How AI is finding patterns and anomalies in your data

From autonomous vehicles, predictive analytics applications, and facial recognition, to chatbots, virtual assistants, cognitive automation, and fraud detection, the use cases for AI span dozens of industries. Regardless of the AI application, though, these use cases all have a common aspect. After implementing thousands of AI projects, experts have come to realize that despite all of the diversity in applications, AI use cases fall into one or more of seven common patterns. One of them—the pattern-matching pattern—has allowed machines to digest large amounts of data to identify patterns, anomalies, and outliers in the data, so organizations can unearth previously undiscovered insights in their datasets. In this article, you'll learn how pattern-matching is being put to use in today's organizations to prevent fraud, find the best job candidates, manage inventories in times of crisis, and empower data scientists with new perspectives on how to improve critical processes.

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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.

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How AI is transforming healthcare

Artificial intelligence (AI) is driving massive innovation in the healthcare and life sciences industries. It's expediting advances in drug research and discovery, allowing for better and faster diagnoses, and enabling far greater efficiency in business processes. Considering how many can benefit from AI advancements in the healthcare industry, it's a sector where technology stands to have the one of the biggest impacts on society. Read this article to learn how #AI, machine learning, and robots will continue to shape the future of the healthcare industry and enhance patient experiences in the upcoming decades.

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In an era of distractions, Microsoft wants AI to be your coworker

Microsoft is aiming to adapt its productivity suite to a short-attention-span world, bringing years of research into products like PowerPoint, Outlook, and Excel. This article outlines how after years of slavishly digitizing and formatting words, numbers, and images, future versions of Word, Excel, and PowerPoint will be much more aware of your work and how you do it. Intelligent algorithms will find patterns and meanings in the data and use the insights to help you get through your day more efficiently. This transition to smarter work software has already begun.

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Analytics & AI solution video

This video is a quick introduction to Microsoft Analytics and AI, explaining how to expand the reach of your data insights and gain increasing levels of efficiency and personalization. By harnessing the power of Microsoft Analytics, you can inform and drive intelligent automation through AI and machine learning. 

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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.

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Deepen and engage customers with AI

Microsoft Analytics and AI accelerates digital transformation that deepens engagement, predicts outcomes, and automates operations. Subscribe now!

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