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Data & AI Partner on Microsoft Azure
We deliver next-level analytics through our expertise on Azure.
Certified Expertise in Azure Data Services
We specialize in using Microsoft Azure’s comprehensive suite of data services, including Azure SQL Database, Azure Cosmos DB, and Azure Data Lake. Efficiently store, manage, and analyze large volumes of data with high performance and scalability.
Certified Expertise in Azure Data Services
Utilizing Azure’s AI and Machine Learning platforms, we automate processes, gain predictive insights, and enhance customer experiences through advanced AI capabilities.
Skyloop on Microsoft Azure AI
How does “Microsoft Solutions Partner for Data & AI (Azure)” benefit my business?
It confirms Skyloop meets Microsoft’s competency standards for data, analytics, and AI on Azure. You will get proven methods, faster delivery, and access to Microsoft programs.
What’s the first step for me? Do you offer a discovery workshop or assessment?
Yes. We start with a short assessment to define your goals, data sources, compliance needs, and success metrics, then propose a roadmap.
Can you run a quick PoC/MVP before a full project?
Absolutely. We validate feasibility and ROI with a time-boxed PoC/MVP, then scale the architecture if results meet targets.
Do you build RAG/Generative AI solutions with Azure OpenAI Service and Azure AI Search?
Yes. We implement RAG using Azure OpenAI, Azure AI Search (vector), and secure data connectors, governed by your privacy and compliance rules.
How do you protect sensitive data (PII/PHI) on Azure?
We apply zero-trust controls, Azure AD/Entra ID, Key Vault, managed identities, encryption at rest/in transit, data masking, and Purview for governance.
How do you choose between different Azure solutions like Fabric, Synapse, and Databricks?
We match needs to strengths: Fabric for unified SaaS analytics, Synapse for integrated warehousing + pipelines, Databricks for advanced Spark/ML workloads.
How do you manage cost optimization and FinOps on Azure?
We right-size compute, use autoscaling and spot/burst where suitable, tier storage, set budgets/alerts, and review spend with FinOps practices.
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