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Microsoft Updates its Deep Learning Toolkit | Cortana Intelligence and Machine Learning Blog

We are delighted to announce that Microsoft has brought Microsoft Cognitive Toolkit version 2.0 out of beta and is making the first release candidate available today. The toolkit, previously known as CNTK, is a system for deep learning used to speed advances in areas such as speech and image recognition and search relevance on CPUs and NVIDIA® GPUs. Cognitive Toolkit can be used on-premises or in the cloud ...

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Stacking up the cloud vendors: AWS vs. Microsoft Azure, IBM, Google, Oracle

It's not easy tracking the girth of public cloud providers amid run rates, as-a-service sales projections, and a lack of transparency. Here's how AWS stacks up against Microsoft Azure, IBM, Google, and Oracle. Amazon Web Services continues to lead the cloud pack as it delivered a 2016 operating profit of $3.1 billion on revenue of $12.22 billion, up from $7.88 billion in 2015. While analysts will fret about ...

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How FICO scores big with cloud-based collaboration and data solutions – Microsoft Enterprise

Data rules everything around us. From traffic lights to medical records, those ones and zeros quickly dictate everything from the ads we see to the music we hear. As more and more organizations adopt big data strategies, we as consumers see exciting new innovations and solutions that leverage these possibilities. Smart phones, driver-less cars—this wave of data analytics brings the future to life in excitin ...

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AI’s transformative potential and what’s next … | News Center

Artificial intelligence holds the key to a new era of innovation, one where computers begin to work intelligently on our behalf rather than under our command. It’s an era where technology will become more intuitive, more conversational, more intelligent, will enable businesses to better know and serve their customers in ways previously unimaginable, and ultimately help solve some of the planet’s biggest cha ...

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Powering Amazon Redshift Analytics with Apache Spark and Amazon Machine Learning | AWS Big Data Blog

Air travel can be stressful due to the many factors that are simply out of airline passengers’ control. As passengers, we want to minimize this stress as much as we can. We can do this by using past data to make predictions about how likely a flight will be delayed based on the time of day or the airline carrier. In this post, we generate a predictive model for flight delays that can be used to help us pick ...

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BMW’s vision for connected cars includes Cortana in your dash | Windows Central

BMW is at CES showing off a range of tech it envisions as part of a connected car experience. While the entire vision is a neat look into where BMW expects the near-future of connected, automated cars to go, one particular inclusion will stick out to Microsoft fans: Cortana. AS shown off as part of CES 2017 demo, BMW sees Cortana living in the car's dash to offer the same voice-activated assistance with whi ...

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Microsoft launches a new cloud platform for connected cars | TechCrunch

Microsoft isn’t building its own connected car — but it is launching a new Azure-based cloud platform for car manufacturers that want to use the cloud to power their own connected-car services. The new Microsoft Connected Vehicle Platform will go live as a public preview later this year. “This is not an in-car operating system or a ‘finished product’,” Microsoft’s EVP for business development Peggy Johnson ...

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Building Deep Neural Networks in the Cloud with Azure GPU VMs, MXNet and Microsoft R Server | Cortana Intelligence and Machine Learning Blog

Deep learning has been behind several recent breakthroughs in machine learning applications. In the field of computer vision, novel approaches such as deep residual learning developed at Microsoft Research have helped reduce the top-5 classification error at the ImageNet competition by 47% in just one year. In the field of speech and machine translation, deep neural networks (DNNs) have already enabled mill ...

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Rapid Big Data Prototyping with Microsoft R Server on Apache Spark: Context Switching & Spark Tuning – Azure Data Lake Blog

During big data application development stage, it’s common to downsize the problem to the local machine for rapid code prototyping iterations. Developing machine learning models with Microsoft R Server (MRS) allows the user to quickly switch between code execution on the local machine and remote big data clusters such as Apache Spark on Azure HDInsight. In this blog, we will demonstrate how to develop a pre ...

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Comparing Cloud-based Machine Learning Platforms — Amazon ML vs Microsoft Azure ML vs Databricks (Spark) Cloud.

Introduction: In this blog post, data scientists at Third Eye Consulting Services will compare leading Cloud-based machine learning platforms. We will start with sharing the framework we used to compare the platforms and then we will apply the framework to compare Amazon ML, Microsoft Azure ML and Databricks Cloud. Updated as of: Mar’16 (Note that these services have an aggressive release cycle so if you’re ...

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