Knowledge Automation in Banking Sector: Innovative Changes, Benefits and Future Prespectives

Abstract The banking sector is experiencing a paradigm shift with the integration of knowledge automation, transforming operational efficiency and decision-making. This theoretical research paper explores knowledge automation in banking by analysing emerging trends, challenges, and technological innovations. Key areas of focus include artificial intelligence (AI), robotic process automation (RPA), block chain, big data analytics, and cybersecurity. A literature review highlights prior research on banking knowledge automation and its implications for financial institutions. The study also examines the objectives of implementing automation, the benefits of technological advancements, and future perspectives on banking automation. Diagrams and visual models illustrate the transformation of banking knowledge processes. The paper concludes that banks must strategically integrate knowledge automation to enhance efficiency, security, and customer experience while overcoming challenges such as regulatory compliance and workforce adaptation.