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54 articles for “Machine Learning”
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Leveraging Artificial Intelligence for Intelligent Risk Management in Small-Scale IT Projects
Abstract: Small-scale information technology (IT) projects are important in ensuring agility to the organization but portend very high mortality rates. Conventional, manual risk management models are usually highly simplistic and reactive in nature and they cannot fit the Agile/DevOps world of small and medium enterprises (SMEs) due to the lack of sufficient data, which is the central focus of this paper.1 Although Artificial Intelligence (AI) has the needed paradigm shift in …
Published in NOLEGEIN Journal of Business Risk Management · Vol. 9, Issue 1, 2026 Read article
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Artificial Intelligence in Supply Chain Management
Abstract: Every company's long-term sustainability depends on an effective supply network. Inventory estimation accuracy is a significant competitive advantage. The supply chain's capacity to satisfy demand is affected by weather, excessive seasonality, and changes in customer perception or media attention. Humans can now think at previously unimaginable levels thanks to AI, which has just been shown to act as an extension of the human brain. Instead of replacing humans, artificial intelligence …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 5, Issue 1, 2022 Read article
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Smart Finance: Leveraging Artificial Intelligence for Data-Driven Business Growth
Abstract: AI (Artificial Intelligence) has been a major factor in changing the financial landscape in recent years. The term "Smart Finance" describes use of AI tools like RPA (robotic process automation), ML (machine learning), natural language processing (NLP) to improve financial decision-making, automate repetitive tasks, and offer more in-depth understanding of how businesses operate. Financial institutions can improve customer service, manage risk better, streamline operations, and spur long-term development with this …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 8, Issue 1, 2025 · pp. 22–27 Read article
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Analyze Impact of Digital Transformation on The Retailing Value Chain
Abstract: The impact of digital transformation on the retailing value chain is a significant area of study, with implications for the entire sequence of activities involved in delivering a product or service to consumers. The value chain in retail encompasses every stage, from product creation to customer satisfaction, and can be optimized to gain a competitive edge. Digital transformation has been found to erode institutional retailing as the primary interface to …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 7, Issue 1, 2024 · pp. 12–15 Read article
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Digital Automation: Exploring the Dynamic Relationship between Humans and Computers
Abstract: With the development of science and technology, many things have changed which is evident with the use of apps for calls, chat, videos, and many more; all these new vistas give many folds of dimension to human interaction. New communication strategies have been created. The growth of computer technology has led to the concept of human-computer interaction. Young adults in the new generation, who are educated and technically adept, participate …
Published in NOLEGEIN Journal of Management Information Systems · Vol. 6, Issue 2, 2023 · pp. 1–7 Read article
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The Impact of Artificial Intelligence (AI) on Human Intelligence (HUMINT): A Blessing or a Curse?
Abstract: Artificial intelligence (AI) and machine learning (ML) are two rapidly advancing branches ofcomputer science that are fundamentally changing the way we interact with technology. While AIseeks to create intelligent machines capable of simulating human thinking and behavior, ML is anapplication of AI that enables machines to learn from data without being explicitly programmed. AsAI continues to evolve, it is becoming increasingly clear that we are on the cusp of a …
Published in NOLEGEIN Journal of Business Risk Management · Vol. 6, Issue 1, 2023 · pp. 20–28 Read article
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Research Paper on How Chatbots is used to Generate Leads in the Real Estate Industry
Abstract: Chatbots are trained programs which are personalized by an organization to meet the needs and demands of its customer. The importance of Chatbots is also now seen in the Real Estate industry. Real Estate industry use Chatbots to interact with the potential clients and convert those clients into a potential lead. In this paper author present an effective and an intelligent Chatbot. This Chatbot is build with various machine learning …
Published in NOLEGEIN Journal of Information Technology & Management · Vol. 2, Issue 1, 2019 · pp. 14–16 Read article
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A Study of Boom in Artificial Intelligence
Abstract: Nowadays, AI is one of the most important branch in computer science in which computer has to ability to think and learn. It applies logical based techniques through different types of machine learning to take automatic decision and also take automatic actions which is feed by human beings. One of the most prevalent and rapidly developing technologies today is AI. In this technology we use to develop intelligence in machines …
Published in NOLEGEIN Journal of Global Marketing · Vol. 6, Issue 1, 2023 · pp. 12–15 Read article
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Human–AI Collaboration in Fraud Detection, Risk Scoring, and Compliance Automation in Fintech
Abstract: As artificial intelligence (AI) systems assume increasingly consequential roles in financial fraud detection, risk scoring, and regulatory compliance, the question of how human expertise and machine intelligence are best integrated has become central to both operational effectiveness and ethical governance. Human–AI collaboration in fintech is not a transitional state on the path to full automation; it is a principled design choice that combines the pattern recognition and scalability of machine …
Published in NOLEGEIN Journal of Information Technology & Management · Vol. 9, Issue 2, 2026 · pp. 8–16 Read article
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AI in Finance: Fraud Detection and Risk Assessment
Abstract: Artificial Intelligence (AI) is changing how the financial world spots scams and handles risks. It acts like a super-smart helper, catching trouble fast—whether it’s crooks stealing money or loans going sour. This paper explores how AI helps banks and companies stay safe, digs into what experts have learned, and look at what’s coming next. We also ask a big question to guide future work, all in simple words anyone can …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 8, Issue 2, 2025 · pp. 45–50 Read article
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Digital and Social Media Marketing: Exploring the Latest Trends, Strategies, and Best Practices for Business Growth and Customer Engagement
Abstract: Digital and social media marketing have become essential components of modern business strategy, with companies of all sizes and industries leveraging these channels to engage with customers, drive brand awareness, and grow their businesses. Digital and social media have revolutionized the way businesses interact with customers and promote their products and services. In recent years, the use of these channels has grown exponentially, and businesses of all sizes and industries …
Published in NOLEGEIN Journal of Business Ethics, Ethos & CSR · Vol. 5, Issue 2, 2022 · pp. 10–19 Read article
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Exploring the Transformative Impact of Artificial Intelligence on Customer Segmentation and Precision Targeted Advertising Strategies
Abstract: The application of Artificial Intelligence (AI) in customer segmentation and targeted advertising has transformed modern marketing by enabling deeper insights and more personalized engagement with consumers. AI technologies, including machine learning, deep learning, and predictive analytics, allow businesses to analyze vast amounts of data and identify specific customer segments with remarkable accuracy. Unlike traditional methods that rely on broad demographic criteria, AI-driven segmentation incorporates behavioral, psychographic, and contextual data, creating …
Published in NOLEGEIN Journal of Consumer Behavior & Market Research · Vol. 8, Issue 1, 2025 · pp. 22–31 Read article
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Artificial Intelligence in Retail: Redefining Consumer Expectations and Retail Innovation
Abstract: This study offers an updated and comprehensive perspective on the integration of artificial intelligence (AI) within the retail sector and its transformative impact on modern commerce. The rapid expansion of digital technologies, combined with the dominance of global technology leaders such as Amazon, Alibaba, Apple, Google, and Microsoft, has significantly elevated consumer expectations and redefined retail dynamics. AI technologies, including machine learning, predictive analytics, and automation, enable retailers to process …
Published in NOLEGEIN Journal of Consumer Behavior & Market Research · Vol. 9, Issue 02, 2026 · pp. 1–8 Read article
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Difficulties in Financial Risk Management: A Review of AI Applications
Abstract: This paper analyses several uses of artificial intelligence (AI) techniques in financial risk management. Financial technology has significantly transformed company operations, requiring an adaptation within the financial industry. Financial risk management need reorganization owing to the reduced effectiveness of previously used solutions. The artificial intelligence methodologies shown their effectiveness and enabled swift, economical, and improved financial risk management in financial institutions and enterprises. This research seeks to clarify the use …
Published in NOLEGEIN Journal of Business Risk Management · Vol. 8, Issue 2, 2025 · pp. 1–8 Read article
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Enhancing Data Security in ERP-Based Human Capital Management (HCM) Systems: A Study through Workday Security Framework
Abstract: Protecting sensitive human capital data in Enterprise Resource Planning (ERP) systems is essential in today's digital environment. This study investigates data security strategies in ERP-based Human Capital Management (HCM) systems, with a particular focus on the Workday security framework. The analysis covers Workday's strong security measures, such as customizable security settings, role-based permissions, and compliance with international standards, assessing their effectiveness in protecting organizational data. The paper highlights the importance …
Published in NOLEGEIN Journal of Entrepreneurship Planning, Development and Management · Vol. 8, Issue 1, 2025 · pp. 8–17 Read article
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Legal Framework in Deep Diving into Financial Frauds via Ad Click, Credit Card Management and Document Dispensation in E-commerce Transactions
Abstract: The financial industry is at a critical juncture with unheard-of potential and threats as it charts its course into a digital future. The advent of machine learning (ML) and artificial intelligence (AI) represents a paradigm change, offering a potent toolkit to bolster defences against more elusive and pernicious financial scams. In order to understand the dynamics of these frauds, pinpoint the weaknesses that allow them to spread, and clarify the …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 8, Issue 1, 2025 · pp. 28–33 Read article
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A Novel Approach to Optimizing Assignment Problems in Business Economics Strategies
Abstract: The assignment problem is a fundamental optimization challenge in business economics, where resources or tasks must be allocated efficiently to minimize costs or maximize productivity. Traditional methods, such as the Hungarian algorithm, provide optimal solutions but fail to incorporate dynamic business constraints such as fluctuating economic conditions, priority-based assignments, and fairness considerations. This paper proposes a novel approach that integrates priority-based assignment modelling, a dynamic cost adjustment mechanism, and an …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 8, Issue 1, 2025 · pp. 10–14 Read article
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Energy-Efficient Neuromorphic Spiking Neural Networksfor Real-Time Event-Driven Stock Market Prediction: A Systematic Review
Abstract: I believe that neuromorphic computing and financial prediction is now a genuinely exciting, yet under-researched, area of applied machine learning study. The paper presents a systematic literature review of the literature based on energy efficient Spiking Neural Networks (SNNs) in forecasting events-based real-time stock market data. Event based in character Financial time-series data is not continuous in nature, but consists of major discrete events like significant price changes, volume surges, …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 9, Issue 2, 2026 Read article
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The Accuracy Paradox in AI Equity Markets: A Regime-AwareTrading Strategy using XGBoost and Walk-Forward Optimization
Abstract: This study investigates the “Accuracy Paradox” in algorithmic equity trading by examining whether a machine learning model with near-random directional prediction accuracy can still generate profitable trading outcomes when combined with effective risk- management and market-regime rules. An XGBoost classifier was developed and evaluated using approximately six years of daily market data from five major technology stocks—NVIDIA, Apple, Microsoft, Alphabet, and Meta—covering the period from January 2020 to February 2026. …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 9, Issue 2, 2026 Read article
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A Study on Talent Acquisition and Retention Strategies of IT Industries in Madhya Pradesh
Abstract: Technological innovation and economic growth are significantly influenced by the Information Technology (IT) sector. This study delves into the talent acquisition and retention strategies employed by IT companies in Madhya Pradesh, aiming to understand the unique challenges and opportunities within the region. The research combines qualitative and quantitative methods to provide a comprehensive analysis. The study begins by examining the current state of the IT industry in Madhya Pradesh, considering …
Published in NOLEGEIN Journal of Information Technology & Management · Vol. 7, Issue 2, 2024 · pp. 15–25 Read article