Finance
Deep Learning in Finance Top 11 Use Cases in '25
Based on our analysis of deep learning applications in finance, we’ve identified 11 key use cases where AI-driven models are making an impact. These examples are drawn from real-world implementations across financial institutions and cover areas such as fraud detection, risk assessment, and investment strategies. Top 11 Use Cases of Deep Learning in Finance 1.
Top 9 RPA Use Cases & Examples in Finance in 2025
Robotic Process Automation (RPA) is bots executing repetitive business tasks across applications and systems. RPA has various use cases. In this article, we are specifically focusing on RPA use cases in finance, such as automated records keeping and finance control.
AI Audit: Guide to faster & more accurate audits in 2025
As AI systems become more complex and widespread, ensuring their accuracy, fairness, and compliance becomes crucial. Businesses should prioritize AI audits to maintain trust, meet regulatory requirements, and avoid unintended consequences that could harm reputation or violate ethical standards.
Top 15 RPA Use Cases & Examples in Banking in 2025
Banking, financial services, and insurance are the top industries where RPA solutions are implemented. This article focuses on RPA use cases in the banking industry, where RPA is seen the most. RPA and intelligent automation allows banks to run repetitive processes like data entry and customer service more accurately and effectively, without overhauling existing systems.