Is AI making inroads into the finance sector by displacing humans? Artificial intelligence (AI) is a science and engineering field which focuses on the computational analysis of intelligent behaviour and the ensuing development of intelligent machines (Kayid 2020). In the financial services sector, machine learning and artificial intelligence (AI) are being quickly adopted for a variety of applications. As a result, it's crucial to start thinking about how such uses can affect financial stability
AI has shown a huge improvement in fraud detection and uncovering abnormal behaviour to lower financial crime. Furthermore, it showed that larger benefits also come with greater risks and obstacles with uses of AI like Transparency, responsibility, and adherence. Henceforth, there are already several "use cases" for AI and machine learning. The adoption of these use cases has been influenced by both demand and supply variables, including profitability requirements, business competitiveness, and regulatory requirements, as well as technology advancements, the availability of financial sector data, and infrastructure. Several examples of current and future applications for AI and machine learning
In addition to helping corporate treasurers, accountants, and investors pursue long-term growth, AI may also lessen financial crime by improving fraud detection and spotting anomalous conduct. furthermore, The COVID-19 catastrophe has accelerated and heightened the digitalization trend, including the application of AI, which was already being seen before the pandemic. Growing AI usage is now achievable thanks to the wealth of data and processing power available.
Therefore, growing AI usage is visible in domains like;
Algo trading; AI creates an advantage for everyone, not just companies, in financial trading by mining crucial data and providing affordable, easily accessible instruments. AI-driven investment judgments will be rational, precise, and impartial. AI will be included in the next generation of trading algorithms, enabling them to gain knowledge from the trading account's thousands of historical orders. Machine learning techniques are used to accomplish this by identifying patterns in the data and making predictions.
Conclusion
This covid 19 pandemic lead to the progressive use of AI in the financial sector which results in positive and negative effects on the financial sector with benefits like showing massive growth in financial segments like business accountants, analysts, treasurers, and investors toward the case of long-term growth whereas Moreover, the potential benefits associated with AI in the financial sector and the firm challenges that should predictable and managed accordingly, However, the research on AI in finance is still an under-researched area with significant potential to advance understanding of this goal.
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