Conversational Retail Bots, E-Commerce Fraud Protection & More – Powered By Microsoft AI

A peek at selective new customers benefiting from Microsoft AI and Machine Learning. Cami Boosts Customer Engagement at Dixons Carphone Based in the United Kingdom, Dixons Carphone is a major electronics retailer employing over 42,000 people in 11 countries, and providing consumers with products and services that help them lead seamlessly connected lives at home,…


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…


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…


16 августа встреча сообщества IT Pro

16 августа мы проводим летнюю встречу сообщества IT-профессионалов, и впервые она будет посвящена технологиям машинного обучения. Уже сейчас Machine Learning находит применение в самых разных сферах, а благодаря службам Azure Machine Learning вы сможете приступить к освоению этой области Data Science даже без серьезной предварительной подготовки. Разбираться, а кому-то и делать первые шаги будут помогать обладатели звания Microsoft MVP Михаил…


Windows Defender ATP machine learning: Detecting new and unusual breach activity

Microsoft has been investing heavily in next-generation security technologies. These technologies use our ability to consolidate large sets of data and build intelligent systems that learn from that data. These machine learning (ML) systems flag and surface threats that would otherwise remain unnoticed amidst the continuous hum of billions of normal events and the inability…


Find Images With Images

This post is authored by Remko de Lange, Data Solution Architect at Microsoft. How often does it happen that you have a clear picture in mind of what you want to purchase next, but you don’t know how or where to get it? We usually start with consulting our favorite search engine on the web….


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,…


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…


Using a Recommendation System in an Application

This post is authored by Ankit Asthana, Principal PM VS.NET at Microsoft. Recommendation systems are extremely popular today and are used everywhere, to predict music you’d like, products to buy, and movies to see! In this post, we would like to show you how you can build a movie recommendation engine. The post will describe…


Using Azure Data Lake and R for Fraud Detection

This post is authored by Yiwen Sun, Data Scientist, Esin Saka, Senior Software Engineer, and Shravan Matthur Narayanamurthy, Senior Software Engineering Manager, at Microsoft. As petabyte-scale data becomes available, how to successfully enable and scale the traditional machine learning paradigm onto big data infrastructure is no longer a trivial matter for the likes of AI…