Authors: Navjot Chahal
Abstract: Salesforce Einstein Copilot AI provides advanced artificial intelligence capabilities to enhance CRM workflows, predictive analytics, and customer engagement. This review explores the integration of Einstein Copilot AI with bare-metal Unix servers and VMware hybrid cloud virtualization platforms to create a high-performance, scalable, and resilient enterprise AI infrastructure. Bare-metal servers deliver dedicated computational resources for real-time AI inference, while VMware hybrid cloud enables flexible workload orchestration and auxiliary processing. The review examines architectural frameworks, data pipelines, performance optimization, security, compliance, and governance considerations for hybrid AI deployments. Industry case studies in finance, healthcare, retail, and government highlight practical applications, benefits, and challenges. Limitations such as integration complexity, scalability issues, and skill gaps are discussed. Future directions include AI-driven resource optimization, containerized cloud-native deployments, self-healing workflows, edge computing integration, and automated compliance validation. The review demonstrates that hybrid deployment of Salesforce Einstein Copilot AI empowers enterprises to deliver intelligent, reliable, and secure CRM solutions across distributed IT environments.
DOI: http://doi.org/10.5281/zenodo.17366873
