私人和主权AI在行动

AI infrastructure for regulatedand competitive environments Private and sovereign AI provide the foundation for secureAI adoption at scale. They enable organizations to modernizecritical services with confidence, mitigating cyber risk,reducing regulatory exposure and building operationalresilience. These client stories demonstrate how we havehelped organizations in a range of industries to implementprivate and sovereign AI to balance innovation, control andoperational confidence. Organizations in regulated industries areunder pressure to leverage AI for competitiveadvantage while maintaining strict control oversensitive data and complying with diverse regulatoryframeworks. From financial services and healthcareto critical infrastructure, innovation must take placewithin clearly governed environments. Protecting high-value intellectualproperty in a multipolar world Global intellectual propertymanagement leader Rather than forcing a single model, NTT DATA defineda sovereign-by-design architecture where: •Sensitive data remains in controlled environments•AI services are integrated with strict access andpolicy enforcement•Governance is embedded in infrastructure, notadded later We helped our client progress from early-stageand evolving AI initiatives to an integrated,well-governed sovereign AI operating model thatstrengthened client trust and improved controlacross jurisdictions. The target architecture is built on: •Dedicated infrastructure aligned to regional dataresidency requirements•Secure private AI environments for sensitive workloads•AI-enabled automation layered on compliantdata foundations•Embedded security, monitoring andgovernance mechanisms Business need A global intellectual property (IP) services providermanaging highly sensitive patent and legal data acrossmultiple jurisdictions faced mounting pressure to: •Meet strict data residency and regulatory requirements•Protect proprietary IP from cross-border risk•Reduce hyperscaler dependency•Introduce intelligent automation with predictable cost Outcomes •Full visibility of and fine-grained control over globalAI operations•Reduced exposure to cross-border regulatory andsovereignty risk•Accelerated transition from pilot to production forAI-enabled services•Greater cost predictability through sovereigninfrastructure governance The organization had to deliver innovation while balancingcost, compliance and control. Solution We designed and implemented the core AI infrastructurefor a managed sovereign AI platform. Legacy IPmanagement systems are being retrofitted to operatewithin this model. AI innovation underdefense-gradeconstraints Global aerospaceand defense leader For this client, AI has become an innovation accelerator— not only compliance-driven — that strengthensoperational control and national resilience. Business need A multinational aerospace and defense organization needed toscale AI across manufacturing and engineering environmentswhile complying with: •National defense regulations•Strict export controls•Sovereign infrastructure mandates AI innovation could not compromise compliance, controlor national oversight. Solution NTT DATA implemented a full-stack sovereignAI platform, integrating: •Region-specific air-gapped infrastructure•Private AI model environments for classified workloads•Secure integration across the client’s internal ecosystem•Continuous compliance and audit-ready governance•Full software stack to manage MLOps/LLMOps cycles Outcomes •Alignment with defense-grade compliance mandates•Reduced integration complexity through unified governance•Increased resilience against geopolitical andsupply-chain disruption•Clear separation of the client’s different internal business units•Consolidated identity and access management•Common policy enforcement across environments Accelerating clinicalinnovation whileprotecting patient data Leading cancer-researchhospital Outcomes •A scalable research environment supporting continuousinnovation pipelines•Enhanced governance and audit-readiness•Reduced operational and reputational risk in handlingsensitive patient data•Accelerated AI research within a controlled AIfactory framework•Repeatable, industrialized AI research capability,ready to support clinical adoption pathways A leading hospital group moved from experimentalAI initiatives to an industrialized, governed AIresearch capability. This transformation enablesthe group to innovate at scale while maintainingstrong control over sensitive patient data. Business need A world-renowned cancer-research hospital soughtto expand the use of AI across medical imaging research,with a focus on developing and evaluating newalgorithms to support future advances incancer diagnosis. The hospital group faced strict requirements regarding: •Patient data sovereignty•Model training governance•Clinical-grade compliance Innovation needed to progress within a controlled researchenvironment, balancing regulatory compliance, costc