Use Case Intelligence RSS Search use cases Search
AWS Automotive United States

Toyota Connected

Risk Management

Using AWS not only helps developers solve data challenges creatively, but it gives them access to managed services like Amazon Bedrock, which they’re using to bring new driver experiences to life with generative artificial intelligence.

Read the original story Explore all use cases

Reported impact

Business outcome

Namely, faster call center action and increased safety for customers.

  • Customer Experience
  • Risk Reduction
  • Scalability

Solution

Data and safety go hand in hand at leading automotive manufacturer Toyota. As Brian Kursar, senior vice president and chief technology officer at Toyota Connected North America, says, having access to the right data at the right time is vital. Toyota Connected is Toyota’s data services division, leading the development of the company’s cloud-based mobility services platform. It uses Amazon Web Services (AWS) to process petabytes of data from hundreds of sensors in millions of vehicles to help it respond to drivers in emergency situations. In this video, Kursar—who’s also Toyota Motor North America’s group vice president, chief technology and data officer—along with senior DevOps engineer Ashley Parks, talk about the mission-critical value of real-time data.

Data flow

Data and safety go hand in hand at leading automotive manufacturer Toyota. As Brian Kursar, senior vice president and chief technology officer at Toyota Connected North America, says, having access to the right data at the right time is vital.

Solution architecture

1 components · 1 layer
  1. Serving
    • Amazon Bedrock Provides foundation-model access for generative AI features and assistants.

Architecture clues

  • In this video, Kursar—who’s also Toyota Motor North America’s group vice president, chief technology and data officer—along with senior DevOps engineer Ashley Parks, talk about the mission-critical value of real-time data.

Evidence from the source

As Brian Kursar, senior vice president and chief technology officer at Toyota Connected North America, says, having access to the right data at the right time is vital.
Data and safety go hand in hand at leading automotive manufacturer Toyota.
In this video, Kursar—who’s also Toyota Motor North America’s group vice president, chief technology and data officer—along with senior DevOps engineer Ashley Parks, talk about the mission-critical value of real-time data.
It uses Amazon Web Services (AWS) to process petabytes of data from hundreds of sensors in millions of vehicles to help it respond to drivers in emergency situations.
Toyota Connected is Toyota’s data services division, leading the development of the company’s cloud-based mobility services platform.
Transparency Evidence & methodology 61/100 reference value · 83% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value61/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity16/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence83%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance8/10
    The publication date comes from publisher-controlled metadata.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity6/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. AWS

    Toyota Connected customer story

    First-party
    https://aws.amazon.com/solutions/case-studies/toyota-safety-connect/
    Source type
    Vendor-published customer story
    Published
    Feb 12, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

Related

Similar use cases

See all like this
AWS Jul 23, 2026 BBVA Financial Services global As BBVA expanded the number and diversity of AI and ML solutions across the bank, it needed a more flexible, scalable, and automated MLOps architecture that improved code reuse, reproducibility, version control, and… 20% to 75% reduction in development times IT Operations AutomationRisk Management ADA · AWS Lambda · Amazon EventBridge AWS Nov 20, 2025 Syngenta Agriculture Basel, Switzerland Syngenta needed to handle supplier invoice tax processing in Argentina despite multiple provincial taxes, exemptions, and dual SAP systems, where manual entry slowed operations, introduced errors, and increased… More than 90% accuracy in tax bookings Document ProcessingRisk Management AWS-native services · GenAI Invoice Data Lake · GenAI capabilities In-house Nov 18, 2025 Renault Group Automotive global Renault Group needed to improve the reliability and effectiveness of increasingly complex driving aids and in-cabin assistance features as vehicles added more sensors, ECUs, and safety functions that must keep working… 29 driving aids Risk Management Adaptive Cruise Control (ACC) · Intelligent Speed Assistance (ISA) · Lane Assist