International Journal of Technology, Leadership and Sciences
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INTELLIGENT AND HYBRID AI-BASED FAULT DETECTION FRAMEWORK FOR REAL-TIME MONITORING IN INVERTERDOMINATED MICROGRIDS
The evolution of microgrids toward renewable energy integration has led to increased deployment of inverterdominated and low-inertia systems. Traditional fault detection mechanisms, tailored for conventional grids, struggle under these new dynamics. This paper proposes an intelligent and hybrid AI-based framework incorporating Wavelet Transform and Convolutional Neural Networks (WT-CNN) alongside Support Vector Machine–Fuzzy Logic (SVM-FL) models. The framework aims to achieve high-speed, adaptive, and accurate fault detection and classification in real time. Implemented using MATLAB/Simulink and tested under varying operating conditions, the model demonstrates superior performance in detection latency, classification accuracy, and robustness against system disturbances.
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A STUDY ON AI IN RESUME SCREENING AND RECRUITMENT BENEFITS AT INFOSYS
Artificial intelligence is revolutionizing the workforce by streamlining and complicating the employment process. HR workers can save a lot of time by not having to go through as many applications because AI can efficiently evaluate and find the most eligible individuals. When compared to people, it is often more accurate in determining an applicant's knowledge, abilities, and fit for the position. In order to ensure that individuals from diverse backgrounds have equal opportunities, AI works to reduce bias. AI can locate competent candidates in a matter of minutes, greatly reducing the workload of recruiters. You may learn a lot about a candidate's potential and cultural fit with a company using predictive technology. This effectiveness shortens the hiring process and saves money by making better use of repetitive administrative tasks. All levels of management can benefit from having access to transparent, data-driven insights when making hiring decisions. Companies and candidates alike are finding the hiring process to be more engaging, transparent, and expedited thanks to AI.
A STUDY ON CORPORATE SOCIAL RESPONSIBILITY AS INVESTOR ATTRACTION WITH REFERENCE TO DABUR INDIA
Corporate social responsibility (CSR) and its impact on investor interest is the focus of this research. It zeroes down on Dabur India Ltd., a famous Indian fast-moving consumer goods company known for its dedication to eco-friendly operations. A company's reputation, risk profile, and long-term financial value are all affected by its CSR initiatives, especially since investors increasingly consider ESG factors when making investment decisions. To examine the effects of socially responsible company practices on stakeholder trust, investor confidence, and investment flows, this case research uses Dabur's CSR strategy, disclosures, and success as a case research. The research highlights the growing importance of corporate social responsibility as a competitive differentiator and market attractiveness factor for Indian companies.
ENHANCING CUSTOMER RETENTION THROUGH AI-ENABLED CRM SOLUTIONS A MARKETING ANALYTICS PAPER OF GENPACT
This paper delves at the ways in which Genpact, an AI-driven CRM platform, may maximize client retention through the application of advanced marketing analytics. This paper looks at how customer relationship management systems can use artificial intelligence, machine learning, and predictive analytics to better understand customer tastes and habits. Businesses can instantly analyze massive volumes of structured and unstructured customer data with the help of AI-powered CRM solutions. Customer journey visualization, sentiment suggestions, and sentiment analysis all contribute to higher engagement, according to the paper. By identifying potentially vulnerable customers, predictive models pave the way for proactive retention strategies. The importance of making decisions based on data in building long-term relationships with customers is emphasized by the research. The use of chatbots and intelligent procedures automates client contacts, which improves service quality and response speed. The ability of AI to conduct segmentation analyses and deliver tailored marketing is the focus of this research. If demand projections are accurate, customer satisfaction goes up. The findings show that customer relationship management systems with AI capabilities allow for consistent and personalized interactions with clients across different platforms. In order to improve marketing strategies, the paper highlights the significance of insights produced by analytics.
AI CHATBOTS FOR HR SERVICE DELIVERY AT HCL TECHNOLOGIES
The way businesses handle employee contacts and optimize HR procedures has changed as a result of the incorporation of AI chatbots into HR service delivery. AI-powered chatbots have been used by HCL Technologies to improve HR productivity by instantly responding to employee inquiries about payroll, leave administration, hiring, and policy clarifications. These chatbots guarantee precise and consistent information distribution throughout the company, lessen manual labor, and speed up response times. HCL's AI chatbots leverage machine learning and natural language processing to adapt to user behavior and provide context-aware and customized solutions. Additionally, the solution increases overall productivity and employee happiness by allowing HR personnel to concentrate on strategic goals rather than tedious activities. This paper outlines the advantages, difficulties, and potential applications of AI chatbots in HCL Technologies' HR service delivery.
FUTURE OF VIRTUAL BANKING MODELS AT KOTAK MAHINDRA BANK
This research assesses the influence of digital transformation on traditional banking practices and considers the future of virtual banking models, with a focus on Kotak Mahindra Bank. It looks into the bank's innovative use of technology to provide financial services that are both user-friendly and customer-centric. The research shows how combining blockchain, AI, and advanced analytics may improve operational security and efficacy. Furthermore, the analysis identifies emerging trends including API-based ecosystems and open banking. The essay discusses cybersecurity issues, the importance of regulatory compliance, and a lack of technological understanding. It is underlined that virtual banking has the ability to reduce expenses while also reaching people who do not have access to traditional financial services. Businesses use market research and customer feedback to forecast how consumers will use a product. There are strategic guidelines for expanding digital services while remaining ecologically friendly. Overall, the research demonstrates the importance of Kotak Mahindra Bank in shaping the future of internet banking.
WORKPLACE WELLNESS AND EMPLOYEE SATISFACTION AT LANCO
This research looks into the relationship between employee happiness and workplace wellness programs at LANCO, a well-known organization that operates in a competitive, fast-paced business environment. It analyzes the impact of mental, emotional, and physical well-being initiatives on worker motivation, morale, and overall workplace satisfaction. The inquiry looks into key aspects of wellbeing, such as stress management, organizational support systems, work-life balance, and health and safety protocols. It analyzes the effect of workplace wellness initiatives on employee dedication and output, as well as their emotional reactions to them. According to the research, people may experience job satisfaction when they work in an environment that promotes a positive work culture and supportive leadership. It also looks into how much work can harm employees' health. The research clearly demonstrates a link between successful wellness efforts and lower absenteeism and turnover. Research shows that employees who feel appreciated and supported are more devoted and engaged. Furthermore, the importance of wellness awareness programs and communication is frequently discussed. Furthermore, the data shows that firms that prioritize health improve productivity and workplace culture.
SIMULATION-BASED TRAINING FOR DECISION AT MAKING SKILLS AT INFOSYS
Simulation-based training has proven to be an effective method for developing decision-making skills in fastpaced, technologically advanced contexts. Infosys is increasingly incorporating simulation-based learning frameworks into its professional development activities. These frameworks provide employees with safe, authentic work environments that closely mirror actual business settings. This strategy enables students to improve their critical thinking skills, examine their options, and negotiate challenging situations when they are unsure about their next moves. Simulation-based training helps students shift from theoretical knowledge to practical application by incorporating experiential learning, data-driven feedback, and practice that builds on itself. The research found that structured simulation modules improve participants' ability to make strategic decisions, interact successfully, and think creatively. The findings show that simulation-based training improves organizational performance significantly by enhancing decision-making consistency, precision, and confidence. According to the research, simulation-driven learning ecosystems can be a scalable and effective framework for improving the decision-making capabilities of Infosys' current workforce.
DIGITAL TRANSFORMATION IN B2B MARKETING AT WIPRO
This research examines the influence of digital transformation on B2B marketing, with a focus on Wipro. It underlines how innovative digital technologies are transforming the enterprise services sector, changing client interaction, marketing strategies, and value creation. The research investigates Wipro's use of data analytics, artificial intelligence, automation, cloud platforms, and digital ecosystems to provide personalized, insightdriven, and relationship-focused B2B marketing. It emphasizes the shift from transaction-focused traditional marketing to collaborative digital experiences that improve customer journeys, better manage prospects, and build stronger, long-term client connections. The research highlights the competitive advantage, scalability, and adaptability that Wipro's digital marketing tactics provide in worldwide B2B markets. It also addresses issues related to data integration, organizational change, and talent development.
RECOGNITION PROGRAMS AND JOB FULFILLMENT AT FEDERAL BANK
The research on Federal Bank's Recognition Programs and job Fulfillment examines the relationship between the organization's overall job contentment and employee recognition programs. Recognition programs are critical for improving the working environment, inspiring employees to put up more effort, and raising output. Structured recognition systems, such as performance awards, appreciation gatherings, and incentive programs, are critical for Federal Bank to keep its staff happy and engaged. According to the report, acknowledging achievement and hard work improves employee engagement, reduces turnover, and boosts dedication to the firm. Employee research reveals that when employees receive continuous praise, they feel a better feeling of fulfillment and belonging at work. The research also shows that transparent and equal recognition procedures promote collaboration and ensure that all stakeholders' aims are aligned with those of the bank. Finally, it is established that Federal Bank needs well-designed recognition programs to ensure long-term performance and staff happiness.
FINANCIAL LITERACY AND BANKING HABITS AT IDFC FIRST BANK
An individual's level of financial literacy has a major impact on their financial behavior and decisions. The purpose of this project is to determine the level of financial literacy among consumers and how it effects their banking activities, with a focus on IDFC FIRST Bank. The poll assesses key factors such as familiarity with banking products, awareness of digital banking, understanding of savings and investment possibilities, and smart financial practices. Structured questionnaires were used to collect information from a wide group of IDFC FIRST Bank customers. The statistics show a link between financial literacy and responsible banking practices, such as making sound investment selections, repaying loans on time, using digital banking services, and saving consistently. The findings show that people with a higher level of financial literacy are better at managing their finances, using banking services more effectively, and protecting their overall financial well-being. The research underlines the need of ongoing customer education initiatives for financial institutions in cultivating a financially responsible society, increasing customer happiness, and promoting educated financial decisions.
DEBT RECOVERY TRIBUNALS AND STRENGTHENING BANKING AT SBI LIFE INSURANCE
This article examines the potential of Debt Recovery Tribunals (DRTs) to strengthen the banking industry, using SBI Life Insurance as a case study. The smooth operation of lending institutions, as well as the preservation of economic stability, rely heavily on debt collection. DRTs were meant to improve the financial stability of banks and other financial institutions, reduce the number of non-performing assets (NPAs), and provide a quick and easy way to recover bad loans. The study looks into how successful debt collection tactics can help SBI Life Insurance improve asset management, increase liquidity, and develop customer trust, all of which can contribute to the company's long-term growth. This paper examines legislative frameworks, operational efficacy, and recovery results to demonstrate the crucial role of DRTs in strengthening the financial ecosystem and increasing confidence in the banking and insurance sectors.
DEBT FINANCING ALTERNATIVES FOR INFRASTRUCTURE GROWTH AT LARSEN AND TOUBRO LIMITED
This research looks into the debt financing options available to Larsen & Toubro Limited (L&T) in order to speed up infrastructure development in India and other regions. In light of the growing financial requirements for large projects, the research assesses both traditional and hybrid loan instruments. External commercial borrowings (ECBs), infrastructure debt funds, corporate bonds, project financing loans, syndicated bank facilities, and green/social bonds fall under this category. Furthermore, it studies structured solutions such as asset-backed project financing, receivables securitization, and mezzanine financing. Using a risk-return analysis, the abstract shows how each instrument affects L&T's balance-sheet leverage, cashflow matching, cost of capital, covenant exposure, and repayment tenor. The research also considers regulatory and market constraints, such as the depth of the capital market, banks' willingness to lend, investor preferences, and interest rate and currency risk. The strategic importance of public-private partnership (PPP) frameworks in the transfer of project risk is also discussed. According to the paper, the most effective funding strategy for L&T would include a mix of long-term, low-cost institutional debt (such as bonds and infrastructure debt funds) for critical revenue-generating assets, project/syndicated financing for greenfield projects, and targeted mezzanine capital to protect equity appreciation. Finally, the paper recommends implementing governance techniques, risk-mitigation strategies (such as ring-fencing SPVs and hedging), and investor communication tactics to lower financing costs and promote the acquisition of sustainability financing.
CAREER DEVELOPMENT INITIATIVES AND STRATEGIC ALIGNMENT AT MAHINDRA & MAHINDRA
The goal of this investigation is to find out how well Mahindra & Mahindra's professional growth programs match up with the company's long-term goals. It shows how succession planning, well-organized training programs, and chances to help others learn can all help employees stay engaged, improve their skills, and stay with the company. According to the study, it's important to make sure that professional development plans are in line with the long-term goals of the organization. This is because matching a person's growth path with the goals of the organization improves both their own performance and the results of the business. Mahindra & Mahindra needs to align its job development programs on purpose if it wants to keep its employees competitive and improve its overall performance, according to the results.
RECOGNITION PROGRAMS FOR MILLENNIAL RETENTION AT TATA MOTORS
Organizations that are overseeing a workforce that is swiftly changing have recognized that employee retention has become a critical strategic issue. Millennials are one of the most difficult populations to retain because they have different expectations for workplace culture, career growth, and recognition than prior generations. This paper looks at how Tata Motors, one of India's most important automobile firms, uses recognition programs to improve employee retention among millennials. The paper looks at how formal and informal acknowledgment programs affect millennials' engagement, job happiness, and organizational loyalty. This program encompasses digital appreciation platforms, performance rewards, career development acknowledgements, and peer-to-peer recognition. According to the findings, recognition programs are an important component of Tata Motors' successful retention strategy, as millennials value opportunities for advancement, visibility of accomplishments, and continual feedback. The paper found that well-designed, open, and individualized appreciation programs not only increase employee motivation but also improve their emotional connection to the firm. To better fulfill the expectations of millennials, the paper's conclusion proposes improving Tata Motors' recognition system, which will eventually lead to decreased employee turnover and a more engaged workforce.
HR TECHNOLOGY FOR EMPLOYEE DEVELOPMENT AT INDUSIND BANK
This paper looks into the impact of HR technology on employee development at IndusInd Bank, specifically how digital technologies are affecting the company's learning, performance, and career advancement. The bank's use of HR technology has enabled it to build virtual mentoring programs, continuous feedback systems, and data-driven learning platforms. Employees receive tailored development plans that boost productivity and abilities using AI-based data and Learning Management Systems (LMS). IndusInd Bank uses digital performance dashboards, mobile training tools, and e-learning to foster a culture of continuous improvement. Furthermore, technology has streamlined the process of succession planning and talent appraisal, ensuring that leaders are prepared. Furthermore, digital HR solutions have increased employee engagement by offering quick recognition and clear career routes. The paper emphasizes the liberty of HR to focus on strategic staff expansion by reducing administrative obligations, which is made possible by automation. According to research, technological advancements have made the finance sector more adaptive and inventive.
E-RECRUITMENT VERSUS TRADITIONAL RECRUITMENT AT INFOSYS
The comparative efficacy of e-recruitment versus traditional recruitment approaches, specifically focusing on Infosys, a renowned worldwide IT firm. Recruitment is essential for acquiring skilled workers, especially in the competitive technology sector. Conventional means, such newspaper advertisements, university initiatives, and third-party agencies, have been utilized by many; nevertheless, these approaches are typically costlier and necessitate a longer processing duration. Infosys has used a growing array of e-recruitment tools, such as AI-driven application tracking systems, professional networking platforms, corporate career portals, and online job boards, in reaction to the swift advancement of digital transformation. This research illustrates how e-recruitment improves the company's reputation, enhances efficiency, grants employers access to a wider candidate pool, and accelerates the recruitment process. It also addresses certain difficulties linked to e-recruitment, like heightened competition and diminished personal interaction. The research demonstrates that Infosys can attain outstanding recruitment results by utilizing a hybrid approach that combines contemporary technological tools with selective traditional methods. The research indicates that e-recruitment offers greater strategic benefits and more efficiently meets the changing demands of the IT industry.
EFFECTIVENESS IN HUMAN RESOURCE DEVELOPMENT AT GENPACT
Human resource development (HRD) is critical for improving organizational performance by encouraging the growth of employee competences, knowledge, and abilities. This paper looks at the success of HRD activities at Genpact, a worldwide professional services firm, with a special emphasis on employee engagement techniques, learning interventions, and training programs. By examining HR policies, development frameworks, and feedback mechanisms, the inquiry demonstrates how Genpact integrates human capital development with organizational goals. In addition, the paper assesses the influence of HRD on employee retention, job satisfaction, and performance, underlining the strategic importance of ongoing education in a competitive corporate context. The findings show that Genpact's HRD strategy is both systematic and adaptive, which significantly enhances organizational efficacy, organizational creativity, and worker skills. These findings provide recommendations for organizations interested in improving their human resource skills.
COST ACCOUNTING IN HEALTHCARE SERVICE INDUSTRY AT APOLLO HOSPITALS
Cost accounting is indispensable for optimizing healthcare financial efficiency and decision-making. The significance of cost accounting in hospital administration is the primary focus of this study conducted at Apollo Hospitals, a renowned healthcare provider in India. By conducting a systematic analysis, monitoring, and management of expenses, Apollo Hospitals can enhance operational efficiency, resource allocation, and waste reduction. The investigation demonstrates the role of cost accounting in the establishment of medical care costs, the evaluation of departmental performance, and the budgeting process, all of which ultimately contribute to the development of financial stability and strategic decision-making. The research also demonstrates the critical importance of precise cost information in the management of costly remedies, the enhancement of patient care, and the generation of revenue without compromising the quality of service. Apollo Hospitals and other healthcare institutions are able to effectively manage their finances and maintain long-term growth and competitiveness through the implementation of effective cost accounting.
FINANCIAL RATIOS AND SUSTAINABLE GROWTH AT LIC OF INDIA
This research looks at LIC of India's long-term growth and financial parameters. It evaluates the company's finances, operations, and growth using numbers. In the competitive insurance industry, LIC's liquidity, profitability, solvency, and efficiency ratios indicate its performance and stability. The study evaluates old financial data for corporate income, cost management, and asset use patterns. How well the business grows depends on these tendencies. The study examines strategic aims and profit. For survival, a company must organize resources, manage risks, and invest. This examination closes with LIC's financial system benefits and downsides. This knowledge can be utilized to make smart decisions, create policies, and plan insurance firm growth and stability.
LOYALTY PROGRAMS IN ENHANCING CUSTOMER RETENTION AT RELIANCE TRENDS
The purpose of this paper is to investigate the impact of loyalty programs in improving consumer retention at Reliance Trends, a well-known fashion retail company in India. Loyalty programs that provide rewards such as discounts, points, and special offers dramatically increase consumer engagement and repeat business. The paper analyzes the design and implementation of these efforts to determine their influence on consumer happiness, repeat business, and long-term brand loyalty. The paper focuses on how individualized incentives and offers strengthen consumer interactions and motivate people to stay loyal to the company.
The goal of this research is to look into the impact of Coca-Cola's brand equity on brand value, consumer loyalty and market share. Using a combination of qualitative and quantitative research approaches, the paper explores how customers view the Coca-Cola brand in terms of quality, associations, awareness, and overall reputation. The paper uses surveys and interviews with a wide range of demographics to identify important elements that contribute to Coca-Cola's excellent brand equity, such as consistent messaging, emotive connections with customers, and worldwide presence. The findings indicate that Coca-Cola has a positive brand image, good brand recall, and great consumer loyalty. Nonetheless, the paper identifies new challenges, such as increased competition and shifting customer preferences for healthier beverage options. The findings provide strategic direction for preserving and enhancing Coca-Cola's brand equity in a continually changing market.
CREDIT RISK MODELS IN COOPERATIVE BANKS AT BANDHAN BANK
This research evaluates cooperative bank credit risk models, focusing on Bandhan Bank. Financial institutions, especially cooperatives, worry about credit risk—the loss that may result from a borrower's failure to meet financial obligations. The study examines credit risk assessment models including PD, LGD, and EAD to preserve financial stability and manage nonperforming assets. Direct data from Bandhan Bank's lending operations and secondary data from financial reports and scholarly literature are used to assess existing credit risk management practices' pros and cons. Bandhan Bank and other cooperative banks are using data-driven, technology-based solutions to improve credit assessments and minimize default rates, even while standard risk appraisal approaches are structured. Research supports this. This research suggests ways to improve credit risk modeling for sustainable development and integrate international risk management practices into cooperative banking.
INCENTIVE FRAMEWORKS FOR PRODUCTIVITY AND MORALE AT STATE BANK OF INDIA
The investigation influence of structured incentive programs on employee productivity, motivation, and job satisfaction. In order to cultivate a positive work environment and increase employee productivity, it is imperative to implement both financial and non-financial incentives. This investigation investigates the impact of the State Bank of India's (SBI) incentive programs on employee morale, productivity, and loyalty. The study is a systematic examination of the effectiveness of incentive programs that are well-structured in fostering a sense of community among employees, decreasing attrition, and increasing productivity. The findings suggest that incentives that are transparent, equitable, and performance-oriented can significantly improve productivity and motivation. The analysis suggests that effective incentive management is essential for the sustained organizational success and increased employee engagement of SBI.
DEBTORS TURNOVER IN AUTOMOBILE MANUFACTURING AT MAHINDRA AND MAHINDRA
The debtor turnover ratio is an important financial metric that measures the effectiveness of a company's credit sales and collection activities. This ratio is critical for evaluating working capital and liquidity management in the car manufacturing sector, as credit influences sales primarily through financing methods and dealer networks. This inquiry focuses on the debtor turnover performance of Mahindra & Mahindra Ltd., one of India's most significant vehicle manufacturers. The goal is to assess the company's ability to convert receivables into cash in order to sustain positive cash flows. The research draws a link between Mahindra & Mahindra's most recent receivables management measures, industry standards, and operational strategy. A lower percentage may indicate that recovery methods are inadequate or that loan terms are extended, whereas a larger ratio shows that credit standards are efficient and collection is accelerated. By evaluating these developments, the report provides insight into how Mahindra & Mahindra balances financial discipline with credit sales growth. The findings highlight the relevance of debtor management optimization in improving overall financial performance, reducing credit risk, and increasing liquidity in the competitive automobile business.
PROFITABILITY RATIO ANALYSIS IN INDIAN FIRMS AT ARAVIND LTD
Profitability ratios play a crucial role in determining the effectiveness and success of a company. This research looks at the financial standing and profitability patterns of Aravind Ltd., a well-known Indian firm, over a certain time frame. Operating profit margin, net profit margin, return on assets (ROA), and return on equity (ROE) were some of the key ratios used to assess the firm's profitability in relation to sales, assets, and shareholders' equity. Based on the data, we can see where the firm stands in the Indian market compared to its rivals and where it has room to grow. Management and investors can use the research's findings to better understand Aravind Ltd's financial situation and make future plans and decisions based on that knowledge.
USE OF AI IN RESUME SCREENING IN HR TECH AT ALGOHIRE TECHNOLOGIES
Artificial Intelligence (AI) has transformed HR processes by enhancing the efficiency and precision of candidate selection via resume screening. This study examines Algohire Technologies' implementation of AI-driven tools to expedite the hiring process, automate resume evaluation, and mitigate human bias. AI systems identify suitable candidates by analyzing extensive applicant data in relation to skill sets, experience, and job specifications. The study highlights both the benefits— such as expedited decision-making and enhanced talent alignment—and the challenges—such as algorithmic transparency and ethical quandaries. Research indicates that employing AI in resume screening can significantly enhance hiring processes while ensuring unbiased evaluations.
EMPLOYEE SATISFACTION AND ORGANIZATIONAL LOYALTY AT DLF LTD
In large organizations, long-term performance and a competitive advantage are contingent upon employee loyalty and contentment. This investigation investigates the correlation between employee satisfaction and organizational loyalty at DLF Ltd., a prominent Indian real estate organization. The survey is designed to evaluate the level of satisfaction that employees experience with the work environment, compensation, opportunities for career advancement, leadership support, and worklife balance. It also examines the impact of these factors on the loyalty of employees to the company. In order to gather primary data, a standardized questionnaire was distributed to employees from various departments and levels of employment. Secondary data was obtained from pertinent literature and company reports. In order to interpret the data, we implemented both descriptive and analytical research methodologies. The results suggest that the majority of DLF Ltd. employees are moderately to extremely satisfied, notably with respect to the company's reputation and job security. As a consequence, they become increasingly dedicated. Nevertheless, in order to increase the retention of employees, it is necessary to enhance other factors, including performance evaluation systems and opportunities for professional development.
DIVIDEND POLICIES IN INDIAN IT SECTOR AT WIPRO TECHNOLOGIES
Dividend policy is essential in the Indian IT sector for the purpose of influencing stakeholder value, communicating corporate stability, and shaping investor perception. This research examines the dividend policies of one of India's leading IT service providers in order to understand Wipro Technologies' approach to achieving a balance between shareholder returns and development prospects. Profitability, cash flow generation, and long-term investment requirements in technology, digital transformation, and global expansion are the determining factors for payouts. Wipro's dividend strategy is distinguished by its methodical yet prudent approach. The analysis demonstrates how Wipro maintains a balance between distributing dividends to investors on a regular basis and retaining earnings for market competitiveness, R&D expenses, and strategic acquisitions. The results indicate that Wipro's dividend policy is influenced by global demand cycles, industry dynamics, and regulatory frameworks, which serve as both corporate conservatism and growth orientation. This investigation contributes to the body of knowledge regarding the methods by which information technology (IT) companies, including Wipro, regulate dividend distribution to guarantee long-term value growth and maintain investor confidence.
INTEGRATING MACHINE LEARNING AND NETWORK ANALYSIS FOR FINANCIAL DISTRESS PREDICTION
Financial institutions need crisis prediction capabilities to mitigate risk and respond quickly. Traditional models sometimes run into problems due to the fact that unexpected data makes it impossible for many different financial variables to interact. This research introduces a method that integrates network analysis and machine learning to enhance the precision of predictions. To begin, we may determine which financial indicators are most important by using feature selection approaches. Next, machine learning methods such as XGBoost, Random Forest, and Neural Networks are used to categorize the data. Identifying patterns in the propagation of issues and financial connection modeling are two of the many applications of network analysis. When it comes to predicting future occurrences using real-world financial data, the hybrid method performs better than individual machine learning models. The results show that by combining network knowledge with statistical learning, financial problem estimates can be made more precise.
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