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Miranda Luna

Speaker

Miranda Luna

3

talks

Product Management Databricks

Miranda Luna leads product management for Databricks AI/BI, shaping tools that bring together business intelligence and AI to simplify data-driven decisions. Previously, she worked on Databricks SQL, contributing to a fast, intuitive analytics experience on the Lakehouse platform. Her favorite part of the role is learning from customers and turning their feedback into great products. Based in Seattle, she enjoys alpine skiing in winter, golfing in summer, and making the most of the Pacific Northwest year-round.

Bio from: Databricks DATA + AI Summit 2023

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Talks & appearances

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Latest Innovations in AI/BI Dashboards and Genie

Discover how the latest innovations in Databricks AI/BI Dashboards and Genie are transforming self-service analytics. This session offers a high-level tour of new capabilities that empower business users to ask questions in natural language, generate insights faster and make smarter decisions. Whether you're a long-time Databricks user or just exploring what's possible with AI/BI, you'll walk away with a clear understanding of how these tools are evolving — and how to leverage them for greater business impact.

keynote
with Bilal Aslam (Databricks) , Michael Armbrust (Databricks) , Arsalan Tavakoli-Shiraji (Databricks) , Miranda Luna (Databricks) , Michael Flynn (Rivian) , Ken Wong (Databricks) , Ali Ghodsi (Databricks) , Keegan Dubbs (Databricks) , Matei Zaharia (Databricks) , Michelle Leon (Databricks) , Michael Piatek (Databricks)

Discover the latest advances on the Data Intelligence Platform and hear from the companies who are already enjoying success.

Tech Industry Session: Optimizing Costs and Controls to Democratize Data and AI

Join us for this session focused on how leading tech companies are enabling data intelligence across their organizations while maintaining cost efficiency and governance. Hear the successes and the challenges when Databricks empowers thousands of users—from engineers to business teams—by providing scalable tools for AI, BI and analytics. Topics include: Combining AI/BI and Lakehouse Apps to streamline workflows and accelerate insights Implementing systems tables, tagging and governance frameworks for granular control Democratizing data access while optimizing costs for large-scale analytical workloads Hear from customers and Databricks experts, followed by a customer panel featuring industry leaders. Gain insights into how Databricks helps tech innovators scale their platforms while maintaining operational excellence.