Abstract: According to examples, a system for sentiment driven risk adjustable digital content management is provided herein. The system may include a processor and a memory storing instructions, which when executed by the processor, cause the processor to perform risk mitigating actions. These may include receiving sentiment data associated with a user and at least one of digital content, user group, or digital content provider. The processor may also aggregate the received sentiment data to measure and track sentiment associated with at least one of the user, the digital content, the user group, or the digital content provider. The processor may further determine sensitivity and risk metrics for at least one of the user, the digital content, the user group, or the digital content provider, based on the aggregated sentiment data. The processor may also provide data driven risk mitigation measures for privacy protection in digital content management based on the determined sensitivity and risk metrics.

Abstract: According to examples, a system for providing dynamic digital content may include a processor and a memory storing instructions. The processor, when executing the instructions, may cause the system to receive a plurality of data feeds. The processor may further analyze the data feeds to identify values for parameterized variables. A plurality of deep learning (DL) models can be trained to obtain product attribute data from the data feeds. The processor may then identify rules or triggers based on the values of the parameterized variables. The rules and/or triggers cause the processor to dynamically generate or select digital content and transmit the digital content to user communication devices of selected audience.