Year: 2024
Type: article
Abstract: This whitepaper presents a holistic approach to the implementation of enterprise-scale AI solutions using Google Vertex AI. Modern organizations must address very complex challenges in scaling their AI initiatives from proof- of-concept to production-ready systems. While Google Vertex AI has a very robust platform to enable such a transformation, success demands careful architecture planning, systematic implementation, and adherence to enterprise-grade best practices. This framework addresses these challenges by providing a structured approach to building scalable, production-ready machine learning systems while maintaining security, governance, and operational excellence. Keywords: Enterprise AI, Google Vertex AI, MLOps, Machine Learning Operations, AI Infrastructure, Cloud Computing, AI Transformation, Enterprise Architecture, AutoML, Model Registry, AI Governance, Data Management, Scalable ML Systems, Enterprise ML, Cloud ML Platform
DOI: 10.55041/ijsrem39425
Author: Prabu Arjunan
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4406088404