Abstract: Some degree of stress in the workplace is expected and unavoidable. However, when people experience too much stress, the detrimental effects can impact the health of individuals as well as impact the organization in the form of absenteeism, reduced productivity, and other issues. By considering the stress for events of a schedule, the events may be determined to produce an aggregate stress that is unnecessarily high. In response, systems and methods herein are provided to determine which events are stressful and recalculate a schedule in order to reduce the stress on the people performing the constituent tasks. A recalculated schedule is then published to allocate equipment, supplies, personnel, etc. with a lesser degree of stress experienced by the users thereof.

Abstract: Electronic conferences between networked communication devices often comprise conference content comprising a visual element that may be supplemented with additional conference content, such as speech from a presenter or other inputs (e.g., mouse pointer gestures). An artificial intelligence, such as a neural network, may be trained to receive the conference content and determine a conference topic. The neural network may then select or generate a digital asset that supports, enhances, or otherwise aids understanding of the conference topic. The digital asset may automatically, or upon approval or selection, be provided to the conference as conference content. Digital assets that prove popular may be added to a repository, such as a blockchain, for access and use by others.