Trends and future perspective challenges in big data

M Naeem, T Jamal, J Diaz-Martinez, SA Butt… - Advances in Intelligent …, 2022 - Springer
We are living in an era of big data, where the process of generating data is continuously
been taking place with each coming second. Data that is more varied and extremely …

The impacts of artificial intelligence techniques in augmentation of cybersecurity: a comprehensive review

B Naik, A Mehta, H Yagnik, M Shah - Complex & Intelligent Systems, 2022 - Springer
Given the prevailing state of cybersecurity, it is reasonable to understand why cybersecurity
experts are seriously considering artificial intelligence as a potential field that can aid …

[HTML][HTML] The impact of artificial intelligence along the insurance value chain and on the insurability of risks

M Eling, D Nuessle, J Staubli - The Geneva Papers on Risk and Insurance …, 2022 - Springer
Based on a data set of 91 papers and 22 industry studies, we analyse the impact of artificial
intelligence on the insurance sector using Porter's (1985) value chain and Berliner's (1982) …

Fraud analysis approaches in the age of big data-A review of state of the art

S Makki, R Haque, Y Taher, Z Assaghir… - 2017 IEEE 2nd …, 2017 - ieeexplore.ieee.org
Fraud is a criminal practice for illegitimate gain of wealth or tampering information.
Fraudulent activities are of critical concern because of their severe impact on organizations …

Exploring the factors influencing big data technology acceptance

N Rahman, T Daim, N Basoglu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Big Data has received great attention in academic literature and industry papers. Most of the
experiments and studies focused on publishing results of big data technologies …

Artificial intelligence assistants and risk: framing a connectivity risk narrative

M Cunneen, M Mullins, F Murphy - Ai & Society, 2020 - Springer
Our social relations are changing, we are now not just talking to each other, but we are now
also talking to artificial intelligence (AI) assistants. We claim AI assistants present a new form …

AI-driven fraud detection and mitigation in e-commerce transactions

I Hasan, SAM Rizvi - Proceedings of Data Analytics and Management …, 2022 - Springer
Digital technology has created new channels of digital transaction for e-Commerce and
financial services distribution companies. The COVID-19 has intensified the adoption of …

Big Data: A disruptive innovation in the insurance sector

A Rana, R Bansal, M Gupta - Big data analytics in the insurance …, 2022 - emerald.com
Introduction: The insurance sector provides security to society by pooling resources to
manage risks. Insurers' improved ability to analyse risks by examining vast amounts of …

The changing narrative in the health insurance industry: Wearables technology in health insurance products and services for the COVID-19 world

B Nayak, SS Bhattacharyya - Journal of Health Management, 2020 - journals.sagepub.com
COVID-19 pandemic, the associated economic lockdown and the norms of social distancing
have disrupted the business world. Most managers have struggled to make sense of the …

Fraud Detection in Supply Chain with Machine Learning

M Seify, M Sepehri, A Hosseinian-Far, A Darvish - IFAC-PapersOnLine, 2022 - Elsevier
A variety of fraud in Supply Chains may be detected either in physical parts or in cyber data.
We use supervised machine learning to detect various fraud and misinformation in supply …