Engineer Whatβs
Next With AWS
Modernize critical systems, scale trusted AI and run resilient operations with AWS and Hitachi Digital Services. We combine AWS cloud capabilities with Hitachiβs deep industry knowledge and advanced product engineering, systems integration and managed operations capabilities to help enterprises migrate faster, modernize intelligently β and turn complex technology investments into sustained business value.
Partner Credentials
Validated AWS Expertise for Complex Transformation
Hitachi Digital Services combines AWS competencies, service validations and delivery experience to support enterprise transformation across technology domains and regulated industries.
Explore Hitachi Digital Services on AWS Partner Network
Engineer Always-On AWS Operations
The Hitachi Application Reliability Centre (HARC) combines Site Reliability Engineering, automation, observability and FinOps to continuously improve AWS workload resilience, performance and cost control.
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Engineer Reliability
Define service-level objectives, error budgets and engineering practices that align AWS operations with measurable performance outcomes -
Predict Operational Issues
Apply artificial intelligence and automation to detect anomalies, correlate events and address issues before they disrupt services -
Accelerate Resolution
Automate incident response, root-cause analysis and remediation to reduce operational noise and restore services faster
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Improve Visibility
Standardize monitoring and dashboards to provide real-time insight across applications, infrastructure and hybrid cloud environments -
Optimize Cloud Spending
Integrate FinOps into everyday operations to identify anomalies, rightsize resources and align AWS costs with business priorities -
Build Lasting Resilience
Apply testing, recovery frameworks and self-healing capabilities to strengthen availability across regions and failure scenarios
Turn Intent into Outcomes Faster
Hitachi Forward-Deployed Engineers bring deep domain knowledge, connecting strategic intent, AI-accelerated execution and production operations to customer environments β delivering secure, reliable software outcomes at enterprise speed.
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Start With Business Outcomes
Reframe software delivery around measurable value, connecting build, run and continuous improvement within one outcome-led system -
Capture High-Fidelity Context
Translate business priorities, operating constraints and risk requirements into usable engineering context before autonomous execution begins -
Accelerate Production Delivery
Use agentic engineering and GlobalLogic VelocityAIβs AI-driven SDLC to move ideas into deployable software while maintaining production readiness
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Apply Forward-Deployed Engineering
Embed engineers in customer environments to build against real data, governance requirements and operating conditions from day one -
Engineer Trust Throughout
Apply reliability, security, compliance and cost controls across development and production operations through the context-aware engineering fabric -
Create Compounding Intelligence
Feed operational signals and outcomes into reusable patterns so each release strengthens performance, safeguards and institutional knowledge
Modernize Oracle Without Losing Momentum
Modernize Oracle applications on AWS with structured planning, proven migration methods and lifecycle services that improve agility, resilience, security and cost efficiency.
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Assess the Environment
Evaluate Oracle applications, infrastructure, dependencies and cloud readiness to establish a practical transformation roadmap -
Reduce Migration Risk
Apply proven methods, tools and industry accelerators to simplify deployment and limit disruption to critical operations -
Strengthen Security
Embed security, risk management and compliance controls across Oracle applications and supporting AWS environments
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Connect Enterprise Data
Integrate information technology and operational technology data to improve visibility, decision-making and business performance -
Modernize for Growth
Upgrade, redesign or migrate applications to create a more scalable foundation for innovation and changing business requirements -
Support Ongoing Performance
Extend transformation through application management, optimization, training and operational support
Make SAP Transformation More Manageable
Modernize SAP on AWS through assessment, architecture, migration and managed services that improve agility while protecting business continuity and existing investments.
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Assess the Full Estate
Inventory SAP and connected applications to identify cloud readiness, dependencies and the right AWS environment for each workload -
Build the Migration Roadmap
Translate workshop findings into an architecture, implementation plan and timeline aligned with business priorities -
Simplify Complex Migrations
Use Hitachi Digital Services and AWS tools, methods and accelerators to modernize SAP workloads with less disruption
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Modernize SAP Capabilities
Support SAP S/4HANA, Business Technology Platform, Analytics Cloud and Internet of Things adoption on AWS -
Prepare People for Change
Apply structured change management to encourage adoption of new processes, systems and cloud operating models -
Sustain Performance
Transition smoothly into application maintenance, helpdesk support, training and continuous enhancement services
Move From Uncertainty to Action
Sprint2Cloudβs software analytics tools provide real-time insights across your apps, exposing risk and providing a data-driven AWS modernization roadmap that reduces uncertainty, cost and migration effort. Our cloud modernization client engagements deliver 4x faster migrations, a 95% reduction in manual coding, and up to 108% ROI.
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Assess Application Readiness
Analyze applications, dependencies, risks and code to identify realistic migration and modernization opportunities -
Create Target Architectures
Define an appropriate future architecture, migration approach, effort estimate and roadmap for each assessed application -
Reveal Hidden Risks
Produce detailed findings covering application design, code quality, dependencies and areas requiring remediation
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Prioritize Quick Wins
Identify workloads that can move faster while establishing a practical sequence for more complex applications -
Standardize Execution
Apply consistent assessment methods and modernization patterns to improve delivery quality across the application portfolio -
Connect Migration to Operations
Extend the roadmap through secure foundations, migration factories, DevOps automation, HARC and FinOps-led managed services
Scale AI With Trust Built In
AI Compass provides a governed gateway for enterprise AI, helping organizations manage models, policies, safety and cost as adoption expands.
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Apply Responsible AI Policies
Govern AI use through policies designed around responsibility, reliability, observability and operational optimization -
Create a Controlled Gateway
Provide managed access to large language models through industry-standard open and partner application programming interfaces -
Improve Transparency
Establish controls that help teams understand how AI services are accessed, governed and used across the enterprise
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Strengthen AI Safety
Embed policy enforcement to support privacy, fairness, accountability, inclusivity and safe enterprise adoption -
Manage Model Access
Create a consistent control layer across AI models and services rather than managing fragmented point solutions -
Support Responsible Scale
Help teams move from isolated experimentation toward repeatable, governed enterprise AI delivery
Connect Factory Data to Action
Smart Factory Solutions combine AWS with Hitachi Digital Serviceβs industrial data, AI and operational technology expertise to improve production, quality, maintenance and safety.
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Improve Production Performance
Collect, process and visualize shop-floor data to identify bottlenecks, increase throughput and reduce unplanned downtime -
Predict Maintenance Needs
Use Internet of Things data, anomaly detection and predictive analytics to improve equipment availability and control maintenance costs -
Strengthen Product Quality
Detect discrepancies, accelerate root-cause analysis and improve traceability, first-pass yield and cost of quality
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Increase Supply-Chain Visibility
Analyze operational data and scenarios to improve inventory decisions, responsiveness and resilience across the partner network -
Create Safer Workplaces
Combine video, 3D lidar, artificial intelligence and analytics to identify risks and strengthen safety processes -
Accelerate Measurable Value
Apply AWS-based Industry Cloud accelerators and Hitachi manufacturing experience to prioritize practical, outcome-led use cases
Accelerate Energy Data Innovation
Express for Energy Data Insights provides reliable OSDU Data Platform access through flexible AWS-based services that simplify development, testing and deployment.
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Remove Platform Complexity
Avoid the burden of installing, configuring and maintaining an OSDU Data Platform environment internally -
Choose Flexible Delivery
Access dedicated or multitenant environments through Software-as-a-Service or Platform-as-a-Service models -
Accelerate Application Readiness
Develop, test and deploy applications against supported OSDU Data Platform application programming interfaces
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Keep Releases Current
Access maintained platform instances and new OSDU Forum milestone releases as they become available -
Improve Operational Visibility
Manage users, query platform data and monitor service health through a centralized interface and dashboard -
Support Continuous Innovation
Use test datasets and repeatable processes to move energy applications from proof of concept into production faster
Inspect Critical Assets Faster and Safer
We use AI-driven image analytics from Hitachi Vantara to automate asset identification and defect detection, helping asset-intensive organizations improve safety, accuracy and maintenance decisions.
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Automate Asset Inspection
Classify assets, identify defects and assess severity through prebuilt machine learning models and scalable image processing -
Protect Field Workers
Reduce reliance on dangerous inspection methods such as climbing transmission towers or working from helicopters -
Prioritize Maintenance
Provide real-time indications of moderate and severe defects to support risk-based maintenance planning and resource allocation
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Improve Inspection Accuracy
Use human-in-the-loop capabilities to incorporate expert knowledge and continuously strengthen model performance -
Connect Existing Systems
Integrate with field service management and enterprise asset management platforms without creating new information silos -
Increase Operational Scale
Analyze thousands of images rapidly to support more frequent inspections and faster responses across extensive asset networks
Intelligent, Adaptive Factory Performance
Smart Manufacturing combines MES/MOM, industrial AI, digital twins and connected data to improve throughput, quality, uptime and sustainability across factories.
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Enable Real-Time Control
Use modern Manufacturing Execution Systems and Manufacturing Operations Management to gain live visibility across production, materials and quality -
Automate Quality Inspection
Apply industrial AI and computer vision to detect defects, reduce inspection effort and improve first-pass yield -
Predict Operational Performance
Use digital twins and AI models to anticipate bottlenecks, stabilize processes and optimize throughput and energy consumption
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Integrate Factory Operations
Connect engineering, enterprise and operational technology systems to support faster decisions and fewer manual handoffs -
Scale Consistent Execution
Deploy standardized data, Internet of Things and manufacturing architectures across plants without redesigning every implementation -
Improve Sustainability
Reduce energy use, emissions and resource waste through connected industrial data and AI-driven optimization
How We Work
From Strategy to Reliable AWS Value
Access connected advisory, engineering, migration and managed services that take AWS investments from initial priorities
through modernization, operation and continuous improvement.
Industrial Depth. Cloud Value Engineered to Last.
Turn AWS investments into reliable business outcomes through industry experience, engineering depth and connected delivery across build and run.
- Deep IT, OT and enterprise AI expertise
- AWS transformation from assessment through migration and managed operations
- GlobalLogic product engineering and AI-accelerated software delivery
- Integration across cloud, data, enterprise platforms and industrial environments
- Responsible AI, security, governance and operational control built into delivery
- HARC-led reliability, observability, automation and cost optimization
FEATURED INSIGHTS
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