Windows 10 Fall Creators Update – What’s New?

This week saw the major announcement of the latest iteration of Windows 10 operating system called “Fall Creators Updates” (or 1709 if you prefer to track version numbers!). There is a heap of blog posts about this that touch on the various new features but the overall summary is that this update is still focused…

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Free Webinars on Cognitive Toolkit with Batch AI, DSVM & Document Collection Analysis

Join us at a set of three exciting webinars starting on Tuesday next week where we’ll show you how to train distributed convolution neural networks using Microsoft Cognitive Toolkit (aka CNTK) and Batch AI, how to do AI development using the latest version of the Data Science Virtual Machine (DSVM), and how to use Document…


Data and AI Announcements at Microsoft Envision and Microsoft Ignite

Written by Jon Woodward, Business Lead for Data and AI, Microsoft UK Our two flagship events Microsoft Envision and Microsoft Ignite recently took place in the US. There was a tremendous sense of energy and excitement, with 75+ keynotes, sessions and breakouts at Microsoft Envision, focusing on business leaders with industry-specific transformation scenarios, many of…


The Microsoft Team Data Science Process (TDSP) – Recent Updates

This post is authored by Xibin Gao, Data Scientist, Wei Guo, Data Scientist, Brad Severtson, Senior Content Developer, and Debraj GuhaThakurta, Senior Data Scientist Lead, at Microsoft What is TDSP Improving the efficiency of developing and deploying data science solutions requires an efficient process to complement the data platforms and data science tools that you…


How Stack Overflow Can Use Microsoft AI to Empower Every Developer

This post is authored by Anand Raman, Chief of Staff for the Cloud AI team at Microsoft. Artificial Intelligence has emerged as one of the most disruptive forces behind the digital transformation of business. Soon, most enterprises will depend on AI to enhance decision making, reinvent business models and ecosystems, and remake the customer experience….


Ignite 2017: Announcing Tools for AI-Driven Digital Transformation

Re-posted from the Microsoft Azure blog. Artificial Intelligence (AI) has emerged as one of the most disruptive forces behind the digital transformation of business. Earlier today, at Microsoft Ignite 2017, where we are in conversations about digital transformation with over 25,000 customers and partners, Joseph Sirosh, Corporate Vice President for Cloud Artificial Intelligence, shared the…


Using the Team Data Science Process (TDSP) in Azure Machine Learning

This post is authored by Wei Guo, Data Scientist, Hai Ning, Principal PM Manager, Xibin Gao, Data Scientist, Brad Severtson, Senior Content Developer, and Debraj GuhaThakurta. Senior Data Scientist Lead, at Microsoft. In this post, we describe how the Team Data Science Process (TDSP) project structure and documentation templates can be instantiated and used in…


Data Transformations “By Example” in the Azure Machine Learning Workbench

This post is authored by Ranvijay Kumar, Senior Program Manager at Microsoft. In this post, I talk about the Derive Column By Example transformation – an unexpected, powerful and super-efficient way to perform complex data transformations in the Azure Machine Learning Workbench. Imagine you’re head chef at a boutique restaurant where meals are prepared by…


Deploying Machine Learning Models using Azure Machine Learning

This post is authored by Raymond Laghaeian, Principal Program Manager at Microsoft. Azure Machine Learning provides command line interfaces (CLIs) for deploying and managing machine learning models. CLIs provide an easy way to deploy trained ML models as web service APIs which you can use in web, mobile, and line-of-business applications. This includes running the…