Meet Monte Carlo at Snowflake Summit 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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Speaking Sessions at Snowflake Summit

The Golden Reliability Ticket: A Behind-the-Scenes Look at Generative AI Observability

Session Date: Tuesday, June 3, 2025
Session Time: 2:00 - 2:20 pm PT

Session Type: Theater Session - 20 minutes
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 Date: Monday, June 2, 2025
Session Time: 1:00 - 1:45 pm PT

Session Type: Breakout Session - 45 mins
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.

Roche's Journey with Snowflake: The Successes, Challenges and Lessons Learned

Session Date: Wednesday, June 4, 2025
Session Time: 11:00 AM - 11:20 AM PT

Session Type: Theater Session - 20 minutes
Session Track: Platform Migrations

Join this session to explore how Roche is tackling the pharmaceutical industry's challenge of diminishing R&D returns by adopting a Data Mesh operating model. Discover how cross-domain collaboration, a reuse mindset and Snowflake-powered self-serve data infrastructure are driving a data-driven future in big pharma, with a focus on delivering value to patients.

Accelerating Agentic AI with Data + AI Observability

Session Date: Monday, June 2, 2025
Session Time: 3:00 - 3:20 pm PT

Session Type: Theater Session - 20 minutes
Session Track: DevOps & Data Observability

Agentic success starts with trustworthy data. In this session, Barr Moses, CEO and Co-founder of Monte Carlo, will explore how companies can accelerate AI readiness through data + AI observability. Learn why reliable, high-quality data is the foundation for effective AI initiatives—and how first-party data is your greatest competitive moat in the AI race. Barr will share strategies for ensuring data reliability, minimizing risk, and scaling AI projects with confidence, drawing on real-world examples from leading data-driven organizations.

From Rebuild to Reliability: DIRECTV’s Data Mesh & AI Observability Journey

Session Date: Tuesday, June 3, 2025
Session Time: 11:30 am - 11:50 am PT

Session Type: Theater Session - 20 minutes

DIRECTV, one of the largest content distributors in the U.S., didn’t just modernize their data stack—they reimagined it. By implementing a data mesh and rearchitecting their data landscape from the ground up, they established a single source of truth to drive measurable business impact, whilst reducing their footprint and optimizing their costs.

To ensure this new system delivered trusted, reliable data at scale, they turned to data + AI observability with Monte Carlo to drive data quality, increase stakeholder confidence, and lay the foundation for AI innovation.

Drive mission critical business initiatives with trusted data + AI.

Monte Carlo is the only end-to-end data + AI observability solution, empowering enterprises to 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.

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 + 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.

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 + 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."

"AI-Ready" starts with data + AI observability

Meet Monte Carlo at Booth #1508