Enterprises and CPG brands are under increasing pressure not only to find new ways to engage customers but also to modernize operations, optimize supply chains, and control costs. Yet many continue to struggle, often trapped in traditional processes or fragmented AI initiatives. AI and ML hold the potential to drive meaningful impact, but only when supported by a scalable, secure, and efficient infrastructure that meets evolving business needs.
Our whitepaper presents a flexible, validated reference architectural blueprint curated by experts at Confiz for deploying AI and ML models at scale using Microsoft Azure. Built for both technical and business audiences, it outlines essential services, security, DevOps automation, and monitoring strategies for building scalable, enterprise-grade AI infrastructure with real-world impact.
What you’ll learn?
- AI infrastructure challenges: Understand the complexity of scaling AI across fragmented enterprise environments.
- Blueprint architecture: Explore the modular, Azure-based framework designed for ML pipelines, LLMs, and generative AI use cases.
- Security and DevOps best practices: Learn how to securely deploy, manage, and monitor AI infrastructure using Terraform, Key Vault, and Azure DevOps.
- Cost-optimized design: Discover how to balance performance and cost through data architecture choices and smart resource provisioning.
- Enterprise validation: See how the blueprint has been adopted by technology leaders to drive real-world transformation across global CPG and enterprise brands.
Explore the foundational elements of enterprise AI success and learn how leading CPG brands are confidently scaling their efforts on Azure. Download the full whitepaper for a complete blueprint.