McKinsey & Company reports that the connected cars of today generate anywhere from 1 to 2 TB of raw data per car each day, by the many sensors embedded within the vehicle, to enable continuous product and service improvements.
This data, when unlocked, can be a powerful source of information whose interpretation provides scope for layers of improvements, as well as for understanding user needs and expectations. Technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) make this analysis possible, transforming every facet throughout the automotive lifecycle.
What are IoT-enabled vehicles?
Automotive IoT refers to connected technologies within automotive systems that make vehicles smarter and more intelligent. The technology relies on Artificial Intelligence to create new applications and innovative solutions that typically require human intelligence. IoT-enabled connected vehicles offer a wide range of services across industries, such as real-time location monitoring, route management, vehicle to vehicle and vehicle to infrastructure communication, smart maintenance and enhanced in-vehicle entertainment.
Why is AI important to connected mobility?
Artificial Intelligence and data analytics are used by organizations to identify, predict, and solve mobility challenges. AI makes possible a myriad of application-based cloud services in the automotive domain, which forms the base of connected car technology. While connected vehicles collect and curate enormous amounts of data to bring a wide range of benefits to drivers and road users in general, AI integration boosts its power and performance.
An AI-driven software becomes the ultimate tool to enable the vehicle to see, hear, think and make decisions just like humans, and provide informative insights to the businesses involved in the auto industry. With the help of AI and IoT, the automotive ecosystem can come together to provide more efficient and greener transportation options, paving the way for autonomous vehicles and advanced technologies.
How is AI reshaping the Automotive Industry?
With the long list of benefits of IoT-based connected cars, there comes a boost in the demand for decoding the collected data that powers a range of industrial applications. With experts estimating new business models in the expanded connected mobility space, adding up to $1.5 trillion to the automotive revenue pools, auto business across categories stand to gain big from the AI shift.
Be it ensuring efficient fleet management operations through weight measurement, location tracking and driver behavior analysis, or understanding mobility trends to create a sustainable foundation for smart cities, offering valuable product insights to OEMs and aftermarket dealers or leveraging historical data to assist usage-based insurance firms and media companies for better placement of their ads, advantages of AI-based automotive technologies are omnipresent. With AI being the backbone of autonomous driving, it makes sense for the auto businesses of today to start implementing the technologies of the future.
How CerebrumX employs AI to serve the Automotive Ecosystem?
CerebrumX brings the power of Artificial Intelligence and IoT to industry’s first Augmented Deep Learning Platform (ADLP) to generate deep insights from complex connected car data. Automotive businesses benefit from the easy interpretation of this valuable data to drive better business solutions, offering users with enhanced safety, comfort and cost-effective driving experiences.
CerebrumX also takes complete care of user privacy, security and transparency through CerebrumX Secure Consent, a white label system that manages user consent.
The transportation industry is constantly evolving, and with it the technologies that knit this transformation into a reality. Modern technologies such as AI and IoT form the crux on which connected mobility intelligence is based, delivering a range of benefits for efficient operations.