The integration of Microsoft Copilot into Dynamic 365 Guides brings generative AI to this mixed reality solution. Copilot for Dynamics 365 Guides transforms frontline operations, putting AI in the flow of work, giving skilled and knowledge workers access to relevant information where and when they need it.
Government organizations are as eager as any business sector to harness the power of generative AI to transform their operations and improve service delivery. But as more and more of them initiate early exploration, experimentation, and eventual implementation, the unique challenges of successful adoption in governments are emerging.
![[4:56 PM] Jordan Davis (Wipro Designit Services, Inc.) Green background with colored swoops on the top and an image of a young adult helping older adult with a computer.](https://www.microsoft.com/en-us/industry/blog/wp-content/uploads/2024/04/MSFT_Azure_APR08_328468_Blog_Blogheader_240408_V01-1-300x169.webp)
In the rapidly evolving landscape of healthcare, the integration of artificial intelligence (AI) isn’t a futuristic vision: It’s a present reality. Azure OpenAI Service is transforming the way care is delivered and experienced by patients and providers alike. As healthcare providers and tech companies collaborate to harness the power of generative AI, they pave the way for more efficient, accessible, and personalized healthcare solutions that promise to redefine patient care for the better.
In today’s complex global environment, public sector organizations are seeking to modernize their operations by tapping into the power of the hyperscale public cloud and cutting-edge technologies.
The domain of critical underwater infrastructure is a strategic and challenging environment that requires cloud-enabled innovative and interoperable capabilities to enhance data and network management for undersea operations.
With the emergence of generative AI, Microsoft Sustainability Manager continues to expand at a rapid pace, enabling an unprecedented level of interaction, analysis, and insight to help you make informed, data-driven decisions and drive change.
We are announcing the private preview of manufacturing data solutions in Fabric and copilot template for factory operations on Azure AI, under the Microsoft Cloud for Manufacturing. These solutions help manufacturers unify their OT and IT data estate and accelerate and scale data transformation for AI on Fabric, our end-to-end analytics SaaS based platform.
Manufacturing is an industry known for generating data from a wide variety of sources. From machines and sensors to enterprise systems and human interactions, companies create massive amounts of siloed data that remains an untapped resource, limiting the potential for data-driven advancements and agility. Data fragmentation created by proprietary formats and lack of interoperability makes it difficult to achieve cross-domain applications of data.
The show serves as a powerful stage to witness firsthand the profound impact of AI on the industry. At Microsoft, we are bringing these elements to life across our platform and ecosystem. Attendees will see that we have moved beyond hype and are deploying this technology at scale powered by data and the Microsoft Cloud.
Today, government agencies are actively evaluating how to utilize AI to spark transformation in ways that help improve accountability and reignite economic progress. Microsoft for Public Finance is here to help.
By embracing these changes strategically and leveraging Azure Data Manager for Energy and tools from independent software vendors, such as KADME, companies can maximize the value of their legacy assets while embracing the future of data integration and analysis. This can go further with generative AI applications that go beyond personal productivity.
After the excitement of HIMSS24, healthcare organizations are harnessing AI momentum leveraging our partner network to bring transformative healthcare solutions to market. Our presence at the event revolved around the theme ‘shaping a healthier future.’
Microsoft commissioned a research report in collaboration with MIT Technology Review Insights to uncover the state of AI adoption, expectations, and challenges to scaling AI in the manufacturing industry.
