The September Power BI Desktop update is out now and packed with many new features and improvements! We are excited to announce our ESRI map integration, DirectQuery support for the Snowflake Connector, new forecasting features, and the ability to create a mobile report layout.
The first Microsoft Machine Learning & Data Science Summit concluded earlier this week in Atlanta. Speakers at the Summit included thought leaders, engineers and practitioners from Microsoft and our customers and partners. The Summit featured the very latest in the areas of big data, machine learning and artificial intelligence, and covered a swathe of techniques including several popular Open Source technologies. The Summit gave participants a chance to connect in person with peer engineers, data scientists, ML practitioners, managers and decision makers, and to share tips and tricks. Participants were able to connect with speakers at a specially organized “Meet the Speakers” forum, where they even got answers to questions concerning their specific challenges or work projects.
All sessions from the Summit were recorded and are now available from Channel 9, including Summit keynotes by Joseph Sirosh and Dr. Edward Tufte. You can access them by clicking this link or on the image below:
For conference attendees who may have missed a session or two that you were interested in, or for all other visitors to our blog who were unable to make it to the event in Atlanta, we hope these videos give you an opportunity to catch
Adam Saxton, a.k.a Guy in a Cube, has been providing support for Microsoft products for over 10 years, and this week he shares some of his tips for troubleshooting! This video focuses on fixing connectivity issues with Power BI Gateway, but also gives general advice for solving data source connection errors from any application.
We have two great webinars coming up! On October 4, learn how to get started with R Script and Power BI with a detailed step-by-step walkthrough. On October 6, discover how to create mobile applications using PowerApps and SharePoint data.
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.