The speaker discusses automated tools and auto ML features available on major cloud platforms like Ali Cloud, RP Cloud, and IBM Cloud.
Machine learning services are provided as a service on these platforms, allowing users to register and use them for various domains and target variables.
Tools like AWS SageMaker, Azure Machine Learning Studio, and GCP Vertex follow MLOps standards and automate the deployment of ML solutions, providing endpoints for users.
Cloud storage platforms such as AWS S3, Azure Blob Storage, and GCP Cloud Storage are used to store data for ML models, which are trained to generate the best models.
The speaker advises creating cloud platform accounts, utilizing free trial periods, setting budget restrictions and alerts using identity access management (IAM) to track and control resource consumption.

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