Utilizing machine learning models to determine and recommend new releases from cloud providers to customers

A device, comprising:

• one or more memories;
• and
• one or more processors, communicatively coupled to the one or more memories, configured to:
• receive release data identifying new releases associated with cloud providers;
• receive customer data identifying usage, inventory, and billing associated with customers of the cloud providers;
• receive interest data identifying interests of the customers with respect to the cloud providers;
• filter, based on one or more filters, the release data to generate filtered release data;
• process the filtered release data and taxonomy data identifying historical release data, with a first model, to generate classification data identifying classifications of the filtered release data;
• process the filtered release data, the classification data, and the customer data, with a second model, to identify a set of the filtered release data that is relevant for each of the customers, and to generate sets of the filtered release data for the customers;
• process the filtered release data, the classification data, and the interest data, with the second model, to identify additional data of the filtered release data that is relevant for each of the customers;
• supplement the sets of the filtered release data with the additional data of the filtered release data to generate supplemented sets of the filtered release data for the customers;
• and
• perform one or more actions based on the supplemented sets of filtered release data.

A non-transitory computer-readable medium storing a set of instructions, the set of instructions comprising:

• one or more instructions that, when executed by one or more processors of a device, cause the device to:
• receive release data identifying new releases associated with cloud providers;
• receive customer data identifying usage, inventory, and billing associated with customers of the cloud providers;
• receive interest data identifying interests of the customers with respect to the cloud providers;
• filter, based on one or more filters, the release data to generate filtered release data;
• process the filtered release data and taxonomy data identifying historical release data, with a classifier model, to generate classification data identifying classifications of the filtered release data;
• process the filtered release data, the classification data, and the customer data, with a matching model, to identify a set of the filtered release data that is relevant for each of the customers, and to generate sets of the filtered release data for the customers;
• process the filtered release data, the classification data, and the interest data, with the matching model, to identify additional data of the filtered release data that is relevant for each of the customers;
• supplement the sets of the filtered release data with the additional data of the filtered release data to generate supplemented sets of the filtered release data for the customers;
• and
• provide the supplemented sets of the filtered release data to server devices associated with the customers.