Author: Don Zimmerman

For modern organizations to truly take advantage of digital transformation, they need to be able to obtain, process, and extract insights from as much data as possible. This often puts a strain on businesses’ IT departments as they struggle to update legacy software and equipment to better handle the massive amounts of information available. Fortunately, the cloud has allowed businesses to move away from outdated technology and opened new opportunities for innovation.

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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.

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.

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.

How can your organization benefit from Microsoft Teams? Learn from Frank Lusko, the EVP of Sales and Marketing at CWPS, to hear how his sales team has benefited from this collaboration tool through features such as notification alerts and planner scheduling.