Capabilities01

Capabilities organized around the value they create.

Independent profiles of the technologies shaping enterprise data, AI, cloud and infrastructure — organized by the capability each one delivers.

Ecosystem index
07
Value categories
15
Featured technologies
Explore by capability
01 / 07

Data Governance & Management

Make trusted data usable across the enterprise.

AI and analytics only create value when the underlying data is discoverable, understood, protected and fit for purpose.

Governance platforms connect policy to daily data operations — cataloging assets, tracking lineage, enforcing quality and privacy rules, and establishing clear ownership across fragmented estates.

  • Shared definitions and accountable ownership
  • Reliable data for analytics and AI
  • Policy, lineage and privacy built into delivery
AI-ready data foundationsCustomer and product master dataRegulatory reportingGoverned self-service data
02 / 07

Integration & Connectivity

Turn disconnected systems into a reusable business platform.

Point-to-point connections become brittle as applications, clouds and AI agents multiply. Enterprises need governed interfaces that can evolve without slowing delivery.

Integration and automation platforms provide governed APIs, orchestration and robots so teams connect once, reuse capabilities and modernize without destabilizing core systems.

  • Reusable APIs instead of repeated custom work
  • Consistent access to systems and data
  • Faster change across legacy and cloud estates
Legacy modernizationCustomer 360 integrationAgent-ready enterprise APIsEvent-driven operations
03 / 07

Frontier AI Models

Put the right intelligence behind the right enterprise work.

Model choice is only one decision. Value depends on grounding, evaluation, security, orchestration and clear human accountability.

Frontier model providers differ in reasoning, context length, modality, deployment options and governance tooling. Enterprise evaluation usually centers on workload fit, grounding, security controls and evaluation discipline.

  • Model choice aligned to each workload
  • Governed access to enterprise context
  • Production patterns for agents and copilots
Knowledge assistantsComplex document analysisSoftware engineeringMultimodal field support
04 / 07

Data Platforms

Create a governed foundation for analytics and AI at scale.

Enterprise data platforms must balance performance, interoperability, cost control and governance while serving very different workloads and users.

Modern data platforms separate storage and compute, support governed sharing and increasingly run AI workloads close to the data. Evaluation weighs workload performance, interoperability, cost control and governance.

  • One governed foundation for data products
  • Workload performance with clearer control
  • Secure collaboration across teams
Enterprise analyticsData products and sharingAI feature pipelinesCloud data modernization
05 / 07

Cloud & Accelerated Computing

Match cloud scale and accelerated compute to business demand.

AI, simulation and modern digital services require specialized compute, disciplined cloud foundations and a clear route from development to production.

Cloud and accelerated-computing portfolios supply elastic capacity, GPU acceleration and managed AI services. Evaluation weighs workload placement, ecosystem fit, sovereignty requirements and consumption governance.

  • Right-sized compute for demanding workloads
  • Secure platforms from development to production
  • Clearer control of capacity and consumption
AI training and inferenceIndustrial simulationCloud-native applicationsHigh-performance analytics
06 / 07

Hybrid Infrastructure

Run critical workloads with choice, resilience and control.

Core, edge and AI workloads rarely live in one place. Infrastructure must operate consistently across locations while meeting performance, security and continuity needs.

Hybrid infrastructure portfolios span compute, storage, virtualization, networking and security across core, cloud and edge. Evaluation weighs operational consistency, lifecycle management, resilience and AI readiness.

  • Consistent operations across core, cloud and edge
  • Infrastructure prepared for modern and AI workloads
  • Simpler lifecycle and resilience management
Data center modernizationPrivate and hybrid cloudEdge operationsAI-ready infrastructure
07 / 07

Customer Platforms

Connect every customer interaction to data and action.

Customer experience spans sales, service, marketing and contact channels. Fragmented platforms hide context and slow response.

Customer platforms unify records, engagement channels and automation so teams act on shared customer context. Evaluation typically weighs data model fit, AI capabilities, integration depth and total cost of ownership.

  • A shared view of each customer
  • Automated, consistent service and sales workflows
  • Customer data ready for AI assistance
CRM modernizationContact center operationsMarketing automationCustomer analytics

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