Ep49: How Querio Uses AI to Replace Dashboards With Answers

In this episode of Data Neighbor, we’re joined by Rami Abi Habib, CEO and co-founder of Querio, to talk about what agentic analytics looks like when it’s built into a BI product from the ground up.🔗 Links & ResourcesCheck out Querio: https://querio.ai/A ➞ B Podcast:  @QuerioData  Free AI workshops schedule: https://dataneighbor.comAI Analytics for Builders (course): https://bit.ly/analyst-aiFree 30-day AI Evals course: https://dataneighbor.kit.com/b595040b93Connect with the team (tell us YouTube sent you!):Shane Butler: https://linkedin.openinapp.co/b02feSravya Madipalli: https://linkedin.openinapp.co/9be8cHai Guan: https://linkedin.openinapp.co/4qi1rConnect with Rami: https://www.linkedin.com/in/datarami/We talk about:* Why dashboards became the wrong default for “data-driven” teams* How agentic analytics changes the ticketing model for data teams* Why “BI as code” matters for transparency and trust* The semantic layer and context flywheel: how systems improve week over week* Where human judgment still matters (metrics, definitions, exceptions, executive trust)* What self-serve analytics does to data literacy across the business* What it will take to reach a “prompt is the dashboard” worldChapters:00:00 Introduction to Data Analysis in the AI Era04:18 Rami's Journey and Insights from Amazon09:08 The Birth of Querio: Addressing BI Challenges12:28 Understanding Querio: A New Approach to Data13:26 Governance and Trust in Data Analytics16:14 Workflow and User Experience with Querio22:53 Future Innovations and Enhancements in Querio25:47 Understanding Data Context and Metrics27:27 The Role of Documentation in Data Management28:46 Pilot Programs and Customer Onboarding29:49 The Shift Towards Self-Service Data31:58 Rethinking Dashboards and Data Access36:51 The Future of Data Tools and AI Integration38:33 Building a Strong Data Layer41:32 Challenges in Data Integration and Management46:38 Outro#dataneighbor #analytics #ai #agenticanalytics #querio #datascience #dataanalytics #productanalytics #aievals