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Event

dbt Coalesce 2025

2025-10-13 – 2025-10-16 dbt Coalesce Visit website ↗

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3

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700 users, 100 models, $20: Cribl’s blueprint for scalable AI-powered insights

700 users, 100 models, $20: Cribl’s blueprint for scalable AI-powered insights

2025-10-15 Watch
talk
Chris Merrick (Omni) , Priya Gupta (Cribl)

With 700+ monthly BI users, Cribl scales self-service through governance, SDLC workflows, and smart AI practices. Join Priya Gupta and Chris Merrick to see how Git, Omni’s dbt integration, and a $20 auto-doc hack to enrich 100+ models helps deliver fast and trusted AI-powered insights.

From dashboards to leadership reporting: Automating the last mile of data insights with Sony Music and CarGurus

2025-10-15
talk
Nabil Jallouli (Rollstack) , Nader Khalil (CarGurus) , Benjamin Davis (CarGurus) , Murali Char (Sony Music The Orchard)

Teams across industries spend countless hours every week, month, and quarter creating data-driven slide decks and documents for leadership reviews, business updates, and client reporting—even though the data lives in their BI tools. This “last mile” of data reporting remains highly manual, repetitive, and a drain on strategic bandwidth. In this session, we’ll share how leading companies are automating this process with Rollstack: Sony Music’s The Orchard streamlines leadership business reviews and scales reporting across its network of labels, enabling its lean Analytics team to focus on insights instead of slide production. CarGurus empowers its Customer Success teams to scale client QBR reporting, ensuring consistent, reliable outputs while saving hours of manual work. Join us to see how these organizations are transforming reporting workflows and giving their teams more time to focus on decisions that move the business forward—instead of being stuck as PowerPoint jockeys.

From BI to AI: Auto-generating semantic models

From BI to AI: Auto-generating semantic models

2025-10-14 Watch
talk
Alec Bialosky (Select Star)

Semantic models promise clarity in analytics, but building them is still a challenge. See how leading data teams auto-generate models from BI metadata—giving data teams consistent definitions, faster validation, and trustworthy context for AI-driven insights.