Redefining Financial Risk Strategies: The Integration of Smart Automation, Secure Access Systems, and Predictive Intelligence in Insurance, Lending, and Asset Management
Переосмысление стратегий управления финансовыми рисками: интеграция интеллектуальной автоматизации, защищённых систем доступа и прогнозной аналитики в страховании, кредитовании и управлении активами
2024-10-15
SCID: 54.1/asrxgy98
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attribute managemententerprise roboticsfederated identity managementfinancial risk managementpredictive intelligence
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Abstract (AI)
This research study develops for the first time concepts that bring to the forefront an order of magnitude leap in the way financial risk is managed and mitigated by corporations, and in their interactions with their financial services suppliers.At the core of the research work are the development of a specific type of enterprise robotics theories and solution methodologies; end-to-end systems for secure access, navigation, and protection for financial applications using federated identity and attribute management; and the introduction of predictive intelligence using a few dominant principles, modeling, and estimation methods, risk equations, and estimation feedback protocols.In addition to the foundation studies for each of the three major components, we integrate the three into an enterprise financial risk solution and demonstrate through a set of complex activity models and problem derivative-specific applications the nature and degree of financial engineering, financial and data communications, modeling and corporate customer service integration analytics, information and business intelligence, managerial zones, and innovation theories involved.
Key Findings
1
Complex activity models and problem-specific applications demonstrate the roles of financial engineering, communications, analytics, business intelligence, managerial frameworks, and innovation theories.
2
It proposes end-to-end secure access, navigation, and protection systems for financial applications using federated identity and attribute management.
3
The research introduces predictive intelligence based on modeling, estimation methods, risk equations, and estimation feedback protocols.
4
The study develops enterprise robotics theories and solution methodologies for automating financial risk management activities.
5
The three components are integrated into an enterprise financial risk solution spanning insurance, lending, and asset management contexts.
Research Object
Enterprise financial risk management systems integrating smart automation, secure access systems, and predictive intelligence across insurance, lending, and asset management
Research Subject
Integrated approaches for managing and mitigating financial risk through enterprise robotics, federated identity and attribute management, predictive modeling, risk equations, and estimation feedback
Publication Details
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2024-10-15
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