Enterprise AI in the Cloud

13Setting Up an Enterprise AI Cloud Platform Infrastructure

Design is not just what it looks like and feels like. Design is how it works.

—Steve Jobs

In this chapter, you get your hands dirty by setting up an enterprise AI cloud platform infrastructure (see Figure 13.1). By now, you should have a good idea of the strategic vision, have aligned with the stakeholders on the AI/ML use cases and the business metrics, implemented change management processes, built a team, and may even have a good idea of the ML algorithm that you want to adopt.

FIGURE 13.1: Setting up the enterprise AI cloud platform infrastructure

Building a production-ready, robust enterprise AI cloud platform infrastructure is important because it helps you take your models from ideation to production in the shortest possible time and with the least risk possible.

This chapter is not just about the theory; it's about integrating AI into business processes to automate, reduce costs, increase efficiency, and create new opportunities. To do this, you must create efficient models and build a repeatable, robust, stable, and secure enterprise AI system adaptable to changing conditions. The right infrastructure will serve as a solid foundation for serving models with good performance, scalability, and reliability and as a launchpad to transition from pilot projects to full-blown AI operations. See Figure 13.1 ...