Cloud FAQs

Cloud transformation spans strategy, modernization, governance, AI and industry platforms. This page provides clear answers on the core capabilities of enterprise cloud. To help leaders navigate complex transformation decisions with confidence, each section focuses on a specific domain — from cloud foundations and hyperscaler ecosystems to sector-specific solutions.

You can explore all the following topic areas shown below or jump straight to those of particular interest, using the links below or the FAQ bar above.

Cloud strategy and innovationCloud modernization and migrationCloud value and governanceSecure and sovereign cloudAI in the cloudHyperscaler ecosystemsAmazon Web Services (AWS) cloudMicrosoft Azure cloudGoogle CloudIndustry cloudsBanking cloudInsurance cloud

Innovation

Cloud strategy and innovation

Cloud strategy defines how organizations plan, govern and evolve their cloud environments. It connects operating models, governance and innovation to long-term business outcomes. 

What is cloud-led innovation?

Cloud-led innovation means using cloud not just as infrastructure but also as the foundation for continuous business reinvention. NTT DATA helps organizations modernize legacy environments and build new digital capabilities that connect data, people and AI throughout the enterprise. When cloud becomes the operating fabric, ideas can move from prototype to production faster, risks are contained and innovation is measurable. It’s about aligning technology investment with business outcomes to improve resilience, customer experience and speed to market.

Explore NTT DATA’s Cloud services.

See also our FAQs on 'Cloud modernization and migration'.

 Why are cloud platforms important for enterprise AI adoption?

Cloud platforms provide the scalable, secure foundations for adopting AI in a practical, business-first way. As organizations move beyond basic cloud adoption, they increasingly use cloud platforms to modernize operations, improve decision-making and unlock business value from data. Cloud simplifies access to computing, storage and data while embedding governance, security and compliance into day-to-day operations. This allows organizations to experiment with and scale AI capabilities such as analytics, automation and decision-making support without introducing undue risk or operational complexity. As a result, cloud and AI initiatives tend to progress together. Cloud also enables the speed, flexibility and reliability required to operationalize AI, while AI helps organizations extract greater value from their cloud investments by improving productivity, insight and customer experience.

Read more about NTT DATA’s Cloud Platforms.

See also our FAQs on 'AI in the cloud'.

What is the “era of AI” and what does it mean for my organization?

The era of AI marks the point where intelligence becomes an expected layer in every digital process. For leaders, that means shifting focus from isolated pilot projects to enterprise-wide adoption supported by governance and ethics. NTT DATA helps organizations operationalize AI responsibly as they embed it in cloud architectures, workflows and customer interactions. The payoff is agility — decisions informed by real-time insight, experiences tailored at scale and new products created faster. Entering the AI era isn’t about replacing people; it’s about augmenting human capability through trusted data and modern platforms.

Read how NTT DATA is accelerating agentic AI adoption with Google Cloud.

See also our FAQs on 'AI in the cloud'.

How does cloud enable innovation beyond IT modernization?

Cloud modernization removes technical debt; innovation begins when new capabilities appear on top of it. By standardizing infrastructure and automating delivery, organizations can focus on designing new products, services and experiences. NTT DATA helps clients build cloud-native platforms that connect data, AI and ecosystems, enabling continuous experimentation. For example, retailers use cloud analytics to personalize engagement, while manufacturers use IoT data for predictive maintenance. Cloud is the canvas; innovation is what you paint once it's ready.

Get the report: 'Cloud-led innovation in the era of AI'.

See also our FAQs on 'Cloud modernization and migration'.

What are the stages of cloud-led transformation?

There are typically four stages. Adoption: Moving workloads to cloud for flexibility. Modernization: Rearchitecting applications and data to be cloud-native. Optimization: Introducing FinOps and automation for efficiency. Innovation: Combining AI, analytics and automation to create new value. Progress isn’t linear, so organizations may operate in several stages at once.

Explore NTT DATA’s Cloud services.

See also our FAQs on 'Cloud modernization and migration'.

How can I turn cloud adoption into measurable business outcomes?

Cloud adoption only delivers value when it improves how the business runs. NTT DATA connects transformation metrics to financial and operational goals, linking modernization to key performance indicators such as revenue growth, cost efficiency and customer satisfaction. Our outcome-based framework uses FinOps, automation and analytics to track results in real time. This visibility allows executives to adjust strategy continuously and prove ROI across functions. By treating cloud as an operating model, organizations can sustain measurable gains long after migration.

Explore NTT DATA’s Cloud Optimization services.

See also our FAQs on 'Cloud value and governance'.

How do I measure ROI from cloud-led innovation?

Traditional ROI looks at cost savings; modern ROI measures value creation. NTT DATA helps executives build balanced scorecards that include agility, resilience and innovation capacity. Using real-time analytics and FinOps data, we track how cloud investments improve time to market, service quality and employee productivity. The biggest return often comes from opportunities they couldn’t see before modernization — new digital products, better customer engagement and faster decision-making. Measuring ROI this way turns transformation into a growth engine rather than a cost center.

Explore C-suite perspectives on breakthrough cloud success.

See also our FAQs on 'Cloud value and governance'.

Migration

Cloud modernization and migration

Cloud modernization and migration address how legacy systems are transformed and improved in cloud environments. The focus is on risk management, architectural choices and long-term optimization. 

What is cloud modernization?

Cloud modernization means updating legacy systems so they deliver more value in a digital-first world. NTT DATA helps organizations refactor, replatform or rebuild applications so they run efficiently on cloud while supporting data, AI and automation goals. It isn’t only about technology; it’s also about aligning people and processes to move faster and operate smarter. Modernization simplifies architectures, reduces maintenance costs and opens access to innovation services from major hyperscalers. For executives, it turns technology debt into strategic capacity — the ability to test, launch and scale new ideas quickly.

Explore NTT DATA’s Cloud Architecture and Modernization services.

See also our FAQs on 'AI in the cloud'.

Why modernize legacy systems?

Legacy platforms slow transformation. They limit integration, create security risks and make every change expensive. NTT DATA works with clients to modernize incrementally, prioritizing high-value systems first, so that innovation doesn’t pause business operations. Modernized systems are easier to secure, automate and analyze, allowing leaders to reinvest savings in growth. The real reason to modernize is agility: Being able to meet new customer needs and regulatory demands faster than competitors.

Learn how cloud modernization improves agility and resilience.

See also our FAQs on 'Cloud value and governance'.

Cloud migration versus modernization: What’s the difference?

Migration moves workloads to the cloud; modernization improves them. Many organizations lift and shift systems to gain immediate flexibility, then modernize gradually for long-term performance. NTT DATA helps clients plan both together so that early migrations don’t create future rework. We evaluate business goals, data sensitivity and application complexity to decide which workloads need refactoring now and which can migrate as is. The goal is a disruption-free progression from migration to modernization.

Explore the four keys to successful Azure migration.

See also our FAQs on 'Secure and sovereign cloud'.

Rehost versus refactor versus replatform: Which is best?

Each approach fits a different goal. Rehosting moves applications quickly with minimal change and is ideal for fast cost reduction. Replatforming updates components such as databases or middleware for better scalability. Refactoring redesigns code to exploit cloud-native features, including microservices and serverless computing. NTT DATA helps organizations choose based on business impact, not just technical ease. We often use a blended strategy: Quick wins through rehosting while refactoring critical systems for future innovation.

Learn about NTT DATA’s Azure application modernization approach.

See also our FAQs on 'AI in the cloud'.

How do I decide which applications to move first?

Start with systems that deliver visible business value but suffer most from legacy constraints. NTT DATA evaluates business impact and technical complexity to rank applications for migration. Critical yet stable systems may migrate later under stricter governance, while customer-facing digital services often go first. We also consider dependencies such as data flows, security and compliance so nothing breaks mid-journey. A clear prioritization plan helps achieve early wins that fund the next phases of modernization.

Read about NTT DATA’s Cloud Strategy and Transformation services.

See also our FAQs on 'Cloud value and governance'.

What is a cloud landing zone?

A cloud landing zone is the secure, automated environment where new workloads are deployed. It sets the rules for identity, network, cost and compliance so teams can build safely. NTT DATA designs landing zones that balance agility with control — preconfigured for governance, monitoring and integration with enterprise directories. This foundation prevents security gaps and speeds up provisioning for every future project. In effect, the landing zone is the runway for all modernization efforts.

Learn more about NTT DATA’s Cloud PlatformsPlatform services.

See also our FAQs on 'Secure and sovereign cloud'.

How long does cloud migration take?

Duration depends on scale, complexity and readiness. Small workloads may move in weeks; enterprise portfolios can take months or years. NTT DATA accelerates timelines through automation, prebuilt templates and agile delivery models proven in large migrations. Our phased approach delivers incremental value rather than a single “big bang” cutover. By modernizing as you migrate, you reduce overall effort and maintain momentum. The key is setting clear milestones for both business and technical success.

Learn about NTT DATA’s Azure application modernization approach.

See also our FAQs on 'Cloud value and governance'.

What are common migration challenges?

Organizations often underestimate the scope of change. Data complexity, legacy integrations and cultural resistance can slow progress. NTT DATA mitigates these risks through detailed assessment, strong program governance and embedded change management. Security and cost control are designed in from the start, supported by FinOps dashboards that track consumption. Our proven “landing zone plus migration factory” model standardizes repeatable steps while adapting to unique business needs. Preparation and transparency turn obstacles into predictable tasks.

Read about NTT DATA’s Cloud Strategy and Transformation services.

See also our FAQs on 'Secure and sovereign cloud'.

What are the business risks of staying on legacy infrastructure?

Legacy systems carry invisible costs — technical debt, compliance exposure and lost opportunities. Security updates become harder, integration limits innovation and talent moves elsewhere. NTT DATA helps organizations quantify these risks by mapping them to financial impact. We then design modernization roadmaps that reduce exposure while improving agility. Staying on legacy may seem safe, but it locks the organization into slower cycles just as markets accelerate. Modernization is ultimately a risk-reduction strategy.

Explore NTT DATA’s Cloud services portfolio.

See also our FAQs on 'Secure and sovereign cloud'.

How does modernization improve agility and security?

Modernized applications use modular architectures and automated pipelines that allow faster updates without compromising security. NTT DATA integrates DevSecOps from design to deployment, embedding controls directly into code and infrastructure. This reduces human error and speeds up compliance checks. Cloud-native security tools provide continuous monitoring while AI detects anomalies in real time. The outcome is a more responsive and secure environment that enables innovation instead of blocking it.

Explore NTT DATA’s Cloud Architecture and Modernization services.

See also our FAQs on 'Secure and sovereign cloud'.

How do I build a modernization roadmap?

A modernization roadmap connects technology upgrades to business priorities. NTT DATA begins with discovery — understanding your current landscape, dependencies and value streams — and then defines phases that balance risk and reward. We identify which workloads to move, refactor or retire, what landing zones are needed and how to track ROI through each sprint. The roadmap also defines change management and skills enablement plans, to make transformation sustainable. With this approach, executives can see clear milestones from first migration to measurable innovation.

Read about NTT DATA’s Cloud Strategy and Transformation services.

See also our FAQs on 'Cloud value and governance'.

How can automation speed up migration?

Automation removes manual bottlenecks that cause cost and risk. NTT DATA uses scripts, templates and orchestration tools to discover assets, create landing zones, move workloads and validate outcomes automatically. Automated testing ensures every migration meets performance and security baselines before cutover. Combined with analytics dashboards, this visibility keeps projects on schedule and stakeholders informed. Organizations that automate typically cut migration effort by up to 40% and gain consistent quality across environments.

Explore NTT DATA’s Cloud Architecture and Modernization services.

See also our FAQs on 'Secure and sovereign cloud'.

How does infrastructure as code reduce risk?

Infrastructure as code (IaC) turns cloud configuration into version-controlled scripts. Instead of manually building servers or networks, teams deploy consistent environments at the click of a button. NTT DATA applies IaC templates across Amazon Web Services, Microsoft Azure and Google Cloud to automatically enforce security policies, cost tags and naming standards. This repeatability eliminates drift between test and production and allows rapid recovery if something fails. IaC is the backbone of secure DevOps, giving organizations the speed of automation with the discipline of compliance.

Learn more about NTT DATA’s Cloud Platform services.

See also our FAQs on 'Secure and sovereign cloud'.

How do DevSecOps practices improve modernization outcomes?

DevSecOps embeds security and compliance checks directly into development pipelines. NTT DATA helps organizations shift security left — testing earlier, fixing faster and releasing continuously without risk. Automated scanning, policy enforcement and change tracking ensure every build meets enterprise standards. This collaboration between development, security and operations teams speeds up delivery and builds trust between IT and the business. Modernization succeeds when governance is invisible yet constant, and DevSecOps makes that possible.

Learn more about DevSecOps in software development.

See also our FAQs on 'Secure and sovereign cloud'.

How do I ensure governance and cost control during migration?

Governance keeps innovation sustainable. NTT DATA implements FinOps frameworks that give finance, IT and business teams a shared view of usage and spending. Dashboards track consumption across providers, highlight anomalies and automate budget alerts. Tagging and policy enforcement ensure accountability without slowing delivery. This transparency allows leaders to reallocate savings to new innovation. Governance is not red tape; it’s how modernization stays efficient and trusted.

Discover NTT DATA’s Cloud Optimization and FinOps services.

See also our FAQs on 'Cloud value and governance'.

How does FinOps help manage spending while modernizing?

FinOps brings financial discipline to variable cloud costs. NTT DATA aligns finance, procurement and engineering teams around shared data so that spending decisions happen in real time. By embedding cost metrics into continuous integration and continuous delivery (CI/CD) pipelines, organizations see the price of every deployment before it runs. This encourages smarter design, not post-project correction. Our managed FinOps service benchmarks usage, rightsizes resources and forecasts spending to turn cloud finance into a continuous improvement loop.

Read about NTT DATA’s Cloud Optimization services.

See also our FAQs on 'Cloud value and governance'.

What key performance indicators (KPIs) measure migration success?

Executives should track more than uptime. Typical KPIs include speed to deploy, incident rate, cost per transaction, user satisfaction and new-feature frequency. NTT DATA helps clients link technical indicators to business outcomes such as revenue growth and customer retention. We create live dashboards using cloud-native analytics so leaders can see performance improvements in real time. The best metric is momentum: The organization’s ability to release updates and capture value faster every quarter.

Explore C-suite perspectives on breakthrough cloud success.

See also our FAQs on 'Cloud value and governance'.

How do I avoid downtime when moving critical systems?

Planning and automation are key. NTT DATA uses replication and blue–green deployment methods to keep services running while migration occurs. We synchronize data in real time and cut over only after validation. Load-balancing and failover designs ensure continuity even if an environment fails. This “no surprises” model has been proven in complex enterprise migrations, from manufacturing to finance. By prioritizing user experience alongside technical goals, organizations protect revenue and reputation during change.

See how NTT DATA delivers business-critical modernization.

See also our FAQs on 'Secure and sovereign cloud'.

How do I maintain business continuity during a large migration?

Continuity depends on governance, testing and communication. NTT DATA establishes a program management office that aligns technical and business leaders, sets clear go or no-go criteria and keeps stakeholders informed. Parallel running and phased cutovers reduce single-point-of-failure risk. Disaster-recovery drills confirm readiness before production switchovers. The combination of automation and collaboration keeps operations stable and employees confident.

Read about NTT DATA’s Cloud Strategy and Transformation services.

See also our FAQs on 'Secure and sovereign cloud'.

What skills or teams do I need for modernization?

Modernization blends technology, finance and change management. Organizations need cloud architects, DevOps engineers, security specialists and FinOps analysts working in one agile governance model. NTT DATA helps clients create blended teams where internal experts partner with our specialists to speed up knowledge transfer. We also run upskilling programs through our Cloud Center of Excellence so clients can sustain innovation long after the project ends. Modernization is most successful when it builds capability, not dependency.

Explore NTT DATA Cloud Center of Excellence framework.

See also our FAQs on 'Cloud value and governance'.

Governance

Cloud value and governance

Cloud value and governance ensure that investment in cloud delivers measurable performance and financial outcomes. This includes FinOps, cost control and operating models that align accountability with innovation.

What is FinOps and why does it matter?

FinOps is the discipline that brings financial accountability to variable cloud spending. It aligns finance, engineering and business teams around real-time usage data so decisions balance cost and innovation. NTT DATA implements FinOps frameworks that make cloud spending visible and actionable through dashboards and predictive analytics. Executives gain the insight to control run rates and fund new initiatives without delaying projects. FinOps turns cloud from a budget risk into a strategic advantage.

Explore NTT DATA’s Cloud Optimization and FinOps services.

Why do cloud costs keep rising?

Costs grow because usage outpaces governance. When teams spin up resources without visibility, waste and duplication multiply. NTT DATA helps organizations establish usage policies, budget alerts and auto-shutdown schedules so consumption matches business demand. FinOps analytics reveal which workloads are idle or oversized, while automation rightsizes them automatically. By linking spending to value, leaders can redirect budget to innovation instead of maintenance.

Learn how NTT DATA optimizes cloud costs.

See also our FAQs on 'Cloud modernization and migration'.

What is cloud cost optimization?

Cost optimization balances performance and price. NTT DATA uses AI and automation to analyze usage patterns and recommend savings in real time. We adjust instance types, storage tiers and licensing to match actual workload behavior. Governance dashboards translate technical metrics into financial language, so executives can see ROI immediately. Effective optimization reduces waste while improving agility and sustainability.

Explore NTT DATA’s FinOps and automation services.

See also our FAQs on 'AI in the cloud'.

What is a cloud operating model?

A cloud operating model defines how people, processes and technology work together to run cloud at scale. NTT DATA helps clients build models that connect architecture, security, FinOps and DevOps under a single governance structure. Clear roles, automated workflows and shared key performance indicators (KPIs) replace silos with collaboration. The result is an organization that moves faster because everyone is aligned to the same outcomes.

Learn about NTT DATA’s Cloud Strategy and Transformation services.

See also our FAQs on 'Cloud modernization and migration'.

How does governance support cloud strategy?

Governance provides the guardrails that keep innovation on track. NTT DATA designs governance models that define who can deploy resources, how data is secured and how spending is monitored. Automation enforces these rules consistently across providers. Executives gain transparency and confidence that growth won’t create risk. Strong governance is the difference between experimentation and enterprise-grade cloud.

Explore NTT DATA’s Cloud Strategy and Transformation services.

See also our FAQs on 'Secure and sovereign cloud'.

What are the common causes of cloud waste?

Cloud waste usually comes from idle resources, overprovisioning and neglected data storage. NTT DATA audits usage patterns and deploys automated policies to deprovision resources that are no longer needed. We also educate teams on cost-aware design, so new projects start optimized. Real-time dashboards show waste in financial terms so leaders can act quickly. Eliminating waste is the fastest path to funding innovation.

Explore NTT DATA’s Cloud Optimization services.

How does sustainability fit into cloud planning?

Sustainability and efficiency share the same principle: Use only what you need. NTT DATA helps clients measure the carbon impact of cloud consumption and choose energy-efficient regions and services. We design governance dashboards that track emissions alongside cost so organizations can optimize for both. Through automation and AI, workloads scale down when demand falls, reducing energy use without sacrificing performance. Cloud becomes a driver of environmental as well as economic value.

Explore NTT DATA’s sustainability insights.

See also our FAQs on 'Secure and sovereign cloud'.

What skills do I need for effective cloud management?

Success requires a blend of technical and financial skills. Organizations need architects, DevOps engineers, security experts and FinOps analysts working in agile teams. NTT DATA helps clients build a cloud center of excellence to standardize skills and governance. Our training and mentoring programs transfer knowledge so clients can self-manage post-project. Capability building is the most sustainable investment in cloud value.

Explore NTT DATA’s Cloud Optimization services.

See also our FAQs on 'Cloud modernization and migration'.

How does automation help govern cloud operations?

Automation turns policy into code. NTT DATA deploys scripts that enforce tagging, security and budget rules whenever resources launch. This eliminates manual oversight and reduces the risk of noncompliance. AI monitors behavior and flags anomalies before they affect cost or security. Automation keeps governance current even as cloud environments evolve, allowing teams to focus on innovation.

Explore NTT DATA’s AIOps and automation solutions.

See also our FAQs on 'AI in the cloud'.

Why is visibility so important for cloud value?

Visibility is control. Without a clear view of usage and cost, leaders can’t align spend to strategy. NTT DATA integrates telemetry from all providers into one dashboard so business, finance and IT see the same numbers. This transparency builds trust and enables data-driven decisions on performance, security and investment. Visibility is the foundation of governance and the engine of innovation.

Explore NTT DATA’s Cloud Optimization services.

How do I start a FinOps program?

Begin with visibility. NTT DATA helps organizations collect cost and usage data from every provider into one dashboard and establish a cross-functional FinOps team representing finance, IT operations and business units. Together, they define policies for budgeting, tagging and chargebacks. We implement automated tools that forecast spending and highlight anomalies so action is immediate. Regular reviews convert data into insight and insight into savings. A FinOps program is successful when financial accountability becomes part of everyday engineering.

Explore NTT DATA’s Cloud Optimization and FinOps services.

How do I build a cloud governance framework?

Governance defines how decisions are made and enforced. NTT DATA works with clients to map key controls across cost, compliance and security, then codifies them into automation pipelines. We create policies for resource creation, identity access and data retention, embedding them in continuous integration and continuous delivery (CI/CD) processes. Dashboards provide real-time compliance status, turning governance into an operational rhythm rather than a quarterly audit. Effective frameworks balance innovation freedom with predictable risk.

Learn about NTT DATA’s Cloud Strategy and Transformation services.

See also our FAQs on 'Secure and sovereign cloud'.

How can automation help control cost and compliance?

Automation enforces policy instantly and consistently. NTT DATA uses scripts that tag resources, shut down idle instances and verify security baselines whenever new assets deploy. AI engines review usage trends to predict overspending before it happens. Automated reporting provides auditors with continuous evidence rather than snapshots. These controls reduce manual workload and strengthen trust between IT and finance. Automation is the practical side of good governance.

Explore NTT DATA’s AIOps and automation solutions.

See also our FAQs on 'AI in the cloud'.

How do I rightsize cloud resources?

Rightsizing matches performance with demand. NTT DATA analyzes usage metrics to find underused or overprovisioned instances and recommends optimal configurations. Automation can downscale workloads during low demand or switch to spot and reserved pricing for predictable loads. Continuous rightsizing keeps cost and carbon low while maintaining reliability. The outcome is a leaner, greener IT estate that performs better for less.

Explore NTT DATA’s Cloud Optimization services.

How can I integrate sustainability reporting into FinOps?

FinOps and sustainability share the same data foundation. NTT DATA extends cost dashboards with carbon metrics from cloud providers, giving organizations a dual view of spending and emissions. Automation correlates usage with energy consumption, while analytics highlight opportunities to reduce both. We help clients include sustainability KPIs in executive reporting so environmental performance becomes part of financial governance. This transparency turns environmental, social and governance (ESG) goals into measurable business value.

Explore NTT DATA’s sustainability insights.

See also our FAQs on 'Secure and sovereign cloud'.

How do I create a cloud center of excellence?

A cloud center of excellence (CCoE) institutionalizes best practice. NTT DATA helps clients form cross-disciplinary teams responsible for governance, training and innovation. We define roles, build playbooks and supply automation templates that other teams can adopt. The CCoE becomes both the steward and the accelerator of change — setting standards while mentoring projects. Over time, it evolves into a self-sustaining community of expertise that keeps cloud value high.

Explore NTT DATA’s Cloud Optimization services.

See also our FAQs on 'Cloud modernization and migration'.

How do I align cloud KPIs with business value?

KPIs should link technical activity to business results. NTT DATA helps organizations define metrics such as cost per transaction, feature release frequency, uptime and customer-satisfaction impact. These KPIs appear on executive dashboards alongside revenue or margin data, creating one view of performance. When IT success equals business success, prioritization becomes clear and funding debates disappear.

Discover C-suite perspectives on cloud success.

How do I use AIOps to improve efficiency?

AIOps applies AI to IT operations. NTT DATA integrates machine-learning models that analyze logs and metrics to predict incidents, automate fixes and optimize performance. These insights feed FinOps dashboards to correlate operational efficiency with financial outcomes. The result is fewer outages, lower costs and higher productivity. AIOps makes the cloud self-healing — an operational upgrade as well as a financial one.

Explore how AIOps injects intelligence into the heart of IT operations.

See also our FAQs on 'AI in the cloud'.

How do I combine FinOps and DevOps in one operating model?

FinOps and DevOps share the goal of continuous improvement. NTT DATA merges them by embedding cost and performance data directly into CI/CD pipelines. Engineers see financial impact before deployment, while finance teams see release velocity and business benefit. Automation enforces budgets and performance targets in real time. This single operating model aligns agility with accountability, ensuring innovation stays profitable.

Explore NTT DATA’s Cloud Optimization services.

See also our FAQs on 'Cloud modernization and migration'.

Sovereign

Secure and sovereign cloud

Secure and sovereign cloud approaches address data residency, compliance and regulatory control. They enable organizations to innovate while meeting strict jurisdictional and security requirements.

What is a sovereign cloud?

A sovereign cloud keeps data within defined national or regional borders while meeting strict regulatory standards. It ensures that only approved entities can access or process data, no matter where the technology provider is based. NTT DATA designs sovereign and private clouds that combine local control with global performance. They help governments and regulated industries balance security, compliance and innovation. For executives, sovereign cloud is not a constraint but a trust enabler that safely opens the door to AI and analytics on sensitive data.

Explore NTT DATA’s private and sovereign cloud insights.

See also our FAQs on 'Cloud value and governance'.

Why is data sovereignty important?

Data sovereignty defines who has legal jurisdiction over your information. For multinationals, this can determine compliance risk, brand reputation and customer trust. NTT DATA helps clients map data flows against local regulations and design cloud architectures that meet requirements without slowing innovation. Our sovereign-by-design approach uses region-specific landing zones and encryption keys controlled by the client. This ensures full visibility of where data lives and who can access it — which is critical for AI ethics and regulatory compliance.

Learn about NTT DATA’s Cloud Strategy and Transformation services.

See also our FAQs on 'AI in the cloud'.

What’s the difference between public, private and sovereign cloud?

A public cloud offers shared infrastructure and scale; a private cloud provides dedicated resources and custom controls; and a sovereign cloud adds legal and jurisdictional protection. NTT DATA helps organizations blend these models into hybrid architectures that place workloads where they perform best and remain compliant. The goal is choice without complexity — optimizing cost and resilience while meeting industry rules. Our cloud strategy workshops help leaders determine the right mix for their risk profiles and innovation agendas.

Explore NTT DATA’s Cloud infrastructure services.

See also our FAQs on 'Cloud value and governance'.

What are the biggest security risks in multicloud?

The main risks come from inconsistent policies, manual configuration and fragmented visibility. NTT DATA addresses these with automated security as code and centralized monitoring across providers. AI-driven analytics detect anomalies and alert teams instantly. Identity management and encryption are standardized so that compliance travels with the workload. When security is governed at the platform level, organizations gain the freedom to innovate across clouds without exposure.

Read more about cloud security.

See also our FAQs on 'AI in the cloud'.

What does zero trust architecture mean in cloud?

Zero trust assumes no user or device is inherently safe. Every access request must be verified and authorized. NTT DATA implements zero trust principles through identity governance, microsegmentation and continuous monitoring. This reduces the attack surface while supporting remote and hybrid work models. Applied to cloud, zero trust enables secure collaboration across partners and geographies without compromising performance. The result is a trust framework built on verification, not assumptions.

Explore NTT DATA’s Cloud services.

How does cloud resilience differ from disaster recovery?

Disaster recovery reacts to failure; resilience prepares for it. NTT DATA designs cloud architectures that anticipate disruption through redundancy, autoscaling and continuous backup. Workloads can fail over between regions without data loss or downtime. Our managed resilience services test these scenarios regularly so business continuity becomes a daily practice, not an emergency plan. This predictive approach keeps critical operations running through any event.

Read about NTT DATA’s Cloud Optimization solutions.

See also our FAQs on 'Cloud value and governance'.

How does sovereign cloud help with compliance and regulation?

Sovereign cloud makes compliance native to the platform. Data is stored, processed and audited within approved jurisdictions, meeting standards such as the European Union’s General Data Protection Regulation (GDPR), the US Federal Risk and Authorization Management Program and industry-specific rules. NTT DATA builds controls and automated reporting into the architecture to reduce manual audit effort. Our clients gain real-time visibility of where data resides and who has access, simplifying governance across borders. Compliance becomes an advantage, not an obstacle to innovation.

Learn about NTT DATA’s sovereign cloud approach.

See also our FAQs on 'Cloud value and governance'.

What is shared responsibility in cloud security?

Shared responsibility means providers secure the cloud infrastructure while customers secure what they run on it. NTT DATA helps executives understand this boundary so nothing falls through the cracks. We map roles and controls across providers, implement automation for policy enforcement and monitor joint dashboards to prove compliance. This clarity reduces risk and simplifies reporting to boards and regulators.

Learn about NTT DATA’s Cloud Strategy and Transformation services.

See also our FAQs on 'Cloud value and governance'.

What are typical regional data-residency requirements?

Data-residency rules vary widely — the EU enforces GDPR, the US applies sector-specific laws and many Asia-Pacific countries mandate local storage. NTT DATA’s global footprint and regional sovereign partners allow clients to deploy workloads where they comply with local laws without sacrificing performance. We design multiregion architectures that replicate data for resilience while respecting each jurisdiction’s requirements. This approach reduces legal risk and improves user trust.

Read NTT DATA’s sovereign and private cloud insights.

Why are sovereign and private clouds gaining renewed interest in the AI era?

AI brings new regulatory scrutiny of data privacy, model transparency and intellectual property. Sovereign and private clouds offer the control that organizations need to adopt AI responsibly. NTT DATA combines sovereign infrastructure with AI governance to protect sensitive datasets while enabling innovation. For public-sector and regulated industries, this is the bridge between trust and transformation: Secure AI development that meets both local law and global expectations.

Read NTT DATA’s view on why private and sovereign clouds lead in the AI era.

See also our FAQs on 'AI in the cloud'.

How do I design a sovereign cloud architecture?

Design begins with governance. NTT DATA starts by mapping regulatory obligations, data-classification levels and workload sensitivity. From there, we design regions, landing zones and encryption models that keep data where it legally belongs. Identity, access and key management are client-controlled, while automated compliance checks confirm that policies remain intact. The architecture is layered for resilience — computing, network, storage and audit. This ensures sovereignty without sacrificing agility, allowing organizations to scale AI and analytics safely.

Learn about NTT DATA’s Cloud Strategy and Transformation services.

See also our FAQs on 'Cloud value and governance'.

How can I ensure compliance across multiple clouds?

Multicloud compliance requires one rulebook. NTT DATA provides a governance layer that enforces consistent policies for identity, encryption and logging across Amazon Web Services, Microsoft Azure and Google Cloud. Our automated controls benchmark each environment against frameworks such as ISO 27001 and the NIST Cybersecurity Framework. Central dashboards give compliance officers real-time visibility, while AI flags anomalies automatically. This unified view turns a complex landscape into a single, auditable environment.

See how NTT DATA manages governance in multicloud environments.

See also our FAQs on 'Hyperscaler ecosystems'.

How do encryption and key-management models work in sovereign cloud?

Encryption protects data in transit and at rest, while key management decides who can unlock it. In sovereign models, NTT DATA uses hardware security modules within national borders to ensure that clients hold their own keys — never the provider. Keys are rotated automatically and logged for audit. This design satisfies regulatory demands for local control and ensures that even in multitenant infrastructures, each organization’s data remains mathematically isolated.

Learn more about NTT DATA’s Cloud services.

How do I protect regulated or classified workloads?

Protecting sensitive workloads means controlling the entire data lifecycle. NTT DATA designs segmented networks with strict identity controls, continuous monitoring and automated compliance testing. We partner with regional hyperscalers and government-approved facilities to ensure physical and digital separation. Data is encrypted end to end and monitored for unauthorized movement. These safeguards enable agencies and financial institutions to modernize critical systems without breaching regulation.

Learn more about NTT DATA’s Cloud services.

How can automation strengthen security posture?

Automation enforces consistency. NTT DATA uses policy as code to apply and verify controls automatically whenever new resources are deployed. AI and machine-learning models scan configurations, detect drift and remediate it in seconds. This constant vigilance eliminates human error and proves compliance to auditors. Automation doesn’t replace expertise; it amplifies it by ensuring security is always current.

Explore NTT DATA’s Cloud Optimization solutions.

See also our FAQs on 'AI in the cloud'.

How do I test cloud resilience and recovery?

True resilience is proven only through testing. NTT DATA runs controlled failover simulations that validate recovery-time objectives and recovery-point objectives for every workload. We automate replication and backup across regions and use analytics to measure performance under stress. Insights from each test are used for continuous improvement. These rehearsals ensure that when disruption strikes, response is automatic and confidence is high.

Explore NTT DATA’s Cloud Optimization solutions.

See also our FAQs on 'Cloud value and governance'.

What options exist for confidential computing and secure data sharing?

Confidential computing protects data even while it’s being processed by encrypting it in memory. NTT DATA deploys this capability for clients handling sensitive intellectual property or citizen data. Combined with secure application programming interfaces (APIs) and tokenization, it enables organizations to share insights without exposing raw data. This is critical for cross-border analytics and AI collaboration. Secure data-sharing frameworks make innovation possible where privacy once made it impossible.

Explore NTT DATA’s responsible AI and data governance insights.

See also our FAQs on 'AI in the cloud'.

How do I balance performance and compliance requirements?

Balancing performance and compliance requires adaptive policy enforcement. NTT DATA uses workload classification to determine where data can reside and which controls apply. Low-risk workloads use elastic public cloud resources; regulated workloads stay within sovereign environments. Unified monitoring ensures consistent performance across both. With this model, organizations meet regulations without compromising user experience or innovation speed.

Learn about NTT DATA’s Cloud Strategy and Transformation services.

See also our FAQs on 'Cloud value and governance'.

How do sovereign clouds securely support AI and GPU-intensive workloads?

AI workloads demand compute density and data privacy. NTT DATA partners with hyperscalers offering GPU-enabled sovereign regions that keep data local while providing global performance. We add governance, encryption and model-tracking layers so training and inference stay compliant. This allows organizations in regulated industries to adopt AI without exporting sensitive information. Secure AI innovation becomes a competitive advantage.

Read about NTT DATA and Google Cloud’s AI partnership.

See also our FAQs on 'AI in the cloud'.

How do I monitor security and compliance continuously in the cloud?

Continuous compliance means every configuration and event is checked automatically against policy. NTT DATA integrates real-time monitoring tools and AI analytics that scan logs for drift, intrusion or misconfiguration. Dashboards show compliance posture by workload, business unit or geography. Automated alerts trigger remediation workflows and produce audit-ready evidence. Continuous monitoring replaces periodic audits with constant assurance to maintain trust.

Explore NTT DATA’s Cloud Optimization solutions.

See also our FAQs on 'Cloud value and governance'.

AI

AI in the cloud

AI in the cloud combines scalable infrastructure with machine learning and automation capabilities. It enables organizations to embed intelligence into operations, decision-making and customer experience at scale.

What is AI-driven cloud innovation?

AI-driven cloud innovation brings intelligence to every layer of the organization. It means using cloud not only to host data but also to generate insights and automation that improve how people work. NTT DATA helps organizations combine cloud scalability with AI-enabled analytics, workflow automation and decision support so innovation becomes continuous. By embedding machine learning and GenAI into applications and operations, organizations can predict change, personalize experiences and create new business models faster.

Explore AI-enabled cloud modernization.

See also our FAQs on 'Cloud modernization and migration'.

How does AI change what cloud platforms can do?

AI transforms cloud from infrastructure into intelligence. With AI-powered observability, optimization and automation, systems can self-heal, scale automatically and predict demand. For executives, this means fewer outages, lower costs and a better customer experience. NTT DATA integrates AI into cloud management so operations learn and adapt over time. AI also accelerates innovation by generating code, detecting anomalies and supporting decision-making with real-time data.

See how NTT DATA uses AI and automation to drive cloud outcomes.

See also our FAQs on 'Cloud value and governance'.

How does cloud enable GenAI?

GenAI needs enormous processing power and secure data access — capabilities that hyperscale cloud provides. NTT DATA designs architectures that combine GPU-optimized computing, responsible data governance and application programming interfaces (APIs) to bring GenAI into everyday workflows. Clients use these environments to summarize documents, generate code and design new services while keeping data under enterprise control. Cloud makes experimentation affordable and compliant, allowing AI to move from pilot to production with measurable ROI.

Read about NTT DATA and Google Cloud’s GenAI partnership.

See also our FAQs on 'Secure and sovereign cloud'.

What are common AI-in-cloud use cases?

The most common use cases are customer experience, predictive maintenance, intelligent automation and fraud detection. NTT DATA helps organizations deploy AI models that learn from operational and customer data already in the cloud. Retailers improve personalization, banks detect anomalies in transactions and manufacturers predict equipment failure before it happens. Because AI services are cloud-based, organizations can scale them globally with consistent security and governance. Each use case builds confidence for the next, creating an innovation flywheel.

Read how AI, analytics and cloud elevate customer experience.

See also our FAQs on 'Industry clouds'.

How can AI help with IT operations?

AI simplifies complexity in modern IT estates. NTT DATA implements AIOps to analyze logs, metrics and events from multiple clouds, identifying patterns that indicate incidents before users notice them. Automated responses fix routine issues instantly, reducing mean time to resolve and freeing engineers for strategic work. Over time, machine-learning models learn from each event, turning operations into a self-optimizing system. The result: Greater reliability, lower cost and higher employee satisfaction.

Read more about NTT DATA’s Cloud Optimization services.

See also our FAQs on 'Cloud value and governance'.

How does AI support automation and optimization in cloud?

AI extends traditional automation by learning from behavior and predicting the next best action. In NTT DATA’s managed environments, AI algorithms monitor resource consumption, adjust capacity automatically and recommend configuration changes. They also spot anomalies in cost or performance that humans might miss. This self-tuning capability keeps applications performing efficiently and sustainably. By embedding AI into cloud management, organizations gain a continuously improving system that balances speed, reliability and cost.

Explore NTT DATA’s Cloud Optimization and FinOps solutions.

See also our FAQs on 'Cloud value and governance'.

How does AI improve employee and customer experiences?

AI turns every interaction into insight. NTT DATA deploys cloud-based AI solutions that analyze sentiment, automate responses and personalize recommendations. In contact centers, AI assistants reduce handling time; for employees, AI copilots automate routine tasks so they can focus on creativity. Because the data and models run in the cloud, experiences remain consistent across channels and geographies. Organizations see measurable gains in satisfaction, loyalty and productivity.

Learn how Amazon Connect and AI supercharge contact centers.

See also our FAQs on 'Industry clouds'.

How do I embed AI into cloud operations?

Embedding AI means weaving intelligence into the way your cloud runs day to day. NTT DATA integrates machine learning and GenAI models directly into monitoring, security and cost-management workflows. These models learn from live data to predict capacity needs, detect anomalies and automate incident response. We design feedback loops so every alert improves the next decision. Over time, operations evolve from reactive to proactive — a self-optimizing system that scales with the business.

Explore NTT DATA’s Cloud Optimization and AIOps services.

See also our FAQs on 'Cloud value and governance'.

How can AI improve cloud reliability and performance?

AI detects and prevents issues before they affect users. NTT DATA implements predictive analytics to analyze telemetry data across cloud resources, identifying trends that precede failures or slowdowns. Automated remediation scripts or chatbot assistants resolve known issues instantly. Clients report lower incident volume and higher service availability. By learning from each event, AI strengthens resilience and ensures continuous improvement.

Explore NTT DATA’s Cloud Architecture and Modernization services.

See also our FAQs on 'Secure and sovereign cloud'.

How does AI enhance observability and predictive monitoring?

Traditional monitoring shows what happened; AI-based observability explains why. NTT DATA combines logs, metrics and traces in cloud-native platforms that apply machine learning to correlate events and identify root causes automatically. Predictive models forecast anomalies so teams can fix issues before they escalate. This proactive visibility improves uptime, speeds up troubleshooting and frees engineers for innovation.

Explore NTT DATA’s Cloud Optimization and observability solutions.

See also our FAQs on 'Cloud value and governance'.

How do I secure AI workloads in the cloud?

Security for AI workloads starts with data governance. NTT DATA designs controls around identity, encryption and access while embedding continuous compliance checks through DevSecOps. We separate training and inference environments, protect models from tampering and apply audit trails for every dataset. Our Responsible AI framework ensures transparency and ethical use across all regions and regulations. With these safeguards, organizations can scale AI confidently while meeting security and privacy obligations.

Learn about responsible AI and data governance.

See also our FAQs on 'Secure and sovereign cloud'.

How does AI support FinOps and cost optimization?

AI analyzes usage patterns across clouds to recommend savings automatically. NTT DATA’s FinOps platform applies predictive algorithms to forecast spending, detect anomalies and suggest right-sizing actions. Executives get dashboards that translate technical metrics into financial impact. By linking AI-driven insights with governance policies, organizations cut waste and reinvest savings in innovation. It's financial intelligence built into the cloud itself.

Explore NTT DATA’s Cloud Optimization and FinOps solutions.

See also our FAQs on 'Cloud value and governance'.

How do I govern AI across multiple clouds?

Governance ensures models behave consistently wherever they run. NTT DATA helps clients implement model registries, access controls and audit logs that span providers. Our governance layer standardizes approval workflows, bias testing and lifecycle management so AI remains explainable and compliant. Integration with continuous integration and continuous delivery (CI/CD) pipelines enables ongoing delivery with automatic checks at every step. This multicloud governance model lets organizations innovate freely without sacrificing oversight.

Read more about cloud transformation in the age of AI.

See also our FAQs on 'Secure and sovereign cloud'.

How do I integrate AI into DevOps and DevSecOps?

AI automates the repetitive tasks inside DevOps: code analysis, testing, deployment and monitoring. NTT DATA augments traditional pipelines with AI models that predict build failures, detect security vulnerabilities and recommend optimizations. We also use GenAI to assist developers with code suggestions through tools like Microsoft Copilot. Integrating AI with DevSecOps increases release velocity while improving quality and compliance — innovation delivered safely at scale.

Discover how NTT DATA co-innovates with Microsoft Copilot.

See also our FAQs on 'Cloud modernization and migration'.

How can AI help detect anomalies or threats in cloud environments?

AI analyzes massive event streams faster than human teams ever could. NTT DATA’s security analytics platforms use machine learning to baseline normal behavior and flag deviations instantly. Automated responses isolate threats, while AI correlates signals from multiple sources to reveal hidden attacks. Combining these insights with our managed security operations delivers continuous protection without slowing performance. This predictive defense transforms security from reactive to preventive.

Read more about NTT DATA’s Cloud Optimization services.

See also our FAQs on 'Secure and sovereign cloud'.

Hyperscaler

Hyperscaler ecosystems

Hyperscaler ecosystems bring together global cloud providers to support scale, resilience and innovation. Multicloud governance and interoperability are central to maximizing their value.

What does “hyperscaler” mean in cloud computing?

A hyperscaler is a global cloud provider that operates massive, distributed infrastructure delivering computing, storage, networking and AI services on demand. Hyperscalers such as Amazon Web Services, Microsoft Azure and Google Cloud give organizations instant access to scale, resilience and innovation capacity. NTT DATA partners with all three to help organizations use these capabilities strategically — combining global reach with local compliance and FinOps control.

Explore NTT DATA’s GenAI Infrastructure Services.

See also our FAQs on 'Amazon Web Services (AWS) cloud', 'Microsoft Azure cloud' and 'Google Cloud'.

Why are hyperscalers central to digital transformation?

Transformation depends on agility and trust at scale. Hyperscalers provide the secure foundation to modernize applications, connect data and deploy AI globally. NTT DATA designs hybrid and multicloud strategies so clients can innovate on these platforms while maintaining compliance, governance and cost efficiency. Hyperscaler partnerships let organizations focus on outcomes, not infrastructure.

Read C-suite perspectives on cloud success.

See also our FAQs on 'Cloud modernization and migration'.

How do global cloud platforms enable scale and innovation?

Their distributed networks deliver near-instant provisioning anywhere in the world. With thousands of services — from compute to AI application programming interfaces (APIs) — organizations can experiment rapidly and scale successes safely. NTT DATA adds design, security and FinOps layers that align platform capabilities with business objectives. Scale is valuable only when it drives measurable outcomes; our frameworks make that connection clear.

Explore NTT DATA’s Cloud Optimization services.

See also our FAQs on 'Cloud value and governance'.

What benefits do organizations gain from working with multiple hyperscalers?

A multicloud strategy improves flexibility, resilience and vendor independence. Each provider contributes unique capabilities, and combining them prevents overreliance on a single platform. NTT DATA implements unified governance, security and cost-management frameworks so clients can move workloads seamlessly across clouds. This approach ensures performance optimization without compromising compliance or control.

Learn about NTT DATA’s Cloud Strategy and Transformation services.

See also our FAQs on 'Secure and sovereign cloud'.

How does NTT DATA collaborate with leading hyperscalers?

We collaborate with hyperscalers through joint engineering, co-innovation and go-to-market programs. NTT DATA works closely with Amazon Web Services, Microsoft and Google Cloud to create accelerators, reference architectures and funding models that reduce risk and time to value. Clients gain access to global expertise as well as NTT DATA’s integration, security and managed-service capabilities. Together, we turn hyperscale infrastructure into tailored business innovation.

Read C-suite perspectives on cloud success.

See also our FAQs on 'Amazon Web Services (AWS) cloud', 'Microsoft Azure cloud' and 'Google Cloud'.

What is a joint innovation program?

It’s a structured partnership where NTT DATA and a hyperscaler fund and codevelop new solutions for shared clients. Projects may include migration factories, AI-enabled analytics or sector-specific platforms. These programs combine vendor technology with NTT DATA’s domain and delivery expertise, ensuring solutions are enterprise-grade from day one.

Read about agentic AI co-innovation with Microsoft Copilot.

See also our FAQs on 'AI in the cloud'.

How does governance maintain control across hyperscalers?

Governance defines consistent policies for security, compliance and spend across all providers. NTT DATA uses automation and FinOps dashboards to enforce these policies so that cost, performance and risk stay predictable. Unified governance turns a multicloud environment into one coherent operating model.

Explore NTT DATA’s Cloud Optimization services.

See also our FAQs on 'Cloud value and governance'.

How can organizations decide which workloads belong on which cloud?

NTT DATA assesses each workload’s performance, compliance and integration needs, then recommends the best landing zone — public, private or sovereign. Decisions are based on data sensitivity, cost profile and proximity to users, not vendor preference. This analytical approach ensures every workload sits where it delivers the most value while staying compliant.

Explore NTT DATA’s Cloud Strategy and Transformation services.

See also our FAQs on 'Secure and sovereign cloud'.

How does NTT DATA help maintain independence while leveraging hyperscalers?

We achieve this through open architectures, containerization and data-governance frameworks that prevent lock-in. NTT DATA designs interoperability into every layer — API management, identity and monitoring — so clients keep ownership of their data and choice of providers. Independence ensures flexibility to adopt new innovations without disruption.

Learn about NTT DATA’s Cloud Architecture and Modernization services.

See also our FAQs on 'Cloud modernization and migration'.

How do multicloud and hyperscaler strategies support sustainability?

Hyperscalers invest heavily in renewable energy and efficiency. NTT DATA extends these efforts through governance that tracks energy use and carbon impact per workload. By optimizing placement and resource scheduling, we help clients meet environmental, social and governance (ESG) goals while maintaining performance. Cloud becomes both an innovation and sustainability driver.

Explore NTT DATA’s sustainability insights.

See also our FAQs on 'Cloud value and governance'.

AWS

Amazon Web Services (AWS) cloud

AWS cloud environments provide scalable infrastructure and managed services for enterprise modernization. They support migration, optimization and global scalability within AWS.

How do AWS cloud services support enterprise innovation?

AWS provides elastic infrastructure and hundreds of managed services that enable organizations to modernize quickly and scale globally. NTT DATA uses AWS capabilities — from computing and databases to analytics and AI — to design secure, compliant and efficient digital platforms. This combination accelerates transformation while keeping operations resilient.

Explore NTT DATA’s partnership with AWS.

See also our FAQs on 'Cloud modernization and migration'.

Which workloads typically move first to AWS?

Customer-facing digital services, development environments and analytics platforms often move first because they benefit immediately from AWS elasticity. NTT DATA identifies low-risk, high-return candidates and migrates them using proven patterns and automation to achieve quick wins that build confidence for larger moves.

Read more about AWS Cloud transformation.

See also our FAQs on 'Cloud value and governance'.

How does the AWS architecture enable scalability and resilience?

AWS regions and availability zones provide built-in redundancy. NTT DATA designs architectures using load balancing, autoscaling and disaster-recovery services to ensure uptime and performance. Infrastructure as code and monitoring automate deployment and recovery so resilience becomes a daily reality, not a contingency plan.

Learn about NTT DATA’s Cloud Platforms.

See also our FAQs on 'Secure and sovereign cloud'.

How does NTT DATA help organizations modernize on AWS?

We combine AWS tools such as CloudEndure, Migration Hub and Lambda with our migration factory and FinOps frameworks. Modernization spans everything from lift and shift to containerization and serverless reengineering. NTT DATA ensures governance, cost control and security are embedded from day one, enabling faster innovation with a lower total cost of ownership.

Explore NTT DATA’s Cloud Architecture and Modernization services.

See also our FAQs on 'Cloud modernization and migration'.

How do AWS analytics and AI services create business insight?

AWS analytics tools such as QuickSight and Redshift, combined with AI services like AWS SageMaker, let organizations process and learn from massive datasets. NTT DATA integrates these services within governed data lakes to reveal trends and automate decisions, turning information into advantage without compromising security.

Discover NTT DATA’s AI and application modernization approach.

See also our FAQs on 'AI in the cloud'.

How can FinOps bring cost control to AWS environments?

NTT DATA applies FinOps dashboards that integrate AWS Cost Explorer and Budgets application programming interfaces (APIs). Predictive analytics highlight anomalies and automate right-sizing recommendations. Financial, technical and business teams share one source of truth, aligning consumption with value creation.

Explore NTT DATA’s Cloud Optimization services.

See also our FAQs on 'Cloud value and governance'.

How does NTT DATA ensure compliance and security on AWS?

Security and compliance are built into every architecture. NTT DATA configures AWS Identity and Access Management, encryption and audit logging, aligned to standards such as ISO 27001 and PCI DSS. Automation enforces controls continuously across all accounts, providing audit-ready assurance.

Read more about AWS Cloud transformation.

See also our FAQs on 'Secure and sovereign cloud'.

How do AWS industry solutions accelerate transformation?

AWS industry clouds deliver prebuilt frameworks for sectors such as banking, insurance and manufacturing. NTT DATA extends these with domain knowledge and integration services, enabling compliance-ready innovation. Together, we help clients modernize faster and deliver measurable outcomes.

Explore NTT DATA’s industry cloud solutions.

See also our FAQs on 'Industry clouds'.

Microsoft Azure

Microsoft Azure cloud

Microsoft Azure is a global cloud platform delivering infrastructure, data and AI services in hybrid and sovereign environments. It enables enterprise transformation through secure modernization and scalable innovation.

What is Microsoft Azure and how does it support enterprise transformation?

Microsoft Azure is a global cloud platform providing infrastructure, applications, data and AI services in public, private and sovereign environments. It helps organizations modernize legacy systems, unify data and build new digital experiences quickly and securely. NTT DATA partners with Microsoft to deliver Azure solutions that align technology investment with business outcomes, combining platform innovation with deep industry expertise.

Explore NTT DATA’s partnership with Microsoft Azure.

See also our FAQs on 'Cloud modernization and migration'.

What benefits do organizations gain from Microsoft Azure’s hybrid capabilities?

Microsoft Azure connects on-premises and cloud environments seamlessly through Azure Arc and Azure Stack. NTT DATA uses these tools to extend security, governance and policy management across data centers, edge locations and public cloud resources. This approach lets organizations move at their own pace while maintaining visibility and control over sensitive workloads.

Learn about NTT DATA’s hybrid cloud solutions on Microsoft Azure.

See also our FAQs on 'Secure and sovereign cloud'.

What is Azure Arc and how does it extend governance?

Azure Arc brings Microsoft Azure management and security capabilities to servers, Kubernetes clusters and databases anywhere. NTT DATA implements Azure Arc for clients with multicloud or on-premises infrastructure so they can apply consistent policies and FinOps reporting across environments. Azure Arc turns governance into a single pane of glass for operations, security and cost management.

Explore NTT DATA’s Cloud Strategy and Transformation services.

See also our FAQs on 'Cloud value and governance'.

How does Microsoft Azure ensure security and compliance for regulated workloads?

Microsoft Azure follows more than 100 global standards, including ISO, SOC and the US Federal Risk and Authorization Management Program (FedRAMP). NTT DATA adds architecture design, DevSecOps and continuous monitoring to meet specific client requirements in finance, healthcare and public sector. Security controls cover identity, encryption and network segmentation, while automated audits produce real-time evidence for regulators.

Read more about AI-enabled cloud migration for Microsoft Azure.

See also our FAQs on 'Secure and sovereign cloud'.

How do Microsoft Azure AI and data services improve decision-making?

Microsoft Azure offers integrated AI and data platforms such as Synapse Analytics, Fabric and Machine Learning Studio. NTT DATA builds governed data fabrics that connect structured and unstructured data for real-time insight. With GenAI and predictive AI embedded, leaders can automate decisions and forecast outcomes with confidence.

Explore NTT DATA’s approach to AI and application modernization.

See also our FAQs on 'AI in the cloud'.

What is Microsoft Cloud for Sovereignty?

Microsoft Cloud for Sovereignty delivers Microsoft Azure capabilities within national jurisdictions to address regulatory and data-residency needs. NTT DATA designs and operates these environments for public and regulated clients, adding FinOps, security and governance layers so agencies and organizations retain full control of their data and operations.

Read NTT DATA’s private and sovereign cloud insights.

See also our FAQs on 'Secure and sovereign cloud'.

How does NTT DATA help clients modernize and migrate to Microsoft Azure?

NTT DATA delivers large-scale cloud transformation using a structured, phased migration approach supported by Microsoft partnership funding programs for assessment, migration and modernization. Our capabilities span complex enterprise-grade transitions — from rapid data center migrations or VMware exits to complex platform-oriented migrations such as mainframe-to-Azure replatforming, Oracle-to-Azure modernization, Citrix-to-Azure virtual desktop migrations and SAP-to-Azure transformation. As part of larger transformational initiatives, we modernize applications using Azure Kubernetes Service and serverless technologies to accelerate agility, improve resilience and optimize cost. Throughout every migration and modernization program, our governance frameworks and FinOps dashboards provide real-time visibility of progress, costs and business value to ensure transparency, control and alignment with agreed goals.

Read more about AI-enabled cloud migration for Microsoft Azure.

See also our FAQs on 'Cloud modernization and migration'.

How does Azure OpenAI Service enable GenAI use cases?

Azure OpenAI Service provides enterprise-grade access to GPT models within Microsoft’s security and compliance framework. NTT DATA helps clients integrate these capabilities into existing applications for knowledge search, content generation and developer productivity. Combined with NTT DATA’s Responsible AI framework, organizations gain innovation with governance.

Discover agentic AI co-innovation with Microsoft Copilot.

See also our FAQs on 'AI in the cloud'.

How does Azure DevOps integrate with enterprise pipelines?

Azure DevOps supports continuous integration and continuous delivery (CI/CD), infrastructure as code and agile collaboration. NTT DATA integrates DevOps with security (DevSecOps) and FinOps to enable development, operations and finance teams to share real-time insights into performance and cost. This visibility speeds up delivery and reduces rework.

Read about NTT DATA’s Cloud Optimization services.

See also our FAQs on 'Cloud value and governance'.

How can FinOps be applied to Microsoft Azure consumption?

NTT DATA deploys FinOps dashboards that combine Microsoft Azure Cost Management and Microsoft Power BI analytics to provide complete visibility of usage and budget. Automated alerts and AI-driven recommendations enable real-time optimization. Finance and IT work from the same data to keep innovation on budget.

Read about NTT DATA’s Cloud Optimization services.

See also our FAQs on 'Cloud value and governance'.

What co-innovation programs do NTT DATA and Microsoft offer?

NTT DATA and Microsoft collaborate on initiatives that combine Microsoft Azure technology with NTT DATA’s industry and engineering expertise. These include migration funding, AI enablement and joint go-to-market campaigns. Clients gain faster access to Microsoft Azure innovation and shared support from both partners.

Learn how NTT DATA co-innovates with Microsoft Azure.

See also our FAQs on 'Hyperscaler ecosystems'.

How does Azure Virtual Desktop improve workplace flexibility?

Azure Virtual Desktop enables secure, remote access to applications and data from any device. NTT DATA integrates it with Microsoft 365 and identity management to deliver a consistent, compliant user experience for distributed teams. Automation and monitoring optimize performance and cost while maintaining data-protection standards.

Explore NTT DATA’s Cloud Platforms.

See also our FAQs on 'Cloud modernization and migration'.

How does NTT DATA integrate security and identity management in Microsoft Azure?

Security is applied from design to operations. NTT DATA uses Azure Active Directory, Sentinel and Defender for Cloud to manage access, detect threats and automate response. Centralized logging and AI analytics deliver continuous assurance to executives and auditors.

Read about AI-enabled cloud migration for Microsoft Azure.

See also our FAQs on 'Secure and sovereign cloud'.

How does NTT DATA’s Azure Managed Services model deliver continuous value?

NTT DATA monitors, optimizes and evolves clients’ Microsoft Azure environments 24x7 through our global service centers. We manage patching, security updates and cost governance so internal teams can focus on innovation. Performance and spend are reviewed monthly against key performance indicators to ensure sustained ROI.

Learn about NTT DATA’s Cloud Optimization services.

See also our FAQs on 'Cloud value and governance'.

How does Microsoft Azure support sustainability and carbon-tracking goals?

Microsoft Azure operates on 100% renewable energy and provides Emissions Impact Dashboards for clients. NTT DATA integrates these tools into FinOps dashboards to help organizations track both cost and carbon impact. Workload placement and automation further reduce energy consumption while maintaining performance.

Explore NTT DATA’s sustainability insights.

See also our FAQs on 'Cloud value and governance'.

Google

Google Cloud

Google Cloud delivers advanced data, analytics and AI capabilities at scale. It supports modernization, multicloud governance and real-time insight across enterprise environments.

What is Google Cloud Platform (GCP) and how does it support enterprise innovation?

GCP offers secure, scalable infrastructure with market-leading data and analytics capabilities. It’s built on the same foundation that powers Google Search, YouTube and Maps, giving organizations high performance and global reach. NTT DATA helps clients modernize applications and data environments on GCP, combining their AI, analytics and sustainability tools with our governance and FinOps frameworks to deliver measurable business value.

Learn more about NTT DATA’s partnership with Google Cloud.

See also our FAQs on 'Cloud modernization and migration'.

How does Google Cloud enable AI and machine-learning adoption at scale?

GCP provides managed AI and machine-learning services such as Vertex AI that simplify the development, deployment and monitoring of models. NTT DATA builds governed data pipelines and MLOps frameworks around these tools so clients can operationalize AI safely and efficiently. By combining Vertex AI with BigQuery ML and Data Fabric, organizations gain a complete, compliant AI lifecycle — from training to insight to automation.

Learn about NTT DATA’s approach to AI and application modernization.

See also our FAQs on 'AI in the cloud'.

What is Vertex AI and how is it used?

Vertex AI is Google Cloud’s integrated machine-learning platform. It allows data scientists and developers to build, deploy and manage models using a single interface and consistent MLOps workflows. NTT DATA configures Vertex AI for predictive analytics, customer insight and automation use cases while embedding security, cost control and auditability. This makes advanced AI accessible and responsible across the organization.

Learn about NTT DATA’s approach to AI and application modernization.

See also our FAQs on 'AI in the cloud'.

How does Google Cloud support secure multicloud and distributed deployment?

Google Cloud Anthos extends consistent policy, security and workload portability across on-premises, edge and multicloud environments. NTT DATA designs Anthos environments that unify governance, observability and DevOps so clients can manage distributed systems as one. This flexibility reduces complexity and helps maintain compliance everywhere workloads run.

Explore NTT DATA’s Cloud Strategy and Transformation services.

See also our FAQs on 'Secure and sovereign cloud'.

How does Google Cloud meet sovereignty and privacy requirements?

GCP offers region-specific deployment and encryption options that keep data within defined jurisdictions. NTT DATA layers additional governance and key-management controls, ensuring clients retain ownership of their data and meet regulations such as the European Union’s General Data Protection Regulation (GDPR). Our sovereign cloud framework aligns with Google Distributed Cloud to combine local control with global innovation.

Read NTT DATA’s sovereign cloud insights.

See also our FAQs on 'Secure and sovereign cloud'.

How does Google Cloud support sustainability initiatives?

Google Cloud operates on carbon-neutral infrastructure and provides a Carbon Footprint Dashboard to measure emissions. NTT DATA integrates these application programming interfaces (APIs) into FinOps dashboards so clients can monitor energy use alongside cost and make informed sustainability decisions. Cloud optimization and AI scheduling further reduce energy consumption, aligning IT performance with environmental, social and governance (ESG) goals.

Explore NTT DATA’s sustainability insights.

See also our FAQs on 'Cloud value and governance'.

How does NTT DATA help organizations modernize on Google Cloud?

NTT DATA applies proven methodologies combining Google Cloud Migration Center, the Anthos modernization framework and FinOps discipline. We refactor monolithic applications into containerized microservices, automate continuous integration and continuous delivery (CI/CD) and implement observability for performance and cost. Clients gain agility, security and faster ROI while avoiding lock-in.

Read about NTT DATA’s Cloud Architecture and Modernization services.

See also our FAQs on 'Cloud modernization and migration'.

How does GCP simplify analytics through BigQuery and Data Fabric?

BigQuery provides a fully managed, serverless analytics warehouse capable of analyzing petabytes of data quickly. Combined with Data Fabric and Looker Studio, it delivers unified, real-time insight. NTT DATA helps organizations connect these services to operational systems, creating governed data pipelines that inform every business decision.

Learn about NTT DATA’s approach to AI and application modernization.

See also our FAQs on 'AI in the cloud'.

How can GenAI and agentic AI improve customer experience?

GenAI personalizes content, and agentic AI automates tasks that enhance service quality. NTT DATA integrates these capabilities through Vertex AI Agents, Dialogflow CX and our Responsible AI framework. The result is consistent, compliant engagement across digital channels: Customers get faster, smarter interactions while data stays protected.

Read about NTT DATA’s agentic AI services.

See also our FAQs on 'AI in the cloud'.

How can NTT DATA combine Google Cloud AI with industry-specific data models?

NTT DATA builds industry-ready solutions — banking, healthcare, manufacturing and more — using Google Cloud’s AI and analytics engines tailored to regulated data models. Our templates accelerate the deployment of compliant, sector-specific AI while maintaining flexibility for future enhancements.

Explore NTT DATA’s industry cloud solutions.

See also our FAQs on 'Industry clouds'.

How do automation and DevOps work in Google Cloud environments?

GCP integrates native DevOps tools — Cloud Build, Artifact Registry, Deployment Manager — that support continuous integration and deployment. NTT DATA adds policy as code, FinOps and security scanning to deliver rapid, compliant releases. Automation standardizes operations, improves quality and speeds up innovation cycles.

Read about NTT DATA’s Cloud Optimization services.

See also our FAQs on 'Cloud value and governance'.

What FinOps practices keep Google Cloud costs predictable?

NTT DATA’s FinOps framework integrates GCP Billing Data Exports, BigQuery dashboards and Looker visualizations to track spending in real time. Automated alerts highlight anomalies, and predictive analytics forecast usage to prevent overrun. The same data feeds sustainability metrics for ESG reporting.

Explore NTT DATA’s Cloud Optimization and FinOps services.

See also our FAQs on 'Cloud value and governance'.

How can NTT DATA secure APIs and workloads across hybrid and edge environments with Anthos?

Anthos Service Mesh and Config Management apply consistent policy and encryption from core to edge. NTT DATA deploys these tools to protect microservices traffic, manage certificates and automate patching across sites. Unified observability detects anomalies early, keeping operations safe and compliant.

Learn more about NTT DATA’s Cloud Platforms.

See also our FAQs on 'Secure and sovereign cloud'.

How does Google Cloud Marketplace simplify solution deployment?

Marketplace offers preverified software and data services that run natively on GCP. NTT DATA curates and integrates these solutions to speed up innovation and reduce procurement complexity. Clients can launch new capabilities in minutes, with built-in billing and support.

Explore NTT DATA’s Cloud services.

See also our FAQs on 'Hyperscaler ecosystems'.

How can organizations ensure compliance in Google Cloud projects?

Compliance depends on automation and auditability. NTT DATA builds policies using Cloud Security Command Center and Assured Workloads for region-specific regulation. Continuous monitoring and automated evidence generation simplify reporting and inspection.

Read NTT DATA’s sovereign cloud insights.

See also our FAQs on 'Secure and sovereign cloud'.

How does NTT DATA’s managed service model optimize ongoing GCP operations?

NTT DATA monitors, patches and optimizes Google Cloud environments around the clock from our Global Delivery Centers. We manage cost, security and performance using automated playbooks and predictive analytics. Regular reviews ensure innovation and ROI continue after migration.

Read about NTT DATA’s Cloud Optimization services.

See also our FAQs on 'Cloud value and governance'.

What metrics show ROI from Google Cloud modernization?

Key metrics include deployment frequency, system availability, time to insight and cost per transaction. NTT DATA links these KPIs to business outcomes such as revenue growth and customer satisfaction. Dashboards built in Looker track value continuously so leaders can prove ROI to stakeholders.

Explore C-suite perspectives on cloud success.

See also our FAQs on 'Cloud value and governance'.

How can joint NTT DATA–Google Cloud programs accelerate AI adoption?

Our partnership combines Google’s AI and data engineering expertise with NTT DATA’s industry knowledge and delivery scale. We co-invest in proofs of concept and accelerators that move AI from pilot project to production rapidly. Clients benefit from joint governance, shared funding and fast-track support for deployment.

Read more about NTT DATA’s partnership with Google Cloud.

See also our FAQs on 'Hyperscaler ecosystems'.

Industry

Industry clouds

Industry clouds are sector-specific platforms designed to meet regulatory, operational and data requirements. They accelerate transformation by embedding compliance and domain expertise into the architecture.

What is an industry cloud?

An industry cloud is a vertical platform that combines cloud infrastructure, data models and business applications tailored to a specific sector. Instead of building everything from scratch, organizations start with preconfigured services for compliance, analytics and AI that reflect their industry’s standards. NTT DATA designs and operates industry clouds for banking and insurance clients. These platforms give organizations the speed of public cloud with the precision of industry expertise, reducing time to value for transformation.

Explore NTT DATA’s industry cloud solutions.

See also our FAQs on 'Cloud value and governance'.

Why are vertical clouds becoming important to organizations?

Industry regulations and customer expectations are too specific for generic platforms. Vertical clouds embed compliance controls, data models and partner application programming interfaces (APIs) that make innovation faster and safer. NTT DATA codevelops these solutions with hyperscalers to give clients ready-to-use frameworks for AI, analytics and security. For leaders, this means less integration work and more focus on differentiation. Vertical clouds are the fastest route to market-ready innovation.

Explore NTT DATA’s industry cloud solutions.

See also our FAQs on 'Hyperscaler ecosystems'.

How do industry clouds differ from general cloud platforms?

General clouds provide infrastructure; industry clouds provide outcomes. They combine security, data and process templates specific to a sector to accelerate deployment and compliance. NTT DATA builds these environments on top of Amazon Web Services, Azure or Google Cloud infrastructure, adding governance, automation and AI models aligned to industry terminology. Clients gain the resilience and scale of hyperscale cloud plus turnkey business logic for their field. The result is faster ROI with lower risk.

Learn more about NTT DATA’s Cloud and IT Infrastructure services.

See also our FAQs on 'Hyperscaler ecosystems'.

What benefits do industry clouds deliver for different sectors?

Benefits range from compliance automation to deeper insight. For example, banks achieve faster onboarding and real-time fraud detection, and it becomes easier for insurers to launch personalized products. NTT DATA’s industry clouds embed AI and data pipelines so each sector can innovate confidently. Shared architectures lower costs while maintaining each client’s unique differentiation.

Read how industry clouds drive business outcomes.

See also our FAQs on 'Banking cloud' and 'Insurance cloud'.

Which industries are adopting industry clouds the fastest?

Financial services are leading adoption, due to regulatory complexity and the need for secure digital transformation. NTT DATA sees rapid momentum in banking and insurance as institutions modernize core platforms and adopt AI safely. Highly regulated industries value prebuilt compliance and security controls embedded in industry clouds.

Explore NTT DATA’s industry cloud solutions.

See also our FAQs on 'Banking cloud' and 'Insurance cloud'.

How do industry clouds address regulatory and data-sharing requirements?

Each industry cloud embeds rules specific to its sector — such as data or financial regulations — within its architecture. NTT DATA automates controls and auditing so compliance is continuous, not periodic. Secure data exchange and consent frameworks enable collaboration across partners without risk. Organizations gain a trusted ecosystem for AI and analytics that would otherwise be impossible under strict regulation.

Explore NTT DATA’s industry cloud solutions.

See also our FAQs on 'Secure and sovereign cloud'.

How does cloud standardization help accelerate innovation within industries?

Standardization creates a common language for data and processes, allowing organizations to innovate together. NTT DATA uses open APIs and data models within industry clouds so partners can connect services quickly. This reduces integration time and cost for new products while keeping governance intact. Shared standards turn competition into collaboration and extend innovation across entire ecosystems.

Read 'Industry cloud: where transformation meets specialization'.

See also our FAQs on 'Cloud modernization and migration'.

How do industry clouds help organizations modernize faster?

Industry clouds short-circuit the customization phase. NTT DATA delivers ready-made reference architectures, data pipelines and AI models for each sector, allowing clients to modernize in months instead of years. Built-in governance and security reduce the need for reengineering, while automation simplifies migration and testing. This means less technical risk and faster business impact.

Learn how NTT DATA accelerates cloud modernization.

See also our FAQs on 'Cloud modernization and migration'.

How do industry clouds integrate AI, analytics and ecosystem partners?

NTT DATA designs industry clouds with open data fabrics that connect to partner APIs and AI services securely. Embedded analytics turn shared data into insight for all participants in the ecosystem. By governing data access and model usage, industry clouds enable trusted AI at scale across value chains.

Discover NTT DATA’s AI and application modernization services.

See also our FAQs on 'AI in the cloud'.

What are the main building blocks of an industry cloud architecture?

Typical components include secure landing zones, industry-specific data models, integration APIs, analytics and AI services, and governance dashboards. NTT DATA assembles these on hyperscaler platforms using modular patterns so clients can start small and expand quickly. Automation connects governance and security from the infrastructure to the application layer. This blueprint turns industry best practice into operational reality.

Read about NTT DATA Cloud Architecture and Modernization services.

See also our FAQs on 'Cloud modernization and migration'.

How can companies co-innovate with partners through an industry cloud?

Industry clouds make collaboration frictionless. NTT DATA builds open platforms where organizations and partners can share trusted data and develop services together. Secure APIs, governance frameworks and AI toolkits let partners co-create without compromising confidentiality. Co-innovation in an industry cloud shortens product cycles and multiplies ideas across the ecosystem.

Explore NTT DATA’s industry cloud solutions.

See also our FAQs on 'Hyperscaler ecosystems'.

How do industry clouds support compliance across jurisdictions?

Regulation rarely stops at national borders. NTT DATA embeds region-specific policies — data residency, consent and encryption — into the core of its industry clouds. Automation applies the right controls for each jurisdiction, producing audit-ready reports in real time. Global organizations can therefore operate consistently while satisfying local authorities.

Explore NTT DATA’s private and sovereign cloud insights.

See also our FAQs on 'Secure and sovereign cloud'.

How do industry clouds create new revenue streams and business models?

Because data is centralized and secure, organizations can monetize insight responsibly. NTT DATA helps clients turn operational data into anonymized datasets and AI-powered services that partners can consume through APIs. Industry clouds shift revenue from one-time transactions to recurring, data-driven value.

Learn how cloud modernization unlocks new business models.

See also our FAQs on 'AI in the cloud'.

How do I decide whether my industry needs a vertical cloud?

Consider three triggers: Regulatory pressure, complex partner ecosystems and high data value. If any apply, a vertical cloud can speed up transformation. NTT DATA conducts readiness assessments comparing current maturity, integration cost and compliance risk against industry benchmarks.

Read about NTT DATA’s industry cloud readiness approach.

See also our FAQs on 'Cloud value and governance'.

How do I choose an industry cloud provider?

Look for sector expertise, open architecture and strong governance. NTT DATA combines domain experience with global hyperscaler partnerships, ensuring scalability without lock-in. When evaluating providers, prioritize those who can integrate AI, data and operations rather than just host them.

Read C-suite perspectives on breakthrough cloud success.

See also our FAQs on 'Hyperscaler ecosystems'.

Which KPIs show success for industry cloud adoption?

Key measures include time to launch for new products, compliance audit pass rate, partner-onboarding time and incremental revenue from data services. NTT DATA helps executives track these through built-in analytics dashboards aligned with financial and operational goals.

Explore NTT DATA’s Cloud Optimization and FinOps services.

See also our FAQs on 'Cloud value and governance'.

How do I measure value creation from industry cloud projects?

Value extends beyond IT metrics. NTT DATA helps clients quantify outcomes such as customer growth, reduced time to market and innovation pipeline acceleration. FinOps and analytics tools connect operational data to financial performance.

Read about NTT DATA’s C-suite ROI framework.

See also our FAQs on 'Cloud value and governance'.

What governance and security features should industry clouds include?

Every industry cloud should have end-to-end identity management, encryption, data lineage tracking and automated compliance reporting. NTT DATA adds continuous monitoring and AI-driven anomaly detection to protect sensitive data.

Explore NTT DATA’s industry cloud solutions.

See also our FAQs on 'Secure and sovereign cloud'.

How do industry-specific clouds evolve over time?

They expand through shared innovation. NTT DATA continually adds new APIs, data connectors and AI models as regulations or market needs change. Clients can contribute their own extensions, creating a living ecosystem that improves for everyone.

Read about NTT DATA’s industry cloud programs.

See also our FAQs on 'Hyperscaler ecosystems'.

How do industry clouds link to AI and analytics strategies?

AI is the intelligence layer of every industry cloud. NTT DATA integrates data pipelines, AI models and visual analytics dashboards so insights flow directly into business decisions. By uniting industry data and AI capabilities on one governed platform, organizations turn information into continuous innovation.

Learn more about NTT DATA’s AI and application modernization services.

See also our FAQs on 'AI in the cloud'.

Banking

Banking cloud

Banking cloud environments support secure core modernization and regulatory alignment in financial services. They enable scalable digital innovation while protecting sensitive financial data.

What is a banking cloud?

A banking cloud is a secure, compliant platform that lets financial institutions modernize operations while protecting sensitive data. It combines industry-specific controls with the scalability of hyperscale cloud. NTT DATA helps banks design hybrid and sovereign architectures that meet local regulations such as Basel III and the European Union’s General Data Protection Regulation (GDPR) while enabling real-time analytics and AI. With cloud, banks can launch digital products faster, improve resilience and build the trusted experiences customers expect.

Explore NTT DATA’s industry cloud services.

See also our FAQs on 'Secure and sovereign cloud'.

Why are banks moving their core systems to the cloud?

Legacy mainframes limit speed and innovation. Moving core banking to cloud lowers the total cost of ownership and makes integration with fintech ecosystems easier. NTT DATA supports progressive migration — starting with digital channels and analytics, then modernizing core processing using cloud-native microservices. Banks gain agility to launch new features in days rather than months while maintaining regulatory compliance. Cloud becomes the foundation for open banking and AI-driven personalization.

Read about NTT DATA’s Cloud Architecture and Modernization services.

See also our FAQs on 'Cloud modernization and migration'.

How does cloud help banks meet regulatory and resilience requirements?

Cloud automates compliance and strengthens resilience. NTT DATA builds controls for data residency, encryption and identity management directly into banking architectures. Continuous monitoring and automated audit trails prove adherence to frameworks such as PCI DSS and ISO 27001. Multiregion failover and disaster-recovery drills keep services running even under stress. Compliance moves from a manual exercise to a built-in capability.

Learn about NTT DATA’s private and sovereign cloud insights.

See also our FAQs on 'Secure and sovereign cloud'.

How does cloud support open banking and digital payments?

Cloud provides the flexible application programming interfaces (APIs) and security needed for open-banking ecosystems. NTT DATA helps banks implement API gateways, microservices and real-time data layers that connect safely to fintech partners. These architectures speed up onboarding and reduce friction in digital payment flows. By combining cloud scalability with governance frameworks, banks can innovate in partnership while retaining full control of customer data.

Read about NTT DATA Cloud Strategy and Transformation services.

See also our FAQs on 'Industry clouds'.

What risks should banks consider when migrating to cloud?

Primary risks include data sovereignty, third-party concentration and operational disruption. NTT DATA mitigates these risks through detailed risk assessment, multiregion deployment and shared-responsibility models. Encryption, identity and backup strategies ensure continuous compliance and resilience. Clear governance and vendor exit planning eliminate lock-in. Managing these proactively turns risk management into a source of trust with regulators and customers.

Read about NTT DATA Cloud Strategy and Transformation services.

See also our FAQs on 'Secure and sovereign cloud'.

How does cloud enable data-driven innovation in banking?

Cloud unlocks real-time analytics across the organization. NTT DATA builds unified data platforms that combine transactional, behavioral and third-party data under strict governance. AI models then deliver personalized offers, fraud detection and risk scoring in seconds. Cloud-based analytics turn data into a competitive differentiator, helping banks anticipate customer needs and manage risk dynamically.

Explore NTT DATA’s approach to AI and application modernization.

See also our FAQs on 'AI in the cloud'.

How do banks modernize core systems on cloud?

NTT DATA follows a phased approach: Assess legacy workloads, migrate noncritical services and then refactor core applications into microservices running on container platforms such as Azure Kubernetes Service or Amazon Web Services EKS. Automated testing and continuous integration and continuous delivery (CI/CD) pipelines ensure reliability. Our banking accelerators include prebuilt APIs, data models and compliance templates to shorten delivery. The outcome is a scalable, compliant and future-ready core.

Learn about NTT DATA’s Cloud Architecture and Modernization services.

See also our FAQs on 'Cloud modernization and migration'.

How can AI and analytics help detect fraud and manage risk?

AI detects anomalies across billions of transactions faster than rule-based systems. NTT DATA integrates machine-learning models into cloud data pipelines to identify suspicious behavior and automate alerts. Combined with visual analytics, these tools give risk teams real-time insight without breaching privacy. Cloud elasticity allows models to scale instantly during high-volume events, strengthening security and compliance.

Explore NTT DATA’s approach to AI and application modernization.

See also our FAQs on 'AI in the cloud'.

How do banks manage data sovereignty across regions?

Data location is critical in finance. NTT DATA designs multiregion architectures with clear residency boundaries, ensuring data never leaves approved jurisdictions. Encryption keys remain customer-owned, and audit logs verify access. We partner with regional hyperscalers to combine local compliance with global innovation. This balance satisfies regulators and supports cross-border banking.

Read about NTT DATA’s sovereign cloud solutions.

See also our FAQs on 'Secure and sovereign cloud'.

How does cloud help banks launch new products faster?

Modern cloud platforms let banks create, test and scale products using microservices and automation. NTT DATA implements agile delivery pipelines with integrated security and compliance checks, so new offerings move from concept to customer quickly. Cloud-based analytics provide instant feedback, enabling continuous improvement. Speed to market increases while risk decreases — it’s how innovation and compliance work together.

Explore C-suite perspectives on cloud success.

See also our FAQs on 'Cloud modernization and migration'.

Insurance

Insurance cloud

Insurance cloud platforms connect policy, claims and underwriting systems in governed environments. They support automation, analytics and regulatory compliance while improving customer experience and operational efficiency.

What is an insurance cloud?

An insurance cloud is a secure digital platform that connects policy, claims, underwriting and customer-experience systems in one governed environment. It gives insurers the agility of cloud computing with the compliance controls the industry demands. NTT DATA designs multicloud and sovereign architectures that support automation, AI-driven underwriting and advanced analytics for risk and pricing. By moving to the cloud, insurers shorten product cycles, improve service speed and deliver the personalized experiences policyholders expect.

Explore NTT DATA’s industry cloud services.

See also our FAQs on 'Industry clouds'.

Why are insurers adopting cloud platforms?

Insurers face pressure to cut costs while innovating faster. Legacy policy-administration systems make that difficult. Cloud platforms deliver scalability, resilience and the digital foundations for AI and automation. NTT DATA helps insurers modernize core systems incrementally, using cloud-native services to improve underwriting, claims and customer engagement. The shift improves speed to market for new products and enables ecosystem integration with reinsurers and insurtechs.

See how to win big with AI-powered cloud modernization.

See also our FAQs on 'Cloud modernization and migration'.

How does cloud enable faster product launches?

Cloud simplifies the entire product development lifecycle. NTT DATA implements API-driven architectures and automated testing so actuaries and developers can collaborate in real time. Parameter changes or pricing updates can be rolled out instantly across channels. Built-in analytics measure uptake and profitability within days of launch. This continuous delivery model turns traditional releases into ongoing innovation.

Discover NTT DATA’s Cloud Architecture and Modernization services.

See also our FAQs on 'Cloud modernization and migration'.

How does cloud improve claims processing and customer service?

Claims are the insurer’s moment of truth. With cloud-based AI and analytics, NTT DATA helps carriers automate triage, document review and fraud detection while keeping adjusters focused on empathy and resolution. Self-service portals and chatbots running on secure cloud environments provide 24x7 status updates to customers. Integrated data flows limit the need for rekeying and remove errors, cutting processing time dramatically. Faster claims build trust and reduce cost per claim.

Learn how AI and cloud elevate customer experience.

See also our FAQs on 'AI in the cloud'.

How does cloud affect regulatory reporting in insurance?

Cloud automates reporting and audit trails. NTT DATA integrates compliance frameworks such as Solvency II and IFRS 17 into insurers’ data pipelines so that every transaction is traceable. Dashboards deliver real-time oversight to finance and risk officers. Automated validation reduces manual work and errors, while secure archives satisfy retention policies. Reporting becomes a continuous process rather than an end-of-period scramble.

Explore NTT DATA’s Cloud Strategy and Transformation services.

See also our FAQs on 'Secure and sovereign cloud'.

How can insurers modernize legacy policy systems on cloud?

NTT DATA applies a phased modernization model: Migrate databases to managed cloud services, expose core functions through application programming interfaces (APIs) and then refactor monoliths into microservices. We provide accelerators for policy, billing and claims modules to cut development time. Continuous integration and continuous delivery (CI/CD) pipelines ensure rapid, secure deployments. This approach delivers quick wins while building toward a fully digital core.

Learn about NTT DATA’s application modernization services for Microsoft Azure.

See also our FAQs on 'Cloud modernization and migration'.

How do AI and automation streamline underwriting and claims?

AI analyzes risk and automates routine decisions. NTT DATA deploys machine-learning models that read documents, extract key data and flag anomalies. Underwriters get instant insight to price policies more accurately, while claims teams detect potential fraud earlier. Cloud scalability lets AI process thousands of records in seconds, improving speed and consistency. Human expertise focuses on exceptions where judgment adds value.

Discover NTT DATA’s approach to AI and application modernization.

See also our FAQs on 'AI in the cloud'.

How does cloud help meet compliance requirements?

Compliance is built into the architecture. NTT DATA designs environments with automated controls for data residency, encryption and access management. Audit logs capture every change, producing evidence for regulators instantly. We align our frameworks with the US National Association of Insurance Commissioners, the European Union’s General Data Protection Regulation (GDPR) and Solvency II so that compliance is continuous, not reactive. Cloud therefore reduces regulatory risk while freeing teams to focus on growth.

Explore NTT DATA’s sovereign and private cloud approach.

See also our FAQs on 'Secure and sovereign cloud'.

How can insurers use data platforms to personalize experiences?

Customer loyalty grows from relevance. NTT DATA builds cloud-based data platforms that merge policy, claims and external data under strict privacy controls. AI then predicts customer needs and suggests next best offers across channels. Integrated analytics measure engagement so products and communications improve continuously. Personalization at scale becomes possible only with unified cloud data.

Explore NTT DATA’s approach to AI and application modernization.

See also our FAQs on 'AI in the cloud'.

How does cloud support usage-based or on-demand insurance models?

Usage-based products rely on real-time data from IoT devices or partner APIs. NTT DATA uses cloud analytics pipelines and AI models to process this data instantly for dynamic pricing and risk assessment. Automated billing and policy-adjustment systems scale automatically with demand. This flexibility allows insurers to launch innovative pay-as-you-go or on-demand offerings that attract new segments while controlling exposure.

Discover NTT DATA’s Cloud Architecture and Modernization services.

See also our FAQs on 'AI in the cloud'.