write a critical review for how your chosen AI technique could be used in your chosen industry.

INFS 4020 – Big Data Concepts
Assignment 1 – Technology Review
[Your Name]
[Date]
Introduction    3
Overview of Automotive Industry    3
Overview of Computer Vision    4
Limitations and Issues to Using Computer Vision    5
References    6
Introduction
Artificial intelligence has emerged as a transformative force with profound implications for virtually every aspect of our lives, including industries, healthcare, education, and daily routines. Here are either Simulation of the human intelligence in machines encompasses a broad spectrum of technologies and applications that have the potential to reshape the way we live and work. In this discussion, we will explore the prospects of AI delving into its current state, promising applications, and challenges, along with the ethical considerations. For this discussion, the chosen industry is the automotive industry and the aspect of the AI technique will be used with respect to the context of the automotive industry.
Industry is undergoing A profound transformation driven by the advancements in artificial intelligence and automation. One of the most significant AI techniques revolutionizing the automotive sector is the computer vision. The innovative technology has opened a new era of safety, efficiency, and convenience in the world of vehicles.
The computer vision is soft field of AI empowers machines to interpret and comprehend visual information from the real world. In the context of the automotive industry, this means endowing vehicles with the ability to see and understand their surroundings, much like human drivers do. By harnessing the power of camera sensors and sophisticated algorithms, computer vision has become the driving force behind several pivotal automotive innovations. The primary goal of the computer vision in the automotive sector is to enhance the safety and convenience, ultimately paving way for the fully autonomous vehicles. This technology has found its application in a myriad of critical areas within the industry, shaping the future of the transportation. At the forefront of the computer vision applications in the automotive industry is the development of the self-driving or autonomous vehicles. These vehicles rely on the network of cameras, LiDAR radar and other sensors that capture real time data about their environment. Computer vision. And the aspects of the algorithms process these data, enabling the vehicle to make split second decisions about navigations, obstacle avoidance and traffic management.
Overview of Automotive Industry
The automotive industry is a multi-faceted and dynamic as sector that plays a pivotal role in the economies of worldwide. It encompasses the design, production, marketing, maintenance of the motor vehicles, including cars, trucks, motorcycles, and various other types of vehicles. This industry has a profound impact on the global transportation, innovation, employment, and consumer lifestyle. The automotive industry has a rich history dating back to the 19th century. Karl Benz is often credited with inventing the first practical gasoline powered car in 1885-86. However, the decades, the industry has significant technological advancements and globalization. The automotive industry is populated by a multitude of companies, ranging from massive multinational corporations to nature manufacturers and these startups (Zhou et al., 2020). Some of the major global players include Toyota, Volkswagen Group of General Motors, Ford, Honda, BMW, Daimler, Mercedes-Benz, and Hyundai Kia. The industry produces a wide array of vehicles, including passenger cars that are designed for personal transportations, commercial vehicles that includes trucks and buses for transporting goods and passengers, 2 Wheelers that includes motorcycles and scooters while specialty vehicles such as electric cars, luxury vehicles, sports cars, and off-road vehicles (Nagy & Lăzăroiu, 2022). 
Manufacturing involves a complex process of assembling various components into a...