Authors: Associate Professor Dr. Manisha Kaushal Arora
Abstract: The banking industry is undergoing a transformation thanks to artificial intelligence (AI), which is changing operational environments and conventional procedures. This study looks at the main variables affecting AI's ability to propel efficiency, innovation, and customer-focused financial services solutions. AI helps organisations make better decisions, identify fraud, and maximise risk management by automating repetitive operations and enabling predictive analytics. However, organisational, cultural, technological, and regulatory factors influence its adoption. AI's influence in finance is made possible by technological developments like big data analytics, machine learning, and natural language processing. These developments provide improved portfolio management, individualised financial services, and algorithmic trading. The efficiency of AI integration is determined by organisational elements, including as leadership commitment, investment in AI infrastructure, and staff skill development, which are equally significant. Regulatory frameworks that prioritise accountability, transparency, and data privacy have a big impact on the adoption of AI. The pace and extent of AI deployment are being shaped by ethical issues, which include resolving algorithmic bias and guaranteeing justice. These factors are increasingly becoming essential to legal requirements. Furthermore, public acceptability is important since worries about data security, employment displacement, and ethical quandaries frequently erode faith in AI systems. AI presents financial institutions with revolutionary prospects in spite of these obstacles. It lowers expenses, improves client interaction, and stimulates creativity. Its potential is further highlighted by emerging trends like the emergence of finance companies and the integration of AI with blockchain. In order to fully realise AI's promise, this article emphasises how crucial it is to solve obstacles while seizing possibilities. To successfully manage AI-driven transformation, financial institutions need to take a strategic approach to investment, regulatory compliance, and stakeholder engagement. The finance industry can promote innovation, drive sustainable growth, and create a more robust and inclusive financial ecosystem by comprehending the elements affecting AI adoption.
