Monte Carlo

Platinum

Overview

Barr Moses, CEO and Co-founder of Monte Carlo, coined the term data observability with the mission of making data and AI more reliable. Our data observability platform ensures data teams are the first to know and solve data quality issues - before they impact the business. Monte Carlo is used by hundreds of data teams and across the largest Databricks deployments including Riot Games, Amgen, Comcast and more. We continue to lead the category as we enter the age of generative AI, helping teams improve the reliability of their AI products by ensuring that the data that is feeding LLMs is trustworthy, accurate, and on time.

Sponsored Sessions

  • Breakout
    Intermediate
    Data Strategy and Lakehouse Implementation
    Governance
    Media and Entertainment
    All Sessions
    1:00 p.m. Thursday, Nov 07
    Thursday, Nov 07

    VIZIO, a leading provider of smart TVs, soundbars, and streaming services, is well versed in managing both data and industry changes at scale. With thousands of tables, a massive influx of user data, and the rigorous regulations that come with being a publicly traded company, maintaining data quality has never been more critical—or complex. As VIZIO's data team embarked on modernizing their data stack, scalability and data quality became central to their data strategy.

    In this session, Andrew Baker, VP of Software Engineering at VIZIO, will walk you through their data transformation journey. He will highlight the evolution of VIZIO’s data architecture, offering insights into how the team leverages Databricks and Monte Carlo to maintain high levels of data reliability and quality. He’ll also share lessons learned from VIZIO's data initiatives, exploring the critical role of data observability in supporting continued growth and compliance in a dynamic, data-driven landscape.

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