D2TP1

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Grand Canyon University *

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436

Subject

Industrial Engineering

Date

Dec 6, 2023

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docx

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1

Uploaded by DrTeam9010

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Considering the placement of artificial intelligence (AI) on the hype cycle, discuss an industry that could be disrupted by AI and explain the cause of that disruption. Provide a specific example to illustrate your ideas. One industry that comes to mind is the transportation and logistics industry. AI has the potential to revolutionize this industry by optimizing routes, improving efficiency, and reducing costs. One specific example of disruption caused by AI in transportation is the use of autonomous vehicles. Self-driving cars and trucks have the potential to transform the way goods are transported. With AI-powered navigation systems, these vehicles can analyze traffic patterns, weather conditions, and real-time data to choose the most efficient routes. This can lead to reduced delivery times, lower fuel consumption, and fewer accidents. Additionally, AI can also disrupt the logistics industry by automating warehouse operations. AI-powered robots can efficiently sort, organize, and retrieve inventory, reducing human error and increasing productivity. This automation can significantly streamline the supply chain process and improve overall efficiency. The disruption caused by AI in the transportation and logistics industry has the potential to create new job opportunities, such as AI technicians and data analysts, while also transforming existing roles within the industry. However, it's important to note that the widespread adoption of AI in transportation will require careful consideration of safety regulations, infrastructure updates, and public acceptance. Overall, AI has the potential to disrupt the transportation and logistics industry by improving efficiency, reducing costs, and transforming the way goods are transported and managed. It's an exciting prospect that could have a significant impact on our daily lives. Reference: Iyer, L. S. (2021, July 17). AI enabled applications towards Intelligent Transportation . Transportation Engineering. https://www.sciencedirect.com/science/article/pii/S2666691X21000397
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