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

Snapshots from Barr Moses' session at #GartnerDA today on accelerating AI-readiness with data + AI observability! ?? ?? Want to learn more about what you need to do to get AI-ready in 2025? Check this out: https://lnkd.in/d5SmuRvi Stop by Booth #219 today to chat! #GartnerDA #dataobservability #AIobservability #dataquality #AI #AIreadydata

Good data is your moat. ?? AI isn't your differentiator. Everyone's got AI now. Find out how reliable data can make your competitive edge happen. AI you can trust: How reliable data makes It happen -- An Everyday AI chat with Jordan Wilson and Barr Moses (Replay) == #data #aidata #dataanalytics #analytics #BI #genai #llm

Don't miss Barr Moses' session, Accelerating AI-Readiness: Scaling Quality with Data + AI Observability, at #GartnerDA today at 10am! Join us in Theater 4 to learn how AI is transforming the data quality landscape and what you need to do to get AI-ready in 2025. Learn more here: https://lnkd.in/eaSVP7KJ #GartnerDA #dataobservability #AIobservability #AIready

Snapshots from Melody Chien's fantastic session today at #GartnerDA on building a foundation for BI and AI success with metadata, data quality, and data observability tools. ?????? Want to learn more? Check this out: https://lnkd.in/eVyFvdVW Stop by Booth #219 to chat with the team and learn more about data + AI observability! #GartnerDA #dataobservability #dataquality #AIobservability #AI #BI

Looking at past technology advancements like cloud computing and big data, we see a pattern start to emerge. Infrastructure and capacity developments create demand; demand creates returns; returns create dependence. The internet was powering AOL chatrooms before site reliability engineering delivered the fabled “5 9s of reliability.” Data warehouses were creating printed charts to ignore in board rooms before?data observability?was protecting critical cloud-based data products like ML models and marketing dashboards. If you haven’t adopted the “data + AI” parlance, it’s shorthand for anytime an organization combines their first-party data with AI applications to unlock unique insights, automate processes, or accelerate specialized workflows. Data + AI will deliver exponentially more unique value for enterprise organizations than data alone…but where there’s increased impact, there’s destined to be increased reliability requirements. 2023 was the year of GPUs. 2024 was the year of foundational models. 2025 has already seen dramatic increases in capacity and model commoditization (think?DeepSeek AI). My bet is that 2026 will be the year when data + AI changes the world…and, if history is any indicator, this revolution will be immediately preceded by advances in observability. Data + AI are no longer two separate technologies; they are a single system. By next year, let’s hope we’re treating it with the diligence it deserves. Check out my full thoughts on the topic in my latest article—link in the comments!

?? The countdown is on! Our Data Al Dente Dinner 2025 at Gartner D&A is shaping up to be an unforgettable evening of real talk, great food, and top-tier data minds. I’m excited to sit down with Tomer Shiran (Dremio), Barr Moses (Monte Carlo), and Yoni Leitersdorf (Solid - Analytics Workflow Management) to cut through the noise and have an open, no-BS conversation about what’s actually working in data leadership today (and what’s not).

Forging the Path to AI Ready Data ?? Join us for an insightful live tutorial on March 12 at 10 AM PDT with Lior Gavish, Co-founder and CTO at Monte Carlo. This session will explore the critical importance of AI-ready data over models, first-party data, and best practices in data observability. ?? Register now: https://hubs.la/Q038VdL30 What we will cover: - Gain a high-level understanding of the current state of reliable AI across enterprise industries. - Learn how to navigate the evolving data and AI stack, the critical role of first-party data in the AI pipeline and the foundations of data and AI observability. - Explore the data architectures and processes required to build reliable, value-driving generative AI applications, including RAG and fine-tuning. - Real-world examples of best-in-class data teams who are successfully running customer-facing GenAI. - Discover best practices for operationalizing detection, triage, and resolution of data incidents that could impact the reliability of GenAI products. #AIReadyData #GenerativeAI #DataScience #AIInfrastructure #LLM #MonteCarlo #DataObservability

Great session from Michael Weiss today at #GartnerDA on Nasdaq's investment in data quality! Want to learn more? Check this out: https://lnkd.in/dZ_v8_aZ Stop by Booth #219 to chat with the team to learn more about data quality, data and AI observability, and more! #GartnerDA #dataquality #dataobservability #AIobservability #FinServ

What a fantastic night at our Data Leader's Dinner Club in Orlando last night! Thank you to everyone who attended! ?? Join us tonight after the event for our Data on the Rocks happy hour starting at 7pm! Register here: https://lnkd.in/eT6_PjAj #GartnerDA #dataleaders #dataobservability #AIobservability