Azure data and applied AI
Microsoft Data and AI
Deliver Microsoft data platforms, analytics, Fabric, Azure AI, Copilot patterns, and governed AI adoption.
Modern data foundations
Microsoft data work can include Fabric, Power BI, Azure SQL, Synapse patterns, Data Factory, lakehouse design, cataloging, and quality controls.
Analytics that business teams can trust
Semantic models, governed reports, lineage, ownership, refresh monitoring, and documentation help teams make decisions from shared definitions.
Azure AI and Copilot readiness
AI initiatives are shaped around use cases, data access, retrieval design, evaluation, privacy, security, adoption, and cost visibility.
Production operating model
Data and AI platforms need deployment patterns, monitoring, access reviews, incident handling, and improvement loops to stay useful.
How InSkyto helps
Platform choices connected to delivery outcomes
Match Microsoft, AWS, and Google services to governance, identity, data, and adoption requirements.
Use proven patterns for tenant configuration, cloud foundations, access control, automation, and monitoring.
Document ownership, cost, compliance evidence, support boundaries, and improvement routines for each platform.