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What is Journeyware?

The forthcoming connected car experience revolves around thin client applications and cloud-based frameworks that facilitate consumer commerce, in-car multimedia experiences, mobile applications, and enterprise services. With the Xevo Journeyware platform, a range of multimedia applications and AI-enhanced contextual recommendations can be utilized for efficient content delivery. This versatile platform is compatible across cloud infrastructures, vehicles, and mobile devices, and it opens new avenues for revenue generation for automotive manufacturers. The Journeyware platform’s components are integrated into over 25 million vehicles globally, showcasing its widespread adoption. Utilizing Journeyware's advanced automotive AI technology, the Xevo Context recommendation engine creates a dynamic and hyper-contextual experience for users. This system delivers highly relevant suggestions and offers tailored to drivers’ preferences, their historical behaviors, vehicle locations, current routes, and additional factors, ensuring a personalized driving experience. Ultimately, the integration of these technologies will significantly enhance how consumers interact with their vehicles and the services they provide.

What is IBM IoT Connected Vehicle Insights?

IBM's IoT Connected Vehicle Insights represents a cutting-edge software solution designed for connected vehicles, seamlessly integrating real-time data regarding drivers, vehicles, and their environments to improve the in-car experience. This cloud-based service collects information from various vehicle sensors and utilizes advanced analytics alongside artificial intelligence to uncover valuable insights into driver behavior. By connecting with external cloud resources, such as real-time weather and traffic conditions, it enhances the contextual understanding and situational awareness necessary for optimal vehicle operation. The platform facilitates immediate interactions between drivers, their vehicles, and the surrounding environment, ultimately refining the overall driving experience. With access to this extensive pool of data, connected vehicles can more effectively detect potential safety risks or quality issues and respond without delay. For example, the collision avoidance systems can leverage live updates on weather and traffic to function with greater precision. Furthermore, this specialized SaaS platform provides advanced navigation features, allowing it to anticipate destinations based on the unique driving patterns of each user, thus ensuring a tailored and fluid journey. Consequently, drivers can look forward to not only a safer but also a significantly more enjoyable travel experience, as every aspect of their journey is optimized.

Media

Media

Integrations Supported

IBM Cloud

Integrations Supported

IBM Cloud

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Xevo by Lear

Date Founded

1917

Company Location

United States

Company Website

www.xevo.com/journeyware/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/iot-for-automotive

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Categories and Features

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