Azure data science consulting in Houston from DESSS helps you turn data you already hold in Microsoft systems into forecasts, risk scores and AI assistants. We handle data preparation, model development, deployment and monitoring, using Azure Machine Learning, Microsoft Fabric and Azure OpenAI.
Most companies get the best results from a few focused problems: forecasting demand, predicting equipment failures, scoring customers, or searching and summarizing documents. We help you choose problems where the data can support a reliable model and the result will change a decision.
If the data needs work first, our data warehouse consulting team can build the governed foundation in Fabric or Azure that good models need.
Our Azure data science consulting services cover six areas, from choosing the first use case to running models in production.
These are the projects that most often bring Houston teams to us, and how we approach each one.
How do you use Azure Machine Learning? Our Azure Machine Learning consulting in Houston covers workspace and network setup, compute clusters, AutoML and custom training, managed online and batch endpoints, and model monitoring. Access is tied to Microsoft Entra ID so it fits your existing security model.
Can we do data science in Fabric? Yes. Fabric includes notebooks, MLflow experiment tracking and model scoring that work directly on OneLake data. Our Microsoft Fabric consulting in Houston helps teams that already use Fabric or Power BI add data science without moving data to another platform.
How do we use generative AI safely? Our Azure OpenAI consulting in Houston builds assistants and document tools that answer from your own content using Azure AI Search. We set up private networking, content filtering, access controls and usage monitoring so data stays in your Azure tenant.
For a wider AI roadmap, see our AI consulting services.
What can we predict? Our Azure predictive analytics services in Houston build models for demand forecasting, customer churn, payment risk, inventory planning and equipment failure. Each model is compared with the method you use today, and results appear in Power BI.
How do energy companies use Azure data science? Houston oil and gas companies on Microsoft use Azure data science for production forecasting, predictive maintenance on rotating equipment, sensor anomaly detection and searching engineering and safety documents with Azure OpenAI.
Six steps, with a go or no-go decision before production work begins.
Good models need good data, a secure Azure foundation and reporting people use.
A model only creates value when it is in production and people use it.
DESSS Azure data science consulting includes use case assessment, data preparation, Azure Machine Learning and Microsoft Fabric data science, predictive analytics, Azure MLOps and Azure OpenAI implementation.
Fabric suits teams that already keep data in OneLake and report in Power BI. Azure Machine Learning offers more control for complex training, real-time endpoints and MLOps. Many companies use both.
Azure OpenAI runs inside Microsoft Azure under your subscription. We add private networking, access controls and content filtering, and review data handling with your security team.
It depends on the data and the use case. We aim to reach a go or no-go decision on a prototype early, before committing to production work.
Yes. Forecasts and scores are usually written to tables that Power BI reports read, so users see predictions next to their existing metrics.
Yes. We build forecasting, predictive maintenance and document search solutions on Azure for Houston energy companies.
Book a short call about Azure data science consulting in Houston. We will discuss your data, your Microsoft tools and how to get a first model into production.
DESSS services that support data science on Azure, from cloud foundations to data platforms and Power BI.