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How AI will change the way we work in 2020

Thanks to AI, business applications will soon be able to answer complex questions, help users navigate interfaces, and enable cloud vendors to reduce support from personnel to manage their loads. AI is also being used in various software applications to help decision-makers identify and automate repetitive tasks, improving employee productivity. Increased understanding of how to better implement AI in business applications likely will lead to the emergence of new features, such as natural-language processing (NLP), that can help managers interact in more-intuitive ways with AI-powered apps.

In this article, you’ll learn about the innovative features powered by AI and machine learning (ML) that you can expect to see in business applications in the next five years.

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Cloud migration essentials

In recent years, the global business landscape has witnessed a significant increase in cloud adoption. This has created significant value over traditional datacenters via greater scalability, cost-efficiency, and other performance improvements. Yet cloud migration requires careful planning. For a migration to be successful, it’s important for the business to come up with a strategy that also covers the end cloud environment, training, and—most importantly—the readiness of workloads and applications.

In this eBook, you’ll discover the key preliminary steps to consider in evaluating a cloud migration, as well as the various approaches for rehosting, refactoring, rearchitecting, and rebuilding your workloads for the cloud. You’ll also learn about some useful tools that you can use to accelerate your migration project and get tips to help you ensure post-migration success by using Microsoft Azure.

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A company crazy about chocolate, serious about people, uses Microsoft Teams to build personal relationships

Dutch startup Tony’s Chocolonely grew out of a journalist’s exposé of child slave labor in the cocoa industry and his dream of making the chocolate trade slavery-free. The Amsterdam-based company grew quickly, but its original collaboration apps didn’t support its international expansion or its work-life balance ideals. Teams enables Tony’s Chocolonely workers to communicate on a personal level with their colleagues in Europe, America, and Africa. Adding telephony capabilities makes it even more powerful, with everything available in one single interface.

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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.

Subscribe now to learn how the cloud, AI, and the data management capabilities of Microsoft Azure are driving increased efficiency at today’s leading businesses and organizations.

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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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