Showing archive results for 2017

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

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.

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

We built a bot with Microsoft Bot Framework (MBF) to tap into a multitude of channels, including a client's existing Android app, and implemented localization features, to connect with potential customers on their preferred online platforms.

Claiming expenses is usually a manual process. This project aims to improve the efficiency of receipt processing by looking into ways to automate this process.  This code story describes how we created a skeletal framework to achieve the following: We found a few challenges in addressing these goals. For instance, the quality of...

We collaborated on an image classification pipeline to perform automatic face detection and matching using machine learning via Microsoft Cognitive Services Face API. Our project was built with Azure Functions to process images using message queues.

When considering bots, it’s often important for organizations to have the ability to “hand off” a customer from a bot to a human agent seamlessly. We implemented an unopinionated e-2-e solution called Handoff for bot authors to implement a variety of scenarios, using the Microsoft Bot Framework Node.js SDK.

We use IoT sensors to collect positional and motion data from professional and amateur skiers to classify expertise and skill level through machine learning.

We partnered with the Connecticut Coalition to End Homelessness to develop a Xamarin application, WeCount, for volunteers to use to collect survey data for the 2017 Point-In-Time Count.

Situm, a company that offers high precision indoor navigation, looked to Kubernetes on Azure to provide high availability and scalability for their services. As of Kubernetes v1.6.5, Kubernetes on Azure supports both UDP and TCP workloads, and respects the Kubernetes Service spec's sessionAffinity.