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Nov 20, 2017
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Permissively-Licensed Named Entity Recognition on the JVM

Clemens Wolff

The ability to correctly identify entities, such as places, people, and organizations, adds a powerful level of natural language understanding to applications. This post introduces a MIT-licensed one-click deployment to Azure for web services that lets developers get started with a wide range of natural language tasks in 5 minutes or less, by consuming simple HTTP services for language identification, tokenization, part-of-speech-tagging and named entity recognition.

Nov 1, 2017
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Building a Custom Spark Connector for Near Real-Time Speech-to-Text Transcription

Clemens Wolff

This post describes in detail the Azure Cognitive Services speech-to-text WebSocket protocol and shows how to implement the protocol in Java. This enables us to transcribe audio to text in near real-time. We then show how to feed the transcribed radio into a pipeline based on Spark Streaming for further analysis, augmentation, and aggregation. The Java client is reusable across a wide range of text-to-speech scenarios that require time-efficient speech-to-text transcription in more than 10 languages including English, French, Spanish, German and Chinese.

Oct 24, 2017
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Bird Detection with Azure ML Workbench

Olga Liakhovich

We demonstrate how to train Object Detection models using CNTK and Tensoflow DNN frameworks. Azure ML Workbench is used as the main training and model hosting infrastructure.

Oct 9, 2017
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Moving High Scale Data and Compute from AWS to Azure for The Emedgene Genetics Intelligence Platform

Tomer Rosenthal

We demonstrate how we migrated the compute resources of a genomics intelligence platform to Azure, transferring more than 100 TB of blob storage and handling application secrets without embedding the Azure SDK.

Sep 28, 2017
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Creating a Data Visualization GraphQL Server with a Loosely Coupled Schema

Elad Iwanir

We share how we built a flexible data visualization dashboard by leveraging the GraphQL stack.

Sep 26, 2017
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Custom Analytics Dashboard for Application Insights

Mor Shemesh

We created an easy-to-use tool for visualizing data from Microsoft Azure Application Insights with a dashboard framework. Our solution can be applied to different bot scenarios as well as other scenarios involving the service.

Sep 15, 2017
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Using Microsoft Bot Framework as a Proxy to Publish your Bot Stack

Ami Turgman

With our solution, users can publish bot dialogs from any backend directly to MIcrosoft Bot Framework channels, with custom Navigator logic if needed.

Aug 7, 2017
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Developing a Custom Search Engine for an Expert Chat System

Mona Soliman Habib

We address the challenge of creating a custom search experience for a specific domain area. We also provide a guide for creating your own custom search experience by leveraging Azure Search and Cognitive Services and sharing custom code for iterative testing, measurement and indexer redeployment.

Jul 31, 2017
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Using Object Detection for Complex Image Classification Scenarios

Ari Bornstein

An overview of different image classification approaches including Microsoft Azure Custom Vision Service and CNTK for various levels of classification complexity.