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Cloud-AI Vehicle Development - News Directory 3

Cloud-AI Vehicle Development

April 4, 2025 Catherine Williams Tech
News Context
At a glance
  • AVL and⁤ Microsoft are collaborating to transform ⁤vehicle development, leveraging cloud-based software ⁣and AI-driven agents.
  • The partnership aims to codify engineering knowledge, using it to generate complete vehicle designs.
  • The collaboration has already‍ produced initial Software as a Service (SaaS) ⁢solutions available on⁣ the Azure Marketplace.A key development⁢ is the AVL DevOps Pilot, designed to establish new...
Original source: bigdata-insider.de

AVL and Microsoft Partner to Redesign Vehicle Development with AI

Table of Contents

  • AVL and Microsoft Partner to Redesign Vehicle Development with AI
    • Engineering⁣ Knowlege Codified for Vehicle‍ Design
    • SaaS Solutions Available on Azure Marketplace
    • Executive perspectives
  • AVL and Microsoft Partner to Redesign Vehicle Development with AI: A Q&A
    • What is the core focus ⁢of the partnership between AVL and Microsoft?
    • What are⁤ the main objectives of this collaboration?
    • How is AI being utilized in this vehicle development conversion?
    • What ⁢does ‍”software-defined vehicles” mean ⁤in⁢ this context?
    • What is the role of “codifying engineering knowledge” in vehicle design?
    • How does‍ the‍ AVL DevOps Pilot contribute to this transformation?
    • What SaaS solutions have been developed as part of ⁣this partnership?
    • What‍ are the⁤ key benefits cited by AVL and Microsoft?
    • How does the partnership contribute to⁢ sustainable vehicle development?
    • What is the role of ⁢Microsoft Azure Cloud in this partnership?
    • What are the future prospects of this partnership?
    • Can you summarize ⁢the key technologies and their applications in a table?
    • What do ‍the executives say about the partnership?

Published: April 4, 2025

AVL and⁤ Microsoft are collaborating to transform ⁤vehicle development, leveraging cloud-based software ⁣and AI-driven agents. The⁣ goal is⁣ to accelerate the ⁢production of software-defined vehicles, potentially eliminating the need for hardware prototypes within 24 months, according to a press⁤ release by AVL List.

AI tools in vehicle development
AI tools offer new approaches in vehicle development. (Image: Pixabay ⁤/ Frank Rietsch)

Engineering⁣ Knowlege Codified for Vehicle‍ Design

The partnership aims to codify engineering knowledge, using it to generate complete vehicle designs. AVL reports this represents a significant shift,⁤ optimizing and accelerating the entire development process. Instead of focusing on isolated development ⁣phases,the entire vehicle ⁣system is parameterized ⁣and virtually mapped.

SaaS Solutions Available on Azure Marketplace

The collaboration has already‍ produced initial Software as a Service (SaaS) ⁢solutions available on⁣ the Azure Marketplace.A key development⁢ is the AVL DevOps Pilot, designed to establish new benchmarks in virtual vehicle development. The pilot program automates system test pipelines using Microsoft Azure Cloud and Artificial Intelligence (Azure OpenAI), which accelerates ⁢software development for software-defined vehicles. ‍additionally, a data analytics solution within Azure⁣ Cloud facilitates efficient data management and complete traceability, from virtual testing⁣ to real-world road use.

Executive perspectives

“the combination of profound engineering know-how from AVL and Microsoft’s cloud and AI technology ⁢enables completely new approaches in vehicle development,” said Jens Poggenburg, executive vice president at AVL. He added that scalable, simulation-driven methods optimize resource consumption and accelerate the market launch of innovative mobility solutions.

Verena Kreuzer, partnership manager at AVL, stated, “Together with Microsoft, we set ⁢new standards for sustainable, safe, and future-oriented vehicle development. We look forward to further deepening our cooperation in the coming years and realizing new successes.”

AVL and Microsoft Partner to Redesign Vehicle Development with AI: A Q&A

What is the core focus ⁢of the partnership between AVL and Microsoft?

The primary goal of the collaboration between ⁣AVL and Microsoft is to revolutionize vehicle development through‍ the use of cloud-based software and AI-driven‍ agents. This partnership⁣ aims to accelerate the production of software-defined‍ vehicles.

What are⁤ the main objectives of this collaboration?

The key objectives of the AVL and Microsoft partnership are:

  • To accelerate the development and⁤ market launch of software-defined vehicles.
  • To potentially eliminate the need for hardware prototypes within a 24-month timeframe, according to AVL.
  • To codify engineering knowledge for efficient ⁢vehicle design.
  • To optimize and accelerate the ⁣entire vehicle development process.

How is AI being utilized in this vehicle development conversion?

AI is being leveraged in several ways:

  • AI-driven agents: ⁣ Thes agents ⁢are ⁢used to assist in ‍the development process.
  • AVL⁤ DevOps‍ Pilot: This pilot program automates system test pipelines utilizing Microsoft azure Cloud and Artificial ⁢Intelligence (Azure OpenAI).
  • Data analytics: ⁣The ‍partnership⁣ offers a data ‍analytics solution within Azure Cloud for efficient data ⁤management and traceability from virtual ⁢testing to real-world ‍road use.
AI tools⁢ offer new approaches in vehicle development. (Image: Pixabay ⁤/ Frank Rietsch)
AI ⁢tools in vehicle development

What ⁢does ‍”software-defined vehicles” mean ⁤in⁢ this context?

A software-defined‍ vehicle is one⁢ where the majority of features and functionalities are ‍controlled and updated through software, rather than being dependent on physical hardware. This allows⁢ for quicker updates, ‍improved ⁣functionality, and greater adaptability in‍ vehicle design and‍ capabilities.

What is the role of “codifying engineering knowledge” in vehicle design?

Codifying engineering knowledge involves structuring and storing existing⁣ knowledge to generate complete vehicle designs efficiently. This shift allows the entire vehicle system to be parameterized and virtually⁣ mapped, optimizing and accelerating the development process.

How does‍ the‍ AVL DevOps Pilot contribute to this transformation?

The AVL DevOps Pilot aims to ⁤establish new benchmarks in ⁤virtual vehicle development. It specifically automates system test pipelines ⁢using Microsoft ⁣Azure Cloud and Azure OpenAI, which speeds up software development for software-defined vehicles.

What SaaS solutions have been developed as part of ⁣this partnership?

Initial‍ Software as a Service (SaaS) solutions are already available on the Azure ‍Marketplace. ‍One key development is ⁣the AVL DevOps Pilot, which ⁤focuses on virtual vehicle development.

What‍ are the⁤ key benefits cited by AVL and Microsoft?

The main benefits include:

  • Accelerated vehicle development.
  • Reduced reliance on hardware prototypes.
  • Optimization of resource consumption.
  • Faster market launch of innovative mobility solutions.
  • New standards for sustainable, safe, and future-oriented vehicle ⁢development.

How does the partnership contribute to⁢ sustainable vehicle development?

The partnership aims to set new standards for sustainable vehicle development by‍ enabling simulation-driven methods that optimize resource consumption throughout the design and development processes.

What is the role of ⁢Microsoft Azure Cloud in this partnership?

Microsoft Azure Cloud provides the infrastructure for several key aspects:

  • Hosting SaaS solutions.
  • Supporting the ‍AVL devops Pilot by ⁢automating‍ test pipelines.
  • providing a⁤ data analytics solution for efficient data⁣ management and traceability.

What are the future prospects of this partnership?

Both AVL and microsoft are⁢ committed to deepening their cooperation in the coming years to realize further⁢ successes in vehicle development. the focus is on continuing to set ‍new standards‍ for sustainable,safe,and future-oriented vehicle development.

Can you summarize ⁢the key technologies and their applications in a table?

certainly! Here is a summary of the key technologies and their applications:

Technology Request
Cloud-based Software Foundation for development, deployment, and⁤ management of vehicle software.
AI-driven Agents Assisting ⁢in various⁢ stages of ‍the vehicle development lifecycle.
Azure OpenAI Used in the AVL ⁣DevOps Pilot to⁣ automate system test pipelines.
Data Analytics (Azure Cloud) Enables efficient data ⁤management and traceability⁤ from virtual testing to ⁣real-world use.
SaaS⁤ Solutions (Azure Marketplace) Facilitates rapid development and deployment of‍ innovative vehicle solutions.

What do ‍the executives say about the partnership?

Jens Poggenburg,⁤ executive vice president at AVL, highlighted the ‍”combination of profound engineering know-how from ‍AVL‍ and Microsoft’s cloud and⁤ AI technology” enabling “entirely new approaches‍ in vehicle development.” Verena Kreuzer, partnership manager at AVL, expressed ⁣excitement about setting ⁢new standards and deepening the cooperation.

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