Monte Carlo

Don't ship and hope. Ship and validate. Agent Observability gives data + AI teams visibility into agent performance and reliability, from the data powering agents to the outputs they generate. Built directly into our data + AI observability platform, Agent Observability gives teams a unified view of the entire stack—from source data to model output—so when issues arise, you can find them fast, fix them faster, and get back to building. With Agent Observability, teams can: 🚀 Monitor agent outputs and performance at scale, with alerts on quality shifts using customizable evaluation monitors, smart sampling, and anomaly detection 🚀 Maintain control and compliance by storing telemetry, like prompts, token usage, latency, and errors, securely in your own warehouse or lakehouse 🚀 Ensure the quality of model outputs and inputs by observing and monitoring the entire data + AI estate within a single platform Check it out: https://lnkd.in/e-gZsyTQ #Agent #Observability #DataObservability #AIObservability #AIquality

Executives are championing AI, but data + AI teams in the trenches are struggling to show value. This new article by Barr Moses (Co-Founder & CEO of Monte Carlo) explores this widening AI enthusiasm gap and argues that the solution is to empower data + AI teams to solve real business problems.

2 notable things that happened this month— - My brothers wedding (congrats again <3) - Monte Carlo’s Agent Observability announcement And honestly, I don’t know which one was more exciting! …Just kidding (love you little brother). …but it really was close. While you've sadly missed the wedding (invite must have gotten lost in the mail), you can STILL catch a demo of Agent Observability. I’m happy to say those invites are being delivered every day. #proudsister #proudfounder PS this is not a photo of my brother or his wedding. 5 days together and I couldn't find a single photo to share.

"Quality of data = quality of life." Don't miss this fantastic article from Noah Abramson, Data Platform at Calendly, sharing his team's data warehouse journey to focus on monitoring health, quality rules, and building trust with Monte Carlo's data + AI observability platform. The team now has over 350 tests running in Monte Carlo that were migrated from their dbt test suite, enabling them to achieve a 40%+ reduction in data-related bug tickets and maintain a 60-70% alert acknowledgement rate, transforming the team's credibility and operational efficiency. As Noah says, "A data platform only delivers value when it’s backed by robust monitoring and observability. Without oversight, even the most advanced architecture can quickly turn from asset to liability." We couldn't agree more. 👏 Read the entire story here: https://lnkd.in/ey5eS__u #datawarehouse #observability #dataproduct #dataengineering #GCP #BigQuery #RedShift #dataquality #datamonitoring #dataarchitecture

We're at the Snowflake World Tour in London today! Swing by the booth to chat about data + AI observability, including Agent Observability and our Observability Agents. 👋 More info here: https://lnkd.in/e-gZsyTQ #Snowflake #WorldTour #agents #observability #AI #dataquality

Production-readiness doesn't happen during testing: it happens in production. The bad news for agents? Most evaluation tools aren't designed to be operationalized post-deployment. My hot take: if your observability can't be deployed in production, then your agents won't be ready for production either. It's that simple.

We’re super happy to extend an invitation to our webinar with Monte Carlo. If you’re in the finance space and looking at AI innovation, you’ll definitely want to join us! John Lucas will be sharing our take on *secure* AI implementation, plus some real-life use cases of how to do it in a safe and compliant manner 🔐 See you there! 👉 Info + registration: https://lnkd.in/gXubG4yD

TONIGHT! Join us at our IMPACT World Tour stop in San Francisco, part of SF TECH WEEK by a16z! Hear from Lee Davidson, CFA, CDO at AssetMark and Barr Moses, CEO & Co-founder of Monte Carlo as they discuss strategies for scaling trust, reliability, and observability across modern data and AI stacks. If you're a data + AI leader based in the Bay Area, this is your chance to network and share experiences across industries, all while enjoying delicious dinner and drinks. 🥂 Plus, meet up with our fantastic partners at Snowflake, Hevo Data, and Dagster Labs! Get the details and RSVP here: https://lnkd.in/eqi_XZdS #SFtechevents #SFdata #CDO #CDAO #CDAIO #observability