How Indiana Farm Bureau Insurance Uses AI to Predict Customer Churn

This post is authored by Zoran Dzunic, Data Scientist, Chris Hoder, Program Manager, and Tao Wu, Principal Data Scientist Manager, at Microsoft. Indiana Farm Bureau Insurance (IFBI) has served Hoosiers for more than 80 years. Organized in 1934 by Indiana Farm Bureau, Inc., the company has grown to include insurance products for auto, home, life, business… Read more

Lessons Learned From Benchmarking Fast Machine Learning Algorithms

This post is authored by Miguel Fierro, Data Scientist, Mathew Salvaris, Data Scientist, Guolin Ke, Associate Researcher, and Tao Wu, Principal Data Science Manager, all at Microsoft. Boosted decision trees are responsible for more than half of the winning solutions in machine learning challenges hosted at Kaggle, according to KDNuggets. In addition to superior performance,… Read more

Announcing Cortana Intelligence Solution Evaluation Tool

This post is authored by Avi Bathula, Senior Program Manager Lead, and Jamie Olson, Senior Software Engineer, on the Microsoft Cloud & AI Ecosystem team. Most of you know about Microsoft’s Cortana Intelligence and how solutions/apps built with Cortana Intelligence are already helping organizations transform their data into actionable insights. As noted in the linked… Read more

Saving Snow Leopards with Deep Learning and Computer Vision on Spark

This post is authored by Mark Hamilton, Software Engineer at Microsoft, Rhetick Sengupta, President of Snow Leopard Trust, and Principal Program Manager at Microsoft, and Roope Astala, Senior Program Manager at Microsoft. The Snow Leopard – A Highly Endangered Animal Snow leopards are highly endangered animals that inhabit high-altitude steppes and mountainous terrain in Asia… Read more

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?… 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

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… Read more

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… Read more

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… Read more

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… Read more