Articles from Monte Carlo

Monte Carlo, the leading data + AI observability platform, today announced it has been named the 2025 Databricks Data Governance Partner of the Year. The award highlights Monte Carlo's continued innovation and leadership in helping enterprises ensure reliable data and AI systems through end-to-end data + AI observability.

Monte Carlo, the leader in data + AI observability, today announced extended support for the Databricks Data Intelligence Platform through new integrations with Databricks AI/BI and Unity Catalog Metrics. These enhancements, unveiled ahead of the Databricks Data + AI Summit 2025, represent a major milestone in enabling AI-ready data at scale for joint customers of Databricks and Monte Carlo.

Monte Carlo, the leader in data + AI observability, today announced at Snowflake’s annual user conference, Snowflake Summit 2025, a strategic collaboration with Snowflake, the AI Data Cloud company, to support Snowflake Cortex Agents, Snowflake's AI-powered agents that orchestrate across structured and unstructured data to provide more reliable AI-driven decisions, within the Snowflake Cortex AI platform.

Monte Carlo, the leading data + AI observability platform, today announced the launch of unstructured data monitoring, a new capability that enables organizations to ensure trust in their unstructured data assets across documents, chat logs, images, and more, all without needing to write a single line of SQL.

Monte Carlo, the leading data + AI observability platform, announced the launch of observability agents, a suite of AI agents built to accelerate monitoring and troubleshooting workflows to improve data + AI reliability.

Monte Carlo, the data and AI observability company, today announced a series of product enhancements and new capabilities at its annual IMPACT Data Observability Summit, aimed at helping enterprises deliver reliable, trustworthy data to power their data and AI products.

Monte Carlo, the AI-first data observability platform, announced Tim Miller as the company’s first Chief Revenue Officer as it continues to bolster its leadership team. He will lead the company’s go-to-market operations worldwide, including business development, sales, and customer success.

Monte Carlo, the AI-first data observability company, today formally launched its Trusted Data for AI (TDAI) Advisory Council, featuring representatives from Pepsico, BP, CreditKarma, and other data-driven organizations. The TDAI Advisory Council is an exclusive group of top technology leaders assembled to make the data powering AI more trustworthy and reliable.

Monte Carlo, the AI-first data observability company, today announced the results of its new State of Reliable AI survey. Among a variety of critical insights, the report reveals that while nearly all data leaders surveyed are building generative AI applications, most don’t believe their data estate is actually prepared to support them.

Monte Carlo, the data observability leader, today announced a series of new product advancements to help companies tackle the challenge of ensuring reliable data for their data and AI products.

Today, Monte Carlo, the data observability leader, announced its keynote speakers for IMPACT: The Data Observability Summit, its annual virtual conference taking place November 8, 2023.

Monte Carlo, the data observability leader, today announced Data Product Dashboard, a new capability that allows customers to easily define a data or AI product, track the health of corresponding data tables and training sets, and report on the product’s reliability to business stakeholders, directly in their data observability platform.

Monte Carlo, the data observability company, today announced at Snowflake’s annual user conference, Snowflake Summit 2023, that it has achieved elite tier partner status from Snowflake, the Data Cloud company. As an elite partner, Monte Carlo can accelerate the digital transformation of joint customers to fully leverage the performance, flexibility and near-infinite scalability of the Snowflake Data Cloud.

Monte Carlo, the data observability company, today announced the results of its second annual State of Data Quality survey. The report reveals data downtime–periods of time when an organization’s data is missing, wrong, or otherwise inaccurate–nearly doubled year over year (1.89x).

Monte Carlo, the data observability company, today announced a new integration with the automated data movement platform Fivetran, giving users the ability to accelerate data incident detection and resolution by adding monitoring to data pipelines at the point of creation. With today’s announcement, Monte Carlo becomes the first data company to bring data observability to the entire orchestration layer, after integrations with Airflow, dbt Core and dbt Cloud were announced in 2022.

Monte Carlo, the data observability company, today announced Data Reliability Dashboard, a new functionality to help customers better understand and communicate the reliability of their data. The announcement was made at IMPACT 2022, the company’s annual Data Observability Summit, held both virtually and in-person October 25-26, 2022.

Monte Carlo, the data reliability company, today announced the launch of Data Quality Fundamentals: A Practitioner's Guide to Building More Trustworthy Data Pipelines, a book published by O’Reilly Media and available for free on the Monte Carlo website.

Today, Monte Carlo, the data observability leader, announced that Daniel Kahneman, the Nobel Prize-winning psychologist, economist, and author of Thinking, Fast and Slow, and Nate Silver, founder and editor-in-chief of opinion poll analysis website FiveThirtyEight, will keynote IMPACT: The Data Observability Summit, a hybrid conference, taking place October 25-26, 2022.

Monte Carlo, the data reliability company and creator of the data observability category, today announced the initial results of its 2022 data quality survey, which found that data professionals are spending 40% of their time evaluating or checking data quality and that poor data quality impacts 26% of their companies’ revenue.

Monte Carlo, the data reliability company, today announced integrations with Delta Lake and Databricks’ Unity Catalog, becoming the first provider of end-to-end data observability across these data lake and lakehouse environments, down to the BI layer.

Monte Carlo, the data reliability company, today announced they have raised $135M in Series D funding from IVP, with participation from Accel, GGV Capital, Redpoint Ventures, ICONIQ Growth, Salesforce Ventures, and GIC Singapore. With this round, Monte Carlo has raised a total of $236M in a 20-month period, most recently announcing their Series C in August 2021 and a suite of new product functionalities to help data teams achieve more reliable data.

Monte Carlo, the data reliability company, announced today the release of a new suite of data observability capabilities to help data teams automatically stop broken data pipelines before they impact the business.

Monte Carlo, the data reliability company, today announced Insights, a new capability that helps companies understand which data is most important for the business, and in turn increase data trust. Built on top of the Monte Carlo Data Observability Platform, Insights leverages machine learning for monitoring and ranks events and assets based on their usage, relevance, and relationship to other tables and assets. Insights is the first solution to offer customers operational analytics about their data platform. With Insights, customers can measure and optimize the reliability, performance, cost and effectiveness of their data initiatives.

Monte Carlo, the data reliability company, announced the launch of Data Quality Fundamentals: A Practitioner's Guide to Building More Trustworthy Data Pipelines, published by O’Reilly Media and available for free on the Monte Carlo website. This is the first book released by O’Reilly to educate the market on how best-in-class data teams design and architect technical systems to achieve trustworthy and reliable data at scale.

Today, Monte Carlo, the data reliability company, announced that Bob Muglia, entrepreneur, board member, and former CEO of Snowflake, and DJ Patil, the first U.S. Chief Data Scientist, will speak at IMPACT: The Data Observability Summit. Muglia’s fireside chat with Monte Carlo CEO Barr Moses will cap off the event, and touch on such topics as the rise of data in the cloud, challenges and opportunities in the current tooling landscape, and his vision for the future of data engineering and analytics.

Monte Carlo, the data reliability company, today announced that they have raised $60M in Series C funding from ICONIQ Growth with participation from Salesforce Ventures and existing investors Accel, GGV Capital, and Redpoint Ventures – bringing their total funding to $101M. With this round, Monte Carlo will fuel the growth of the Data Observability category, further develop its product offerings for our customers, support more use cases, and expand to new markets.

Monte Carlo, the data reliability company, today released Incident IQ, a new suite of capabilities that help data engineers better pinpoint, address, and resolve data downtime at scale through the Monte Carlo Data Observability Platform. Incident IQ automatically generates rich insights about critical data issues through root cause analysis, giving teams unprecedented visibility into the end-to-end health and trust of their data beyond the scope of traditional data quality solutions.

Monte Carlo, the data reliability company, today announced two new strategic hires to its leadership team: Daniel Day, Head of Marketing, and Jordan Van Horn, Head of Revenue. With experience leading award-winning go-to-market teams at Snowflake and Segment, Day and Van Horn share a deep expertise in the data industry and will help Monte Carlo meet the growing demands as the industry leader in Data Observability.

Monte Carlo, the data reliability company, today announced the availability of its integration with PagerDuty, a leader in digital operations management, to bring visibility to data pipelines and foster greater collaboration across data teams. With Monte Carlo joining PagerDuty’s Integration Partner Program, PagerDuty customers can now achieve Data Observability across every stage of the data lifecycle, from ingestion to analytics.

Monte Carlo, the data reliability company, today announced Berlin-based microlearning app Blinkist has selected Monte Carlo to achieve more reliable data through data observability.

Monte Carlo, the data reliability company, has been named to Inc. magazine’s annual list of Best Workplaces for 2021, as well as to the publication’s On the Rise category of companies under 4 years old. Hitting newsstands May 18 in the May/June 2021 issue, and as part of a prominent Inc.com feature, the list is the result of a wide-ranging and comprehensive measurement of American companies that have created exceptional workplaces and company culture whether teams are operating in person or remotely.

Monte Carlo, the data reliability company, today announced a partnership with Snowflake, the Data Cloud company, to help data teams trust their data and accelerate the adoption of analytics in the Data Cloud. This combination can provide Snowflake customers with end-to-end Data Observability across their entire Snowflake Data Cloud, from ingestion to analytics.