The ever-changing world of digital marketing makes it more important than ever to protect the integrity of brands. This study presents a novel method called "Enhanced Brand Safety Assurance through Cybersecurity Protocols" that combines three important algorithms: Ad Fraud Detection and Prevention, Real-time Behavioral Analysis, and Threat Intelligence Integration. The security of digital advertising, privacy of sensitive information, and customer confidence may all be assured with this framework's proactive threat detection and mitigation capabilities. A strong protection system against ever-changing cyber threats is created by combining the unique characteristics of each algorithm. To react to the constantly changing cybersecurity scene, the suggested solution uses adaptive thresholds, machine learning, and sophisticated analytics. When compared to more conventional approaches, the suggested solution outperforms them in terms of important efficacy indicators and practical implementation details. Experiments show that it can learn a lot, integrate AI, adapt to threats, monitor in real-time, and identify threats very well. Brands can protect themselves from the complex digital threat environment with this comprehensive and proactive cybersecurity solution that tackles the many problems associated with digital marketing.
Read MoreDoi: https://doi.org/10.54216/FinTech-I.030101
Vol. 3 Issue. 1 PP. 08-17, (2023)
In the dynamic and ever-changing world of artificial intelligence and technology, EmpowerHerAI offers a fresh approach to empowering women via innovation and leadership roles. Gender-Balanced Recruitment (GBR), the Inclusive Leadership Index (ILI), and the Mentorship Matching Algorithm (MMA) are the three algorithms that make up the suggested method, which offers a thorough, data-driven answer. ILI assesses and improves inclusive leadership practices, MMA maximizes individual mentoring, and GBR tackles gender gaps in hiring. With its dynamic and integrated architecture covering the full professional lifetime, the technique outshines previous methods. EmpowerHerAI is a game-changing program that promotes diversity and inclusion in all aspects of AI, including hiring, mentoring, and leadership roles, making it easier for women to break into these important industries.
Read MoreDoi: https://doi.org/10.54216/FinTech-I.030102
Vol. 3 Issue. 1 PP. 18-29, (2023)
In response to the evolving dynamics of corporate responsibility, this research explores the integration of Environmental, Social, and Governance (ESG) factors in sustainable business modeling. The study addresses the pressing need for a strategic framework by delving into the complex interplay between ESG considerations and risk score analysis. Leveraging a comprehensive dataset from S&P500 ESG Scores, our methodology employs the CATBoost algorithm, a categorical boosting technique, for predictive modeling. CATBoost's unique ability to handle categorical variables seamlessly is particularly advantageous for datasets with diverse data types, commonly encountered in ESG analysis. Additionally, we apply SHAP (Shapley additive explanations) methods to shed light on the influential factors shaping our model's predictions, enhancing interpretability. The results, presented through sector-wise ESG analyses, pairwise scatter plots, and distribution analyses, offer a granular understanding of ESG performance across various industries. Furthermore, the SHAP explanation methods provide insights into the relative impact of individual ESG factors on predictive outcomes. The findings not only contribute to the empirical understanding of sustainable business practices within the S&P500 but also offer practical insights for businesses seeking to enhance their ESG integration strategies.
Read MoreDoi: https://doi.org/10.54216/FinTech-I.030103
Vol. 3 Issue. 1 PP. 30-37, (2023)
This study explores the integration of Business Intelligence (BI) techniques to foster sustainability within the Financial Technology (Fintech) sector. The background elucidates the transformative evolution of the Fintech industry and the increasing imperative to align its practices with sustainable principles. The problem statement addresses the gap in understanding the intricate relationship between BI strategies and sustainability within Fintech enterprises. Employing a mixed-methods approach, including literature review synthesis and the application of the Autoregressive Integrated Moving Average (ARIMA) model, our methodology seeks to provide a systematic and replicable framework for empirical investigation. The results encompass additive and multiplicative summaries, detrended and deseasonalized analyses, and partial and autocorrelation plots, shedding light on critical temporal dynamics and patterns within the Fintech domain.
Read MoreDoi: https://doi.org/10.54216/FinTech-I.030104
Vol. 3 Issue. 1 PP. 38-44, (2023)
The assessment of Intelligent Transportation Systems (ITS) plays a vital role in understanding their effectiveness, efficiency, and impact on transportation networks. This abstract provides an overview of the criteria for assessing ITS and highlights the importance of a comprehensive and multidimensional approach. The requirements discussed include safety, efficiency, mobility, environmental impact, user satisfaction, cost-effectiveness, scalability and interoperability, data security and privacy, technological reliability and resilience, regulatory and policy compliance, equity and accessibility, system integration, innovation and future-readiness, stakeholder engagement, performance monitoring and evaluation, resilience and disaster preparedness, social and economic impact, and continuous improvement and adaptation. By considering these criteria, stakeholders can gain valuable insights into the performance and benefits of ITS, aiding in decision-making, policy development, and future planning for transportation systems. This study uses multi-criteria decision-making (MCDM) methodologies, such as the assessing attractiveness method and the weighted aggregated sum product assessment (WASPAS) method. The WASPAS method is used to rank the alternatives. We used 18 criteria and 8 alternatives to be organised. The sensitivity analysis is conducted to check the stability of the results.
Read MoreDoi: https://doi.org/10.54216/FinTech-I.030105
Vol. 3 Issue. 1 PP. 45-56, (2023)
