Integrating Deep Learning: Humans and Machines Managing Financial Risk in Oil & Gas Industry

• Aguinaldo Júnio Flor UFPE
• Adiel T. de Almeida Filho UFPE
• Luiz Antônio de Almeida Neto UFRPE

DOI: https://doi.org/10.5753/eniac.2025.12299

Resumo

Financial decision-making in large industries is increasingly complex due to market volatility and high capital exposure, requiring intelligent tools for strategic planning. This study proposes a Deep Learning framework integrated with Human-Computer Interaction (HCI) techniques to forecast oil prices and mitigate financial risk. Four models were evaluated with hyperparameter optimization on real-world datasets. A key contribution is the incorporation of graphical result visualization, enhancing user interpretation and decision-making. The findings underscore the value of AI-driven analytics and interactive interfaces in developing transparent financial decision support systems.

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