"We will continue to explore innovations such as Azure Machine Learning and work with data scientists at Bing to develop the leading-edge analytics that will help us grow."
"We deployed Teams as part of our roadmap, and it all came together right when COVID-19 hit and we were forced to work remotely. Sending our corporate team home was a non-issue because we had Teams in place."
"One clear business benefit is operator efficiency. By proactively identifying pump problems through edge analytics, companies reduce unplanned downtime, which decreases costs, increases production, and increases the agility of maintenance services."
"Streaming at scale, across long distances, to big audiences poses a lot of technical issues, but our ultra-low-latency service addresses them as a whole, and we’re using Microsoft Azure to help us do it."
“We can efficiently provision the different servers and configurations we need for an ultra-low-latency network, and Azure interoperates well within our DevOps workflow.”
"We used Azure SignalR Service to bring our concept to market very quickly, and we’re optimistic about the market for solutions based on AR technology."
"HLS typically has latency in the 15- to 30-second range. The Wowza ultra-low-latency service can bring that down to two seconds or less, which fills a big need in the streaming market."
"We chose Azure SignalR Service because it supports the highly interconnected environment we need to link the application logic to the holograms in real time. And WebSocket coding is easy with Azure SignalR Service."
"We’re using Ethereum on Azure to transform how the travel industry resolves hotel booking disputes in real time."
“Hotel room booking is complex and decentralized, with millions of transactions across many different systems. We use blockchain to provide a single source of truth for buyers and sellers in the hotel marketplace.”
"We see the blockchain technology we are running on Azure as a natural evolution of our aspirations in the B2B space. All our travel partners face these challenges, so we expect to generate a lot of interest around Rezchain."
"By using Azure Databricks analytics to understand payment patterns, our customer service reps will be able to make targeted, proactive collection phone calls. We expect to recover 90 percent of outstanding funds by their due dates."
"Because we wrote Experience Manager in Java and not .NET, we were initially worried about deploying in Azure. However, the product works well in Azure."
"Using Azure frees us to focus on where we add value—developing great software and delivering great customer experiences."
"By using Azure, we can proceed with all manner of clever ideas that were previously off the table because of high development costs."