International Journal of Integrated Research and Practice
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AI in Fraud Detection: Transforming Risk Management in Banking
Get PDFTo train a fraud detection system, banks will find it challenging due to the increased opportunities and risks of the rapid digitalization of financial services. The rule-based systems, which perform well in structured deployments, have a tendency to fail to detect complex fraud patterns, which change and adapt to appearance over time based on changes in dynamic technology. This paper shall investigate the revolutionary process that Artificial Intelligence (AI) will revolutionize the fraud detection and risk management systems of banking. AI with the help of machine learning, natural language processing and deep learning algorithm detects anomalous behaviors in real-time, unlike traditional models, they are more accurate and highly adaptable. The article identifies the ability of AI-based solutions to mine large amounts of transactional and behavioral data to reveal latent correlations and to predict potential threats and reduct false positives that overload manual review. In addition, the introduction of AI into fraud detection systems increases the culture of proactive risk management, and its implementation enables financial institutions to foresee the emergence of attack vectors and undertake necessary adjustments to their strategy. The similar presentation evidences of applying AI in the combat against identity theft, transaction fraud, and cyber-facilitated financial crimes are available in the case studies and industry implementations. Other issues that can be addressed in the paper are involved with data privacy threats, algorithmic discrimination, compliance issues with laws and regulations, and the necessity of ethically transparent AI. Conclusively, this study explains that AI is not only a technology upgrade but rather a change of strategic approach to modern banking, transforming the backdrop of fraud prevention and institutional robustness. The capacity of AI to combine innovativeness and adherence makes it a set of tools that banks can use to secure their assets, win the confidence of customers, and guarantee sustainable development in the ever more complex financial ecosystem
Sustainability Reporting as a Competitive Tool in Modern Commerce
Get PDFThe modern realm of international business is becoming increasingly dynamic, so sustainability reporting has become much more than a compliance activity: this process can be viewed as a strategic instrument, which helps to determine the competitiveness and success in the long run. This paper examines the effect that sustainability reporting has on organizational performance, market positioning and stakeholder trust in the contemporary business environment. The paper presents theoretical consideration and empirical research of how the disclosure of the environmental-, social-, and governance (ESG) practices transparently will improve the firm reputation, intensifying responsible investment and customer loyalty. Through the research it is evident that the reason why other companies continue to embrace comprehensive sustainability reporting frameworks is not just to meet the requirements of regulatory agencies but it is also to create a distinction in a competitive market place in terms of alignment to ethical and ecological concerns by relevant stakeholders.
In the analysis, it becomes apparent that sustainability reporting generates quantifiable value by translating into cost-efficient operations and innovation as well as risk reductions. Businesses that embrace sustainability in their business practices have better resilience in their chains and flexibility during times of uncertainty in the market. Critically, the paper highlights the fact that reporting cannot become a symbolic meeting of the requirements without any substance and this is why it has strategic value to administer the information that can be credible, data-driven and use to steer decision-making and prove accountability.
Although the opportunities seem clear, its drawbacks of inadequate reporting standards, greenwashing, and resource limitation still become a handicap in the sustainability reporting process. The paper sums up that in contemporary business practice those companies which consider sustainability reporting as a core-competency instead of a supplementary exercise, are reaping sustainable competitive advantage. In this way, sustainability reporting becomes not only a reporting programme but a transformational tool that improves corporeal legitimacy, increases competitiveness, and helps to achieve corporate strategic objectives of sustainable development
AI-Powered Sentiment Analysis in Real-Time Brand Monitoring
Get PDFThe contemporary market is so competitive and it is necessary to have a real time feeling of consumer sentiment, which is critical to a functional brand management. The paper presents the application of artificial intelligence (AI) in sentiment analysis to monitor and determine the brand perception on different online platforms. The old ways of brand monitoring usually involve surveys conducted occasionally or a manual study that is not only time consuming but also subject to human error. The research will allow automatic organization and analysis of the views of consumers posted on social media, reviews, forums, and other web-based platforms by utilizing AI-based solutions, such as natural language processing (NLP) and machine learning algorithms, facilitating the recognition of the problem. The proposed framework captures real-time data streams and determines the sentiment polarity, which can be positive, negative or neutral and identifies the finer emotional trends that gives more insights into consumer attitudes. Moreover, the system applies predictive analytics so that it anticipates changes in brand perception so as to take proactive strategic interventions. How the AI sentiment analysis models can effectively, efficiently, and with scale process large masses of unstructured data is one of the primary areas of interest of the current study. It has been proven through experimental results that sentiment insights monitored by AI are highly precise and timely compared to the traditional methods. The observations point to the disruptive character of AI that can open an opportunity to marketers with the opportunity to make decisions on the basis of data, improve customer interactions, and safeguard brand image. The other issues that are dealt with in this study are dealing with sarcasm, situations that require a different kind of language and multilingual information, and how to make the model more challenging, suggesting how to address these challenges. Altogether, AI implementation in real-time brand surveillance is a new paradigm of marketing intelligence, and it can help organizations react to consumer feedback dynamically and retain a competitive advantage in an ever-digital market.
Climate Change Education Through Interactive Technologies
Get PDFThe issue of climate change education has become a vital aspect of the global sustainability strategy, but conventional teaching methods can hardly attract learners or provide them with a chance to comprehend the scientific challenges. Interactive technologies, including virtual reality (VR), augmented reality (AR), simulation platforms, serious games, and mobile learning apps, can be used to find new ways to enhance climate literacy by providing immersive, experiential, and learner-centered experiences. The paper will discuss the role of interactive technologies in improving climate change education through facilitating deeper cognitive learning, greater emotional attachment to the problems of climate change, and informed behaviour change. Based on the recent trends in digital pedagogy, the paper examines the pedagogical usefulness of immersion, real-time feedback, and experiential learning in enabling students to visualize the processes of climate, evaluate the effects of human actions, and test mitigation and adaptation keys. The capacity of interactive means to make abstract scientific knowledge available, personalize the learning processes of individuals of any age and establish cooperation within the similar virtual space (through) and game-based tasks are also highlighted in the paper. Despite the immense opportunities of the technologies, the paper also addresses the existing weaknesses of the technologies, including access gaps, technological infrastructural requirements, content validity, and requisite educator training and curriculum alignment. The paper supports the arguments with a view that interactive technologies can significantly contribute to increasing climate education through reviewing the current applications of the technology and their success in education when they are used as a part of evidence-based pedagogical practices. Last but not least, the paper emphasizes that the combination of scientific content and experiential digital solution can also contribute to climate literacy creation by empowering problem-solving and enabling students to play a more active role in sustainability activities. Results underscore the fact that more innovations, interdisciplinary collaboration, and unrestricted access to technology are required in order to be certain that interactive climate education can contribute to global climate action
Edge AI in IoT Systems: Reducing Latency and Power Usage
Get PDFThe fast proliferation of the Internet of Things (IoT) systems has increased the need to process real-time data, make low-latency decisions, and design systems with low energy costs. Traditional cloud-based architectures do not usually satisfy these demands because of overburdening of the network, high transmission delays, and power consumption. In this regard, Edge Artificial Intelligence (Edge AI) has been implemented as a revolutionary solution and allows processing data and making intelligent decisions that are closer to the source of data. The role of Edge AI in the IoT systems is considered in this research paper with particular reference to its properties of latency reduction and power efficiency optimization.
The paper will examine the architectural change experienced as centralized cloud computing to distributed edge-based intelligence, the importance of on-device and near-device inference in eliminating the need to transmit data continuously. Edge AI can greatly reduce the response time because it processes data on the device, and is therefore well suited to applications with strong requirements on latency, including smart healthcare monitoring, autonomous systems, industrial automation, and smart cities. In addition, the paper examines the role of lightweight AI models, model compression methods, and hardware accelerators as an opportunity to decrease the energy consumption and increase the battery life of devices.
Incorporating both the literature analysis of the field and practical implementation, this paper defines the major challenges related to Edge AI application, such as a lack of computational resources, scalability of models, security, and interoperability of systems. The developing solutions, including federated learning, adaptive model optimization, and energy-aware scheduling strategies are also highlighted in the discussion. Altogether, the results indicate that Edge AI is a possible and sustainable solution when it comes to improving the performance of IoT through the simultaneous mitigation of the latency and the efficiency of power usage. Finally, the paper ends with future directions of research that are aimed at advancing the concept of integrating Edge AI in future IoT systems
The Evolution of the English Language in the Digital Era
Get PDFEnglish has changed dramatically in the past few decades where the advent of digital communication has played a major role in the change. This paper will examine the developments and trend of English in digital age, the influence of technology and social media, online platforms on language use, grammar; vocabulary and communication standards. Examples of trends identified by the study include use of internet slang, abbreviations, use of emoji, and the influence of spelling and syntax by autocorrect and predictive text tools. The study points to the fact that all these changes have caused the emergence of a new type of language, that has aligned itself to the requirements of fast and effective communication. In the review of the literature, the analysis of the existing trends in the domain of digital communication, and insights into the way digital tools are transforming linguistic creativity, the research presents a contribution towards a more extensive comprehension of the role of technology in transformation of English language in daily life
The Role of Emotional Intelligence in Leadership Success
Get PDFIn its current highly dynamic and complex organization environment, Emotional Intelligence (EI) has been found as helpful aspect in successful leadership. It includes the skills of identifying, comprehending and curing oneself as well as the emotions of the other people. The major part of this paper is concerned with how EI contributes to successful leadership through case studies of the main variables of this topic which involve self-regulation, self-awareness, empathy, motivation and social skills etc and their helpfulness in the process of successful leadership. The paper explains the connection between EI on the one hand and the outcomes of leadership like, decision making process, solving conflict situations, group work and employees reaction to lead on the other hand. The consideration of the available literature takes over the fact that with the emotionally intelligent leaders, one will have a steelier chance of solving challenges in the new future and galvanizing followers along and establishment of a good organizational culture. The paper also talks of the development of the EI and the implications it has to the leadership development exercises. Based on this discussion, the paper elevated role of EI in leading success in any business environments
Enhancing Post-Harvest Management and Improving Market Access for Agricultural Sustainability
Get PDFThis chapter provides the basic knowledge of post harvesting and management part of it also. The new technologies used or new technique used for post harvesting and also for market reach or could be said as market access of agriculture products. These two topics comes hand in hand as post-harvest management covers the transportation or the access to the market for the sustainable agricultural products. As we all understand, that agriculture is the backbone of our country (sectors contribution to India’s GDP is approx. 18 to 19 percent, not only that it is also the supports the livelihood of India about 42 percent approx. and these numbers have increased time to time and the estimations to the future for the contribution to country’s growth is also increasing). Not only the agriculture creates the direct impact but the indirect impact on the people who are working in the area of harvesting and for agriculture sector. Generally, there are drawbacks in everything, so in the process of harvesting. Mainly, there are three stages to it first is simply the harvesting of the product (which is also pre harvesting) and then there is post harvesting (here comes the whole management part of the products harvested and the managing part is different for every product category) and the third is value addition products which will discussed further, so the drawback could lie in any stage, examples the harvesting is done at wrong time or losses mainly occurs in post management where washing, cleaning, wrapping, transporting, etc. are not done properly. This is hindering the growth of the sector and the losses are also impacting the lives of the people involved in it
Adaptive Leadership in the Era of Remote Work: A Behavioral Study
Get PDFThe pandemic caused by COVID-19 accelerated the trend of working remotely worldwide, and the trend is facilitated by the modern advancement of digital communication methods. This transformation has profoundly impacted the organizational set-ups, teaming and leadership requirements. This paper examines how adaptive leadership in an organization aids in combating the behavioral, technological and cultural aspects of remote work. The study is based on behavioral science and leadership theory insights and examines how leaders modify their communication rules, decision-making, motivational practices to maintain a high level of productivity, trust, and employee engagement in distributed teams. The research applied the mixed-methods approach, and collected data based on structured surveys and structured interviews with 150 managers and 300 employees of different industries within hybrid and fully remote configurations. The results indicate that adaptive leaders, who are flexible, empathetic, and willing to receive commendations, promote team cohesion and performance most of all. Qualitative analysis reiterates that proactive building of relationships, inclusive decision making, and strategically applied collaborative technologies are beneficial to keep the level of trust, and lower feelings of loneliness among the team members. Among the key behavior skills found in the study include emotional intelligence, resilience, and situational awareness, which assist the leaders to be responsive to fluctuating work requirements and a variety of employee needs. It can also reveal that companies investing in leadership programs on adaptive skills have a higher rate of employee retention and experience overall increased satisfaction in remote employees. Amalgamating practical evidences with the theory of leadership, this study gives managers and HR professionals some useful hints on how to promote adaptive leadership in remote settings. The results emphasize the necessity and significance of continuous learning and flexibilities in behaviors as the major leadership traits in the emerging work environmen
Integrating AI into Strategic Management: Balancing Innovation and Ethics
Get PDFStrategic management is taking a new twist because of the high-paced advancement of artificial intelligence (AI) that provides businesses with potent means to improve the decision-making process, business optimization, and innovation. Although the AI driven systems are likely to result in high efficiency and competitive edge, other issues such as transparency, accountability and equity are also becoming ethical issues with the rise of the AI driven systems. These two features of innovation and ethics are addressed in this paper in regards to the implementation of AI in strategic management practices. The paper will present the introduction of the role of the AI in helping to create the data-driven insights, predictive models and adaptive strategies that will enable firms to be more responsive to the dynamics of the markets by using available literature and case studies. Simultaneously, it also indicates the possible threats like the issue of algorithmic bias, intrusion to privacy and loss of human judgment in making critical decisions. In the discussion, one could say that AI in strategic terms is not only so efficient as the technological capability it possesses, but also the governance mechanisms that it is implemented in. One of the recommendations made in this paper is to shift the ethical aspect to the AI implementation process by proposing a moderate position that would allow the innovation to proceed within the social and organizational obligation. As the measures that might assist in decreasing the risks and applying the transformative potential of AI, the introduction of ethic review mechanisms, the improved interaction with the stakeholders, and the work of an interdisciplinary team are suggested. With such a strategy as making the ethics a primary factor in the innovation process and not a side-whisker limitation, the organization will be able to enhance the trust, legitimacy, and sustainability of the organization over the long run. Lastly, the study concludes that the introduction of AI into the strategy management cannot be considered as a technical change but a paradigm change that needs to be approached with care in terms of opportunities and the demerits. This equilibrium is needed to ensure the full potential of AI is realized and the values based on which responsible leadership and governance are grounded is not at risk