Your customer service teams have a lot on their plate. Not only do they have to troubleshoot problems efficiently, they must also deal with upset or worried clients while they do so. And to add another challenge, they have the added pressure of knowing that a single misstep can potentially have devastating consequences for their business’ finances and reputation.

Thankfully, digital transformation has equipped today’s customer service teams with the technology they need to be better prepared for their next customer encounter. Now, artificial intelligence has enabled client-facing teams to come prepared with accurate data to better understand a customer’s issue and solve it effectively.

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While innovation has supplanted cost savings as the primary driver of cloud migration for many businesses, moving to the cloud needs to make sense for your bottom line. Learn about the unbeatable costs offers and benefits of migration to Azure cloud.

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Orchestrating data from multiple sources is important when compiling an accurate “big picture” to inform strategic action. This infographic offers 5 keys to provide insights and recommendations to your team.

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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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