This study discovers the complex interactions that exist between social media influencers (Financial Influencers) and consumers’ financial behaviour in the modern digital world, stressing the imperative role that influencers play in influencing financial planning & investing decisions of the followers. The research studies how influencers affect consumers’ financial behaviour using the survey method. A total of 100 responses were collected and analysed. It underlines authenticity, reliability & trust as key elements in building relationships between influencers and their followers. The features like transparency and honesty, the sustainability of influencer marketing in the face of changing social media trends, and the possibility of influencer fatigue are some of the key points that were studied. This study adds to the knowledge already in existence in the ever-changing world of digital marketing in the twenty-first century.

The practice of medicine is changing with the development of new Artificial Intelligence (AI) methods of machine learning. Coupled with rapid improvements in computer processing, these AI-based systems are already improving the accuracy and efficiency of diagnosis and treatment across various specializations. The increasing focus of AI in radiology has led to some experts suggesting that someday AI may even replace radiologists. Our analysis reveals that AI has improved diagnostic accuracy, streamlined clinical workflows, and enhanced patient outcomes. However, we also address concerns regarding data privacy, algorithmic bias, and the need for regulatory frameworks. Ultimately, this paper demonstrates AI's transformative potential in medical science and emphasizes the importance of responsible AI development and deployment. To that end this paper researches the role of AI-based systems in performing medical work in specializations including radiology, pathology, ophthalmology, and cardiology. It concludes that AI-based systems will augment physicians and are unlikely to replace the traditional physician–patient relationship.

AI is the backbone of innovation in modern computing, unlocking value for individuals and businesses. Deep learning, a further specialization, utilizes artificial neural networks with multiple layers to process information, mimicking the structure and function of the human brain. Through continuous learning and adaptation. AI in accounting refers to the use of artificial intelligence (AI) technologies, such as machine learning algorithms and natural language processing, to automate and enhance various accounting processes. Enterprises that jump on the digital transformation train by adopting AI have the advantage as they can leverage AI to all aspects of accounting, including improved operational efficiency, reduced costs. No doubt, the stakeholders of an enterprise have recognized the value of adopting AI-powered systems and applications. However, it also requires a shift in the mindset of more than the CFOs. Sufficient training and skill development techniques to be implemented by the organization so that these can go with the existing workforce.

This research explores the role of mathematics in data encryption, a cornerstone of modern cybersecurity. It delves into encryption techniques, algorithms, and their real-world applications in securing sensitive information. The paper focuses on the mathematical principles behind cryptographic methods such as symmetric and asymmetric encryption, number theory, and algorithm design. It traces the evolution of encryption technologies from early methods like the Caesar cipher to modern algorithms like RSA and AES, illustrating how they protect digital data. The study also highlights challenges faced by encryption, including computational limits, the potential impact of quantum computing, and vulnerabilities. These challenges stress the importance of ongoing research in encryption technologies to address emerging threats. Ultimately, the paper emphasizes the crucial role of mathematics in developing encryption solutions that ensure privacy and security in the digital age. It underscores the need for continuous advancements to stay ahead of evolving cyber threats.

Artificial Intelligence (AI) is revolutionizing investment strategies worldwide, particularly systematic investment planning (SIP). This research paper focuses on analysing the usage of AI-driven tools in SIP and their impact on the financial behaviours and outcomes of youngsters. The paper evaluates the awareness, adoption rates, perceived benefits, and challenges faced by young investors while employing AI in SIP. Systematic investment planning has a major impact on youngsters due to overdependence of AI tools in SIP, almost all the youngster respondents are using AI tools for SIP & very few respondents are not sure or unaware about the AI based investment planning. Incorporating AI into SIP involves using advanced algorithms and machine learning models to optimize investment strategies. Due to AI tools in SIP it has influenced investment decisions of investors & most of the investors used AI tools to reduce risk. In the era of AI almost all the youngsters are using AI in SIP to enhance the precision of investment decisions.

Insurancefraud is a fast-growing menace worldwide, which has enormous implications for financial stability and trust. In the rapidly urbanizing region of Thane in India, the issue has gained prominence due to growing insurance penetration and complex schemes targeting investors. Advanced technologies, such as AI, blockchain, big data analytics, and biometric verification, have surfaced as potential tools to defeat fraudsters. This study focuses on the use of these technologies in Thane's insurance sector, indicating the advantages and limitations and its effect on curbing fraudulent practices. Using a comprehensive review of literature and case studies, this study will seek to present actionable insights to stakeholders.

Artificial Intelligence (AI) is revolutionizing the traditional marketing mix by enabling businesses to optimize their strategies across the 4Ps—Product, Price, Place, and Promotion. This study explores how AI-driven technologies enhance product innovation, dynamic pricing, supply chain efficiency, and personalized promotional campaigns. By leveraging machine learning, big data analytics, and predictive modelling, AI empowers organizations to deliver highly tailored consumer experiences while achieving operational efficiency. The research also examines the challenges associated with AI adoption, including data privacy concerns, ethical dilemmas, and implementation barriers, particularly for small and medium enterprises. Furthermore, it investigates consumer perceptions of AI-driven marketing initiatives and their influence on trust, engagement, and purchase decisions. This research contributes to the growing body of knowledge on AI's transformative potential, highlighting both opportunities and challenges in reshaping the marketing landscape.

Artificial Intelligence (AI) is transforming industries and reshaping societal norms. This study explores the level of awareness and acceptance of AI among the youth, examining their perceptions, readiness for adoption, and ethical concerns. The findings aim to provide insights into how young people view AI's role in shaping the future and youth are aware of AI and ready to get knowledge. The study reveals that while youth are generally aware of AI applications, their acceptance is contingent upon addressing ethical concerns and enhancing their understanding of AI technologies

This research paper examines how blockchain technology is revolutionizing payroll and employee records in Human Resource Management (HRM). Blockchain’s secure, transparent, and decentralized nature enhances data integrity, reduces fraud, and ensures efficient payroll processing. It also simplifies employee record management by creating tamper-proof digital identities. The paper highlights the benefits of automation through smart contracts and the potential for greater employee data control. Challenges to adoption are discussed, alongside the transformative impact blockchain can have on HR practices in the future. blockchain framework that is approved for use with payroll systems and is encrypted using the high-efficiency encryption algorithm to ensure its high security will need to be designed and evaluated.

This study aims to evaluate the impact of educational technology and e-learning on student learning outcomes. With the increasing integration of digital tools and online platforms in education, it becomes essential to understand how these technologies influence students' academic performance, engagement, and overall learning experience. The research will focus on analyzing various technological interventions, such as online courses, virtual classrooms, and interactive learning platforms, and assess their effectiveness in improving knowledge retention, skill development, and critical thinking. By examining both qualitative and quantitative data, the study intends to provide insights into the role of e-learning in enhancing educational outcomes and inform future strategies for integrating technology into educational systems.

Artificial Intelligence (AI) has significantly influenced artistic creation, blending creativity with computational intelligence. This paper examines AI’s role in redefining artistic practices, its applications across various art forms, and the challenges and ethical concerns it presents. Through examples and case studies, we explore AI’s transformative impact on the creative process and its implications for the future of art.

Industry 4.0 represents the fourth industrial revolution, marked by the integration of advanced digital technologies, including artificial intelligence (AI), big data, and automation, into manufacturing processes. AI plays a central role in enabling smarter decision-making, predictive maintenance, enhanced process optimization, and automated workflows, ushering in a new era of efficiency and productivity. This paper aims to explore the transformative impact of AI in Industry 4.0, particularly focusing on its journey from traditional automation to sophisticated intelligent decision-making systems. Through the analysis of secondary data, the paper outlines the key areas where AI is revolutionizing industry, highlights the challenges faced, and presents future opportunities for further integration of AI within the industrial landscape.

A true Marketing Decision Support System is more than just a collection of tools—it’s a strategic asset that empowers businesses to make smarter, data-driven management decisions. At MAKE Digital Group, we specialize in creating customized MDSS solutions that align with your business goals and drive measurable results. We’re here to support your business with a methodology and intelligent systems to inform your marketing decision making with ease. AI achieves the potential that clearly exists depending on businesses coming to understand the need for a coordinated and strategic approach to marketing AI implementation. It should be clear enough how the different use cases I have mentioned above can be us

The rollout of 5G technology promises to drastically transform the telecommunications landscape, offering unprecedented speeds, low latency, and the potential to connect billions of devices simultaneously. This progress is expected to significantly impact how data is managed, stored, and processed. As 5G introduces a new era of connectivity, organizations are grappling with the challenges of managing exponentially increasing data volumes, which require enhanced data management strategies. The study investigates how data management practices are evolving with the adoption of 5G, highlighting the role of key technologies like edge computing, artificial intelligence (AI), machine learning (ML), and cloud computing in addressing these challenges. The research explores the impact of these technologies on data storage, processing, security, and governance, aiming to propose future strategies for effective data management in a hyper-connected world.

Advanced technology in marketing, also known as online marketing or digital marketing, refers to the use of the internet and digital platforms to promote and sell products and services. It encompasses a wide range of activities, including email marketing, social media marketing, search engine optimization (SEO), content marketing, and online advertising. The rise of digital technologies has fundamentally transformed traditional marketing practices, offering businesses new ways to engage with customers, build brand awareness, and drive sales. Advanced technology in marketing allows for personalized, targeted communication, enabling businesses to reach a global audience with a relatively low investment. This abstract explores the key components of e-marketing, its evolution, benefits, challenges, and the future trends shaping the digital marketing landscape

In the digital age, providing customers with a personalized shopping experience has become essential for businesses seeking to enhance customer satisfaction, boost sales, and increase brand loyalty. Advances in artificial intelligence (AI), machine learning (ML), and big data analytics have made it possible for retailers to offer dynamic, personalized experiences through technologies like recommendation engines and dynamic pricing.This document explores how these technologies work together to create an optimized, personalized shopping experience, discusses the benefits and challenges, and offers practical examples of how companies can implement them to increase customer engagement and business success.

The recruitment landscape has undergone a significant transformation with the advent of Artificial Intelligence (AI)-driven recruitment tools. These tools aim to streamline hiring processes, improve candidate quality, and reduce time-to-hire. This study investigates the impact of AI-driven recruitment tools on hiring processes, focusing on efficiency, candidate quality, and cost savings. The results indicate that AI-driven recruitment tools can significantly improve hiring processes, reducing time-to-hire by 30%, enhancing candidate quality by 25%, and yielding cost savings of up to 20%. However, the study also highlights the need for careful implementation, ongoing monitoring, and continuous improvement to maximize the benefits of these AI- driven recruitment tools. The findings of this study contribute to the existing literature on AI-driven recruitment and provide valuable insights for HR professionals, recruiters, and organizations seeking to leverage these tools to enhance their hiring processes.

This innovative window-mounted solar charger harnesses solar energy to charge electronic devices, reducing reliance on non-renewable energy sources. The device consists of a compact, transparent solar panel integrated into a window-mounted frame, allowing for seamless installation on existing windows. Advanced power management and energy storage capabilities ensure efficient energy harvesting and storage. This sustainable solution offers a convenient, eco-friendly alternative for charging devices, ideal for homes, offices, and public spaces. By leveraging untapped solar energy, this window-mounted solar charger promotes renewable energy adoption, reducing carbon footprints and supporting a greener future.

Artificial Intelligence (AI) has emerged as a transformative tool in cybersecurity, offering advanced capabilities for threat detection, prevention, and response. This paper explores the role of AI in enhancing cybersecurity frameworks, focusing on its ability to detect complex attack patterns, mitigate vulnerabilities, and provide proactive defenses. Key challenges, including ethical considerations, adversarial AI, and data privacy, are also discussed, along with future directions for integrating AI-driven solutions in cybersecurity ecosystems.

Mosquito-borne diseases remain a major global health concern, driving the demand for safe and sustainable mosquito repellent solutions. This study focuses on developing and evaluating an incense cone infused with orange peel (Citrus sinensis) extract as a natural mosquito repellent. Orange peel, a byproduct rich in essential oils like limonene, exhibits strong insect-repellent properties. The research involves the extraction of essential oils through steam distillation and their incorporation into incense cones made from biodegradable materials. The effectiveness of the orange peel incense cones is tested against common mosquito species in controlled environments. Results demonstrate that the cones provide significant repellent activity, reducing mosquito presence effectively during use. This eco-friendly product not only repurposes agricultural waste but also offers a safer alternative to synthetic chemical repellents. Further studies are recommended to optimize the formulation, assess long-term safety, and evaluate field performance under varying environmental conditions.

Blockchain technology, widely known for its application in cryptocurrencies, has increasingly found its way into marketing, especially in fostering transparency and building trust. This paper explores the potential of blockchain to transform marketing practices by offering a decentralized, transparent, and secure platform for transactions and data sharing. It highlights how blockchain can address critical challenges in marketing, such as data privacy, fraud prevention, and supply chain transparency. Using secondary data sources, including academic articles, market reports, and case studies, this study investigates the application of blockchain in marketing, particularly in areas like advertising, customer data management, and brand integrity. The findings suggest that blockchain can significantly enhance consumer trust, improve brand credibility, and reduce operational inefficiencies. However, the widespread adoption of blockchain in marketing faces challenges like scalability issues, regulatory hurdles, and consumer awareness. The paper concludes by discussing the future potential of blockchain in revolutionizing the marketing industry and fostering a more secure, transparent, and consumer-focused market.

Understanding the difference between artificial intelligence (AI) and human cognition is critical for advancing both fields and improving their integration in real-world applications. While AI systems are designed to mimic certain aspects of human intelligence, such as learning, problem-solving, and decision-making, they fundamentally differ in their mechanisms and capabilities. Humans, on the other hand, possess consciousness, self-awareness, and emotional intelligence, which influence their decision-making and problem-solving processes. Understanding the differences between AI and human cognition helps highlight the strengths and limitations of both. While AI excels at processing large datasets and performing repetitive tasks at high speed, human cognition remains unparalleled in areas like creativity, empathy, and ethical reasoning.