In five case studies, this eBook explains how cloud technologies can drive revenue growth, optimize processes, increase productivity, and improve customer experiences. Learn how tools like IoT, AR, and Dynamics 365 Field Service can provide transformative data insights.
View: Digitally transform your field service: 5 case studies from manufacturing
In this customer story, learn how MacDonald-Miller Facility Solutions uses Microsoft Dynamics 365 Connected Field Service and Azure IoT services to respond proactively to potential problems and fix them before they cause disruptions. Dynamics 365 gives their workforce the tools to work more efficiently and improve customer satisfaction.
Watch the multinational organization Compass successfully implement the user-friendly, scalable Dynamics 365 platform to maintain consistent customer service across their entire organization.
Teams was built to work closely with Office 365—so the fact one in five corporate employees use an Office 365 cloud service means that they are prime for a smooth deployment of Teams.
About two-thirds of Teams users are interacting with files inside the app—the number of organizations integrating apps with Teams is also rising. Again, with remote work increasing, users are finding the integration features of Microsoft Teams increasingly helpful.
In this video, you’ll see how the second largest educational organization in the world deployed Microsoft Teams seamlessly—without restrictions by some of the scale issues it faces.
Thanks to cloud technology, researchers can take advantage of faster, more advanced and more scalable resources that enable them to perform tasks that they can’t manage using in-house resources. The cloud also enables scientists to quickly run tests across a variety of platforms and virtual machines with different specifications, which can aid rapid prototyping, interoperability testing, and performance testing. A cloud solution can also provide researchers with ways to augment their existing resources by handling peaks in demand and reducing competition for local resources, when multiple teams are working toward an upcoming deadline. By reducing dependence on on-site computing, research projects can increase efficiency and scalability, and deliver greater results faster.
Watch this video to learn how Australian National University (ANU) is using Microsoft Azure to help decode more than 7 billion base pairs of DNA in the human genome and take its research further than ever before.
This blog post by Microsoft details benefits of connected field service and outlines five ways to tell when a company is ready to equip their organization with connected field service.
Thanks to AI, business applications will soon be able to answer complex questions, help users navigate interfaces, and enable cloud vendors to reduce support from personnel to manage their loads. AI is also being used in various software applications to help decision-makers identify and automate repetitive tasks, improving employee productivity. Increased understanding of how to better implement AI in business applications likely will lead to the emergence of new features, such as natural-language processing (NLP), that can help managers interact in more-intuitive ways with AI-powered apps.
In this article, you’ll learn about the innovative features powered by AI and machine learning (ML) that you can expect to see in business applications in the next five years.