Agile-Predictive Convergence: A new paradigm for smart Investment and Risk Management Platforms
Abstract
Older investment and risk management systems are struggling with rising market volatility, increased indignity of rules practice, and a rapid rate of technological advances. This paper will discuss the possibilities of combining predictive analysis with agile product delivery approaches to streamline systems' responsiveness and improve decision-making practices between various industries in the financial and energy domains. Based on a thorough literature review, framework development, and case studies, we suggest a four-step framework for systematically integrating predictive intelligence into agile workflows. When transferring to energy sector investment systems, this system has shown improved adaptability, shorter iteration cycles, better anticipation of risk, and enhanced fit-gap between technical capacity and business goals. The results indicate that agile-predictive integration is a strategic need of companies that work in an environment of uncertainty and where data-intensive operations do not respond to traditional developmental strategies.
Citations
IRE Journals:
Neliswa Clementine Matsebula , Carlos Postigo Toledo , Judith Saungweme , Mabasa Masunungure , Munashe Naphtali Mupa
"Agile-Predictive Convergence: A new paradigm for smart Investment and Risk Management Platforms" Iconic Research And Engineering Journals Volume 9 Issue 1 2025 Page 1247-1257
IEEE:
Neliswa Clementine Matsebula , Carlos Postigo Toledo , Judith Saungweme , Mabasa Masunungure , Munashe Naphtali Mupa
"Agile-Predictive Convergence: A new paradigm for smart Investment and Risk Management Platforms" Iconic Research And Engineering Journals, 9(1)
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