Integrating AI/ML in Enterprise Cloud Solutions: Challenges, Solutions, and Case Studies

Authors: Santosh Pashikanti

DOI: https://doi.org/10.5281/zenodo.14631709

Short DOI: https://doi.org/g8zdwc

Country: United States

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Abstract: The rapid evolution of Artificial Intelligence (AI) and Machine Learning (ML) has transformed how enterprises design, develop, and deploy software and infrastructure. Cloud computing provides a robust, scalable, and cost-effective environment to operationalize AI/ML models. However, integrating AI/ML into enterprise cloud solutions presents unique challenges in areas such as data governance, model lifecycle management, scalability, security, and regulatory compliance. This white paper offers a deep technical exploration of these challenges and the solutions adopted by industry leaders, as well as reference architectures and case studies demonstrating real-world implementations.

Keywords: Artificial Intelligence, Machine Learning, Enterprise Cloud, Data Governance, Model Lifecycle Management, Scalability, Security, Compliance

Paper Id: 232016

Published On: 2024-01-09

Published In: Volume 12, Issue 1, January-February 2024

Cite This: Integrating AI/ML in Enterprise Cloud Solutions: Challenges, Solutions, and Case Studies - Santosh Pashikanti - IJIRMPS Volume 12, Issue 1, January-February 2024. DOI 10.5281/zenodo.14631709

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