"By migrating human resource management data to the cloud, Microsoft solutions enabled us to better provision the technological resources in which we had already been invested. Our management capacity has been enhanced, resulting in better performance and productivity at all levels."
"AvePoint is the Microsoft Cloud expert, with more than 800 R&D team members dedicated to Office 365 and SharePoint development."
"As opposed to some of the other cloud options available to us, we recognized that Azure was the more intuitive choice. That goes for our Chinese audience, as well as the museum, since solutions from other major providers may be less accessible in their country."
“My team needs a highly developed, mature solution to handle that volume.”
“Our retail partners operate with a daily mindset, The days of getting them week-old or month-old data are largely gone. We believe that the vendors who can respond nimbly will be the ones that retailers trust to help them win in the marketplace.”
“The key is having insightful, meaningful data. In some ways, the proliferation of data makes decision making harder than ever. The ability to analyze data, quickly glean actionable insights, and convert those to compelling, customized programming is at a premium. Our retail partners, more than ever, value this capability.”
"As we looked at other vendors and platforms, we realized that it was a no-brainer. Microsoft offers the cohesive solution we need. Everything it brings to the table fits beautifully with our direction. It has become an outstanding support for us."
"Azure is one of the easiest cloud technologies that we've come across. It’s also one of the most comprehensive in terms of all the different products that you can find in one place."
"In building Steer, we used different tools and services such as Service Bus, Cosmos DB, and Cognitive Services. Azure allowed us to choose from a range of the latest technologies for Steer."
"Microsoft Azure Databricks has honestly changed the way we work. There was no way that a human would be able to look through that much data and determine if there was a problem. Really, in this case, it was a problem that could only be solved by AI."
"It offers us the ability to understand how our customers use water and, hence, the best advice we can give our customers as to how they could save water."
“We’ve been able to deliver an eleven percent reduction in demands across households within these areas.”
“We actually use our own machine learning training pipeline, which we can connect via interfaces to the Azure MLOps release pipeline to map the entire machine learning lifecycle.”
“This is where our decision to implement this technology is truly paying off. Because by having a two-way communication, as opposed to just getting the data in, we can make a real impact on the environment.”
“It ultimately comes down to how we scale individual processes and what the cost implication will be. Our old SAP costing run would take about 12 hours. But with Azure Synapse we can scale out and have that data in five minutes or even at the push of a button …
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