Revolutionizing Banking Decision-Making: A Deep Learning Approach to Predicting Customer Behavior

Journal of Business and Management Studies, Год журнала: 2024, Номер 6(3), С. 21 - 27

Опубликована: Май 7, 2024

This article explores a machine learning approach focused on predicting bank customer behavior, emphasizing deep methods. Various architectures, including CNNs like VGG16, ResNet50, and InceptionV3, are compared with traditional algorithms such as Random Forest SVM. Results show models, particularly outperform ones, an accuracy of 86.66%. A structured methodology ensures ethical data use. Investing in infrastructure expertise is crucial for successful integration, offering competitive edge banking decision-making.

Язык: Английский

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From ideas to ventures: building entrepreneurship knowledge with LLM, prompt engineering, and conversational agents

Education and Information Technologies, Год журнала: 2024, Номер unknown

Опубликована: Июнь 10, 2024

Язык: Английский

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Deep Learning for Enterprise Decision-Making: A Comprehensive Study in Stock Market Analytics

Journal of Business and Management Studies, Год журнала: 2024, Номер 6(2), С. 153 - 160

Опубликована: Апрель 20, 2024

This study explores the transformative impact of deep learning, specifically Convolutional Neural Networks (CNNs), on organizational decision-making in stock market. Utilizing CNN architectures like VGG16, ResNet50, and InceptionV3, research emphasizes significance leveraging learning for improved business intelligence management. It highlights superiority models over traditional algorithms, with VGG16 achieving an accuracy rate 90.45%. The underscores potential extracting valuable insights from complex data, leading to a shift optimizing processes. Additionally, it stresses importance investing infrastructure expertise successful integration, alongside addressing ethical privacy concerns. Through dive into real-time mathematical concepts, provides functionality offers comparisons between different architectures, aiding specialized applications such as market trends.

Язык: Английский

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Advancements in Retail Price Optimization: Leveraging Machine Learning Models for Profitability and Competitiveness

Journal of Business and Management Studies, Год журнала: 2024, Номер 6(3), С. 103 - 110

Опубликована: Май 23, 2024

Retail price optimization is essential for maximizing profitability and maintaining competitiveness in today's dynamic retail landscape. This study addresses as a regression problem, utilizing machine learning models to predict optimal points products. Leveraging factors such product attributes, competitor pricing dynamics, customer behaviors, analysis provides structured approach understanding the intricate relationships between variables. Among various techniques, Random Forest Regressor emerges potent strategy, offering robustness versatility tackling complex tasks. Results indicate that outperforms Decision Tree Logistic Regression regarding accuracy, precision, recall, overall predictive performance. With achieving an accuracy of 94%, it demonstrates superior capability capturing data patterns making accurate predictions prices. By leveraging advanced analytics retailers can optimize strategies, maximize profits, maintain market. underscores importance continuously analyzing refining strategies gain competitive edge

Язык: Английский

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Transformative Impact of Deep Learning in Stock Market Decision-Making: A Comparative Study of Convolutional Neural Networks

Journal of Business and Management Studies, Год журнала: 2024, Номер 6(3), С. 28 - 34

Опубликована: Май 7, 2024

This research delves into the transformative impact of deep learning, specifically Convolutional Neural Networks (CNNs) such as VGG16, ResNet50, and InceptionV3, on organizational management business intelligence. The study follows a comprehensive methodology, emphasizing importance high-quality datasets in leveraging learning for enhanced decision-making. Results demonstrate superior performance CNN models over traditional algorithms, with (VGG19) achieving an accuracy rate 89.45%. findings underscore potential extracting meaningful insights from complex data, offering paradigm shift optimizing various processes. article concludes by significance investing infrastructure expertise successful integration, ensuring ethical considerations, addressing data privacy concerns. contributes to growing discourse application management, providing valuable resource businesses navigating dynamic landscape global market.

Язык: Английский

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Enhancing Credit Card Fraud Detection: A Comprehensive Study of Machine Learning Algorithms and Performance Evaluation

SSRN Electronic Journal, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

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Marketing-Revolution: Enthüllung innovativer Ansätze der Branche

Springer eBooks, Год журнала: 2025, Номер unknown, С. 129 - 153

Опубликована: Янв. 1, 2025

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Mapping the evolution of GPT-4o innovations: An analytical exploration of progress, applications, and horizons

Revista Cientifica de Sistemas e Informatica, Год журнала: 2025, Номер 5(1), С. e881 - e881

Опубликована: Янв. 20, 2025

Artificial intelligence is transforming various sectors, with OpenAI's GPT-4o as a key innovation in natural language processing. Its impact on healthcare, education, and business makes understanding its use essential. Clear references will guide development application, maximizing transformative potential. This research employs bibliometric tools to analyze the adoption evolution of GPT-4o. By examining published literature, citation networks, keyword co-occurrence patterns, it identifies application domains, emerging trends, collaborative networks driving innovation. The study highlights GPT-4o’s transition from theoretical practical implementation across disciplines. findings contribute knowledge GPT-4o, offering insights into applications future opportunities. perspective aids researchers, practitioners, policymakers leveraging for addressing growth areas challenges, underscores need strategic utilization maximize potential industries society.

Язык: Английский

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Comprehensive examination of the bright and dark sides of generative AI services: A mixed-methods approach

Electronic Commerce Research and Applications, Год журнала: 2025, Номер unknown, С. 101491 - 101491

Опубликована: Фев. 1, 2025

Язык: Английский

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Cognitive Computing and Business Intelligence Applications in Accounting, Finance and Management

Big Data and Cognitive Computing, Год журнала: 2025, Номер 9(3), С. 54 - 54

Опубликована: Фев. 26, 2025

Cognitive computing encompasses tools and methods that simulate mimic the process of human thinking, without supervision. Deep neural network architectures, natural language processing, big data tools, self-learning based on pattern recognition have been widely deployed to solve highly complex problems. Business intelligence enhances collaboration among different organizational departments with data-driven conversations provides an organization meaningful interpretation for making strategic decisions time. Since introduction ChatGPT in November 2022, tremendous impacts using Large Language Models rippling through cognitive computing, business intelligence, their applications accounting, finance, management. Unlike other recent reviews related areas, this review focuses precisely perspective, frontier Some current limitations future directions are also discussed.

Язык: Английский

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