Unlocking your data’s potential with the Dynamics AX 2012 R3 Entity Store and Cortana Intelligence Suite

For those interested in adding intelligence to their AX solutions, the release of the AX2012 R3 entity store today is a big deal. The AX2012 R3 Entity store is a feature that enables Administrators and Power users to export their entities to a data store dedicated for Reporting and Analytics. We call this database “Entity…

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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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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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Building a data driven supply chain with Cortana Analytics

EXECUTIVE SUMMARY Dynamics partners have a huge opportunity to reinvent supply chain scenarios and deliver a data-driven application that uses machine learning, optimization solvers and other advanced analytics to embed intelligence and surround the traditional rule-based automated business process enabled by Dynamics. They could do this by dynamically predicting supply chain input. Instead of asking…

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Dynamics + Cortana Intelligence EMEA Workshop

Hello folks, Last week, we completed the first version of the Dynamics + Cortana Intelligence integration workshop in Amsterdam, NL.  For the folks who attended, thanks for attending and providing your feedback and attention as we completed our initial delivery of the course content and labs.  We collected a lot of feedback and are working to include…

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Opportunity scoring – Machine Learning on Sales Pipeline

Microsoft team has released a Opportunity Scoring solution. Opportunity scoring uses a machine learning model trained on past sales data to predict the eventual probability that the sale will be won. Training and prediction are implemented with Azure Storage and Azure Machine Learning, orchestrated by Azure Scheduler, and executed within an Azure Web Job. Where…

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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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