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

Connect applications, data and devices through API-led integration and automation.
Agentic automation orchestrating robots, AI agents and people across business processes.
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.
Multimodal reasoning and agentic systems for high-value enterprise workflows.
Long-context reasoning for careful, knowledge-intensive enterprise work.
Multimodal intelligence connected to data, productivity and cloud workflows.
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.
A cloud data platform for governed analytics, collaboration and AI-ready workloads.
Enterprise-scale data and analytics for demanding, business-critical workloads.
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.
Accelerated computing for enterprise AI, simulation and high-performance workloads.
The full enterprise AI portfolio — Copilot, Microsoft Foundry and Azure underneath.
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.
Enterprise infrastructure spanning compute, storage, edge and AI-ready systems.
A unified hybrid multicloud platform for applications, data and operations.
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 broad customer platform for sales, service, marketing, data and intelligent workflows.
A connected customer platform for marketing, sales, service and content teams.
38 technologies
Frontier AI Models
Hybrid Infrastructure
Cloud & Accelerated Computing
Cloud & Accelerated Computing
Integration & Connectivity
Hybrid Infrastructure
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Data Platforms
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