Simplify machine learning with Azure Applied AI Services
Coming to grips with machine learning needn’t require vast amounts of labeled data, a team of data scientists, and a lot of compute time. The state of the art in modern artificial intelligence has reached a point where there are now models that are sufficiently general purpose (within their own domains, of course) that they can be dropped into your applications without additional training and customization.We’ve seen some of this with the evolution from Project Adam to Azure Cognitive Services. Now Microsoft is taking the next step, using that foundation to deliver a set of machine learning models that provide assistance with common tasks: Azure Applied AI Services. We’ve already seen some of this with the Power Platform’s new document automation tool in Power Automate. Here a prebuilt model extracts information from documents, storing it for use in other applications, going from human-readable to machine-readable with no code.To read this article in full, please click here
Coming to grips with machine learning needn’t require vast amounts of labeled data, a team of data scientists, and a lot of compute time. The state of the art in modern artificial intelligence has reached a point where there are now models that are sufficiently general purpose (within their own domains, of course) that they can be dropped into your applications without additional training and customization.
We’ve seen some of this with the evolution from Project Adam to Azure Cognitive Services. Now Microsoft is taking the next step, using that foundation to deliver a set of machine learning models that provide assistance with common tasks: Azure Applied AI Services. We’ve already seen some of this with the Power Platform’s new document automation tool in Power Automate. Here a prebuilt model extracts information from documents, storing it for use in other applications, going from human-readable to machine-readable with no code.
