Machine Learning for Developers – How to Build Intelligent Apps & Services

This post is authored by Daniel Grecoe, Senior Software Engineer at Microsoft. There’s a lot of talk about machine learning these days and how it will transform applications and services. Most of it is right on target: ML is definitely changing the way certain computing tasks will be implemented in the future, why wouldn’t it?…


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…


Running BigDL Apache Spark Deep Learning Library on Microsoft Data Science Virtual Machine

This post is co-authored by Gopi Kumar at Microsoft and Sergey Ermolin at Intel. Introduction BigDL is a distributed deep learning library for Apache Spark. It has both Python and Scala interfaces and takes advantage of Spark-enabled distributed compute infrastructure, allowing users to write Deep Learning applications in a familiar native Spark context format. The Microsoft…


Data Science Walkthrough with SQL Server 2017 and Microsoft Machine Learning Services

This post is authored by Xibin Gao, Wei Guo, and Debraj GuhaThakurta at Microsoft. Microsoft Machine Learning Services were a key highlight of our SQL Server 2017 CTP 2.0 release in April this year. It allows Python scripts to run within SQL Server or be embedded in SQL scripts and be deployed as stored procedures. This…


Daily Story: Tell your story with our customer success platform.

DailyStory is the simpler, faster, and easier way to keep and grow existing customers. It can cost 5-times as much to find a new customer vs. keeping an existing one. DailyStory is a startup developing solutions to help businesses keep and grow their customers by giving them the strategies and tools they need. DailyStory’s flagship…


Announcing Microsoft Machine Learning Library for Apache Spark

This post is authored by Roope Astala, Senior Program Manager, and Sudarshan Raghunathan, Principal Software Engineering Manager, at Microsoft. We’re excited to announce the Microsoft Machine Learning library for Apache Spark – a library designed to make data scientists more productive on Spark, increase the rate of experimentation, and leverage cutting-edge machine learning techniques –…


Introducing the new Data Science Virtual Machine on Windows Server 2016

This post is authored by Udayan Kumar, Software Engineer at Microsoft. We are excited to offer a Windows Server 2016 version of our very popular Microsoft Azure Data Science Virtual Machine (DSVM). This new DSVM version is based on the latest Windows Server 2016 Data Center edition. We’ve added new tools and upgraded existing tools…


Microsoft AI – Now Serving Critical Care Patients, Water-Insecure Populations in Africa, Bank Customers in New Zealand & Many More

New customers are benefiting from Microsoft’s Artificial Intelligence offerings at a record pace  – here’s a look at some of the latest. Saving the Lives of Patients in Critical Care A large part of our current healthcare system is geared towards treating patients only after they have fallen quite sick. While it would clearly be…


GA of Cognitive Toolkit 2.0 – Microsoft’s Open Source, Enterprise-Ready, TensorFlow-Outperforming AI Toolkit

Re-posted from the Microsoft Next blog and the Cognitive Toolkit blog. We’re excited to announce the general availability of Cognitive Toolkit 2.0, Microsoft’s open source, enterprise-ready, production-grade AI offering. Cognitive Toolkit allows users to create, train, and evaluate their own neural networks that can then scale efficiently across multiple GPUs and machines on massive data…