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Episode 26 — AI in Finance
Manage episode 505486177 series 3689029
Jason Edwards에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Jason Edwards 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Finance has always been data-driven, making it a natural fit for AI. In this episode, we cover early uses like algorithmic trading and credit scoring before moving into today’s advanced applications. Fraud detection systems flag suspicious transactions, while risk models forecast credit and market exposure. Personalized financial services, robo-advisors, and chatbots make customer interaction faster and more tailored. On the institutional side, portfolio optimization and insurance underwriting are being reshaped by AI-driven prediction.
Yet finance also demonstrates the risks of AI adoption. Algorithmic trading can increase volatility, lending models may replicate bias, and data privacy must be tightly guarded. Regulatory technology (RegTech) is one response, using AI to monitor compliance and detect suspicious activity. Global adoption varies widely, with emerging markets leveraging AI for financial inclusion. This episode helps listeners understand how AI not only changes how money is managed but also raises ethical and systemic questions about stability and fairness. Produced by BareMetalCyber.com, where you’ll find more cyber prepcasts, books, and information to strengthen your certification path.
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