Snowflake Summit 2025

Meet Monte Carlo at Booth #1508
Join Monte Carlo at Snowflake Summit 2025 to learn how leading data teams are leveraging data observability to get AI Ready in 2025.

Meet Monte Carlo at Snowflake Summit 2025 - Booth #1508
Meet us at Snowflake Summit 2025 in San Francisco. Learn how to scale AI-readiness on Snowflake with Monte Carlo.
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Check Out How Monte Carlo supports Snowflake Customers
Monte Carlo is recognized as Snowflake’s go-to solution for data observability. Together, we help data teams deliver reliable, trustworthy data across the AI Data Cloud.
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Monte Carlo and Snowflake Partner to Provide Observability Into Unstructured Data
Ensures AI-readiness and reliable data to power AI applications built with Snowflake Cortex AI.
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The Golden Reliability Ticket: A Behind-the-Scenes Look at Generative AI Observability
Session Track: DevOps & Data Observability
Generative AI observability holds the potential to transform enterprise data teams. In this session, deep dive into the architecture, benefits and challenges of T. Rowe Price’s gen AI use cases for data discovery and data supply chain innovation — resulting in 50% increased efficiency. Learn how the key components of gen AI observability, including observability into unstructured data, vector databases, LLMs and the AI data stack accelerate data quality management.
Driving AI-Readiness with Trusted Data: Insights from Financial Services Leaders
Session Track: DevOps & Data Observability
Hear from expert data leaders from top financial services firms, as they share insights on navigating the opportunities and challenges of becoming AI-ready with data + AI observability. They'll discuss how they modernize data strategies, tackle governance and compliance, and leverage Snowflake’s capabilities to unlock AI-driven insights. Gain practical approaches to data democratization, risk management, and accelerating AI adoption in the highly regulated world of financial services.
Drive mission critical business initiatives with trusted data + AI.
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.
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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.
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Accelerate Root Cause Analysis
Automated detection, triage and resolution capabilities allows your team to find and fix bad data, fast.
Trusted Data + AI For All
Democratize reliable data + AI 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.


Fast Incident Resolution
+1,000 incidents are resolved in Monte Carlo every day.
- Understand where incidents originated with cross-system data lineage.
- Zero in on bad source data with automated segmentation analysis.
- Discover system failures with metadata monitoring and incident correlation.
- Surface bad queries and faulty logic with code change insights.
Scale Data Quality Management
Monte Carlo unifies data quality monitoring, root cause analysis, and data platform cost optimization in a single platform built for the entire data team. Get everyone on the same page when it comes to data quality, access, and ownership with data observability.

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.
Learn why today’s leading data teams rely on Monte Carlo for data + AI 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."