Enterprise Intelligence Frameworks for Self-Governing Platforms Using AI-Driven Decision Systems and Modern Cloud Ecosystems
DOI:
https://doi.org/10.15662/IJARCST.2025.0805034Keywords:
Enterprise Intelligence, Self-Governing Platforms, Artificial Intelligence, AI-Driven Decision Systems, Cloud Computing, Cloud Ecosystems, Machine Learning, Autonomous Systems, Intelligent Automation, Digital Transformation, Reinforcement Learning, Enterprise Governance, Predictive Analytics, Cloud-Native ArchitectureAbstract
The emergence of artificial intelligence (AI), cloud computing, and autonomous digital ecosystems has transformed the operational capabilities of modern enterprises. Self-governing platforms represent a new generation of intelligent systems capable of making autonomous decisions, adapting to environmental changes, and optimizing organizational processes with minimal human intervention. Enterprise intelligence frameworks serve as the foundation for integrating AI-driven decision systems with modern cloud ecosystems, enabling organizations to achieve agility, scalability, and operational efficiency. This study explores the design and implementation of enterprise intelligence frameworks that support self-governing platforms through advanced analytics, machine learning, automation, and cloud-native architectures. AI-driven decision systems utilize predictive, prescriptive, and cognitive analytics to continuously monitor business environments, identify patterns, and recommend optimal actions. Modern cloud ecosystems provide the computational resources, storage capabilities, and distributed services necessary to support real-time intelligence generation. The research examines the interaction between autonomous decision-making mechanisms, cloud infrastructure, and enterprise governance models. Additionally, it investigates key technologies such as machine learning, reinforcement learning, intelligent agents, edge computing, and cloud orchestration platforms. Findings suggest that integrating AI-driven decision systems with cloud-based enterprise intelligence frameworks enhances organizational responsiveness, improves decision accuracy, reduces operational costs, and supports sustainable digital transformation. These frameworks are expected to play a critical role in shaping future intelligent enterprises.
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