Atlassian will seek to collect two types of data from its 300,000 global customers: metadata and in-app data from Jira, Confluence, and its other cloud products, which will then be fed into the company's models.
Wiggins will lead a team that optimizes the use of machine learning and artificial intelligence to improve outcomes company-wide, from maximizing advertising and subscriber revenue to creating unique and personalized experiences for users.
Organizations are drowning in dashboards, KPIs, performance metrics, behavioral traces, biometric indicators, predictive scores, engagement rates, and AI-generated forecasts. We have more data than we know what to do with. We pretend that the mere presence of data guarantees clarity. It does not. That's data hubris—the arrogant belief that because something can be measured, it can be mastered.
