonization targets. This adds a significant level of complexity to the entire ecosystem of data centers.

At GlobalLogic, a Hitachi Group company, we are experts in converging the physical (OT) and digital (IT) worlds. As industry leaders in Generative, Agentic, and Physical AI, we leverage our proprietary VelocityAI capabilities to go beyond traditional IT/OT convergence. We apply this expertise to transform data centers into truly intelligent enterprises — systems that not only monitor and predict, but sense, decide, and act continuously. By embedding agentic AI capabilities into data center management systems, we enable intelligent, autonomous decision-making at both operational and strategic levels of data center management.

Collaborating with other Hitachi Group companies under a shared vision, “Think beyond data center,” we leverage AI, digital twins, and agentic intelligence to help data center operators enhance scalability, reduce operational complexity, improve compliance, and unlock new efficiencies. These capabilities enable data centers to meet unprecedented demand despite growing resource constraints, while advancing sustainability and resilience.

Beyond Traditional DCIM: From Monitoring to Autonomous Systems

Conventional Data Center Infrastructure Management (DCIM) systems are inherently reactive. They respond to workload spikes after they occur and typically connect only IT infrastructure with facility management. In an environment of rising system complexity, this is no longer sufficient.

GlobalLogic and Hitachi take a fundamentally different approach: we evolve DCIM into a living, adaptive system, powered by digital twins and governed by agentic AI.

We connect all critical components of the data center ecosystem, including:

• Energy supply
• Battery storage
• Cooling systems
• Facility management
• IT and security infrastructure

By aggregating metadata and telemetry from every subsystem, we train an AI-powered digital twin that represents the full cyber-physical state of the data center in real time.

On top of this foundation, agentic AI enables autonomous value loops: specialized agents continuously observe system signals, reason against operational goals and policies, and take coordinated action — with humans retaining strategic oversight and control. This transforms DCIM from a dashboard into an intelligent execution layer and co-pilot that supports operators in real time — augmenting human decision-making, recommending optimal actions, and autonomously executing approved workflows for intelligent, resilient operations.

Building Intelligence with AI and Agentic Decision-Making

This integrated digital twin and agentic architecture unlocks advanced capabilities for proactive and resilient data center management:

• Predictive and Autonomous Workload Management : Smart data centers can anticipate workload surges and autonomously prepare for peak demand. Agentic systems coordinate energy supply, battery discharge, and cooling strategies ahead of time, optimizing power usage, preventing waste, and extending asset lifespan. Instead of static rules, agents continuously adapt decisions based on real-time conditions and learned behavior.
• Real-Time, Data-Driven Decisions at Scale : AI excels at pattern recognition, but agentic AI excels at orchestration. Agents continuously analyze telemetry across IT, facilities, and energy systems, enabling faster pivots, better planning, and fewer costly errors. Decision-making shifts from manual coordination to governed, machine-scale execution — essential as data center complexity outpaces human orchestration.
• Predictive & Prescriptive Maintenance : Smart data centers move beyond reactive issue resolution. AI-driven predictive and prescriptive maintenance agents anticipate failures, estimate asset health, and recommend or initiate corrective actions within defined policy guardrails. This approach can reduce maintenance costs by up to 10%, cut planning time by 20–50%, and increase equipment uptime by 20%. GlobalLogic has already implemented such solutions for global leaders in power technologies, identifying failure modes and calculating asset health indices to prevent downtime and protect critical KPIs.

Enabling Scalability and Resilience Through Simulation and Agentic Loops

Digital twin technology becomes even more powerful when combined with agentic AI. Together, they allow data centers to simulate, stress-test, and continuously optimize operations before changes are applied in the real world.

Key use cases include:

• Optimizing and automating day-to-day data center operations
• Planning future growth based on real usage patterns
• Preventing bottlenecks by anticipating computational demand
• Simulating disaster scenarios to validate resilience and recovery strategies

Agents operate inside these digital twins, evaluating alternative actions, learning from outcomes, and feeding insights back into the system. This creates a closed-loop model where every operational decision improves future performance.

Sustainability as an Autonomous System Objective

Sustainability is no longer a reporting exercise — it is a continuous optimization challenge.

As a Hitachi Group company, GlobalLogic supports Hitachi’s commitment to a carbon-neutral society by embedding sustainability goals directly into the agentic runtime. Digital twins provide visibility into energy flows and emissions, while agents actively optimize operations to reduce carbon impact.

Sustainability use cases include:

• Continuous carbon footprint tracking
• Cooling Efficiency Ratio optimization
• Total heat load management
• Energy-aware workload orchestration

By treating sustainability targets as executable policies rather than static metrics, data centers can dynamically balance performance, cost, and environmental impact.

Shaping the Data Centers of Tomorrow, Together

The future of data centers is intelligent, adaptive, and sustainable. By bridging OT and IT, connecting every subsystem, and combining digital twins with agentic AI, GlobalLogic — as part of the Hitachi Group — is redefining how data centers operate at scale.

This approach delivers measurable outcomes: higher uptime, lower energy waste, improved compliance, reduced costs, and greater resilience. More importantly, it transforms data centers from complex infrastructure stacks into governed, self-improving systems capable of evolving with demand.

We are committed to helping our clients not just meet the challenges of tomorrow, but thrive in a world where data centers must continuously learn, adapt, and act.

Let’s engineer impact together. Contact us to get started.