IVY addresses data access, collection, and management problem in the automotive industry.
Amazon Web Services and BlackBerry Limited will work together to develop and market BlackBerry’s Intelligent Vehicle Data Platform, IVY. BlackBerry IVY is a scalable, cloud-connected software platform that will allow automakers to provide a consistent and secure way to read vehicle sensor data, normalise it, and create actionable insights from that data both locally in the vehicle and in the cloud.
Automakers can use this information to create responsive in-vehicle services that enhance driver and passenger experiences.
BlackBerry IVY addresses data access, collection, and management problem in the automotive industry. Modern cars and trucks are built with thousands of parts from many different suppliers, with each vehicle model comprising a unique set of proprietary hardware and software components.
These components, which include an increasing variety of vehicle sensors, produce data in unique and specialised formats. The highly specific skills required to interact with this data, as well as the challenges of accessing it from within contained vehicle subsystems, limit developers’ abilities to innovate quickly and bring new solutions to market.
BlackBerry IVY will apply machine learning to that data to generate predictive insights and inferences, making it possible for automakers to offer in-vehicle experiences that are highly personalised and able to take action based on those insights.
It will support multiple vehicle operating systems and multi-cloud deployments in order to ensure compatibility across vehicle models and brands. IVY builds on BlackBerry QNX’s capabilities for surfacing and normalising data from automobiles and AWS’s broad portfolio of services, including capabilities for IoT and machine learning.
BlackBerry IVY will run inside a vehicle’s embedded systems, but will be managed and configured remotely from the cloud. As a result, automakers will gain greater visibility into vehicle data, control over who can access it, and edge computing capabilities to optimise how quickly and efficiently the data is processed.
IVY will be able to leverage vehicle data to recognise driver behavior and hazardous conditions such as icy roads or heavy traffic and then recommend that a driver enable relevant vehicle safety features such as traction control, lane-keeping assist, or adaptive cruise control. IVY could then provide automakers with feedback on how and when those safety features are used, allowing them to make targeted investments to improve vehicle performance.
Drivers of electric vehicles could choose to share their car’s battery information with third-party charging networks to proactively reserve a charging connector and tailor charging time according to the driver’s current location and travel plans.
BlackBerry IVY will also help collaboration with a wider pool of developers to accelerate creation of new offerings that deliver improved vehicle performance, reduced costs for maintenance and repairs, and added convenience.
For instance, by analysing real-time performance data, automakers could recognise the first signs of potentially faulty parts, deploy code to identify affected vehicles, notify impacted drivers, and perform targeted recalls. Automakers will be able to remotely deploy and update the software from the platform’s Cloud Console (a web interface for managing BlackBerry IVY) to continuously improve the functionality of the system.