Monte Carlo

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 feeding AI models is like tossing a log into the Amazon and hoping it makes a dam. Without automation and comprehensive root-cause insights to make alerts immediately actionable, we can't hope to protect our data at the breakneck pace of AI development. Check out my latest newsletter in the comments for how I'm thinking about automation for modern data quality teams—and what I think you should automate first.

Next week! See you at dbt Coalesce in Las Vegas! 🎉 Mark your calendar for the session by Samiksha Gour, Senior Data Engineering Manager at SurveyMonkey, on Wednesday, Oct 9th at 10:30am. ⭐ She'll share how her team uses dbt Labs and Monte Carlo to ensure proper governance, gain efficiencies by eliminating duplicate testing and monitoring, and use data lineage to ensure upstream and downstream continuity for users and stakeholders. See you there! https://lnkd.in/g9Nt6XWx #dbtcoalesce24 #datagovernance #dataanalytics #dataengineering

📦 NOW DELIVERED: our case study on how a leading on-demand delivery service drives #ai success with Alation Monte Carlo 📦 See how they boosted AI performance using trusted data, enhanced by Alation's data governance and quality improvements. Check out what their Senior Manager, Data Quality and Metrics had to say: 🧡 “By using Alation to certify data assets and Monte Carlo to demonstrate that those assets are being continuously monitored, my team can ensure that we’re providing trustworthy data to the data science team for their AI models.” 💜 “With Alation, everything was focused on the simplicity of the user interface. It was something that we knew we wouldn't have a hard time getting adoption for across the enterprise.” Read on 👉 https://lnkd.in/eC5g5uex #alation #alationcustomers #deliveryservice #alationaiready #alationpartners

See you at the next stop on our IMPACT World Tour: Atlanta! 🍑 Register here: https://lnkd.in/e6iRcBVZ

Looking for a sign to register for IMPACT Summit? This is it. 🏎️ 🏁 🏆 Register today and join us on November 14th and be entered to win a Las Vegas Grand Prix Experience! 🏁 It's time to steer your data and AI journey toward trust and reliability. Race you to the finish line! Get more info & register here: https://lnkd.in/e96PwesS #dataobservability #giveaway #dataquality #grandprix #dataquality

Ever wondered how data can predict the future? Or how a data-driven approach can help you win Olympic gold? At Monte Carlo’s IMPACT 2024 on November 14th, you’ll find out the answers to both of these questions – and more. This year, Monte Carlo will feature two incredible keynote speakers: Allan Lichtman, the mastermind behind the Keys to the White House, a model that has successfully predicted U.S. presidential winners for decades, and Allyson Felix, Olympic gold medalist in track and field. They’ll both share how data, statistics, and pattern recognition are not just tools, but gamechangers in shaping our world, achieving our goals, and building trust. Plus, you’ll hear from expert data leaders and practitioners from across industries who will share how their teams are building processes to promote trusted data and AI, including speakers from SurveyMonkey , PepsiCo , Roche , DraftKings Inc. , Grammarly , Earnest , Drata , Payoneer , ZoomInfo, Theory Ventures , and more. This yearly event brings the data community together to showcase the latest and greatest trends, technologies, and processes in data quality, LLMs, data and AI governance, and of course, data observability. Don’t miss this! Register here: https://lnkd.in/eTPU6uvt #IMPACT2024 #dataobservability #dataquality

Reliable data is the backbone of useful business insights—and keeping bad data out of production is step one. For most analysts, delivering reliable insights means writing data quality rules—lots of rules—to monitor for issues and data quality dimensions. But what if, instead of writing all those rules, you could automate them instead? Join Scarlett Whedbee on October 10th at 9am PT for a live demo to explore how AI-powered data quality features can accelerate incident detection workflows so you can spend more time delivering trusted business insights. She'll share how Monte Carlo can help you: ✅ Set up data quality checks 10x faster ✅ Operationalize data incident management on top of your existing data workflows ✅ Drive SLAs, KPIs, and other metrics around data quality for key data assets ✅ Use column-level lineage to root cause incidents Bring your questions! See you there: https://lnkd.in/eepfa5uC #dataobservability #dataquality #dataanalytics #datarules

Monte Carlo was ranked #38 (out of 200!) on Newsweek's Most Loved Workplaces®. A huge congratulations to the team—and our amazing customers—for making Monte Carlo an incredible place to solve problems together. Want to run with us? We're hiring! https://lnkd.in/esu9itJv

One thing I LOVE is in-person networking— especially in my hometown Atlanta!!🍑🏙 So calling all my ATL data folks to join Monte Carlo’s IMPACT World Tour which is stopping by ATL October 24 for a night of food, drinks, and discussion on how to ensure high-quality data for trusted AI. Data quality is a super hot topic right now especially when it comes to supporting AI products, so you don’t want to miss this event: https://lnkd.in/eiwFCetd We’ll also get to hear from Zachary Lancaster, Data Engineering Manager at Warner Brothers Discovery, on how he’s led his team to implement reliable data & AI. The best way to learn is to hear from others who have successfully done it! If you’re in ATL and you love data drinks delicious food, you HAVE to attend this event!! If you’re not in ATL, there will be a virtual event in November for you (link below!) #MonteCarloPartner

We're thrilled to share that Monte Carlo has been certified as a Most Loved Workplace® and named to America’s Top Most Loved Workplaces® list in Newsweek for 2024! ⭐ Thank you Louis Carter, Scott Baxt, and the Best Practice Institute for this recognition. We're so proud to embody our values – Customer Impact, Measure in Minutes, Ship and Iterate, Beat the Odds, and Have Fun – every single day. Thank you to our incredible team, our customers, and our partners in the industry as we continue to work together to build and define the data observability category. We're just getting started. 💪 Learn more (and check out our open roles!) here: https://lnkd.in/e9uGejxg #dataobservability #AI #mostlovedworkplaces #datacareer #dataquality