Comprehensive Overview of Artificial Intelligence Applications in Modern Industries
Weng, Yijie, Wu, Jianhao, Kelly, Tara, Johnson, William
–arXiv.org Artificial Intelligence
Defined as the capability of a machine to mimic intelligent human behavior, AI encompasses a broad range of technologies, including machine learning, natural language processing, computer vision, and robotics. Its applications are far-reaching, impacting diverse fields such as healthcare, finance, manufacturing, retail, education, and more. The proliferation of data, advancements in computational power, and the development of sophisticated algorithms have accelerated the adoption of AI across industries. Businesses are leveraging AI not only to automate repetitive tasks but also to gain insights from data, improve customer experiences, and innovate in product and service offerings. In this paper, we provide an in-depth analysis of AI applications in four key industries: healthcare, finance, manufacturing, and retail. For each sector, we will examine the types of AI technologies being used, the problems they aim to solve, the benefits they bring, and the challenges associated with their deployment. We will also explore future trends and the broader implications of AI adoption.
arXiv.org Artificial Intelligence
Sep-19-2024
- Country:
- North America > United States
- District of Columbia > Washington (0.04)
- New York (0.04)
- North America > United States
- Genre:
- Overview (0.50)
- Research Report (0.83)
- Industry:
- Banking & Finance
- Health & Medicine
- Diagnostic Medicine > Imaging (0.94)
- Health Care Technology (0.68)
- Pharmaceuticals & Biotechnology (1.00)
- Therapeutic Area > Oncology (0.68)
- Information Technology > Security & Privacy (1.00)
- Law Enforcement & Public Safety > Fraud (0.69)
- Technology:
- Information Technology
- Artificial Intelligence
- Applied AI (1.00)
- Machine Learning > Neural Networks
- Deep Learning (0.71)
- Natural Language (1.00)
- Representation & Reasoning > Personal Assistant Systems (1.00)
- Robots (1.00)
- Data Science > Data Mining (1.00)
- Artificial Intelligence
- Information Technology