Modernizing Enterprise Data Platforms via Cloud Computing and Generative Artificial Intelligence with LLMOps
DOI:
https://doi.org/10.15680/IJCTECE.2024.0706032Keywords:
Cloud computing, enterprise data platforms, Generative Artificial Intelligence, Large Language Models, LLMOps, MLOps, cloud-native architecture, data modernization, AI automation, intelligent analytics, data governance, scalable infrastructureAbstract
The rapid evolution of digital transformation has increased the demand for scalable, intelligent, and adaptive enterprise data platforms capable of supporting complex business operations. Traditional data infrastructures often struggle with growing data volumes, diverse data sources, real-time processing requirements, and the increasing need for advanced analytics. Cloud computing has emerged as a foundation for modern enterprise data platforms by providing flexible infrastructure, scalable storage, distributed computing capabilities, and advanced data management services. The integration of Generative Artificial Intelligence (Generative AI) further enhances these platforms by enabling automated content generation, intelligent data analysis, natural language interaction, and advanced decision support. However, deploying and managing large language models (LLMs) in enterprise environments introduces challenges related to model lifecycle management, scalability, governance, security, and operational efficiency. LLMOps addresses these challenges by applying DevOps principles to the development, deployment, monitoring, and optimization of AI models. This research explores the modernization of enterprise data platforms through the combination of cloud computing, Generative AI, and LLMOps practices. The study examines how cloud-native architectures and AI-driven capabilities improve data accessibility, operational efficiency, automation, and business intelligence. The proposed methodology evaluates architectural approaches, implementation strategies, and governance frameworks required to build secure, scalable, and intelligent enterprise data ecosystems
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