Learn about the features and benefits of migrating to Windows Server and SQL Server on Azure. This video discusses key aspects such as preventing the loss of valuable data and getting the lowest cost of ownership.
Move and modernize your Microsoft workloads with Azure
Hand in hand with digital transformation, cloud technology has seen outstanding growth. Because of the rapid pace of adoption, it has overtaken traditional on-premises hardware. Given the cloud’s huge potential across industries, verticals such as manufacturing, railways, banking, retail, education, and healthcare are switching to cloud services to optimize their reach and performance and increase their flexibility. But moving to the cloud is a strategic move, and it requires organizations to make careful internal analysis in choosing the features that will allow them to get the most out of their cloud migration.
By reading this infographic, you’ll learn more about the most important benefits and features of Microsoft Azure. You’ll also discover how the Microsoft cloud is helping businesses enjoy unparalleled cost savings, easily plan migrations, avoid the complexity of multivendor support, and modernize existing cloud applications.
View: Move and modernize your Microsoft workloads with Azure
Imperial College London uses Teams to teach and connect in a time of COVID
A world top ten university, with an international reputation for excellence in teaching and research, Imperial College London now uses Microsoft Teams to teach and connect in a time of COVID-19. In this video, see how the college is now relying on Teams for the delivery of its lectures and its remote labs, as well as a “virtual common room” where students and faculty can interact. Staff now have the fluid integration of shared files, scheduled events, and the students’ use of the virtual learning environment, providing opportunities to respond to students in a way never done before.
Innovate Infographic
Moving Windows Server and SQL workloads to Azure provides flexible, scalable, and highly available cloud infrastructure. It also supports rapid innovation and digital transformation, freeing you to innovate. This infographic presents the benefits of running Windows Server and SQL Server on Azure.
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One of the main challenges that modern researchers encounter centers on the size of their datasets. As research projects become increasingly more digital, the vast volumes of data that research generates demands enormous raw computing power, for both storage and computational capacity, which most organizations simply didn’t have access to. Cloud technology and artificial intelligence (AI) address this need, allowing researchers to free themselves from the constraints of their physical hardware. Cloud-based approaches can also boost the speed and efficiency of publishing, increasing the impact of research publications.
Subscribe now to learn more about the data management and automation capabilities of the Microsoft cloud and how they’re enabling breakthrough research projects around the world.
Social Asset BYL B: Unify workplace collaboration
Subscribe now and unify your workplace collaboration with @Microsoft Teams.
Itaú Unibanco boosts service availability and data processing with SQL Server 2019
As a banking leader in Latin America and one of the largest banks in the world, Itaú Unibanco handles thousands of transactions every second. Operating on an aging data infrastructure, the bank found it difficult to expand its digital services without breaking SLAs or putting its guarantee of continuous service availability at risk. Since it migrated database services to Microsoft SQL Server 2019 based on Intel datacenter technologies, Itaú Unibanco can confidently scale data collection and infrastructure maintenance while it delivers the high level of service its private and commercial banking customers rely on.
ANU: Storing the human genome
Thanks to cloud technology, researchers can take advantage of faster, more advanced and more scalable resources that enable them to perform tasks that they can’t manage using in-house resources. The cloud also enables scientists to quickly run tests across a variety of platforms and virtual machines with different specifications, which can aid rapid prototyping, interoperability testing, and performance testing. A cloud solution can also provide researchers with ways to augment their existing resources by handling peaks in demand and reducing competition for local resources, when multiple teams are working toward an upcoming deadline. By reducing dependence on on-site computing, research projects can increase efficiency and scalability, and deliver greater results faster.
Watch this video to learn how Australian National University (ANU) is using Microsoft Azure to help decode more than 7 billion base pairs of DNA in the human genome and take its research further than ever before.
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.
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.