1 Maggio 2024
2024 release wave 1: New copilot features to enhance Microsoft Industry Clouds capabilities

Microsoft Industry Clouds continue to bring new innovations that provide significant capabilities to transform your business. The current 2024 release wave 1 contains several new features across Microsoft Cloud for Manufacturing, Microsoft Azure Data Manager for Agriculture, Microsoft Cloud for Sovereignty, Microsoft Cloud for Sustainability, Microsoft Azure Data[…]

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30 Aprile 2024
From pledge to action: Enabling the multidimensional energy transition with data and AI

There is no denying the need to accelerate the shift to cleaner energy, whether through cleaner hydrocarbons or renewables. Yet, the last few years have revealed that a global energy transition is more complex and less linear than we anticipated. While urgency builds for decarbonization, so does the[…]

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25 Aprile 2024
Generative AI and the path to personalized medicine with Microsoft Azure

The post Generative AI and the path to personalized medicine with Microsoft Azure appeared first on Microsoft Industry Blogs. Source: Microsoft Industry Blog

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25 Aprile 2024
3 ways to solve the skilling challenge for an AI-empowered government workforce

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.[…]

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24 Aprile 2024
Streamline controls with Microsoft Cloud for Sovereignty

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 such as large language models (LLM). Microsoft Cloud for Sovereignty provides the guidance, tools, and controls to help public sector organizations[…]

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22 Aprile 2024
Early adopters of Microsoft Copilot in Dynamics 365 Guides recognize the potential for productivity gains

In this era of rapid technological advancement, our industrial landscape is undergoing a significant transformation that affects many processes and people—from the way operational technology (OT) production data is leveraged to how frontline workers perform their jobs. While 2.7 billion skilled individuals keep manufacturing operations going, their attrition[…]

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18 Aprile 2024
Microsoft and partners: Securing the digital subsea environment through innovation

A comprehensive approach to deliver continuous innovation to support and secure the critical underwater infrastructure. The underwater and littoral environments remain critical to a nation’s economic interests and its ability to exploit marine resources. In addition to the traditional resources, energy production from water and wind are vital[…]

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18 Aprile 2024
Advance your carbon reduction strategy with intelligent forecasting and data analysis

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. One of our newest AI-powered features, what-if analysis (preview), is designed to help[…]

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17 Aprile 2024
Optimizing factory operations with Microsoft Cloud for Manufacturing

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[…]

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17 Aprile 2024
Accelerating industrial transformation with Microsoft AI solutions

Introducing new manufacturing data solutions in Microsoft Fabric and copilot template for factory operations on Microsoft Azure AI. Manufacturing is one of the most data-intensive industries, as massive amounts of data are generated from sources such as sensors, machines, enterprise systems, and human interactions. However, most of this[…]

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