American Journal of AI Cyber Computing Management· 2026
Artificial Intelligence First Enterprise Architecture: The Design of Scalable, Secure, and Intelligent IT Ecosystems
- 78citations
- 2026year
Short summary
This paper introduces an AI-first enterprise architecture framework using cloud-native AI components like data lakes, MLOps, and RAG pipelines to build scalable, secure, and intelligent IT ecosystems.
AI-generated from the title and abstract; the full text is not read.
Key points
- Proposes an AI-first enterprise architecture for scalable, secure, and intelligent IT ecosystems.
- Integrates key cloud-native AI components: data lakes, MLOps, RAG pipelines, and agentic AI.
- Addresses security layers and architectural planning for future-proofing AI systems.
- Identifies industry best practices and challenges for CIOs in AI implementation.
AI-generated from the title and abstract; the full text is not read.
Abstract
This research discusses the application of cloud-native AI architectures to change enterprise ITecosystems. It discusses such important elements as data lakes, MLOps, RAG pipelines, agentic AI, and securitylayers with attention to scalability, flexibility, and security. With the help of industry case studies and scholarlyliterature, the paper identifies the industry best practices of cloud-native AI implementation and outlines some ofthe challenges encountered by CIOs in ensuring business alignment. It also highlights the fact that long-termarchitectural planning is necessary to enable AI systems to be future-proof so that they can be scaled and modifiedto meet future changes in technology
The authors' abstract, as published at the source. American Journal of AI Cyber Computing Management, 2026 · DOI ↗
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