BlackBerry and Jaguar Land Rover announced that they have deepened their partnership in developing the automotive manufacturer’s next-generation vehicles. Jaguar Land Rover AI

The collaboration between the companies has expanded to include:

• BlackBerry Artificial Intelligence and Machine Learning technologies for Automotive.  Leveraging BlackBerry QNX and BlackBerry Cylance, the companies are working on transforming vehicle safety across a range of capabilities, including predictive software maintenance and cybersecurity threat protection.
• BlackBerry QNX for Jaguar Land Rover’s next-generation vehicle architecture.  Integrating BlackBerry software establishes the overall safety of Jaguar Land Rover’s next-generation vehicle architecture, for the best-in-class product its customers expect.
• BlackBerry Cybersecurity Consulting.  Consisting of BlackBerry consultants and security testing technology, BlackBerry Cybersecurity Consulting services identify security vulnerabilities in connected and autonomous vehicles, across the full software library used in a vehicle.

“Jaguar Land Rover and BlackBerry share a common objective in bringing the most intelligent vehicles to reality,” said Prof Sir Ralf D Speth KBE FREng, Jaguar Land Rover CEO. “I am delighted that our partnership with BlackBerry continues to go from strength to strength, a company whose technology innovations uniquely address the expanding safety needs of the automotive industry.”

“BlackBerry is a trusted partner of the automotive industry because of our heritage and innovations in secure communications,” said John Chen, Executive Chairman & CEO, BlackBerry. “We are pleased to be Jaguar Land Rover’s chosen partner for safety-certified technology, as we advance Artificial Intelligence and Machine Learning technologies to transform automotive safety.” Jaguar Land Rover AI

Automotive AI can be used to improve safety, performance, efficiency, and user experience in a variety of ways.

Here are some examples: Jaguar Land Rover AI

1. Advanced Driver Assistance Systems (ADAS): AI-powered systems that can help drivers avoid collisions, maintain safe following distances, and stay in their lanes. ADAS can include features such as adaptive cruise control, lane departure warning, and automatic emergency braking.
2. Predictive maintenance: AI can be used to monitor vehicle sensors and predict when maintenance is needed before a breakdown occurs. This can help prevent costly repairs and minimize downtime.
3. Autonomous driving: AI is a key technology for autonomous driving, allowing vehicles to make decisions and navigate complex environments without human input. Companies such as Waymo, Tesla, and Cruise are using AI to develop autonomous driving systems.
4. User experience: AI can be used to personalize the driving experience, adjusting settings such as climate control, seat position, and music preferences based on the driver’s preferences and habits.
5. Supply chain management: AI can be used to optimize the supply chain for automotive manufacturing, helping to reduce costs and improve efficiency.

As automotive AI technologies continue to advance, we can expect to see new and innovative ways in which AI is used to improve the safety, performance, and user experience of vehicles.