AI-Powered Due Diligence in Private Equity: Automated Analysis of Financial, Legal, and Business Intelligence Data Using NLP and Deep Learning
Keywords:
Private Equity Due Diligence; Financial Intelligence; Natural Language Processing; FinBERT; Deep Learning; Explainable Artificial Intelligence; Investment Risk Prediction; Business Intelligence Analytics; Transformer Models; Automated Enterprise IntelligenceAbstract
During enterprise due diligence practices, private equity firms are turning to mass volumes of financial andbusiness intelligence data to assess acquisition opportunities and pinpoint enterprise risks. However, traditionaldue diligence methods are still primarily manual, are time-consuming, have inconsistent data interpretation and lack scale when processing unstructured finance data. Based on these elements, the following research proposesa due diligence framework using financial news intelligence and automated investment risk evaluation for AI
References
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