Learn more about the collaboration between Microsoft Power BI and Narrative Science and how it is driving customer success.
With the upcoming general availability of Windows Server 2016, we are pleased to announce that Microsoft SQL Server 2016 will support deploying databases on the new Storage Spaces Direct feature of Windows Server 2016.
What’s new Storage Spaces Direct
Storage Spaces Direct, new in Windows Server 2016, enables customers to create highly scalable and flexible storage solutions, using local storage. The ability to aggregate locally attached storage across the nodes in a failover cluster enables customers to create very large and highly available pools of storage from types of devices which could not be leveraged before, such as inexpensive SATA SSD, or cutting edge solutions like NVMe flash, which must plug directly into the PCIe bus inside the machine.
Advantages for SQL Server Speed
The fastest storage devices currently available do not use any of the traditional storage bus protocols. They plug directly into the PCI-E bus, so that the system can access the data directly with extremely low latency, or even faster than that are solutions based on nonvolatile RAM sitting in DIMM slots. At this point, the capacity of the devices is modest, making the ability to aggregate them across many nodes extremely attractive.
Data Scientists Decode Human Perceptions from Brain Signals
This post is by Chirag Dhull, Product Marketing and Hang Zhang, Senior Data Science Manager, at Microsoft.
Millions of people suffer from brain-related injuries and disorders every year. Being able to decode human perceptions from brain signals can benefit this population greatly. That’s what inspired Stanford University neurosurgeon Dr. Kai Miller to team up with Microsoft to offer the inaugural Cortana Intelligence Competition: Decoding Brain Signals.
“The brain is an electrical organ with over 100 trillion synapses, connecting more than 87 billion neurons,” explains Dr. Miller. “Neuroscientists and computer scientists have been working to understand the secrets hidden in brain signals streaming directly from brains. When we can read and decode brain signals, we can help treat, heal, and retrain a brain after injury.”
The Decoding Brain Signals competition allowed machine learning experts and data scientists from around the world to test their skills while helping further the cause of neuroscience research. The contest asked participants to build intelligent models to decode electrical brain signals that were gathered from Dr. Miller’s research with epilepsy patients.
“I’ve worked with a lot of patients who have electrodes implanted in their brain for seizure detection,”
This post is by Shaheen Gauher, PhD, and Fidan Boylu Uz, PhD, Data Scientists at Microsoft.
Cleveland Clinic is a non-profit academic medical center providing clinical and hospital care. It’s a leader in research, education and health information and at the forefront of developing and applying new technology. Cleveland Clinic launched eHospital in April 2014 and monitors a total of 100 beds in six ICUs. Cleveland Clinic recently teamed up with Microsoft to utilize predictive and advanced analytics to identify potential at-risk patients under ICU care.
Sudden cardiac arrest is a major public health problem with more than 450,000 individuals affected annually. Vasopressors are a part of pulseless sudden cardiac arrest management protocol. These are drugs that cause the blood vessels to constrict, which, in turn, causes blood pressure to rise in an attempt to restore spontaneous circulation.
Using the data collected from monitoring units in ICUs over a period of time, we want to predict if a patient will need to be administered vasopressors in the near future, to prevent the occurrence of cardiac failure. The data included the vitals collected in ICU, the lab tests and patient information from a set of patients over a period of
This post is by Herain Oberoi, Senior Director of Product Marketing at Microsoft.
Just over a year ago, we announced the Microsoft Cortana Intelligence Suite with the goal of helping customers use Big Data, Advanced Analytics and Machine Learning technologies in the cloud to derive insights, predict outcomes and prescribe actions based on their data.
Cortana Intelligence provides an end to end set of cloud services and pre-configured solutions to enable line of business departments such as Sales, Marketing, Finance, Operations and more to accelerate their digital transformation projects.
A year into the release, Cortana Intelligence has had big impact on customers across healthcare, retail, manufacturing, financial services and government and other industries. The range of creative solutions that our customers have come up with, to address their business needs, has been very impressive.
I wanted to share a quick snippet of their successes with you and hope this provides some insight and inspiration on what is possible when you combine the power of big data, analytics and ML in the cloud.
Remote Patient Monitoring
Dartmouth Hitchcock, a nonprofit academic health system that serves a population of 1.9 million in New England, set out to improve overall patient
We’re excited to share at Microsoft Ignite that soon Power BI users can use ArcGIS Maps for Power BI (preview) created by Esri. This preview will bring new capabilities to all Power BI users. The ArcGIS Maps for Power BI visual is provided by Esri. ArcGIS Maps for Power BI visual goes a step beyond. Not only can you plot data points from Power BI, but you can also add reference layers. Layers include a selection of demographic layers provided by Esri and public web maps or those published into Esri’s Living Atlas. You will be able to create a compelling analysis that also provides reference information to get more context from the data you have in Power BI. Hover over a block group in the Median Household Income layer to find out who your customers are in a specific area.
Creating compelling stories that attract readers in a sea of competitive publications and content choices has never been harder. By using the unique capabilities of Microsoft Power BI, Seeking Alpha Financial Analyst Dallas Salazar has risen above the pack to write attention-grabbing articles on financial news. Learn how Dallas uses Power BI and the SandDance visual to improve the speed and clarity of his research.
Microsoft Intune enables organizations to easily manage devices and applications across all teams. The Power BI Mobile application is already integrated with Intune MDM, or Mobile Device Management, and now we are happy to introduce Power BI support for Intune Mobile Application manager (MAM) on iOS devices.
This post is by Joseph Sirosh, Corporate Vice President of the Data Group at Microsoft.
Online transaction processing (OLTP) database applications have powered many enterprise user-cases in recent decades, with numerous implementations in banking, e-commerce, manufacturing and many other domains. Today, I’d like to highlight a new breed of applications that marry the latest OLTP advancements with advanced insights and machine learning. In particular, I’d like to describe how companies can predict a million events per second with the very latest algorithms, using readily available software.
Take credit card transactions or loan applications, for instance. These can trigger a set of decisions that are best handled with predictive models. Financial services companies need to determine whether a particular transaction is fraudulent, or whether a loan will be repaid on time.
As the number of transactions per second (TPS) increase, so does the number of predictions per second (PPS) that organizations need to make. The Visa network, for instance, was capable of handling 56,000 TPS last year and managed over 100 billion yearly transactions. With each transaction triggering a set of predictions and decisions, modern organizations have a need for a powerful platform that combines OLTP with a high-speed prediction
This post is authored by Ted Way, Senior Program Manager at Microsoft.
Azure Machine Learning, as part of the IoT Suite, is now generally available in Azure Germany. Industrial and manufacturing customers eager to ride the Industry 4.0 wave can now use IoT Suite as a part of their “smart factory.”
Go to https://www.azureIoTsuite.de/ to get started and provision a predictive maintenance solution – this also provisions an Azure ML workspace with experiments and a web service.
Azure ML has the same SLA in Azure Germany as other public regions in US South Central, West Europe, and Southeast Asia.
What is Microsoft Azure Germany?
Our German datacenter is a physically and logically separate allocation of Azure, one in which all customer data and required support systems reside in German datacenters. There’s a dedicated network within Germany that is independent of the public cloud network. A German data trustee, T-Systems (Deutsche Telekom), controls physical and logical access to customer data, and Microsoft meets applicable compliance requirements and certifications. If you require compliance with German