How Predictive Analytics is Driving the Future of the Connected Car Industry
The availability of a massive amount of data and exceptional mobile computing power has transformed the connected car technology. The traditional focus on vehicle management and infotainment systems has shifted towards developing the car’s ability to connect with the outside world. Multiple streams of communication such as IoT sensors, infotainment systems, and telematics systems in […]READ MORE >>
The availability of a massive amount of data and exceptional mobile computing power has transformed the connected car technology. The traditional focus on vehicle management and infotainment systems has shifted towards developing the car’s ability to connect with the outside world. Multiple streams of communication such as IoT sensors, infotainment systems, and telematics systems in the connected car generate a colossal amount of data. Such datasets pave the way for the efficient use of predictive analytics tools to improve technologies associated with connected cars.
Ensure Passenger Safety
The AI system in a car has advanced to such a level that it can identify road signs, nearby cars, and road conditions to prevent a collision. The AI’s ability for collision prevention is augmented by employing predictive analytics in a connected car system. This can be possible by sharing vital information with nearby cars to warn each other when making abrupt maneuvers. Manufacturers are devising new ways to enhance collision avoidance systems by utilizing predictive analytics tools that utilize driver behavior data as an input.
The connected car system records and analyzes large data sets gathered from actuators, sensors, and machines. Such data sets can be useful in predicting requirement of full servicing, parts replacement, or other repair works. Apart from this, the data generated from connected cars can be shared with the manufacturer so that they can arrange logistics to deliver the spare parts to the required location by predicting its need.
Reinforcing Cyber Security
The idea of being able to control cars remotely may seem likely to invite security breach for malicious purpose and even terrorism. Predictive analytics is a powerful tool for identifying such cyber threats in its early stages. It utilizes user data, analyzes driver behavior to recognize patterns, and identifies behavior patterns that are inconsistent or different than the authorized user to stop unauthorized access.
Today, managers have access to a large stream of data, and decision-making on the basis of gut-feeling, the rule of thumb, and guessworks are largely eliminated with the advent of data analytics.
“Without big data analytics, companies are blind and deaf, wandering out onto the web like a deer on a freeway,” said a leading data analytics expert from Quantzig.
For more than 14 years, we have assisted our clients across the globe with end-to-end data management and analytics services to leverage their data for prudent decision making. Our firm has worked with 120+ clients, including 55+ Fortune 500 companies. At Quantzig, we firmly believe that the capabilities to harness maximum insights from the influx of continuous information around us is what will drive any organization’s competitive readiness and success. Our objective is to bring together the best combination of analysts and consultants to complement our clients with a shared need to discover and build those capabilities, and drive continuous business excellence.
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