“Since the public cloud came into being, the lack of integration between on-premises and public clouds in application deployment and operation methods has put a heavy burden on technicians.”
“To date, we’ve helped homebuyers flag over 600,000 deficiencies, each with its own attributes, characteristics, tags, etc. We’re very proud of how our technology helps protect homebuyers and gives them a more efficient means to ensure their expectations get met.”
“With model interpretability in Azure Machine Learning, we have a high degree of confidence that our machine learning model is generating meaningful and fair results, and we have the ability to understand the particulars of any individual case."
“We’re a more connected company because we have better ways of communicating on local and global levels.”
"Because of the success of Peirce, doors are now opening to allow others to apply for state-level funding for the same type of FDD solution. Ruthy has established the blueprint for smart cities and towns."
“With the FDD system, it is really easy to look at one floor plan and know what the problems are. I’m not in the building, but I know what’s happening.”
"We leverage big data and technologies like Azure HDInsight and Power BI with Power Map to understand and glean behaviors on how they operate, and anticipate their next moves. And we have deeper partnerships with industry, academic experts, and law enforcement, too – all of which helps us drive greater impact."
"We don’t expect to see Microsoft Office loaded on a PC 700 times—let alone see it loaded 700 times onto each of four PCs. We didn’t understand it, but it confirmed that whatever was going on in Des Moines wasn’t legitimate."
"Nutanix had what we wanted: an infrastructure that would let us start small and scale out gradually, The Nutanix platform supported Hyper-V and contained integrated solid-state storage fed by intelligent tiering that would boost application performance. Once we saw how simple it would be to deploy and manage, the Nutanix platform was a no-brainer."
“One of the things we’re able to do with predictive analytics in Azure is reduce waste, whether it’s from a process or design issue, or as a result of maintaining excess inventory to ensure we have enough for shipment. We’re confident that we can produce a good-quality product all the way through the line. It’s a sort of just-in-time system. We’re able to pull instead of push the product and increase both our capacity and our ability to meet our deadlines.”
"Microsoft has been great in helping us focus on the end goal and getting all the right pieces in place for NanoLearn to be successful."
"One significant reason we chose Azure is that we believe Microsoft has a solid vision for how on-premises and cloud products and tools are going to work together."
"Visual Studio Online allows us to be more nimble and share projects more easily among our staff worldwide; and it integrates well with our Git repositories."
"The facilities for shared keys, caches, code, tables, and other components within Service Fabric allow us to do what we need to do without having to write tons and tons of very complicated code."
“Our philosophy is that no customer is left behind. Before we ever consider evolving the PI System, we first think about how it will effect existing customers.”