A Comprehensive Study on the Applications of Artificial Intelligence in Business, Engineering, and Cancer Detection

Md Zubayer Islam^1*, Hasnat Karim², Md. Fatin²

This study demonstrated AI’s transformative impact across business, engineering, and healthcare, emphasizing ethical integration for sustainable innovation.

Abstract

The world is experiencing intelligent automation, and better decision-making as a result of enabling operational efficiency, which is subsequently transforming various sectors. This critical review dives deep into the glaring applications of artificial intelligence across business, engineering and insightful cancer detection. In the business world, we have AI technologies transforming operations through automation of customer service, targeted and prescriptive marketing, and logistics optimization. Virtual Assistants and Chat Bots powered by AI can perform almost 80% of the repetitive and mundane tasks. This leads to skyrocketing Customer Satisfaction Improvements (CSI) surpassing 80% and operational efficiency improvements of 30% to 50%. Machine learning is also assisting in boosting conversion rates with personalized marketing strategies and prediction analytics. With the advancement of smart manufacturing, predictive maintenance and design, AI is further advancing engineering. These applications aid in reducing equipment failure rates up to 40% and productivity improvements above 30%.AI systems enable real-time monitoring and inspection anomalies, particularly in manufacturing, aerospace, and civil infrastructure. In healthcare, especially in oncology, AI offers the most benefit in the early detection and diagnosis of cancer. Convolutional neural networks (CNNs) have achieved between 90% and 95% accuracy in diagnostics which results in improved outcomes due to timely interventions and personalized treatment through advanced planning. This review highlights the updated advancements available through data and analyzes the impact of AI implementation within these areas, focusing on answering how AI frameworks can be developed to properly aide social needs to ensure better economic opportunities through sustainable growth.

Keywords: Artificial Intelligence, AI in Business, Predictive Maintenance, Cancer Detection, Smart Manufacturing.

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