Predictive Analytics: Mitigating Risks in Fintech Products with AI
Authors:-Chintamani Bagwe
Abstract-In Fintech, predictive analytics play an important role in dealing with increasing complexity in the financial sphere, radically altering risk assessment and hence the nature of financial choices. This paper examines the interaction between cutting-edge predictive analytics and artificial intelligence in promoting corporate risk assessment, fraud detection, and operational productivity in solution providers. It discusses a number of predictive analytics models, such as time set classification and neural networks and uses them to think through market trends, customer clustering behaviour, and anomaly identification. The identification links are then used in many financial service scenarios to consider their impact on risk solvency development and customer experience and to predict market patterns. The paper looks at difficulties in data administration, illustration, and ethics, and suggests a solid data management approach and an ethical concept. It concludes with thoughts and ideas that would lead to more risk awareness and AI-driven decisions in the future, and highlights the predicted growth in competitively elegant predictive forecasting and situation control. The sense-the essay makes is to remind Fintech managers and specialists of the importance of keeping their learning up-to-date to take full advantage of the most recent advances in artificial intelligence and predictive analytics to make sensible decisions and policy thinking in their career.
