This paper presents a tripartite model of narrative in which three different kinds of actions are modeled: story actions, discourse actions, and narration actions. We argue that this model can support particularities of narrative discourse where typical discourse models do not (e.g., ambiguity/change of beliefs), and accounts for the difference in expressivity of the media used to convey the narrative, as opposed to bipartite models.

Enterprises have struggled to collaborate well around their data, which hinders their ability to adopt transformative applications like AI. The evolution of DataOps could fix that problem. The term DataOps emerged seven years ago to refer to best practices for getting proper analytics, and research firm Gartner calls it a major trend encompassing several steps in the data lifecycle. Just as the DevOps trend led to a better process for collaboration between developers and operations teams, DataOps refers to closer collaboration between various teams handling data and operations teams deploying data into applications. Getting DataOps right is a significant challenge because of the multiple stakeholders and processes involved in the data lifecycle.