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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 HPE Edgeline?

HPE Edgeline Converged Edge systems integrate operational technology (OT) with enterprise-grade IT, creating a powerful platform that delivers data center-level computing capabilities directly at the Edge. This Edge can be situated in various environments, from manufacturing sites and offshore oil rigs to neighborhood coffee shops. By embracing a distributed approach to converged edge computing, organizations leveraging HPE Edgeline can significantly improve their capacity for real-time local decision-making, allowing for swift responses and promoting autonomous operations, even in scenarios where connectivity is limited or absent. In addition, the systems maintain high standards of security and compliance throughout their architecture. HPE Edgeline systems effectively merge crucial open standards-based OT data collection and control functions with the enterprise IT infrastructure that drives analytics, facilitating a fast, easy, and secure integration of essential OT hardware and software elements. This seamless integration not only optimizes workflows but also boosts overall productivity across a wide range of sectors, ultimately contributing to a more agile and responsive operational environment. Moreover, the adaptability of these systems ensures that businesses can scale their edge computing solutions according to their evolving needs.

Media

Media

Integrations Supported

StorMagic SvSAN

Integrations Supported

StorMagic SvSAN

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

Hewlett Packard Enterprise

Company Location

United States

Company Website

www.hpe.com/us/en/servers/edgeline-systems.html

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

IoT

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

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