In today’s era of AI, accelerated innovation is an ever-present challenge for businesses. They are concurrently facing budget and time-to-market constraints while customer expectations continue to mature and evolve, particularly in automotive, mobility, and transportation. The right technology to face these challenges must drive transformation and deliver more value in less time.
Microsoft automotive, mobility, and transportation reference architectures
To support businesses in meeting these goals, Microsoft announced three mobility reference architectures at CES 2023. In 2024, we are adding four new reference architectures to our industry portfolio. These new resources help our partner ecosystem support their customers in driving the future of mobility across research and development, manufacturing, supply chain and logistics, marketing, sales, and aftersales.
Make the most of mobility with docs and supported reference architectures
Microsoft reference architectures are designed to provide structure and guidance for project managers, enterprise architects, and IT managers to deliver agile business outcomes. Solutions utilizing the mobility industry reference architectures are available through qualified partners and Microsoft industry solutions.
The software defined vehicle (SDV) toolchain reference architecture enables a modern cloud-native software development toolchain leveraging strong developer tooling services with additional functionality specific to automotive. The reference architecture covers continuous development, testing, and delivery of high-quality software.
This plug-and-play approach provides the following benefits:
The SDV reference architecture includes the following elements:
Azure marketplace
The Mobility Copilot reference architecture enables various use cases across the value chain to increase productivity, unleash creativity, and drive innovation with AI. The architecture supports scenarios in research and development, production, marketing and sales, in-vehicle services, and after-sales or repair with cutting edge architecture built on the latest AI models with diverse UX paradigms for optimal customer and employee journeys.
Mobility Copilots enable the following unique value propositions:
Companies like Mercedes-Benz have already started to implement Microsoft AI-based solutions across the value chain such as production, sales and marketing, and in-vehicle services. Other industry examples include GM, Amadeus, CarMax, and Air India.
The Azure innovation accelerator (Azure IX) is an end-to-end cloud solution providing modern, flexible, and secure Azure-based IT infrastructure that is built and maintained by a highly skilled DevSecOps team. The solution can be implemented within six to eight weeks, facilitating fast innovation. This approach optimizes time to value and provides a secure environment for single or multiple companies to collaborate with minimal data management burden. This architecture can be used for various scenarios that require agile collaboration including partner ecosystem enablement, high security environments, short-term quality investments, quick-deployments, or limited IT capability.
This rapid deployment solution offers the following benefits:
The Azure innovation accelerator architecture consists of the following elements:
Within the automotive industry, Azure IX can be used as a base platform to quickly advance all mobility services including SDV, Mobility Copilots, and autonomous vehicle development. One of Azure IX’s first successful use cases has been in advancing autonomous driving development. Advanced driving assistance systems (ADAS) technology needs strong collaboration between various stakeholders in the development of new functions that require a highly flexible, secure environment built for change.
The Microsoft unified view of the customer reference architecture brings all sources of customer data together, enabling deep insights and hyper-personalized mobility use cases for automotive and industrial original equipment manufacturers (OEMs) and dealers in travel, aviation, and in mobility-as-a-service. The customer 360 blueprint sets the foundation for a unified customer data platform (such as data integration, pipelines, and consent handing) to combine relevant data sources into one single view of the customer.
Some of the benefits of this architecture include:
Unified view of the customer is based on a harmonized data model using Microsoft Fabric to provide customer core data including unified customer identity. The architecture illustrates how live customer interactions are processed through event stream and real-time analytics, then integrated with marketing content to create a comprehensive customer 360-degree profile through Microsoft Fabric. This profile is enriched with data from third-party marketing clouds and central marketing channels, which is then analyzed for insights and recommendations using Microsoft Dynamics 365 Customer Insights.
Customers like Amadeus are leveraging customer centric solutions to create more choice for their customers, better quality service, and smoother trip experiences.
The Connected fleets reference architecture enables faster, lower cost, higher value fleet management solutions—such as asset management and field service—by simplifying value extraction from connected vehicle data, streamlining integration with business systems, and facilitating specialized analytics.
The Connected fleets integration framework enables partners to build value-added solutions with unique capabilities, while also enabling the customer to take advantage of key solutions such as Microsoft Fabric, Microsoft Dynamics 365, and Azure OpenAI Service. This eliminates the need for fractured and expensive solutions built from multiple sources, allows faster development and time to value, and utilizes the Microsoft Cloud to reduce costs. With flexible, standards-based data ingestion, the architecture supports existing connected vehicle solutions, OEM feeds, or data exchanges as appropriate. This flexibility helps to increase scope and reduce cost of vehicle data acquisition.
The Connected fleets reference architecture is enabled by the following partners: Accenture, Cognizant, Connected Cars, DSA, Hitachi Zero Carbon, HCL Technologies, Luxoft, Mojio, Netstar, STZRE, and TomTom. A live instantiation of the power of composing multiple partner solutions together is now available and underpins a new demo shown first at CES 2024, as illustrated in the following graphic:
The autonomous vehicle operations (AVOps) reference architecture provides an integrated, end-to-end workflow for developing, verifying, and improving ADAS and autonomous vehicles (AVs).
Industry-leading Microsoft Azure cloud services are provided to integrate with your tool chain, while our partners complete a strong, industry-vetted global, secure, and hyper-scale cloud-based development platform that spans development, validation, runtime deployments, and feedback loops.
Regardless of level of autonomy, developing a self-driving software stack and bringing a new car to market presents a series of workflow challenges:
AVOps provides a templatized digital testbed that can be spun up on demand, shared across the entire value chain, and used to shorten time-to-market. This approach helps our automotive customers transform themselves into software and AI companies.
The architecture also helps optimize operational ADAS and AV workflow coordination and feature development, verification, and validation through:
The white paper “Enhancing efficiency in AVOps with Generative AI” explores how generative AI can help reduce the complexity, cost, and time of developing and testing autonomous driving systems across simulation, validation, optimization, and personalization. Use cases include generating synthetic scenarios, validating sensor data, optimizing driving behavior, and personalizing user experience.
The AVOps reference architecture provides a collaborative, open framework built on common processes that helps automate, manage, and closely monitor the validation processes for software and hardware deployment. The following Microsoft partners provide additional value-added capabilities to this framework: Ansys, Akridata, Applied Intuition, Cognata, dSPACE, and Linker Networks.
The digital selling reference architecture enables reinvention of the traditional customer journey by transforming real-life spaces into an immersive and interactive digital environment that reaches a wider range of customers.
The reference architecture enables unique, efficient, and immersive ways to engage with consumers by unlocking the power of the metaverse to improve communications, sales, and operations. Enhanced by partner capabilities, focus areas include digital marketing, e-commerce, high-fidelity 3D rendering, and industry-specific systems. By integrating disparate data from the customer, field service, and dealer management systems, improved visibility, collaboration, and data insights can drive more personalized, multi-channel customer experiences. Through the digital selling reference architecture, cloud and partner capabilities, OEMs, dealers, and mobility, service providers now have the flexibility to enhance in-person interactions along with enabling new digital customer engagement models.
The following announcement by Fiat highlights the transformative impact of digital selling.
A group of curated expert partners will drive innovation while providing excellence in omnichannel fulfillment, immersive and virtual user experiences, and end-to-end process coverage. These partners include: Sitecore, Adobe, Touchcast, Annata, and Stella Automotive AI.
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Source: Microsoft Industry Blog