A common use case in the bot-verse is the ability to hand over a customer conversation from a bot to a human, and the vital need for a feedback loop for this kind of scenario. From this, we developed a Hand-off Dashboard Template that can be used within the Ibex dashboard to provide users with important information about how their bot and agents are working with customers.
This article describes how to use GitHub, Travis CI and Docker Compose to build a simple continuous delivery pipeline to deploy Linux Docker containers to a Service Fabric cluster of Linux hosts.
This article covers how to take a standard Python web service consisting of an application tier, a WSGI server, and a Nginx reverse proxy and deploy it via Linux containers to a Linux cluster managed by Azure Service Fabric using only simple tooling like Docker Compose.
When it comes to identifying and understanding influential voices in social media, context is key. See how we used topic detection, sentiment analysis, and Azure Functions to automate context-aware social media insights.
This story covers how to get started with transfer-learning and build image classification models in Python with the Custom Vision Service. We compare the results with the popular Tensorflow-based models Inception and MobileNet.
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.
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.