Collaborating Authors

AI & Automotive -- 8 Disruptive Use-Cases


A driverless car running on roads may sound like a screen taken from a sci-fi movie. However, fiction is turning into reality, and we thank Artificial Intelligence (AI) for the same. AI technology complements the very concept of self-driving cars. Elon Musk had predicted in 2017 that all the cars will be autonomous in 10 years without any steering wheel. We are quite close to bringing this prediction into reality in just a short time frame of 4 years.

AI is watering the roots of the Automotive Manufacturing Industries


Artificial intelligence and HPC system have the potential to transform the automotive industries by researching and redesigning the process. FREMONT, CA: Artificial intelligence (AI) holds the key to a new future of value for the automotive industry. According to a report, the amount of Artificial Intelligence in automotive manufacturing and cloud services will exceed $10.73 billion by 2024. The advanced capabilities of AI, coupled with increasing consumer expectations, have pushed the automotive industry into a period of digital transformation. These manufacturing techniques increase the use of computer vision for defect detection.

The Place of Machine Learning and Artificial Intelligence in the Automotive Industry


When it comes to vehicles, dials and switches are used to control everything. As the automotive industry evolves, so do its norms. Today, we are rapidly moving towards a world of shared and self-driving cars. Automotive manufacturers implement a range of human-machine interface technologies (HMIs), including voice controls, interior-facing cameras, touch-sensitive surfaces, and smarter, personalized platforms. Voice control is among the most preferred interfaces with the most significant percentage of HMIs since it allows hands-free control and, therefore, less distraction from the road. Other examples include multifunctional controllers, touchscreens, and head-up displays. Autonomous driving has been the central concern of the automotive industry for quite some time. This revolutionary concept wouldn't be possible without the help of Artificial Intelligence.

How Cloud, Big Data and AI Are Driving the Auto Industry Toward Personalization


In order for OEMs to stay competitive, it is becoming necessary to build new business models that leverage the continually evolving "platform economy." Current examples of this include Uber, AirBnB and Spotify, which have embraced internet technologies to re-envision long-established service models into bold, convenient personalized platforms. As consumers get more comfortable with services delivered via web-enabled platforms, manufacturers are now looking to adapt and even perhaps introduce new platforms inside their products across various consumer engagement dimensions. Such changes are already impacting how consumers shop for cars, select financing, and, with the advent of alternative eco-friendly motors, refuel them. As this trend continues, it has the potential to open a new world of competition driven by innovations designed to enhance the digital consumer experience as much as the driving one.

5 Ways Artificial Intelligence is Transforming the Automotive Industry


For an industry that's as highly technological as the automotive industry, the adoption of artificial intelligence (AI) and its subsets is surprisingly slow. A recent report found that roughly 10% of the companies surveyed are using AI-based initiatives at scale. The surprise doesn't just come from the fact that automakers are accustomed to embracing new tech to improve productivity – it stems from the huge potential AI has for auto companies. It's true that the same report says that more than 80% of auto businesses are considering AI as the technology that will be at the core of their processes. But why that doesn't translate into a deeper integration of AI-powered solutions in the industry?