A Pricing Engine for Everyone built with AzureML and Python

This post describes the Microsoft Pricing Engine (MPE), a cloud tool for pricing optimization. MPE is easy to integrate into the business process as it uses the business’ transactional history and does not require A/B testing infrastructure to be set up. A double-residual modeling approach in MPE is the newest advanced causal inference approach to…

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“AutoML” Parameter Search for Hierarchical Demand Forecasting Optimization

In general, machine learning approaches expose many options that affect performance and accuracy. “AutoML” (Automated ML) concerns problems of optimizing over such options. Forecasting demand of products that form a hierarchy raises this kind of challenge. We recently wrote a blog post about demand forecasting for hierarchical data. We listed several approaches to reconciling forecasts…

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Announcing free online Cortana Intelligence virtual workshop on Tuesday, 6 Dec 2016

Get hands-on with Cortana Intelligence Suite If you’d like to learn how to architect solutions in Cortana Intelligence Suite and how to build intelligence into your applications, join Microsoft Architects Jin Cho and Todd Kitta for a step-by-step look at the platform. On December 6, 2016, in the “Cortana Intelligence Suite End to End” event,…

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Announcing availability of machine learning based Recommendation API inside Dynamics 365 for Operations

We now have the recommendations API integrated and available from within Dynamics 365 for Operations. In the Nov. 1, 2016 update to Dynamics 365 for operations, now you can view the product recommendations inside cloud POS. This is the first time that we bring insights derived from Cortana intelligence suite components using machine learning right within…

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Introducing Microsoft Data Science Virtual Machine

Microsoft Data Science Virtual Machine (DSVM) is a custom virtual machine on Microsoft’s Azure cloud build specifically for doing data science. It’s a powerful data science development sandbox equipped with the most popular tools for data exploration and modelling. You can provision a DSVM with a few clicks on Microsoft Azure website, and within 10-20…

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Demand forecasting for hierarchical data

Introduction Demand forecasting is an essential component of supply chain management. Accurate demand forecast leads to more effective production planning, better inventory management, or more accurate capacity planning. We collaborated with UXC Eclipse, a global Dynamics partner, to build a customer-tailored application for demand forecasting using Cortana Intelligence Suite components. The solution not only improved…

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Recommendation API now available through Microsoft Cognitive services

Recommendation API has moved from its home in Data marketplace to a new home in Cognitive services. All of our customers have already moved to consume the service from its new location. If you are trying out the service and have built some infrastructure and integrations, this post will provide you all that is needed…

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Predictive Maintenance for Construction Machinery

Dynamics AX proves to be a great platform for managing fleet predictive maintenance. Machine breakdowns cost construction companies time, money, and opportunity. These costs can be managed and minimized if they are planned days or weeks in advance—but how do we predict which machines will be in need of service? Using Cortana Intelligence Suite (CIS) components, we collaborated with…

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Set of machine learning models on Sales Pipeline

Every sales team wants to sell more. They want to know health of sales pipeline and determine whether they will meet quota at end of quarter or not. Below is comprehensive list of machine learning models you can use on sales pipeline. Good news is you need not have to spend years to built it….

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