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IA aplicada a empreses i mobilitat sostenible:

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IA aplicada a empreses i mobilitat sostenible:

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Link Revolutionizing mobility: Solutions for an AI-powered future

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Link Revolutionizing mobility: Solutions for an AI-powered future

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The mobility industry is undergoing a transformative shift, driven by rapid advancements in data and AI. Generative AI and agentic AI are revolutionizing how vehicles are designed, manufactured, sold, and used-becoming crucial to the development of software-defined vehicles (SDV), advanced driver assistance systems (ADAS), autonomous driving (AD), and in-vehicle customer experiences. Generative AI is a game changer, redefining research and development (R&D) and product design. It's helping automotive manufacturers realize time and cost savings, as well as quality improvements, by adding value at all stages of the R&D process. Agentic AI systems leverage a combination of rules, logic, and machine learning to function autonomously, adapting to real-time data and executing complex workflows. For instance, agentic AI can enhance efficiency and effectiveness across the enterprise, including customer engagement, supply chains, manufacturing, internal training, and overall process optimization.

Microsoft is committed to supporting the automotive industry with cutting edge technologies, an ecosystem of partners, and industry-specific reference architectures and toolchains-helping automotive companies enable game changing autonomous agents, accelerate their digital transformation, and quickly monetize their innovations. The future of mobility is being shaped by AI, and Microsoft is here to enable the automotive industry to drive that change forward.

Here are some highlights of Microsoft's solution portfolio for the automotive and mobility industry:

Microsoft reference architectures for mobility

Design and engineering

PLM on Azure

Azure Innovation Accelerator new AI agent

Vehicle platform

Software Defined Vehicle new AI agent

Digital Cockpit new AI agent

Autonomous Vehicle Operations new AI agent

Mobility services and customer experience

Mobility Agents new AI agent

Connected Mobility new AI agent

AI for Airlines and Airports new AI agent

Digital Selling

Unified View of the Customer

Microsoft reference architectures are crafted to offer essential structure and guidance for industry engineers and architects, enabling them to achieve agile business value. Solutions leveraging these mobility industry reference architectures are accessible through our network of qualified partners and in-house expert consultants, Microsoft Industry Solutions Delivery. Whether you are looking for an off-the-shelf solution or a hyper-personalized custom delivery, Microsoft industry reference architectures enable cutting edge innovation for all.

Design and engineering solutions

Product Lifecycle Management migration reference architecture

Product Lifecycle Management (PLM) solutions are one of the most mission-critical applications for automotive manufacturers, serving as a source of truth for digital product definition and configuration across the manufacturing lifecycle. Moving PLM to the cloud has become imperative as pressure increases for innovation-accelerating software and hardware content, time-to-market, quality, and sustainability. This is a critical foundation where automotive companies can unlock innovation with AI, and in doing so realize real value-reducing design cycle times, improved productivity efficiencies, improved quality, enhancing existing products, and developing new, differentiated, and innovative products-ultimately getting new products to market faster. AI-powered PLM and design and engineering solutions are transforming highly complex automotive engineering today. The Microsoft Azure PLM migration reference architecture provides an overview of common and recommended implementation choices, terminology, technology principles, common configuration environments, and composition of applicable Azure services that unlock this AI-powered innovation as part of your digital thread of multi-disciplinary design and engineering solutions, including PLM, Application Lifecycle Management (ALM), mechanical and electrical computer-aided design (CAD), computer-aided manufacturing (CAM), simulation, and analysis.

PLM on Azure partners

Azure reference architecture

Azure Innovation Accelerator (Azure IX) is an Azure-cloud based transformation toolkit helping teams reduce time-to-value covering technology, process, and culture. This offer can be used as a neutral tenant collaboration platform for multiple teams and partner ecosystems and offers a high security production-grade environment within weeks. Enabled with AI, Azure IX enhances communication, data sharing, and project management, ensuring that every team can work together seamlessly. AI capabilities are already built-in out-of-the-box to utilize existing content. Automotive customers are leveraging Azure IX to create automated driving platforms that integrate a data-driven and agile development architecture to run advanced driver-assistance systems (ADAS) and autonomous driving (AD) pipelines in a safe and neutral environment. Leveraging AI, this platform processes vast amounts of data, enabling rapid development and deployment of ADAS and AD technologies. This collaboration exemplifies the power of AI in driving the future of mobility.

Vehicle platform solutions

Software-defined vehicle reference architecture

In the evolving landscape of SDVs, where vehicle functionalities traditionally governed by intertwined hardware and software are now decoupled, virtualized, and steered predominantly by software, several industry challenges emerge-managing software complexity, adapting to evolving technology, and increasing consumer demands. SDVs require a new approach to the design and development of vehicle software and hardware architectures, as well as the tools and processes to manage them.

Microsoft's software-defined vehicle reference architecture enables a modern cloud-native SDV software development toolchain that uses Microsoft's strong developer-centric tooling. The reference architecture covers development, testing, and delivering high quality software. This is further supported by open source, community-based in-vehicle software components and stack contributions as part of the Eclipse Foundation SDV Working Group. These contributions define key components and features to facilitate integration, deployment, and management of various vehicle functions and services.

Software-defined vehicle partners

Digital Cockpit reference architecture

The Digital Cockpit reference architecture integrates AI services to enhance customer in-vehicle experiences, transforming the way users interact with their vehicles. By incorporating AI, the Digital Cockpit creates a personalized and intuitive user experience, making every journey more enjoyable and efficient. With customers like Mercedes-Benz, TomTom, Audi, SAIC, MG, NIO, XPeng, Sony Honda Mobility and Lynk & Co, the Digital Cockpit is redefining the future of in-car technology and user interaction.

Digital Cockpit partners

Autonomous Vehicle Operations reference architecture

Autonomous Vehicle Operations (AvOps) is the digital testbed for autonomous driving development that integrates all development processes into one platform. This revolutionary platform brings together every aspect of autonomous driving development, creating a seamless and efficient environment for innovation. By leveraging AI, AvOps ensures that every stage of development, from initial design to final testing, is optimized for performance and safety. With prominent customers like Wayve, Sony Semiconductor Solutions, Bosch, Claas, Denso, NVIDIA, Ansys and Voxel51, AvOps is setting the standard for the future of autonomous driving.

AvOps partners

Customer experience solutions

Mobility Agents reference architecture

Mobility Agents are transforming the mobility industry by enabling copilot and AI assistant use cases across the entire mobility value chain, from R&D to Aftersales. These agents, built on industry-specific AI models, seamlessly integrate into user experiences, enhancing both customer and employee interactions. By leveraging AI, Mobility Agents significantly improve efficiency, accuracy, and user satisfaction, making them indispensable tools for automotive companies. Leading companies like CarMax, Porsche, Mercedes-Benz, Audi, Volvo, Bosch, BMW, Nissan, KPIT, and Maruti Suzuki are utilizing Mobility Agents to streamline operations and enhance customer interactions. For instance, Toyota's O-Baya agents employ AI to provide valuable support throughout the entire lifecycle of a vehicle-from research and development to aftersales service. Mobility Agents are at the forefront of this transformation, empowering partners to build advanced mobility solutions that integrate AI to boost productivity and decision-making, ultimately accelerating the automotive sector's transformation.

Mobility Agent partners

Connected Mobility reference architecture

Connected Mobility accelerates value derived from vehicle and asset data combined with analytics, geophysical, and back-office technologies to manage vehicle operations. By harnessing the power of AI, Connected Mobility transforms raw data into actionable insights-optimizing vehicle operations and enhancing overall efficiency. With customers like Volvo, Diamler Trucks, BWT Alpine, Porsche Motorsports, HERE Technologies, Netstar, Navistar, Annata, and BMW, Connected Mobility is at the forefront of the smart transportation revolution, driving innovation and value across the industry.

Connected Mobility partners

AI for Airlines and Airports reference architecture

The AI for Airlines and Airports reference architecture is the first in our portfolio for mobility in the aviation industry. The reference architecture is designed to enhance critical areas of airlines and airports, from passenger experience to operational efficiency. Industry-specific AI models seamlessly integrate into various touchpoints, providing enhanced experiences for both travelers and airport staff. Leveraging AI, this architecture improves efficiency, accuracy, and user satisfaction, making it an indispensable tool for airlines and airports. Companies like American Airlines, Lufthansa, and Miami International Airport are utilizing this architecture to streamline operations and enhance customer interactions. For example, AI-powered solutions are being used to provide real-time updates, personalized travel recommendations, and efficient crew coordination, ensuring a seamless and enjoyable journey for passengers.

AI for Airlines and Airports partners

Digital Selling reference architecture

The Digital Selling offering is a comprehensive digital retailing offer that empowers mobility service providers and marketers to use AI for promoting hyper-personalization while building customer trust and increasing brand loyalty and profitability. This solution leverages AI to deliver tailored marketing campaigns and personalized customer experiences, driving engagement and loyalty.

Digital Selling partners

Unified View of the Customer reference architecture

The Unified View of the Customer provides a blueprint for new revenue generation and customer-centricity. By leveraging AI, this solution offers a comprehensive and holistic view of each customer, enabling personalized and targeted marketing strategies. Leading automotive companies enhance their platforms to improve user experience and connectivity, showcasing the transformative potential of AI in creating customer-centric solutions that drive revenue and loyalty. Additionally, the profile-centric approach delivers significant value and benefits to both the customer and the company. For customers, it unifies data that was once siloed, such as vehicle maintenance schedules, finance, payment, and vehicle features. For companies, this data can inform large-scale trends among customers and enable targeted benefits. Furthermore, the Unified View of the Customer serves as the foundation for generative AI customer-facing chatbots, assistants, and agents.

Explore Microsoft mobility solutions

Customers can work directly with Microsoft Industry Solutions teams on cutting-edge custom projects that offer a short go-to-market time. Whether you choose ready-to-deploy partner solutions or bespoke projects with Microsoft partners or Microsoft Industry Solutions Delivery, we provide the expertise and support to ensure your success. With Microsoft, you can leverage the value of agentic AI, accelerate your digital transformation, and quickly monetize your innovations. We're here to help you lead the future of mobility quickly, creatively, and securely.

Microsoft in mobility and manufacturing industries

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Revolutionizing mobility: Solutions for an AI-powered future - Microsoft Industry Blogs

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The future of mobility is being shaped by AI, and Microsoft is here to enable the automotive industry to drive that change forward. Learn more.

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PDF (dins del link) Accelerating Sustainability: AI-Driven Boost for Electric Vehicle Transportation

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PDF (dins del link) Accelerating Sustainability: AI-Driven Boost for Electric Vehicle Transportation

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Accelerating Sustainability: AI-Driven Boost for Electric Vehicle Transportation | International Journal of Computations, Information and Manufacturing (IJCIM)

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The integration of Artificial Intelligence (AI) into Electric Vehicles (EVs) promises a transformative landscape for sustainable transportation. This research envisages a future where AI empowers EVs to champion environmental stewardship and efficiency. We explore two primary hypotheses focusing on AI’s potential: firstly, its role in enhancing energy efficiency and prolonging EV sustainability, and secondly, its impact on smart charging infrastructure to expedite EV adoption. Drawing on literature reviews, case studies, and stakeholder engagement, we uncover the strategic, technical, and practical dimensions of AI in EVs. Our mixed-methods approach involving surveys and interviews with diverse stakeholders aims to illuminate AI’s transformative potential and its implications for a sustainable transportation future. Emphasizing collaborative partnerships, education, and scalability, our recommendations aim to propel the seamless integration of AI into EVs, fostering a culture marked by sustainability and innovation. Ultimately, this endeavor envisions an ecosystem where AI and EVs harmonize, leading towards a cleaner, more efficient transportation landscape.

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"La IA transforma la mobilitat amb dades i algoritmes"

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"La IA transforma la mobilitat amb dades i algoritmes"

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Bosques Sostenibles: Plantando vida para el futuro

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▷ La IA transforma la movilidad con datos y algoritmos ◁

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Descubre cómo la inteligencia artificial está revolucionando el transporte 🚗✨. ¡Explora su impacto en decisiones y planificación! ➡️

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Link Tableau '' Electric Vehicles Population Dataset ''

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Link Tableau '' Electric Vehicles Population Dataset ''

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