Meet Monte Carlo at Gartner Data and Analytics

Meet Monte Carlo at Gartner Data and Analytics Summit - Booth #219

Learn how to scale automated data quality with Monte Carlo.

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Speaking Sessions at Gartner

Check out how NASDAQ uses Monte Carlo to deliver trusted data and hear about the 3 steps for achieving AI-ready Data with Data & AI Observability.

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Happy Hour: Data AI Dente

Join us on March 4th at Gartner AI Dante Happy Hour with elite CDOs, CDAOs, CIOs, and Data Leaders at Gartner’s D&A Summit for a one-of-a-kind dining experience.

Speaking Sessions at Gartner

How NASDAQ uses Monte Carlo to deliver trusted data

Breakout Session - Tue, March 4th at 11:00-11:30 am | Location: Sun C

Nasdaq, one of the world’s largest stock exchanges, knows that high-quality data is critical to driving real business value. And choosing the right technology partners can transform data performance, scale, and reliability. That’s why their team invested heavily in data observability, to double down on their data quality and reliability.

Join Michael Weiss, AVP of Product Management, Nasdaq, to learn about the evolution of data at Nasdaq, and how they leverage data observability with Monte Carlo to meet the needs of their modern data challenges in a highly-regulated and scrutinized industry.

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3 Steps for Achieving AI-Ready Data with Data & AI Observability

Expo Theater Session - Wed, March 5th at 10:00-10:20 am | Location: Theater 4

In a 2024 data leaders survey, 99% of respondents said they were building GenAI products. But 66% of them weren’t confident that their data was AI-ready. Confusing, right?

So, how can you tackle that obstacle and realize the full value of AI? Barr Moses, co-founder and CEO of Monte Carlo, will share how today’s pioneering data & AI leaders ensure their data and infrastructure is AI ready. She’ll share how AI-first companies:

Migrate to the cloud to create a single source of data truth
Treat data like a product across the AI lifecycle
Ensure quality and governance with data & AI observability

Check Out The Session >

Drive data and AI ROI with the #1 Data Observability Solution.

Monte Carlo provides automated, AI-powered incident detection and profiling, domain-oriented alerting with impact analysis, accelerated root cause analysis, and rich insights into data health, operational response, cost optimization, and more.

Scale Profiling with AI

Leverage AI to make smarter profiling decisions. Set up rules in minutes to monitor for anomalies across your most important data sets.

Build Trust Across Domains

Set and uphold data SLAs. Show quality levels and current health status so your users are never blindsided by bad data and AI.

Accelerate Root Cause Analysis

Automated detection, triage and resolution capabilities allows your team to find and fix bad data, fast.

Trusted Data For All

Democratize reliable data products at scale.

Easily surface data quality SLAs for data and AI products to stakeholders. Manage and improve the reliability of the tables and assets powering your most critical data applications, and in the process, foster greater trust and collaboration between engineering and analytics teams.

Drive change management for data quality initiatives.
Understand data product support levels and operational response.
Uncover specific incidents and trends to enforce data SLAs.

Trusted by hundreds of enterprise data teams

With 500+ deployments across Pharma, FinServ, Retail, CPG, and more industries, Monte Carlo is the leader in data quality and observability according to G2, Gartner Peer Insights, and more.

Gartner Market Guide

Data Observability Tools

Access this research that outlines how data and analytics leaders can best leverage the data observability market’s offerings.

Access Guide

Learn why today’s leading data teams rely on Monte Carlo for data observability.

"Setting up is easy and onboarding new teams and team members is a pleasure. Our dedicated customer experience and support team is always there to answer questions and take feedback and enhancement requests. Alerts provide value and insights into the data domain, and the lineage is a blessed addition. "

"Overall, our experience with Monte Carlo has been exceptional. In an environment where we have hundreds of critical tables across multiple cloud providers and services, Monte Carlo has helped us scale data quality checks via their automated monitors. Additionally, their customer success team is truly world-class and very reliable!"

"MonteCarlo is a must-have data observability platform & a key arsenal for Data quality, for Data teams who are diligent in managing their data. Out of the box monitors, simple UI for configuration, Slack integration for alerts, prompt response from product team & service teams, Data Product concept, Data sharing, Snowflake Tag usage."

Gartner Data & Analytics Summit 2025

Meet Monte Carlo at Booth #219