{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/3b787b3db2eb4612bbcb7f6eb9eeaddd\" frameborder=\"0\" width=\"960\" height=\"720\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":720,"width":960,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":720,"thumbnail_width":960,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/3b787b3db2eb4612bbcb7f6eb9eeaddd-7cb362674ff742f2.gif","duration":152.222,"title":"AI-Powered BI for Scenario Planning","description":"This Loom discusses how BI tools with AI can enable more advanced scenario planning than static data alone. The speaker shows a chart of the engineering team’s billable utilization over the next six months, then demonstrates breaking the visualization into editable underlying data. They use an example where Jasper is expected to leave in December and ask how that would affect overall billable utilization, with the agent updating the sheet to include a changeable departure parameter. The speaker then illustrates that if Jasper stays, utilization increases, and if he leaves, it decreases."}