Join us for a set of exciting webinars starting next Tuesday, November 14th, at which we’ll show you how data science and machine learning are being applied in the medical field. You will be able to take the learnings from these webinars to use Azure Machine Learning, Azure Data Lake and Hadoop Spark clusters in… Read more
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… Read 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
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
Re-posted from the Microsoft SQL Server blog. Earlier today, at Build 2017, we made a string of announcements to further help developers and customers around the planet create breakthrough experiences through the power of artificial intelligence and big data. There were 3 major themes to these announcements: 1. AI at the Heart of the Microsoft… Read more
This post by Reed Umbrasas, Software Engineer at Microsoft. Azure Data Lake Analytics lets customers run massively parallel jobs over petabytes of raw data stored in Azure Data Lake Store. During the recent Microsoft Data Amp event, we demonstrated how this massive processing power can be used to build a petabyte scale AI data lake… Read more
This post is by Mary Wahl, Data Scientist, T.J. Hazen, Principal Data Scientist Manager, Miruna Oprescu, Software Engineer, and Sudarshan Raghunathan, Principal Software Engineering Manager, at Microsoft. Summary Deep neural networks (DNNs) are extraordinarily versatile and increasingly popular machine learning models that require significantly more time and computational resources for execution than traditional approaches. By… Read more
Re-posted from the Azure blog. NOTE: This post was updated on Tuesday February 14th 2017, including an update to the title. Azure SQL Data Warehouse (Azure SQL DW, or just SQL DW for short) is a SQL-based fully managed, petabyte-scale data warehousing solution in the cloud. It is highly elastic, enabling you to provision in minutes and scale… Read more
One of the most exciting announcements we made at Connect(); in New York City yesterday is the general availability of Azure Data Lake (ADL), a key component of Cortana Intelligence, our fully managed suite of big data and advanced analytics services. ADL offers a hyper-scale data repository for storing data of any type, and is… Read more
Re-posted from the SQL Server blog. Earlier today, at the Connect() event, which is livestreaming globally from New York City, we announced the next generation of Microsoft SQL Server and Azure Data Lake, as well as many other exciting new capabilities to help developers build intelligent applications. Here’s a quick recap of the key announcements:… Read more