Data processing for role assessment and course recommendation

A method, comprising:

• providing, by a device, a user interface element to receive a natural language description of a role;
• parsing, by the device and using a machine learning model, the natural language description to determine a set of tasks of the role;
• parsing, by the device and using the machine learning model, the natural language description to determine a set of activities for the set of tasks;
• training, by the device, a model of activity automatability using an artificial neural network processing technique to perform pattern recognition with regard to patterns of whether the set of activities, described using different semantic descriptions, are automatable and whether the set of tasks will be automated;
• determining, by the device and using the model of activity automatability, a set of automation scores for the set of activities,
• an automation score, of the set of automation scores, representing an automation potential predicted for a task of the set of tasks;
• determining, by the device, an aggregate automation score for the role based on the set of automation scores,
• wherein the role is defined by the set of tasks, and
• wherein each task, of the set of tasks, includes at least one activity of the set of activities;
• determining, by the device, an automation evaluation for the role based on the aggregate automation score and one or more characteristics of an entity associated with the role;
• searching, by the device, using a skills model, and based on the automation evaluation indicating a likelihood of the role being automated, an internet for a course associated with a skill, of a set of skills, for the entity;
• receiving, by the device, from the internet, and based on searching the internet, the course,
• the course being a video-based course or an audio-based course,
• performing, by the device, an allocation of resources of a content delivery network (CDN) to distribute the course to one or more user devices;
• generating, by the device and based on receiving the course, a user interface for providing the course;
• and
• providing, by the device, via the user interface, and using the resource of the CDN, the course to the one or more user devices.

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

• one or more instructions that, when executed by one or more processors, cause the one or more processors to:
• provide a user interface element to receive a natural language description of a role;
• parse, using a machine learning model, the natural language description to determine one or more tasks of the role;
• parse, using the machine learning model, the natural language description to determine one or more activities for the one or more tasks;
• train a model of activity automatability using an artificial neural network processing technique to perform pattern recognition with regard to patterns of whether the one or more activities, described using different semantic descriptions, are automatable and whether the one or more tasks will be automated;
• determine, using the model of activity automatability, one or more automation scores for the one or more activities based on a set of characteristics of the one or more activities and based on data relating to the role;
• generate, for the role, an aggregate automation score based on the one or more automation scores for the one or more activities;
• determine an automation evaluation for the role based on the aggregate automation score and one or more characteristics of an entity associated with the role;
• determine one or more skills relating to the entity based on the automation evaluation and using a skills model;
• search, based on the automation evaluation indicating a likelihood of the role being automated, an internet for a training course associated with the one or more skills;
• receive, from the internet and based on searching the internet, the training course,
• the training course being a video-based course or an audio-based course,
• perform an allocation of resources of a content delivery network (CDN) to distribute the training course to one or more user devices;
• generate, based on receiving the training course, a user interface for providing the training course;
• and
• provide, via the user interface and utilizing the resources of the CDN, the training course to the one or more user devices.