Not long ago, the main way that major research institutes obtained the computing power they needed for new or ongoing projects was to invest in computing infrastructure, which required significant upfront investments and led to ongoing IT costs to keep the research going.

By switching to cloud computing, research organizations have discovered that they can increase their computing performance without investing in new physical servers or on-site infrastructure. The benefits of the transition are obvious: faster publication times, substantially faster data analysis, significantly lower IT spending, and increased collaboration among researchers, all thanks to improved data sharing and security.

Subscribe now to learn more about how the cloud, artificial intelligence (AI), and the off-premises data management capabilities of Microsoft Azure are empowering organizations—research and otherwise—across the world.

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Customer experience (CX) is taking the forefront as businesses discover its strong correlation to revenue growth. The drive to become an experience-focused business doesn’t just come from the C-suite. Anyone with a deep understanding of today’s digital mandate and a strong vision for what digital experiences can do for customers and the business can lead the charge. Sign up now to stay connected to show you the three smart ways to exceed your customers’ digital expectations, along with real-world success stories, to help unlock your organization’s potential.

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Toyota was already planning to deploy Microsoft Teams to connect its diverse lines of business and improve productivity, when the pandemic hit. A six-month launch plan was reduced to three weeks, connecting 40,000 people across the company and enabling a more efficient method for virtual troubleshooting of processes. Learn how Teams supports the company’s culture and ideals.

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Large upfront costs can severely limit the scope and scalability of important projects. With major research institutes that work on projects where substantial volumes of data need to be analyzed, the investment in computing infrastructure for data processing can be a major concern. They need a solution that can ensure the proper scalability of research projects and eliminate the inefficiencies of having to constantly update, upgrade, or downscale on-site servers to address the data needs of specific projects. Fortunately, cloud computing is having an enormous impact on how research is done across the globe.

Watch this video to learn how the elasticity and scalability of Microsoft Azure has allowed genome researchers at Australian National University to access only the computational resources they need while delivering results faster than ever before.

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The pandemic created havoc across nearly every industry. How will you continue to adapt as it continues to affect supply chains, how employees work, customer behaviors and demands, and various other aspects of the business landscape? Will you be ready for the next major disruption to your business? With the right tools, you can prepare and flex more efficiently as new challenges (and opportunities) emerge.

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Microsoft Azure App Service is a fully managed platform for building, deploying, and scaling your web apps. Work with .NET, .NET Core, Node.js, Java, Python, and PHP—in containers or running on Windows or Linux. Subscribe to stay connected so we can help you build your app services on Azure—all while meeting rigorous, enterprise-grade performance, security, and compliance requirements.

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Artificial Intelligence (AI) is the catalyst for the fourth industrial revolution, the most significant technological advancement thus far. AI has the potential to solve incredible challenges for all of humanity, including climate change, education, design, customer experiences, governance, and food. That said, among the biggest concerns regarding AI is the potential for unexpected and unintended consequences in building and deploying AI products.

According to Nate Yohannes, Principal Program Manager for Mixed Reality and AI Engineering at Microsoft, having appropriate representation at decision-making tables when building AI products is critical to help prevent these unfortunate scenarios. From his perspective, representation will go a long way toward preventing the unexpected consequences of AI products, and it will also guarantee that the products that are created will have the widest consumer base possible: everyone.

Listen to this podcast for an inspiring conversation about how to make the possible a reality by approaching AI with a new mindset that takes into consideration its full potential for improving the lives of everyone.

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Seamless communication, creativity, and immediacy are key factors in the digital transformation of the customer experience. As customers face pandemic-induced circumstances driving accelerated digital adoption, companies are finding they must develop a strategy for digital transformation catering to the needs of the modern-day user. That user demands authenticity, personalization, and empathy.

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