[HTML][HTML] Artificial intelligence (AI) applications for marketing: A literature-based study
Artificial Intelligence (AI) has vast potential in marketing. It aids in proliferating information
and data sources, improving software's data management capabilities, and designing …
and data sources, improving software's data management capabilities, and designing …
Artificial intelligence in marketing: A systematic literature review
S Chintalapati, SK Pandey - International Journal of Market …, 2022 - journals.sagepub.com
The digital transformation fostered by the increasing leverage of artificial intelligence (AI)
has been a critical influencing factor unleashing the next wave of enterprise business …
has been a critical influencing factor unleashing the next wave of enterprise business …
Artificial intelligence techniques in finance and financial markets: a survey of the literature
C Milana, A Ashta - Strategic Change, 2021 - Wiley Online Library
Both academic and nonacademic literature is evolving following the oscillating development
of artificial intelligence (AI) and computing power's evolution in their application to finance …
of artificial intelligence (AI) and computing power's evolution in their application to finance …
The ai revolution: opportunities and challenges for the finance sector
This report examines Artificial Intelligence (AI) in the financial sector, outlining its potential to
revolutionise the industry and identify its challenges. It underscores the criticality of a well …
revolutionise the industry and identify its challenges. It underscores the criticality of a well …
Deep learning enhancing banking services: a hybrid transaction classification and cash flow prediction approach
Abstract Small Medium Enterprises (SMEs) are vital to the global economy and all societies.
However, they face a complex and challenging environment, as in most sectors they are …
However, they face a complex and challenging environment, as in most sectors they are …
Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms
X Lei, UH Mohamad, A Sarlan, M Shutaywi… - Information Processing …, 2022 - Elsevier
Abstract The development of Management Information Systems (MIS) is impossible without
the use of machine learning (ML). It's a type of Artificial Intelligence (AI) that makes …
the use of machine learning (ML). It's a type of Artificial Intelligence (AI) that makes …
Which return regime induces overconfidence behavior? Artificial intelligence and a nonlinear approach
Overconfidence behavior, one form of positive illusion, has drawn considerable attention
throughout history because it is viewed as the main reason for many crises. Investors' …
throughout history because it is viewed as the main reason for many crises. Investors' …
Digital transformation and integration of artificial intelligence in financial institutions
Purpose Integrating artificial intelligence (AI) into various industries, including the financial
sector, has transformed them. This paper aims to examine the influence of integrating AI …
sector, has transformed them. This paper aims to examine the influence of integrating AI …
Mathematical Patterns in Fuzzy Logic and Artificial Intelligence for Financial Analysis: A Bibliometric Study
In this study, we explored the dynamic field of fuzzy logic and artificial intelligence (AI) in
financial analysis from 1990 to 2023. Utilizing the bibliometrix package in RStudio and data …
financial analysis from 1990 to 2023. Utilizing the bibliometrix package in RStudio and data …
Comparison Analysis of Traditional Machine Learning and Deep Learning Techniques for Data and Image Classification
E Karypidis, SG Mouslech, K Skoulariki… - arXiv preprint arXiv …, 2022 - arxiv.org
The purpose of the study is to analyse and compare the most common machine learning
and deep learning techniques used for computer vision 2D object classification tasks. Firstly …
and deep learning techniques used for computer vision 2D object classification tasks. Firstly …