ISE Developer Blog
Solving global tech challenges, sharing insights, and empowering developers
Latest posts
Stock Market Predictions with Natural Language Deep Learning
We developed a deep learning model using a one-dimensional convolutional neural network to predict future stock market performance of companies using Azure Machine Learning Workbench and Keras.
Autoscaling Deep Learning Training with Kubernetes
We explore how we worked with a customer to add autoscaling capability to a Kubernetes cluster to meet bursty demands for deep learning training in a cost-efficient manner.
Permissively-Licensed Named Entity Recognition on the JVM
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.
Building a Custom Spark Connector for Near Real-Time Speech-to-Text Transcription
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.
Bird Detection with Azure ML Workbench
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.
Moving High Scale Data and Compute from AWS to Azure for The Emedgene Genetics Intelligence Platform
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.
Creating a Data Visualization GraphQL Server with a Loosely Coupled Schema
We share how we built a flexible data visualization dashboard by leveraging the GraphQL stack.
Custom Analytics Dashboard for Application Insights
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.
Using Microsoft Bot Framework as a Proxy to Publish your Bot Stack
With our solution, users can publish bot dialogs from any backend directly to MIcrosoft Bot Framework channels, with custom Navigator logic if needed.