Bad data is coming for your AI models. Poor data quality has wreaked havoc on dashboards and ML models for years. But at the scale of AI, the data quality challenge is bigger than ever. Relying on manual data quality checks to effectively cover the massive volumes of data

At #HumanX, women in leadership were pushing the bigger conversations about AI. Monte Carlo | CredoAI | HoneyBook | Lattice | WRITER | Nylas | Vanta | veseyventures | Second Time Founders

Data and AI are no longer two separate technologies. It’s time we stopped treating them that way. That’s why I’m ecstatic to announce that Monte Carlo will be extending our partnership with Databricks to bring our vision for data + AI observability to the Databricks’ Data

Is your data AI-ready? Check out Lior Gavish on Data Science Dojo talking about how to build scalable and reliable AI! 🚀youtube.com/watch?v=pNVLfc… #DataScience #DataAnalytics #DataEngineering

I don't care how big your context window is. While it’s true that running a single complex action on a model with a large context window would lead to a more favorable output than a smaller model all other things being equal, that assumes that you actually need to run that

Don't miss Barr Moses and Hugo Bowne-Anderson on the High Signal podcast chatting about why most companies aren't actually AI-ready... and what they can do to fix that. #AIready #data Full episode here: high-signal.delphina.ai/episode/barr-m…

🚗 Most companies treat data like a car they build and immediately drive 120mph — only to realize the door flies off mid-ride. Bar Moses, CEO of Monte Carlo, breaks down why data & AI observability is the missing layer—and how Monte Carlo helps teams actually trust their data.

Bad data used to be a nuisance. Now? It’s a liability. In the AI era, one broken pipeline can cost millions—or worse, make the wrong decision at scale. Bar Moses (CEO @MonteCarloData) lays it out: ✅Mission-critical data needs constant oversight ✅Focus on high-impact

Monitoring & troubleshooting just got even easier. Introducing the world's first-ever Observability Agents, the Monitoring Agent & Troubleshooting Agent, designed to help data + AI teams find and fix issues faster with AI-driven detection and resolution. montecarlodata.com/blog-monte-car…

This might be the biggest news we’ve shared all year—and I’m so freakin’ excited about it. Monte Carlo just announced our first-ever Observability Agents to accelerate reliability workflows for enterprise teams—beginning with our Monitoring and Troubleshooting Agents to

Monte Carlo Brings AI Agents Into the Data Observability Fold ow.ly/TQ0Y50VCHWo

Raise a glass with us at Snowflake Summit 🍸 Thinking about what’s next for data and AI? This is where your peers will be 👀 Join Atrium, Monte Carlo, and ThoughtSpot on 6/3 for a rooftop happy hour with drinks, food, and real talk with industry pros. RSVP here:

Data observability specialist Monte Carlo launched #Observability Agents, a set of #GenAI-powered agents, and unveiled agents for monitoring data and troubleshooting anomalies. Analysis from Stewart Bond and Kevin Petrie. bit.ly/4dtR7sT

Transformation & Governance: Tools for data modeling, observability, and lineage. • dbt Labs – Transformation layer for the modern stack • Atlan – Active metadata platform • Monte Carlo – End-to-end data observability [🧵 4/7]

Sending a huge thank you to our Black Diamond partners at #SnowflakeSummit: Accenture, Amazon Web Services, @capitalone, Cognizant, Deloitte, EY, HexTech, Informatica, Infosys, LTIMindtree, Monte Carlo. Don't miss out on all the latest and greatest in data, apps, and

AI-readiness doesn’t have to be buzzword. Learn how you can get AI-ready with Monte Carlo industry-first observability agents, solutions that allow organizations to monitor and troubleshoot data quality issues with the click of a button. 👉montecarlodata.com/product/observ…

Congratulations to team Monte Carlo for getting named 2025 Databricks Data Governance Partner of the Year! It was great to meet Monte Carlo CEO, Barr Moses, Barr Moses during Databricks #DataAISummit today. Jas Sidhu, I missed you! Safe travels!

Data downtime holding you back? 📉 Tune in as Data Cloud Now's Ryan Green and Monte Carlo's Tim Osborn discuss minimizing data downtime with AI-driven data observability. Essential for reliable AI & trusted decision-making at scale! bit.ly/3SWJzFE

Monte Carlo Launches Salesforce Integrations for AI-Ready Customer Data martech360.com/tech-analytics… #AIobservability #businessworkflows #CRMData #CustomerDataPlatforms #customerprofiles #GoToMarketoperations #martech360 #MonteCarlo

We're excited to be a Launch Partner for the Atlan App Framework - a new way to build apps on Atlan’s Metadata Lakehouse using APIs, secure runtimes & marketplace distribution. 🚀 Catch the launch at #AtlanActivate: atlan.com/activate/?utm_…