Leverage the Benefits of AI and ML on Microsoft Azure
Efficient AIOps and MLOps
Microsoft Azure offers elastic resource scaling and lower overall resource acquisition costs compared to on-prem, driving down the cost of AIOps and MLOps in the cloud.
Edge computing is a new computing paradigm that aims to bring data center resources closer to the user or data source, reducing latency and improving performance. This will improve the efficiency of AIOps and MLOps on Azure.
Pre-trained ML models
Custom model will offer more tailored processing for niche workloads, many ML workloads can be performed using pre-trained models on Azure. These models are available through MicrosoftML for R for statistical workloads and MicrosoftML for Python.
ECF Data offering Azure AI and ML Services
Azure Machine Learning
Azure Bot Service
How can ECF Data help your business with Microsoft Azure Machine Learning ?
ECF Data’s Azure experts can perform a full candidacy assessment of your existing Azure infrastructure to determine your suitability for AIOps and MLOps. We can also determine candidacy for enterprises looking to migrate from on-premises to Azure. If we deem you suitable, we can help you start leveraging the extensive functionality present on the Azure AI and Azure Machine Learning platforms. We help you to get the full use of Azure ML and AI services. Design your models / algorithms using a drag and drop visual interface that requires no coding or programming knowledge.
- Digest enormous data
- Accumulate information
- Scale and create patterns
- Deliver analysis and forecasts
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