Machine learning (ML) uses algorithms to identify patterns within data that can be used for making predictions. For example, forecasting the potential market success of products and services and even threats before they’re visible to humans. Read more about the potential of ML on this @Microsoft Azure website.
A 315% ROI is impressive in any field, and in this blog, you can see how @Microsoft Dynamics 365 Customer Service helped businesses achieve that when they upgraded their service operations. Read about this comprehensive @Forrester Total Economic Impact study, and reach out to to set up a consultation..
@Microsoft Copilot can help you find information, dig up lost Chat messages and organize your notes. Learn how #Copilot can help you be more productive in this article. 👉
Today’s enterprises need to build and deliver cloud-native, intelligent applications, realize time-to-market improvements and see cross-functional productivity gains. How do they find solutions that reach these goals? Read this Forrester analyst report examining the economic impact of @Microsoft Azure Application Innovation.
Every organization knows its IT infrastructure needs to be built on a secure and well-managed foundation to take advantage of the latest advancements in AI and cloud-native services. Take a moment to read this blog showing how @Microsoft has been recognized by Gartner® as a Leader in the recently published 2023 Gartner® Magic Quadrant™ for Strategic Cloud Platform Services. It’s another example of how Microsoft is working to create today’s solutions and tomorrow’s breakthroughs safely and responsibly.
When you’re racing to meet deadlines, it helps to have an intelligent assistant at hand. @Microsoft Copilot in Chat can help. This brief video shows an example.
When an organization has thousands of employees spread across several nations, it’s imperative to have an efficient method to quickly answer questions the workforce might have. See how food logistics giant Nagel-Group used @Microsoft Azure OpenAI Service to create an AI solution that saves time and keeps their employees informed.
Legacy technology may be reliable, but it can lack the ability to leverage data with scalability, agility and elasticity. How are you managing these needs using your present infrastructure? If you’re looking for better answers, read this customer story about how insurance giant Canopius shifted from the complications of dual data centers to the geographically scalable and cost-effective cloud environment in @Microsoft Azure.
When a large technology consulting firm investigated the best avenues to use an AI solution, they saw that by combining @Microsoft Copilot with the Windows 11 Pro they were already using, they could enhance their AI experience. Read this customer story showing how Trace3 used this potent combination from Microsoft to add efficiencies, productivity and security to their everyday operations.
Microsoft Copilot leverages large language models, the Azure control plane and insights about your Azure environment to help you work more efficiently. Like to learn more? Read this insightful blog about how @Microsoft Copilot for Azure helps tailor information for your own Azure environment and simplify your Azure management experience.