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

Optimizing Project Staffing to Improve Profitability with Cortana Intelligence

This post is by Francesca Lazzeri and Hong Lu, Data Scientists, and Ilan Reiter, Principal Data Science Manager, at Microsoft. Introduction and Business Domain Recent advancements in machine learning and big data technologies are allowing companies to apply better staffing strategies by taking advantage of historical data. Ensuring that the right people get assigned to… Read more

How Adobe, Dallas Zoo and Financial Fabric Are Using Microsoft Cognitive Services and the Azure Data Platform

A montage of recent customer use cases, demonstrating the range of capabilities of Microsoft’s AI, Big Data & Advanced Analytics offerings. Adobe Helps Customers Break the Language Barrier Adobe Experience Manager (AEM) is an enterprise content management platform that helps large and mid-size companies manage their web content, digital assets, online communities and more. Digital… Read more

Add Intelligence to Any SQL App, with the Power of Deep Learning

Re-posted from the SQL Server blog. Recent results and applications involving Deep Learning have proven to be incredibly promising, and across a diverse set of areas too, including speech recognition, language understanding, computer vision and more. Deep Learning is changing customer expectations and experiences around a variety of products and mobile apps, whether we’re aware… 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

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

The Next Generation Database & Data Lake from Microsoft

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

Data Science with Microsoft SQL Server 2016 – Free eBook

Foreword The world around us – every business and nearly every industry – is being transformed by technology. This disruption is driven in part by the intersection of three trends: a massive explosion of data, intelligence from machine learning and advanced analytics, and the economics and agility of cloud computing. Although databases power nearly every… Read more

R Tools for Visual Studio 0.5

This post is authored by Shahrokh Mortazavi, Team Lead, Data Science Tools. We’re delighted to announce the availability of RTVS 0.5. Key updates in this release include: Integrated support for SQL and SQL Stored Procedures. Multiple plot windows, plot history with plot thumbnails for navigation. General improvements and bug fixes. SQL Integration SQL databases are… Read more

Data Mining the 2016 Presidential Campaign Finance Data

So you just got yourself a brand new dataset. Now what? How do you prepare a dataset for machine learning? Where do you even begin? This post is an attempt to demystify this process, using a fun example that is of topical interest. Dataset Selection Since we are in the middle of the U.S. presidential… Read more