Recently we collaborated with Microsoft and Prospect Silicon Valley (ProspectSV) on a project to assess the viability and value of several Azure services. Specifically, we were asked to demonstrate how the cloud-based platform could be used to retrieve, store, visualize and predict trends based on data from multiple sources. In order to demonstrate these capabilities, we built an ASP.NET MVC application leveraging the following Azure components:

  • Azure App Services
  • Azure Machine Learning
  • Azure Power BI Embedded
  • Azure Storage

Figure 1: ProspectSV Application Architecture depicts how the system uses these four Azure components. This diagram also describes which external data sources are used and where that data is stored.
Read More…

When you read about the Internet of Things, you often hear about connected cars, connected kitchen appliances, small devices that let you order things quickly, or other consumer-grade applications. In this post, I will quickly describe a recent IoT project I worked on where the devices are not small consumer-grade sensors…they are large industrial manufacturing machines.

In this case, machines arranged on a shop floor are responsible for cutting metal into various shapes. These machines must be both very powerful and very precise, and they have robotic arms that are programmed to grip specialized tools for this activity. These machines use the MT Connect protocol as the language for communicating their operational status and the results of any action taken. On collection, the data is streamed to a collection point for analysis. In older machines, adapters are installed to stream the machine’s data using the common language.

Our work on this project helped the engineers identify optimal cut times by analyzing the machine activity data. First, we needed to enhance the collection process so that all data was readily available, then apply the appropriate business rules to identify cut time, and finally provide quick, actionable feedback on the outcome. Read More…

Data Analytics, Cortana Intelligence Suite, Data Visualization The Cortana Intelligence Suite is a fully managed data analytics platform that offers a range of services aimed at helping businesses find meaning in all of the data they are collecting. This post will dive into the services that are offered by the platform. Prior to discussing these services in detail, let’s take a quick lap around data analytics specific to goals, what to expect when building and maturing a competency for your business, and challenges businesses experience while on this journey. After laying this groundwork, we’ll discuss the Cortana Intelligence Suite in a bit more detail and provide a list of the services offered by the platform. Additionally, we’ll cover how the Cortana Intelligence Suite can offer the tools needed to implement a robust strategy to address the key challenge areas we’ve described. Read More…