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Accelerated Spark on GPU-enabled clusters in Azure

The ability to run Spark on a GPU enabled cluster demonstrates a unique convergence of big data and high-performance computing (HPC) technologies. In the past several years, we've seen the GPU market explode as companies all over the world integrate ... continue reading

Application fuzzing in the era of Machine Learning and AI

Proactively testing software for bugs is not new. The earliest examples date back to the 1950s with the term fuzzing. Fuzzing as we now refer to it is the injection of random inputs and commands into applications. It made its ... continue reading

Getting Started with #Azure Data Science Virtual Machine on Windows 2016 #DSVM #winserv #VSTS #DevOps

The Data Science Virtual Machine (DSVM) is a ‘Windows Server 2016 with Containers’ VM & includes popular tools for data exploration, analysis, modeling & development. Highlights: Microsoft R Server – Dev. Ed. (Scalable R) Anaconda Python SQL Server 2017 Dev ... continue reading

Browser security beyond sandboxing

Security is now a strong differentiator in picking the right browser. We all use browsers for day-to-day activities like staying in touch with loved ones, but also for editing sensitive private and corporate documents, and even managing our financial assets ... continue reading

Windows Server 2016 + Windows 10 = today’s modern infrastructure

Find out how Windows Server 2016 and Windows 10 work together to meet todays pressing IT needs from the desktop to the server to the cloud.Download this new guide and quickly see how you can overcome your client and server ... continue reading

Serving AI with Data: A Summary of Build 2017 Data Innovations

This post was authored by Joseph Sirosh, Corporate Vice President, Microsoft Data Group This week at the annual Microsoft Build conference, we are discussing how, more than ever, organizations are relying on developers to create breakthrough experiences. With big data, ... continue reading

Python in SQL Server 2017: enhanced in-database machine learning

We are excited to share the preview release of in-database analytics and machine learning with Python in SQL Server. Python is one of the most popular languages for data science and has a rich ecosystem of powerful libraries. Starting with ... continue reading

Delivering AI with data: the next generation of Microsoft’s data platform

This post was authored by Joseph Sirosh, Corporate Vice President, Microsoft Data Group Leveraging intelligence out of the ever-increasing amounts of data can make the difference between being the next market disruptor or being relegated to the pages of history ... continue reading

Introducing Microsoft R Server 9.1 release

This post is authored by Nagesh Pabbisetty, Partner Director of Program Management at Microsoft Expert data scientists are adopting Advanced Analytics (AA) and Machine Learning (ML) at a rapid pace. This pace can be significantly increased when enterprise-grade AA and ... continue reading
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