Monte Carlo

2023 was the year of GPUs. 2024 was the year of foundational models. 2025 has already seen dramatic increases in capacity with DeepSeek and Agentic applications. 2026 will be the year of data + AI observability. ?? Data + AI are no longer two separate technologies; they are a single system. By next year, let’s hope we’re treating them like one. Barr Moses, CEO & Co-founder of Monte Carlo, shares her thoughts in her latest article: https://lnkd.in/d5SmuRvi #AIobservability #dataobservability #dataquality #CDO #CDAO #AI

Don't miss Lior Gavish on Data Science Dojo tomorrow at 10am PT! ?? He'll share best practices for getting your data AI-ready, the components of reliable AI, and more. Register here: https://hubs.la/Q03bpqK90 #dataobservability #AIobservability #datascience #LLMs #AI

Data is the backbone of business growth, but how can AI make it actionable? Don't miss Barr Moses, CEO & Co-founder at Monte Carlo, speaking on a panel at HumanX on Wednesday at 1:15pm, along with Shannon Scott, SVP, Global Head of Product, at Airwallex, Edo Liberty, CEO of Pinecone, and Mike G., CPTO at ada, as they explore how AI prevents errors, optimizes workflows, and transforms customer operations into growth engines. Check out the session here: https://lnkd.in/eQhUPvX2 #HumanX #dataobservability #AIobservability #dataquality #AI

Want to know what I think about AI-ready data? Join me at HumanX 2025 in Las Vegas this Wednesday at 1:15 PT to find out. Here's a sneak peak: - The data landscape is changing - The way we manage data quality for AI hasn't... - But it's about to! See you there! spkr_moses:?https://lnkd.in/gQK2puAC

Next week! Join us in Toronto for Serving Data! ?? On March 20th, we're bringing together data leaders for an evening of drinks, dinner, and discussion around how teams are readying their organizations for AI with the right people, processes, and technologies. Plus, you'll hear a fireside chat from Craig Ling, Senior Director, BI at System1, who will share how his organization is ensuring data trust to unlock value and mitigate risk. Register here: https://lnkd.in/e-zFseyH #servingdata #dataobservability #AIobservability #AI #torontotech

Monte Carlo and Snowflake Partner to Ensure Observability for Unstructured Data Bringing Trust to AI and Agentic Systems Monte Carlo, co-founded by Lior Gavish and Barr Moses, has expanded its partnership with Snowflake to provide end-to-end observability across structured and unstructured data pipelines in Snowflake Cortex AI. This collaboration ensures that enterprises can build, train, and deploy reliable LLMs while maintaining trust and accuracy in AI-driven applications. Why Observability for Unstructured Data? AI models heavily rely on unstructured data for training and fine-tuning. However, AI failures often stem from data quality issues, leading to silent model drift, system failures, and unexpected errors. Observing only model outputs isn’t enough—comprehensive observability across data, systems, code, and models is essential. Through this partnership, Monte Carlo and Snowflake enable AI teams to detect, triage, and resolve issues across the entire AI stack, enhancing the reliability of Cortex AI applications. Ensuring Trust in AI Systems Organizations adopting AI must address trust and reliability concerns. Poor data can result in incorrect AI outputs, leading to financial losses and reputational risks. With Monte Carlo's AI observability, companies gain visibility into structured and unstructured data pipelines, allowing them to prevent failures before they impact business operations. Committed to Reliable AI for the Enterprise Monte Carlo, founded by Barr Moses and Lior Gavish, is dedicated to defining the future of AI observability by ensuring structured and unstructured data monitoring, system integrations, and model performance tracking. This approach guarantees that AI solutions are accurate, scalable, and reliable, empowering enterprises to drive business success with trustworthy AI.

?? I just confirmed more speakers for the Shift Left Data Conference... and this lineup is STACKED! ?? I've been talking to countless data leaders and practitioners implementing data contracts and "Shift Left Data" best practices, and these are some of the top people we think are helping define the space. ???? Join us online March 27th from 9:00 AM - 3:30 PM PST to hear from the following amazing people! ?? Carly Taylor, M.Sc. - Founder - Rebel Data Science ?? Vin Vashishta - CEO - V Squared AI ?? Joe Reis - Founder - Nerd Herd Education ?? Andrew Madson - Founder - Insights x Design ?? Tristan Handy - CEO and Founder - dbt Labs ?? Nachiket Mehta - Head of Data & Analytics Engineering - Wayfair ?? Piyush Tiwari - Sr Software Engineering Manager - Wayfair ?? Matt Turck - Managing Partner - FirstMark ?? Apoorva Pandhi - Managing Partner - Zetta Venture Partners ?? Sarah McKenna - CEO - Sequentum ?? Barr Moses - CEO and Co-founder - Monte Carlo ?? Anna Swigart - Director, Data Engineering - Helix ?? Sergio Couto Catoira - Sr Data Engineer - Adevinta Spain ?? Zakariah S. - Engineering Manager, Data Platform - Glassdoor ?? Demetrios Brinkmann - Founder - MLOps Community ?? Chad Sanderson - CEO and Co-founder - Gable ????♂? Hurry up and register to reserve your spot! https://lnkd.in/gxXZ-v8b

Have you heard the news? Monte Carlo just announced that we'll be delivering end-to-end observability across both structured and unstructured data pipelines powering AI applications in?Snowflake Cortex AI. This new joint solution will make it easier and faster for data organizations to build, train, and deploy reliable LLMs in Snowflake and drive value with their AI investments. Read the announcement to learn more! https://lnkd.in/gcr2dgts

In honor of International Women's Day, we're thrilled to see Carli Monterastelli (Arioto), Head of Sales Development at Monte Carlo, included this article from Built In highlighting 16 women shaping the tech industry and inspiring others to do the same. ?? Major shout out to Brenda Tern, Global Head of Recruiting, who shared why Carli is such an integral and inspiring part of the team. "Carli leads with empathy, always prioritizing the well-being and growth of her team.” Today and everyday, we celebrate all of the incredible women across our organization and the ecosystem – including our CEO & Co-founder, Barr Moses! Check out the full list here: https://lnkd.in/e3pnk8nY Happy International Women's Day! #womenindata #dataobservability #dataquality #AIobservability

Unstructured data is more important than ever. It’s time to think differently about how we manage it. The idea of leveraging unstructured data in production isn’t new by any means — but in the age of AI, unstructured data has taken on a whole new life. Organizations of all sizes are realizing the impact of AI for the enterprise. Revolutionary features like Snowflake’s Cortex AI have democratized access to powerful AI for everyone with the data to activate it. But data and AI are no longer two separate systems—they’re two halves of the same solution. Success for production-ready AI applications and agents—built on Cortex AI or elsewhere—depends largely on the panoply of data that’s used to train, fine-tune, and augment it. And in the age of AI, that critical first-party data is becoming increasingly?unstructured. That’s why Monte Carlo announced this week that we would be partnering with Snowflake to deliver end-to-end observability across both structured and unstructured data pipelines powering agentic AI applications in?Cortex AI. This joint solution will make it easier and faster for data organizations to build, train, and deploy reliable LLMs in Snowflake and drive value with their AI investments. At Monte Carlo, we’re committed to defining the future of reliable AI for enterprise data teams. That means extending coverage to every layer and integration that could impact the reliability of your Cortex AI applications—and that begins today with the structured and unstructured data that powers it. Read the announcement here: https://lnkd.in/g4XHpKRP