Podkasten «Azure for Executives»
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Using Cognitive Services with Containers
This episode introduces containers for AI cognitive services.
There are some industries today limited in what they can do with AI. This is because all of the AI services that we've built are running in the cloud, because of regulatory reasons, sensitivity reasons or other reasons (data governance or performance) they're not able to actually call those services in the cloud.
Containers from Cognitive Services opens a whole new world of possibilities enabling customers to take advantage of the AI right in their own control, in their own context, within their own network. Basically on their own terms and in their own control.
Container support in Azure Cognitive Services allows developers to use the same rich APIs that are available in Azure, and enables flexibility in where to deploy and host the services that come with Docker containers. Container support is currently available in preview for a subset of Azure Cognitive Services, including parts of Computer Vision, Face, Text Analytics, and Language Understanding (LUIS).
- Getting started with Azure Cognitive Services in containers
- Bringing AI to the edge
- Container support in Azure Cognitive Services
Phani Mutyalais is a Senior Program Manager with the Applied AI team at Microsoft. He focuses on running container strategy and execution for Cognitive Services.
Phani has deep experience in building and running large scale platforms on public clouds and more recently with container platforms.
He is super passionate about Cloud, Containers, Machine Learning and AI technologies and is a continuous learner.
In addition to being the host of this podcast, David is a Principal Cloud Solutions architect at Microsoft, focusing on healthcare. He loves creating with code and with large systems supporting scale.
He enjoys all aspects of developing, delivering and operating software systems. He is also passionate about the end-to-end process, methods and techniques, and the patterns and practices of high performing software development teams, using skills that transcend specific technology stacks.
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