Azure AI Services

Microsoft Azure offers a variety of AI solutions that are designed specifically for developers and data scientists. One can leverage the top-quality AI models for vision, speech, language, and deciding via simple API calls.

Various AI services offered by MS Azure are:

Azure Applied AI Services – Applied AI Services provides you with a combined use of Azure Cognitive Services, task-specific AI and business logic to help modernize the business,

Advantages of AI services:

Various Azure AI Applied Services are:

Azure Cognitive Services – Cognitive Services brings in the use of simple API calls to leverage AI using well-trained models. Using API calls, the ability to speak, hear, see, search, understand and speed up the decision-making of the application. Do not require extremely skilled developers to integrate AI capabilities.

Various cognitive services are:

Azure Machine Learning – Using Azure ML and Azure Databricks, one can easily build, train and deploy machine learning models in a very short time. Azure ML helps in easily developing ML models using the latest tools like Jupyter and VS Code, along with frameworks like TensorFlow, Scikit-Learn, and PyTorch Enterprise

In Azure Machine Learning, one can run training scripts in the cloud or build a model from scratch. Often the popular models that are available in the open-source world are preferred. Azure ML integrates with the Azure cloud platform to add a layer of security to the ML projects.

Common integrations are:

AI Infrastructure – Leverage one of the most advanced, large-scale, proven AI infrastructures that are powering AI in Xbox, HoloLens, and Microsoft Teams.

Author Details

Roy Maria John

Roy M J is a Technology Architect with Infosys. He is a Digital Transformation Specialist associated with Digital Experience IP Platforms & Frameworks in Infosys. He helps in delivering digital transformation for large enterprises across the globe via Live Enterprise Interactions Suite and Digital Marketplace Platforms. He has rich experience in Web technologies primarily on the JavaScript stack. He is part of Cloud and Emerging Technologies track in the Digital Technology Council.

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