“Serving AI with Data” – Recap of the Microsoft AI Immersion Workshop

Artificial Intelligence is enjoying its day in the sun. AI-related articles are now routinely featured as front page news and the technology is being used in an ever growing variety of applications, including in conversational bots, autonomous vehicles, connected machines, in medical diagnosis and much more. AI is therefore of growing interest to millions of… Read more

End-to-End Scenarios Enabled by the Data Science Virtual Machine: Webinar Video

This post is authored by Barnam Bora, Program Manager in the Algorithms & Data Science team at Microsoft. Microsoft’s Data Science Virtual Machine (DSVM) is a family of popular VM images in Windows Server & Linux flavors that are published on the Microsoft Azure Marketplace. They have a curated but broad set of pre-configured machine… Read more

Empowering Every Organization on the Planet with Artificial Intelligence

Re-posted from the Microsoft SQL Server blog. Extracting intelligence from ever-expanding amounts of data is now the difference between being the next market disruptor versus being relegated to the history books. Microsoft’s comprehensive data platform and tools let developers and businesses create the next generation of intelligent applications, drive new efficiencies, create better products and… Read more

Latest Rev of Utilities for Microsoft Team Data Science Process (TDSP) Now Available

This post is authored by Hang Zhang, Senior Data Science Manager, Xibin Gao, Data Scientist, and Wei Guo, Data Scientist, of Microsoft. We are excited to announce the release of version 0.12 of the Microsoft Team Data Science Process utilities. We had earlier released Team Data Science Process (TDSP) back in September 2016, along with… Read more

Take Advantage of Scalable Cloud Compute Directly from Your R Session, with doAzureParallel

Re-posted from the Azure blog. For users of the R language, scaling up their work to take advantage of cloud compute has generally been a complex undertaking. We are therefore excited to announce doAzureParallel, a lightweight R package built on Azure Batch that allows you to easily use Azure’s flexible compute resources right from your… Read more

Build & Deploy Machine Learning Apps on Big Data Platforms with Microsoft Linux Data Science Virtual Machine

This post is authored by Gopi Kumar, Principal Program Manager in the Data Group at Microsoft. This post covers our latest additions to the Microsoft Linux Data Science Virtual Machine (DSVM), a custom VM image on Azure, purpose-built for data science, deep learning and analytics. Offered in both Microsoft Windows and Linux editions, DSVM includes… Read more

New Year & New Updates to the Windows Data Science Virtual Machine

This post is authored by Gopi Kumar, Principal Program Manager in the Data Group at Microsoft. First of all, a big thank you to all users of the Data Science Virtual Machine (DSVM) for your tremendous response to our offering in 2016. We’re looking forward to a similarly great year in 2017. The new year… Read more

Hello 2017, and Recap of Top 10 Posts of 2016

As we kick off what will surely be another very exciting year of progress in artificial intelligence, machine learning and data science, we start with a quick recap of our “Top 10” most popular posts (based on aggregate readership) from the year just concluded. Here are the posts that had the most page views in… Read more

Singapore Machine Learning & Data Science Summit – Recap

This post is authored by Tamarai G V, Senior Product Marketing Manager at Microsoft. Singapore has started to embrace the many benefits of digital transformation, and data plays a central role in this process. From using non-traditional indicators such as electricity consumption and public transportation to monitor the economy to helping the government improve the… 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