One of the recent Azure Cognitive Services additions is Azure OpenAI, a cloud-based resource that offers enterprise-grade capabilities typical of an Azure service (e.g. private networking, regional availability, and responsible AI content filtering) and provides access to OpenAI's generative AI models like GPT-3 and Codex.
Read MoreMetrics Advisor is an Azure Cognitive Service that uses AI to automate the detection of anomalies in time series data. The service is able to ingest metric data from a variety of sources (e.g. Azure Data Lake Storage, Azure Cosmos DB, Azure SQL Database, etc), use machine learning to automatically find outliers, and provide diagnostic insights to aid root cause analysis.
Read MoreForm Recognizer is an AI powered document extraction service. An extension to the Vision family of Azure Cognitive Services, Form Recnogizer is able to extract key-value pairs and table data from documents by training a custom model off of a small training data set.
Read MoreDevelop your own OCR (Image to Text) application on iOS (iPhone or iPad) with zero lines of code using Workflow and Microsoft’s Cognitive Services.
Read MoreBy tapping into the Optical Character Recognition (OCR) capabilities of Microsoft’s Computer Vision API (part of the Cognitive Services suite), I will show how you can extract text from images.
Read MoreLearn how to create an AI powered chatbot in minutes with zero lines of code. Using QnA Maker and Azure Bot Service, we build and deploy a Slack chatbot that can answer Tesla's frequently asked questions for new owners.
Read MoreWith Bing Speech API, I will show you how to convert human speech (i.e. audio) to text. Bing Speech API is part of the Azure Cognitive Services suite and shares the same speech recognition technology used by other Microsoft products such as Cortana.
Read MoreIn this post, I show how easy it is to take advantage of Text Analytics, a cloud-based offering from Microsoft's suite of Cognitive Services. I'll demonstrate language detection, key phrase extraction, and a deeper dive into sentiment analysis parsing 3000 IMDB user reviews.
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