We can choose from various kinds of cloud-based offerings, including SaaS and IaaS. Machine Learning as a Service (MLaaS) is one of the latest innovations in the IT industry. ML deployment basically needs huge amounts of data and advanced users who can investigate patterns from the data volumes. The ML algorithm is always a hit-and-miss scenario. MLaaS will play a crucial role in AI adoption as it'll help developers and businesses reap the benefits of ML features. It will assist in embedding AI in business apps and enable organizations to use data in better ways to achieve their business objectives.

VMware SDDC products and approaches can be utilized to automate various services, and not just for the VMware-offered products but even for third-party tools. The entire process of provisioning and de-provisioning services using vRealize products can be automated along with vRealize Orchestrator, vRealize Log Insight, and NSX on top of vSphere hypervisor.

The next chapter, Chapter 8, Machine Learning-Based Rule Engine with Skyline, will give you a detailed overview of VMware Skyline. We will collect information from a customer and use ML as an intelligent rule engine to monitor and provide proactive support for a faster resolution by preventing upcoming threats.