Manufacturing robots are not new to anyone these days, however, AI applications in automotive manufacturing are not yet widespread.
The adoption of AI hardware will prove a rapid explosion to enable self-driving technology and upgrade AI algorithms with dedicated AI-enabled GPUs.
Artificial Intelligence and machine learning create great opportunities to read and analyze data from a variety of sources.
The performance of AI in private vehicles is not limited to strict requirements, such as safety. AI can be used for more control and entertainment inside the car.
It involves Network Planning and Design, Network Tuning, Network Audit and BenchMarking, improves customer loyalty, End-user performance optimisation, Network Planning, and investment
It involves AI-driven Predictive Analytics, Telco Data Analytics, Interactive Voice Response Systems, Data Center Management, Predictive Equipment Analytics.
Before we adapt to fully-autonomous cars, it makes sense to evaluate the capabilities of AI by incorporating driver-assist features. AI uses several sensors for blind-spot monitoring, collision detection, pedestrian detection, lane monitoring, etc.
Edge analytics provides fast and decentralized insights from data sets collected from sensors on machines. Manufacturers collect and analyze data on edge to reduce time to insight.
Quality assurance is the maintenance of a desired level of quality in a service or product. Assembly lines are data-driven, interconnected and autonomous networks. These assembly lines work based on a set of parameters and algorithms that provide guidelines to produce the best possible end-products
AI powered software can help organizations optimize processes to achieve sustainable production levels. Manufacturers can prefer AI-powered process mining tools to identify and eliminate bottlenecks in the organization’s processes.
The insurance sector deals with managing data from several fields, and AI offers immense potential for improvement. For example, an in-car camera can record accidents that might be helpful during legal or insurance settlements.
Apart from elevating the driving experience, AI can transform the way we build cars as well. For over five decades, machines have helped in the assembly lines of the vehicle manufacturers.
BMW clearly believes the cars of tomorrow will drive themselves, instead of relying on humans being at the wheel. It’s not alone in this belief – all the major car producers are investing in driverless technology, but BMW is more confident than most.
While it has been established that one of the most significant features of MBUX is the natural voice-activated virtual assistant, there is room for further development and improvement.
The core of the systems which Audi is developing for piloted driving is the central driver assistance system control unit (zFAS). The mastermind makes its debut in the new Audi A8.