Monte Carlo

Bad data affects us all. But when your data is directly correlated to your bottom line, that data downtime takes on a whole new dimension. Financial services companies are becoming increasingly reliant on the accuracy of first-party data to power top-line revenue drivers. And PrimaryBid is just one example of that. As a platform provider that helps companies connect retail investors to capital market transactions like IPOs, PrimaryBid requires an incredible degree of data volume and accuracy to protect the interests of its stakeholders. “Building and maintaining predictive models requires a steady stream of market stock price data,” said Andy Turner, Director Data & AI, “The source of that data needs to be absolutely 100% robust, or the predictions coming out of the models that we’re serving in production will fail.” In preparation for its global expansion, the PrimaryBid team decided to rebuild their data stack from the ground up in order to massively increase the scale of their operations—and that increased scale meant the risk and impact of bad data was about to get even greater. The Monte Carlo team sat down with Andy and three other members of the PrimaryBid team: Ian Harris, Director of Data Engineering, Jonathan Dungay, Analytics & BI Lead, and Rick Wang, Staff Data Engineer — to find out how they were preparing for data quality at scale—and how data observability was helping their team set a new gold standard for financial data reliability. Check out the link in the description for the full story.

We're thrilled to share that Monte Carlo was included in Database Trends and Applications' (DBTA) list of Awesome Companies in AI 2024! We're excited to continue to work to enable enterprises to build trustworthy AI with reliable, high-quality data. Learn more here: https://lnkd.in/ewqD-NNG Congratulations to all included! Check out the full list here: https://lnkd.in/dkjnfzm8

Great session from Matt Luizzi, Director of Business Analytics at WHOOP and Shane Murray, Field CTO at Monte Carlo yesterday at CDOIQ in Boston! 🔥 Learn more about building trustworthy GenAI pipelines with data observability here: https://lnkd.in/ewqD-NNG #CDOIQ2024 #dataobservability #GenAI #dataquality #datatrust

Today's the day! If you're at CDOIQ in Boston today, be sure to tune into Matt Luizzi, Director of Business Analytics at WHOOP and Shane Murray, Field CTO at Monte Carlo's talk on what it takes to successfully implement an LLM, happening at 4:30pm EDT. The'll be discussing how the data team at WHOOP has built and launched an internal GenAI chatbot to surface valuable data insights, enabling more reliable, data-driven decision-making and innovation. If you can't attend in person but you're interested in tuning into the livestream, DM us and we'll send you a code to register! #CDOIQ2024 #dataobservability #GenAI #dataquality

Data leaders: are your teams ticket takers or decision makers? IMO, there are two different types of data teams in this world: those who are reactive and those who are proactive. Reactive teams are helpful, but a cost center. The second? A value generator. Don’t get me wrong: there will always be some measure of ad-hoc ticket taking as a data practitioner. But the data teams that set metrics instead of just tracking them are the first to know when issues occur (instead of being alerted by stakeholders) and generate ROI instead of costs. Which would you rather be? #dataengineering

Are you at #cdoiq2024 in #boston? Join Monte Carlo's fireside chat this afternoon with WHOOP's Matt Luizzi and Monte Carlo's Shane Murray to discuss how to successfully launch a reliable #genAI chatbot. See you there! #dataobservability #dataquality

“How do I optimize performance while reducing cloud costs?” “How do I design a data and AI platform that supports multiple domains?” “Who owns data quality across disparate domains?” “How do I set up governance and observability processes that scale?” If these questions are keeping you up at night, you’re not alone. And better yet, on July 30th, Monte Carlo will answer these questions and more during their upcoming virtual webinar, Data Quality Day – Scaling Data Trust Across Business Domains. You'll hear leading strategies from:  -- Zach Wilson, Founder at DataExpert.io  -- Seth Y., Global Field CTO Snowflake  -- Zachary Lancaster, Data Engineering Manager at Warner Bros. Discovery  -- Bronte Baer, Data Platform & Analytics Manager at Earnest  -- Siva Veera, Data Engineering Manager at Riot Games  -- Barr Moses, CEO & Co-Founder, Monte Carlo Whether you're a data scientist, business leader, or IT professional, this webinar offers invaluable perspectives and strategies for scaling data trust across diverse business domains. Register today – you don't want to miss this! Register here: https://lnkd.in/d7DV6Cin #data #ai #dataquality #montecarlo #theravitshow

We'll be at Big Data London on September 18-19! If you'll be there too, be sure to plan to swing by Stand Y635 to chat all things data observability. 😎 Learn more and register here: https://lnkd.in/dwSvfFrj #bigdatalondon #dataobservability #dataquality #AI

📢 Calling all data leaders! 📢 Join us on July 30th for the latest webinar in our Data Quality Day – Scaling Data Trust Across Business Domains – a half-day virtual webinar featuring insights from leading data teams as they explore crucial strategies for ensuring data trust in a data-driven world. 🔥 You'll hear leading strategies from: ✅ Zach Wilson, Founder at DataExpert.io ✅ Seth Y., Global Field CTO Snowflake ✅ Zachary Lancaster, Data Engineering Manager at Warner Bros. Discovery ✅ Bronte Baer, Data Platform & Analytics Manager at Earnest ✅ Siva Veera, Data Engineering Manager at Riot Games ✅ Barr Moses, CEO & Co-Founder, Monte Carlo You don't want to miss this! Register here: https://lnkd.in/eceYmVsT #dataquality #datatrust #dataengineering #dataobservability #dataqualityday

Many organizations have deemed GenAI as a top priority. But what does it take to successfully implement an LLM in practice? Join Matt Luizzi, Director of Business Analytics at WHOOP, and Shane Murray, Field CTO at Monte Carlo at The CDOIQ Program Symposium on July 16th as they discuss how the data team at Whoop has built and launched an internal chatbot to surface valuable data insights, enabling more reliable, data-driven decision-making and innovation. They’ll talk through the challenges the team set out to solve with their GenAI chatbot, how they approached their GenAI strategy, and the role data quality and reliability plays in creating and executing impactful #GenAI initiatives. Register here: https://lnkd.in/eABnxP2p Interested in tuning into the livestream? DM us and we'll send you a code to register!