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Microsoft Azure (Microsoft) > 实例探究 > Sustainable Digital Transformation at Rolls-Royce with Microsoft Azure and AI

Sustainable Digital Transformation at Rolls-Royce with Microsoft Azure and AI

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公司规模
Large Corporate
地区
  • Europe
国家
  • United Kingdom
产品
  • Azure
  • Azure Databricks
  • Azure Machine Learning
  • Power BI
技术栈
  • Azure
  • Azure Databricks
  • Azure Machine Learning
  • Power BI
实施规模
  • Enterprise-wide Deployment
影响指标
  • Environmental Impact Reduction
  • Digital Expertise
技术
  • 分析与建模 - 大数据分析
  • 分析与建模 - 机器学习
  • 基础设施即服务 (IaaS) - 云计算
适用功能
  • 商业运营
用例
  • 预测性维护
  • 过程控制与优化
服务
  • 云规划/设计/实施服务
  • 软件设计与工程服务
关于客户
Rolls-Royce is a renowned British brand with over a century of experience in delivering excellence through its engines. The company operates in industries that are critical to the global transition to a net zero carbon future, such as aviation. Rolls-Royce is committed to helping its customers, including airlines that use its engines, reduce their carbon emissions. The company is focused on sustainability and innovation, aiming to continue its legacy for another 100 years by embracing new technologies and ways of working. With a large corporate structure and a global presence, Rolls-Royce is a key player in the manufacturing sector, particularly in the United Kingdom.
挑战
Rolls-Royce, a leading British brand in the manufacturing industry, is facing the challenge of transitioning to a net zero carbon future. The company recognizes the need to decarbonize rapidly to ensure its longevity and continue delivering excellence in its engine manufacturing. The challenge is compounded by the vast amount of flight data that needs to be processed and analyzed to optimize carbon output. The existing on-premises infrastructure was insufficient to handle the data volume and processing power required for this task.
解决方案
To address the challenge of processing and analyzing vast amounts of flight data, Rolls-Royce partnered with Microsoft to leverage the Microsoft Azure platform. Azure provided the necessary compute power, scalability, and security to handle the data processing needs. By integrating Azure Databricks and Azure Machine Learning, Rolls-Royce was able to run extensive data analyses, such as processing 100 billion flights, to gain new insights. The use of Power BI further enabled the engineering team to access and utilize these insights effectively. The partnership with Microsoft not only provided the technological capabilities needed but also aligned with Rolls-Royce's commitment to sustainability and excellence.
运营影响
  • Rolls-Royce successfully transitioned to using Microsoft Azure for its data processing needs, allowing for the handling of large volumes of flight data.
  • The integration of Azure Databricks and Azure Machine Learning enabled Rolls-Royce to run extensive data analyses, providing new insights for performance improvements.
  • The use of Power BI facilitated the dissemination of data insights to the engineering team, enhancing their ability to optimize operations.
  • The partnership with Microsoft supported Rolls-Royce's sustainability goals by providing a scalable and secure platform for data processing.
  • The collaboration with Microsoft reinforced Rolls-Royce's reputation for excellence and innovation in the manufacturing industry.
数量效益
  • Rolls-Royce managed to run 100 billion flights in Databricks on the Azure platform.

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