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 Governance
    Governance
    Financial Services
    All Sessions
    Thursday, Dec 05
    2:00 p.m. Thursday, Dec 05

    Kestra Holdings, a leader in full suite wealth management solutions, knows the importance of clean, reliable data for its rapidly growing network of financial professionals and advisors to deliver top-notch service. With over $117 billion in assets under advisement, $66 billion in assets under management, and 1700 financial professionals, achieving and maintaining the highest levels of data quality is a critical component to their success.

    Join Sunaina Raju, Director of Data Governance at Kestra Financial, to learn her approach to creating a data quality program that can keep pace with the company’s growth. Discover how Kestra leverages Databricks Unity Catalog and data observability with Monte Carlo into a strategic advantage, minimizing data mishaps, empowering its advisors and the clients they service—all while keeping data trust at the forefront of their growth.

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