Inventory Optimization Solution in the Azure AI Gallery

This post is co-authored by Dmitry Pechyoni, Senior Data Scientist, Hong Lu and Chenhui Hu, Data Scientists, Praneet Solanki, Software Engineer, and Ilan Reiter, Principal Data Scientist Manager at Microsoft. For retailers, inventory optimization is a critical task to facilitate production planning, cost reduction, and operation management. Tremendous business value can be derived by optimizing… Read more

Free Microsoft Webinar on Interactive Price Analytics, Now Available on Azure

Join us for a free Microsoft webinar on Interactive Price Analytics and learn more about this fascinating topic. At the end of it, you will be able to use our new solution right out-of-the-box, or work with a Microsoft solution partner to you customize the solution further, to meet your business specific needs. The webinar… Read more

Bringing AI to BI – Text Analytics in Azure Machine Learning

This post is authored by Sudarshan Raghunathan, Principal Software Engineering Manager, Darren Edge, UX Architect, and Jonathan Larson, Principal Data Architect, at Microsoft. Azure Machine Learning Studio provides a Swiss-army knife of tools to operate on text datasets in a robust and efficient manner. For instance, there is a suite of built-in modules for lower-level… Read more

Data Virtualization: Unlocking Data for AI and Machine Learning

This post is authored by Robert Alexander, Senior Software Engineer at Microsoft. For reliability, accuracy and performance, both AI and machine learning heavily rely on large sets. Because the larger the pool of data, the better you can train the models. That’s why it’s critical for big data platforms to efficiently work with different data… Read more

Accelerating Business Transformation with Cortana Intelligence Solution Templates

Earlier today, Joseph Sirosh, Corporate Vice President, Microsoft Data Group, announced a set of new Cortana Intelligence solution templates as part of his keynote address at the Microsoft Data Amp event. Cortana Intelligence solution templates give customers the means to rapidly conceive and implement their big data, machine learning and analytics projects. Technical implementers can… Read more

Retail Customer Churn Prediction: How-To Guide Now Available

This post is authored by Lixun Zhang, Data Scientist, Daisy Deng, Software Engineer, and Tao Wu, Principal Data Scientist Manager, at Microsoft. Predicting customer churn rate is among the most sought-after machine learning and analytics applications for retail stores, and of high value to companies that are eager to take advantage of the ever-increasing amounts… Read more

Using SQL Server 2016 with R Services for Campaign Optimization

This post is authored by Nagesh Pabbisetty, Partner Director of Program Management at Microsoft. We are happy to announce a new Campaign Optimization solution based on R Services in SQL Server 2016, designed to help customers apply machine learning to increase response rates from their leads. This post contains more information about this new solution…. Read more

Introducing Custom Modules in the Cortana Intelligence Gallery

This post is authored by Roopali Kaujalgi, Senior Program Manager, and Hai Ning, Principal Program Manager, at Microsoft. Azure ML Studio offers a list of 75 (and growing!) built-in modules, to help you prepare data and create machine learning experiments. We also offer extensibility via custom R modules, for functionality beyond what’s in the built-in… Read more

Jump Start Your Analytics with Cortana Intelligence Solutions

This post is authored by Sachin Chouksey, Principal Software Engineering Manager, and Darwin Schweitzer, Senior Program Manager, at Microsoft. What’s the Problem? Building analytics solutions can consume a lot of time.  Customers who wish to build intelligent solutions on Microsoft’s advanced analytics platform today, for instance, need to navigate through a multitude of options, thanks… Read more

Busting the 5 myths of AI with the Cortana Intelligence Gallery

This post was authored by Rimma Nehme, Technical Assistant, Data Group at Microsoft. Today, the business potential of Machine Learning and AI is real. Businesses can apply ML and AI to transform, optimize and automate their businesses having previously relied only on human intelligence. You may wonder, ‘how can I apply AI to my business?’… Read more