Building Intelligent Enterprise Platforms: Integrating Big Data, AI, and Cloud-Native Architectures
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V5I1P120Keywords:
Intelligent Enterprise Platforms, Big Data Analytics, Artificial Intelligence, Cloud-Native Architecture, Digital Transformation, Microservices, Kubernetes, Machine Learning, Data Engineering, Enterprise IntelligenceAbstract
Digital transformation has become a strategic focus for modern organizations looking to improve competitiveness, operational efficiency and creativity through technology-driven solutions. In this setting, data-driven decision making has become a vital competency for enterprises to extract actionable insights from large and heterogeneous data sets. The rapid growth of Artificial Intelligence (AI), Big Data Analytics and Cloud-Native Architectures further accelerates the evolution of intelligent enterprise platforms capable of dealing with real-time analytics, automation, scalability and adaptable business processes. The present study is devoted to the investigation of the integration of these technologies and presents a comprehensive framework for the development of intelligent enterprise platforms based on cloud-native infrastructures, big data ecosystems, and AI-powered decision support systems. The report outlines the core architectural elements, integration approaches and implementation considerations for delivering agility, resilience and intelligent automation throughout the company. The results reveal that the combined use of AI, big data, and cloud-native technologies has a substantial effect on operational performance, prediction, resource efficiency, and business agility. The report provides a practical reference model for enterprises to drive their digital transformation efforts, while overcoming difficulties such as scalability, data governance, security and interoperability. The practical consequences emphasize how organizations can upgrade legacy systems, promote innovation, and build durable competitive advantages through the deployment of intelligent platforms. Future research should focus on developing areas such as edge intelligence, federated learning, explainable AI, autonomous operations, and sustainable cloud computing for further improving the effectiveness and trustworthiness of next-generation corporate platforms.
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