Which of the following are the main advantages of using ML/AI for data analytics in...

Elasticity and pay-as-you-go are two main advantages of using ML/AI for data analytics in the cloud as opposed to on premises. Elasticity refers to the ability of cloud computing to dynamically adjust the amount of resources allocated to a workload according to the changing demand7. This allows ML/AI applications to access a large pool of compute resources when needed, such as GPUs or TPUs, without having to purchase or maintain them on premises8. Pay-as-you-go is a pricing model in which customers pay only for the resources they consume, such as compute, storage, network, or software services9. This allows ML/AI applications to save money by avoiding upfront costs or overprovisioning of resources on premises10.