Risk Assessment of Operator’s Big Data Internet of Things Credit Financial Management Based on Machine Learning

Bi, Wentai; Liang, Yuan

doi:10.1155/2022/5346995

“…The intersection between AI and IoT has garnered significant academic interest, resulting in several transformative applications across multiple industries. The integration's potential to revolutionize various sectors has been emphasized, such as the healthcare sector [20], credit risk evaluation innovation [67], and the automation strategy in smart cities [68]. This integration provides an enhanced customer experience and more informed business decisions through intelligent data analysis [20,69].…”

Section: Discussionmentioning

confidence: 99%

Future of AI-Driven IoT: Identifying Emerging Trends in Intelligent Data Analysis and Privacy Protection

Marengo

2024

Preprint

0

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The integration of Artificial Intelligence (AI) with the Internet of Things (IoT) has propelled technological innovation across various industries. This systematic literature review explores the current state and future trajectories of AI in IoT, with a particular focus on emerging trends in intelligent data analysis and privacy protection. The proliferation of IoT devices, marked by voluminous data generation, has reshaped data processing methods, providing actionable insights for informed decision-making. While previous reviews have offered valuable insights, they often fall short of comprehensively addressing the multifaceted dimensions within the AI-driven IoT landscape. This review aims to bridge this gap by systematically examining existing literature and acknowledging the limitations of past studies. To achieve this aim, the study uses a meticulous approach guided by established methodologies. The chosen methodology ensures the rigor and validity of the review, aligning with PRISMA guidelines for systematic reviews. This systematic literature review serves as a comprehensive guide for researchers, practitioners, and policymakers, offering insights into the current landscape and paving the way for future research directions. The identified trends and challenges provide a valuable resource for navigating the evolving domain of AI in IoT, fostering a balanced, secure, and sustainable advancement in this dynamic field.

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“…The intersection between Artificial Intelligence (AI) and the Internet of Things (IoT) has garnered significant academic interest, resulting in several transformative applications across multiple industries. The integrationʹs potential to revolutionize various sectors has been emphasized, such as the healthcare sector [58], credit risk evaluation innovation [10], and the automation strategy in smart cities [16]. This integration provides an enhanced customer experience and more informed business decisions through intelligent data analysis [58,60].…”

Section: Rq Answers and Conclusionmentioning

confidence: 99%

The Future of AI in IoT: Emerging Trends in Intelligent Data Analysis and Privacy Protection

Marengo

2023

Preprint

2

0

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This paper explores the dynamic intersection of Artificial Intelligence (AI) and the Internet of Things (IoT), focusing on emerging trends in intelligent data analysis and privacy protection. Employing a systematic literature review, we analyze recent advancements and challenges in AI-IoT integration. The paper highlights key developments in sensor data anomaly detection, AI-driven big-data analytics, and IoT-based communication techniques. It delves into the complexities of privacy protection in IoT, examining innovative solutions like federated learning and blockchain technologies. The study also addresses the challenges in AI for IoT, prioritizing the most pressing issues such as data security, ethical implementation, and compliance with regulations like GDPR. The research underscores the need for adaptable solutions that balance technological advancements with privacy and security considerations, setting a path for future exploration in AI-empowered IoT applications.

show abstract

“…The intersection between Artificial Intelligence (AI) and the Internet of Things (IoT) has garnered significant academic interest, resulting in several transformative applications across multiple industries. The integration's potential to revolutionize various sectors has been emphasized, such as the healthcare sector [58], credit risk evaluation innovation [10], and the automation strategy in smart cities [16]. This integration provides an enhanced customer experience and more informed business decisions through intelligent data analysis [58,60].…”

Section: Rq Answers and Conclusionmentioning

confidence: 99%

The Future of AI in IoT: Emerging Trends in Intelligent Data Analysis and Privacy Protection

Marengo

2023

Preprint

1

0

View full text Add to dashboard Cite

This paper explores the dynamic intersection of Artificial Intelligence (AI) and the Internet of Things (IoT), focusing on emerging trends in intelligent data analysis and privacy protection. Employing a systematic literature review, we analyze recent advancements and challenges in AI-IoT integration. The paper highlights key developments in sensor data anomaly detection, AI-driven big-data analytics, and IoT-based communication techniques. It delves into the complexities of privacy protection in IoT, examining innovative solutions like federated learning and blockchain technologies. The study also addresses the challenges in AI for IoT, prioritizing the most pressing issues such as data security, ethical implementation, and compliance with regulations like GDPR. The research underscores the need for adaptable solutions that balance technological advancements with privacy and security considerations, setting a path for future exploration in AI-empowered IoT applications.

show abstract

Risk Assessment of Operator’s Big Data Internet of Things Credit Financial Management Based on Machine Learning

Cited by 8 publications

References 22 publications

Future of AI-Driven IoT: Identifying Emerging Trends in Intelligent Data Analysis and Privacy Protection

Future of AI-Driven IoT: Identifying Emerging Trends in Intelligent Data Analysis and Privacy Protection

The Future of AI in IoT: Emerging Trends in Intelligent Data Analysis and Privacy Protection

The Future of AI in IoT: Emerging Trends in Intelligent Data Analysis and Privacy Protection

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