Designing Trustworthy Data Products for Scalable Enterprise Solutions Through GenAI Engineering Integrated With Financial Modeling and Intelligent Product Development
In today’s data-driven economy, enterprises face the dual challenge of scaling their operations while ensuring the trustworthiness and effectiveness of the solutions they deploy. This article introduces a novel, interdisciplinary framework that synthesizes Generative Artificial Intelligence (GenAI), financial modeling, and intelligent product development to create data products that are not only scalable but also reliable, secure, and user-focused. By leveraging the complementary skills and experiences of the authors—ranging from advanced data engineering and analytics to financial strategy and software product development—this paper offers a strategic roadmap for designing next-generation enterprise solutions. Emphasis is placed on real-world applicability, risk mitigation, user experience, and ethical implementation of AI-driven technologies.
Keywords: Gen AI, Finance, Product Development, Data Engineering, Security, Analytics, Software Development, Financial Modeling, UX Design
