Sports Analytics Weekly by kubeia.io - 35/2025
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💰 Quantitative Finance
Financial AI in Practice - Taehun Kim
manning.com - Taehun Kim
Modern finance involves crunching more data that any single human can efficiently and effectively process. Sophisticated machine learning models and applications have dominated the high-end fintech industry for decades. Now that extraordinarily powerful AI technologies are readily available to everyone, you can take advantage of deep learning, graph analytics, and large language models (LLMs) to create your own custom finance applications.
In Financial AI in Practice you’ll learn how to:
- Build end-to-end AI pipelines for credit scoring and fraud detection
- Design hybrid strategies combining ML models and LLM-driven insights
- Expose complex fraud using graph analytics and network detection
- Architect secure, compliant generative AI with RAG techniques
- Navigate AI business strategy, ROI, and stakeholder alignment