In today's dynamic and complex financial landscape, accurate and reliable financial forecasting is crucial for businesses to make informed decisions, manage risks, and achieve long-term success. Artificial intelligence (AI) has emerged as a transformative force in the financial industry, offering a powerful set of tools and techniques for enhancing financial forecasting capabilities. This chapter delves into the realm of AI-driven financial forecasting, exploring the role of soft computing techniques in harnessing the power of AI for data-driven financial insights. Soft computing, a branch of computational intelligence, encompasses a suite of methodologies that mimic human reasoning and learning processes to handle complex and uncertain data. A comprehensive overview of AI-driven financial forecasting, highlighting the strengths and applications of soft computing techniques in this domain, has been envisaged beginning by introducing the fundamental concepts of AI in financial forecasting, including data pre-processing, feature selection, and model evaluation. It then delves into the specific applications of soft computing techniques in financial forecasting, exploring their use in various forecasting tasks, such as stock price prediction, exchange rate forecasting, and credit risk assessment. The transformative potential of AI-driven financial forecasting, empowered by the power of soft computing techniques, have also been underscored. The effectiveness of soft computing techniques has been shown through real-world examples and case studies, demonstrating their ability to outperform traditional forecasting methods in various financial scenarios. It also discusses the challenges and limitations of using AI in financial forecasting, emphasizing the importance of data quality, model interpretability, and ethical considerations.

The proliferation of online shopping has led to a surge in product reviews, providing valuable information to consumers. However, the overwhelming volume and subjective nature of these reviews make it difficult to assess product performance accurately. We propose a machine learning-based system that extracts sentiment from online reviews to address this challenge. Our system effectively identifies positive, negative, and neutral sentiments and classifies sentiment for specific product aspects. By offering concise and clear information, our system empowers consumers to make informed purchasing decisions and assists manufacturers in improving their products. Our proposed LSTMCNN model, trained on a dataset of 62,563 reviews, achieved impressive results with an accuracy of 95.84%, precision of 95.6% and recall of 95.8%. This significantly outperforms existing models, demonstrating the effectiveness of our approach. Moving forward, we aim to further enhance the accuracy of our system, track sentiment changes over time, and develop personalized product recommendations. These advancements will continue to increase the value and utility of online reviews in e-commerce.

The worldwide web has evolved significantly and driven tremendous change over the past few Decades. Skincare, on the other hand, the desire to look good and live a longer life has always been a natural goal felt by Indonesian young adults, regardless of their gender, and perfectly flawless skin is still considered a vital part of beauty. The paper focuses at how social media marketing affects customer intentions to buy organic cosmetic products. A survey questionnaire that was given to a sample of 135 respondents who had used organic cosmetics served as the study’s quantitative research method. The results showed that social media marketing initiatives had a favourable influence on consumers’ inclinations to buy organic cosmetics. Particularly, social media marketing significantly affects how clients view the quality of organic cosmetic items, how they feel about the brand, and how much they trust the company. The study suggests that businesses concentrate on social media marketing to expand their audience and increase the sales of organic cosmetics products.

Over the past few years, workplace diversity and inclusion initiatives have grown significantly in prominence. These initiatives can benefit firms in many ways, including increased employee happiness, more creativity and innovation, and greater financial outcomes. The current study surveyed 125 employees from a variety of firms to examine the relationship between initiatives to promote diversity and inclusion and productive workplace behavior. Employees who worked for companies that supported diversity reported greater levels of engagement, communication, organizational commitment, and teamwork. The findings highlight the necessity for businesses to implement and uphold such policies in order to promote a more positive and healthy work environment. They also demonstrate that diversity and inclusion programs have a positive impact on employee attitudes and behaviors.

Role of financial system makes a country strong and capable to stand out in this competitiveworld financial inclusion become key development parameter to reduce poverty and achieve financial milestones. It catalyzes development activates specially in developing country. This paper studies the role of urban cooperative banks to fill up the gap to access for finance, financial literacy to afford cheap finance for weaker sections of society. Government leaders of developing country making vast effort to expand financial inclusion network by implementing regulatory framework in countries. Financial inclusion should be implemented in grassroots bases so that rural development can be happening in India. Being local in the nature and minimal operating cost and labor cost give an advantageous our economy to spread development on the grassroots level through cooperative banks. Cooperative banking sector capture Attention of economic policy maker when there is burning issue of inclusive growth after the World Bank Report. No doubt in India currently there is large gap in demand and supply side of finance at affordable cost. Urban cooperative banks achieved significantly growth in terms of size, deposits, lending in Urban areas which makes urban cooperative banks as strong Pillar of financial inclusion apart from commercial banks.