@montecarlodata Launches @salesforce Integrations for AI-Ready Customer Data https://t.co/04uTAqMrCL #AIobservability #businessworkflows #CRMData #CustomerDataPlatforms #customerprofiles #GoToMarketoperations #martech360 #MonteCarlo

We're excited to be a Launch Partner for the @AtlanHQ App Framework - a new way to build apps on Atlan’s Metadata Lakehouse using APIs, secure runtimes & marketplace distribution. 🚀 Catch the launch at #AtlanActivate: https://t.co/q3wtHPf4OF

Data downtime holding you back? 📉 Tune in as Data Cloud Now's Ryan Green and @montecarlodata's Tim Osborn discuss minimizing data downtime with AI-driven data observability. Essential for reliable AI & trusted decision-making at scale! https://t.co/nqTdLAYcTA

Sending a huge thank you to our Black Diamond partners at #SnowflakeSummit: @Accenture, @awscloud, @capitalone, @Cognizant, @Deloitte, @EYnews, @hex_tech, @Informatica, @Infosys, @LTIMindtreeOFCL, @montecarlodata. 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 @montecarlodata industry-first observability agents, solutions that allow organizations to monitor and troubleshoot data quality issues with the click of a button. 👉 https://t.co/EblggvLY83

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

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, @montecarlodata, and ThoughtSpot on 6/3 for a rooftop happy hour with drinks, food, and real talk with industry pros. RSVP here:

Data observability specialist @montecarlodata launched #Observability Agents, a set of #GenAI-powered agents, and unveiled agents for monitoring data and troubleshooting anomalies. Analysis from @StewartLBond and @KevinPetrieTech. https://t.co/pZnk5af3Ha

Transformation & Governance: Tools for data modeling, observability, and lineage. • @dbt_labs – Transformation layer for the modern stack • @AtlanHQ – Active metadata platform • @montecarlodata – End-to-end data observability [🧵 4/7]

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 https://t.co/QXA9ED1pLz

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. https://t.co/fDUJPtJXOf

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

🚗 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.

Don't miss @BM_DataDowntime and @hugobowne 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: https://t.co/FjqXE0dzDE

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

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 @lgavish on @DataScienceDojo talking about how to build scalable and reliable AI! 🚀 https://t.co/hKvnYVISGl #DataScience #DataAnalytics #DataEngineering

At #HumanX, women in leadership were pushing the bigger conversations about AI. @montecarlodata | @CredoAI | @honeybook | @LatticeHQ | @Get_Writer | @nylas | @TrustVanta | @veseyventures | @2ndTimeFounders

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