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Automotive industry technology solutions

Innovate and achieve shorter time-to-market with AI and hybrid cloud technologies

Rise to lead the software-defined vehicle revolution

Today, the automotive industry must delight customers who expect a vehicle experience no different than that of smart devices. Consumers seek a vehicle that can be fully integrated into their busy, digital lives, is autonomous, manages its operations, adds functionality and enables new features primarily or entirely through software. As the automotive paradigm shifts towards a software-centric one, leading to the surge of the software-defined vehicle, automakers must rapidly innovate in some key areas, including:

  • Anticipating customer needs and re-imagining experiences 
  • Accelerating software development, testing and deploying to stay ahead of  competitors
  • Boosting engineer productivity to enhance products and achieve shorter time-to-market
  • Managing vehicle data growing at orders of magnitude, and unlocking its innovation potential 
  • Embedding cybersecurity throughout the product lifecycle to enhance brand value

Partnering with IBM helps automakers modernize, optimize and innovate at a faster pace. Applying governed AI for insights and automation of thoughtful actions, combined with a hybrid cloud strategy and embedding Zero Trust technologies, allows for updates and upgrades, autonomy and constant evolution of the vehicle.

Streamline innovation by coupling AI with open source technology

Enhance product and brand value through cybersecurity

Discover the watsonx AI and data platform

Use cases

See examples of next-generation AI applications for the auto industry

Application modernization Quickly deploy generative AI at scale for fast, smart, software-defined vehicles AI Coding Assistants for Application Modernization and IT Automation

Talent transformation Streamline workflows and time-consuming tasks to unlock greater productivity across functions Put AI to work for HR in automotive companies ROI Estimator for HR in automotive manufacturing

Solutions

Condense "code to road" timelines

Accelerate software development and get new features from “code to road” as fast as possible to succeed in the software-defined vehicle market

Achieve unprecedented flexibility

Develop and test software solutions and AI models in the backend, then easily deploy them into the vehicle by pairing AI with open source technology

Create smarter user experiences

Understand your customers and their needs, and accelerate the development of connected, personalized experiences, while meeting AI transparency requirements

Boost engineering work and turn complexity into competitive advantage

Increase engineers’ productivity and speed, allowing shorter time to market and higher quality with intelligent solutions and trusted AI

Elevate autonomous driving development

Efficiently manage huge amounts of vehicle data by implementing a hybrid, engineering data management solution

Enhance product and brand value with cybersecurity

Embed end-to-end security throughout the product lifecycle and across the connected, autonomous, shared and electric ecosystem

Case studies Explore client success stories of automotive IT solutions Honda

Slashing documentation modeling time by 67%

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General Motors

Better equipping automakers to adopt rapid, open source innovation

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Audi

Optimizing user journey and creating the best customer experience

Read the case study
Nobo Auto

Accelerating product R&D innovation and aligning to international automotive development standards

Read the case study
Continental

Accelerating insights into vehicle safety

Read the case study
Mitsubishi Motors

Producing an enhanced employee portal experience with watsonx.ai

Read the case study
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