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Australian National University: The DNA of data and AI


Data is vital to scientific research. Without the ability to quickly process and analyze large amounts of data, breakthroughs and publications take longer. This increases administrative tasks and can even lead to projects going over budget. To avoid these pitfalls, modern researchers have begun turning to artificial intelligence (AI) and cloud-based technology, which enable the researchers to avoid the time and expense of setting up and configuring servers, leaving them to focus on their scientific goals.

In this video, you’ll see how researchers at Australian National University (ANU) conduct cutting-edge genome research by using Microsoft Azure to commission a data science virtual machine that allows them to instantly process large amounts of data. You’ll also learn how, thanks to the data management capabilities of Azure, ANU is now able to use unprecedented volumes of data and new analytical frameworks to decrease admin time and maximize the university’s research capabilities.

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Alaska Airlines makes shopping easier with faster flow of new e-commerce features


A great online shopping experience begins with great software. That’s why Alaska Airlines uses Microsoft Azure and Windows Server Containers to launch new e-commerce features faster. Travelers get new offers sooner, which translates to happier customers and increased revenues. By running its e-commerce engine in Azure in hybrid fashion, Alaska can scale more easily and ensure its sites run at the optimum point of performance and cost.

Building Intelligent Cloud Applications

This eBook provides a step-by-step guide for building and deploying scalable deep learning and machine learning models using serverless architectures with Azure. Learn to code machine learning into your projects using Python and pretrained models that include image and speech recognition and classification. Explore issues around deployment and continuous delivery, including scaling, security, and monitoring.

View: Building Intelligent Cloud Applications

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Australian National University (ANU) addresses the computing demands of genome research


As scientific research becomes more and more complex, scientists need new, scalable ways to store and analyze ever-larger troves of data. They also need unprecedented amounts of raw computing power to process the data they obtain and deliver timely results that enable projects to stay on track and within budget. To ensure that their research adheres to these restraints, modern-day scientists need to increase efficiency via automation and other approaches whenever they can, wherever they can. Artificial intelligence (AI) and cloud technology give scientists the tools they need to advance research faster than ever before, get results quicker, and achieve scientific breakthroughs like never before.

In this video, you’ll learn how researchers at Australian National University (ANU) are using Microsoft Azure to dramatically shorten the amount of time they spend on data analysis, enabling faster publication of their cutting-edge genome research.

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Azure helps companies power their hybrid cloud migration


The hybrid capabilities from Microsoft Azure fuel innovation and delivers great business outcomes to companies such as, J.B. Hunt, KPMG, Allscripts, and Chevron. By meeting them where they are, Microsoft improves the cloud migration experience and helps companies reduce overall costs. Watch to learn how these Fortune 500 companies used Microsoft Azure to power their hybrid cloud strategies and move their businesses forward.

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