12

Mar

Azure cloud data and AI services training roundup

Looking to transform your business by improving your on-premises environments? Accelerating your move to the cloud, and gaining transformative insights from your data? Here’s your opportunity to learn from the experts and ask the questions that help your organization move forward.

Join us for one or all of these training sessions to take a deep dive into a variety of topics. Including products like Azure Cosmos DB, along with Microsoft innovations in artificial intelligence, advanced analytics, and big data. 

Azure Cosmos DB

Engineering experts are leading a seven-part training series on Azure Cosmos DB, complete with interactive Q&As. In addition to a high-level technical deep dive, this series covers a wide array of topics, including:

Graph API Table API Building Mongo DB apps

By the end of this series, you’ll be able to build serverless applications and conduct real-time analytics using Azure Cosmos DB, Azure Functions, and Spark. Register to attend the whole Azure Cosmos DB series, or register for the sessions that interest you.

Artificial Intelligence (AI)

Learn to create the next generation of applications spanning an intelligent cloud as well as an intelligent edge powered by AI. Microsoft offers a comprehensive set of flexible AI services for any

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11

Mar

Microsoft and Azure at the Game Developers Conference
Microsoft and Azure at the Game Developers Conference

Start Your Visit at the Azure Booth

We invite you to come to the South Hall Lower Lobby of the Moscone Center and stop by our dedicated Azure booth to learn how you can create a gaming empire by building on the gaming cloud that has powered Xbox for years.

The Azure booth will have a wide range of activities for game developers:

Come talk to experts about Azure, PlayFab, Visual Studio, App Center, Mixer, Xbox Live, Mixed Reality and more. Visit four stations to claim a custom, free Xbox controller, and enter to win an Xbox One X daily. Play our mixed reality game Pinball Lizard and take home the sample source code – and get the high score of the day to win an Xbox One X. Play Darwin Project, a 10-player battle royale that offers audience interaction through Mixer, with a shoutcaster moderating and streaming the action live. Attend one of the many in-depth theater sessions or watch one-on-one interviews with product experts across a variety of topics, directly in the booth.

The entire Azure expo experience will show you what’s possible, while giving you the tools and code on how to build it.

Continue Your Learning

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08

Mar

Join Microsoft at the Rice Oil and Gas HPC conference
Join Microsoft at the Rice Oil and Gas HPC conference

Energy exploration, production, and reservoir monitoring are leaders in the private sector for big data and compute-intensive applications. That’s why energy companies have always used high performance computing (HPC) to aid in oil and gas exploration. This decision by these energy companies has proven to help reduce costs, impact on the environment, and improve the fidelity of subsurface data.

We’ll be at the Rice Oil and Gas HPC conference in Houston, Texas on March 12-13, 2018. Here we will talk about Microsoft’s commitment to providing the resources that HPC users need. Curt Smith, Big Compute Engineering Development Manager, will be presenting a plenary session covering how oil and gas companies use Azure’s offerings to address HPC and machine learning workloads. Azure allows customers to integrate their data management, compute workloads, and leverage technologies such as machine learning, artificial intelligence, and blockchain.

We’ll also have a booth in the exhibition area where attendees can talk to Azure’s HPC experts. Our booth is co-sponsored by our partners at NVIDIA, who will be available to talk about the benefits of Azure’s GPU-powered offerings for compute, deep learning, and remote visualization. You can also learn about our exclusive partnership with Cray that enables customers

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08

Mar

Get Reserved Instance purchase recommendations based on usage pattern

If you have Virtual Machines (VM) running in azure, you can take advantage of discounted pricing on Reserved Instances (RI) and pre-pay for your Virtual Machines. Microsoft consumption recommendation apis looks at your usage for seven, 30, or 60 days and recommends optimum configurations of Reserved Instances. It calculates the cost you would pay if you did not have RI and cost you will pay with RI optimizing your savings. The following example shows calculations that happen for 7 day recommendation but the same method is applied for calculating 30 or 60 day recommendations.

Calculation method

Let us assume your hourly windows VM usage for a specific SKU and region looks like the following graph (min. is 65 units and max. is 127 units) for seven days. 

If you purchase 75 Reserved Instances, for hour 79, you will pay the following:

75 Instances of Reserved Instances. This will be pre-paid when you purchase RI. Reserved Instance covers the hardware cost of running VMs, so you will pay 75 hours of software only price as described in the document for Windows software costs not included with Reserved Instances. Since usage for this hour is 80, you will pay for five

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08

Mar

Join Microsoft at Supercomputing Frontiers Europe

If you’re in Warsaw, Poland March 12-15, you’ll want to come and join Microsoft at Supercomputing Frontiers Europe. This conference is a great opportunity to come together with high-performance computing leaders and practitioners. Microsoft will be there to talk about how Azure enables our customers to run true HPC workloads in the cloud.

Associate Professor Dariusz Mrożek from Silesian University of Technology in Gliwice will deliver a keynote titled “Accelerating scientific discoveries in protein bioinformatics with Microsoft Azure cloud platform”. In addition, we will be delivering a half-day of hands-on workshops on March 15. The workshop will include:

Deploying Linux RDMA Infiniband cluster with Azure CLI. Deploying HPC cluster from CycleCloud template. Azure Batch AI training lab. OpenFOAM simulation in Azure Marketplace UberCloud container.

The workshop will demonstrate different ways of using Azure for running HPC jobs. Instructors will start with an introductory presentation of HPC services on Azure and the workshop environment, followed by a hands-on lab session in which they will go step-by-step with the participants through the lab content. Participants will also receive free Azure passes and will be able to execute the labs following the instructor guidance or at their own pace.

If you’re coming to

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08

Mar

Share your Power BI content with anyone by email
Share your Power BI content with anyone by email

https://powerbi.microsoft.com/en-us/blog/share-your-power-bi-content-with-anyone-by-email-2/Source: https://powerbi.microsoft.com/en-us/blog/share-your-power-bi-content-with-anyone-by-email-2/           I’m excited to announce the ability to share content with users using their personal email accounts, making it easier to share data with people outside of your organization. Previously, you could…

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08

Mar

Update management, inventory, and change tracking in Azure Automation now generally available

Azure Automation provides the ability to automate, configure, and deploy updates across your hybrid environment using serverless automation. These capabilities are now generally available for all customers.

With the release of these new capabilities, you can now:

Get an inventory of operating system resources including installed applications and other configuration items. Get update compliance and deploy required fixes for Windows and Linux systems across hybrid environments. Track changes across services, daemons, software, registry, and files to promptly investigate issues.

These additional capabilities are now available from the Azure Resource Manager virtual machine (VM) experience as well as from the Automation account when managing at scale within the Azure portal.

Azure virtual machine integration

Integration with virtual machines enables update management, inventory, and change tracking for Windows and Linux computers directly from the VM blade.

With update management, you will always know the compliance status for Windows and Linux, and you can create scheduled deployments to orchestrate the installation of updates within a defined maintenance window. The ability to exclude specific updates is also available, with detailed troubleshooting logs to identify any issues during the deployment.

The inventory of your VM in-guest resources gives you visibility into installed applications as

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08

Mar

A digital transformation Journey featuring Contoso Manufacturing and Azure IoT

This is a story about the digital transformation of Contoso HVAC Manufacturing, a virtual company that is growing its business from a traditional HVAC Chillers manufacturer, to delivering value to customers as a service. Contoso HVAC understands that the Internet of Things is a key ingredient to this transformation, but rapidly realizes that there is no such thing as a one-size-fits-all IoT solution. Each industry, each company have their own constraints and requirements. Each are trying to navigate and understanding the vast list of IoT services and solutions which have often proved tricky to grasp.

Instead of listing a portfolio of products and services, let me tell you the story of how Contoso HVAC’s journey to introduce Azure IoT with a different perspective transformed its business.

Contoso HVAC manufactures HVAC Chillers, the big industrial ones used in large buildings and enterprises. The company has been manufacturing HVAC Chillers for 50 years. In recent times, to stay competitive the company is going through a digital transformation, expanding their support agreements to become remote operations and maintenance agreements. Customers of Contoso HVAC will no longer just buy an HVAC system, but instead will buy a fully managed “HVAC-as-a-Service” solution.

To achieve

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08

Mar

Azure’s layered approach to physical security

We have heard from many customers that cloud security is one of their top concerns. Another thing we’ve heard from customers is that they want clarity around what they are responsible for securing in Azure and what Azure will do. Azure helps provide a highly secure foundation, built from the ground up, to host your infrastructure, applications, and data.

We understand the importance of protecting customer data, which is why we are committed to helping secure the datacenters that contain your data. Microsoft has invested over a billion dollars into security, including the physical security of the Azure platform, so you can devote your time and resources towards other business initiatives. Over the next few months, as part of the secure foundation blog series, we’ll discuss the components of physical, infrastructure (logical) and operational security that help make up Azure’s platform. Today, we are focusing on physical security.

Physical security refers to how Microsoft designs, builds and operates datacenters in a way that strictly controls physical access to the areas where customer data is stored. Our datacenters are certified to comply with the most comprehensive portfolio of internationally-recognized standards and certifications of any cloud service provider. We have an entire

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07

Mar

ONNX models to be runnable natively on 100s of millions of Windows devices

This post was authored by Eric Boyd, CVP, AI Data & Infrastructure.

Today Microsoft is announcing the next major update to Windows will include the ability to run Open Neural Network Exchange (ONNX) models natively with hardware acceleration. This brings 100s of millions of Windows devices, ranging from IoT edge devices to HoloLens to 2-in-1s and desktop PCs, into the ONNX ecosystem. Data scientists and developers creating AI models will be able to deploy their innovations to this large user base. And every developer building apps on Windows 10 will be able to use AI models to deliver more powerful and engaging experiences.

ONNX is an open source model representation for interoperability and innovation in the AI ecosystem. We helped start ONNX last September, added support from many other companies, and launched ONNX 1.0 in December with Facebook and Amazon Web Services. With the ONNX format, developers can choose the right framework for their task, framework authors can focus on innovative enhancements and hardware vendors can streamline optimizations.

 

Thanks to ONNX-ML, Windows supports both classic machine learning and deep learning, enabling a spectrum of AI models and scenarios. Developers can obtain ONNX models to include in their apps

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