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Monte Carlo Brings GenAI to Data Observability
Monte Carlo has made a name for itself in the field of data observability, where it uses machine learning and other statistical methods to identify quality and reliability issues hiding in big data. With this week’s up Read more…
Monte Carlo Detects Data-Breaking Code Changes
There are many causes of data corruption in our world, including human error, malware, and even cosmic rays. Now the folks at data observability firm Monte Carlo have come up with a way to detect another source of errone Read more…
Data Quality Getting Worse, Report Says
For as long as “big data” has been a thing, data quality has been a big question mark. Working with data to make it suitable for analysis was the task that data professionals spent the bulk of their time doing 15 yea Read more…
GenAI Doesn’t Need Bigger LLMs. It Needs Better Data
An exorbitant amount of time and energy is being spent developing and talking about the technology that goes into large language models. While the tech is indeed impressive, businesses that are building generative AI app Read more…
Data Quality Is Getting Worse, Monte Carlo Says
Despite the availability of better tools and technology, the quality of data is getting worse, according to a new report issued by data observability provider Monte Carlo. The instances of bad data taking an application Read more…
10 Items to Consider for Data Privacy Day
In case your calendar isn’t showing Data Privacy Day occurring this Saturday, January 28, consider this your warning. Acknowledging the importance of data privacy is one thing, but taking the steps to ferret out the po Read more…
AWS Bolsters Glue ETL Tool with Data Observability, Ray Support
AWS has made a big push into data management during re:Invent this week, with the unveiling of DataZone and launch of zero-ETL capabilities in Redshift. But AWS also bolstered its ETL tool with the launch of Amazon Glue Read more…
Monte Carlo Survey Finds Data Engineers Spend 40% of Their Workday on Bad Data
Monte Carlo released a report this week that found that data engineers spend 40% of their workday on average evaluating or checking data quality. For its 2022 State of Data Quality Survey, Monte Carlo joined Wakefield Read more…
This Just In
SAN FRANCISCO, Nov. 15, 2024 — Monte Carlo, the data and AI observability company, has 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. Read more…
SAN FRANCISCO, Aug. 1, 2024 — 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. Read more…
SAN FRANCISCO, June 4, 2024 — Monte Carlo 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. Read more…
SAN FRANCISCO, Nov. 8, 2023 — Monte Carlo, a 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. Read more…
SAN FRANCISCO, Sept. 19, 2023 — Monte Carlo today announced its keynote speakers for IMPACT: The Data Observability Summit, its annual virtual conference taking place November 8, 2023. Read more…
SAN FRANCISCO, April 4, 2023 — 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. Read more…
SAN FRANCISCO, Oct. 26, 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. Read more…
LONDON, Oct. 19, 2022 — DataOps.live, the software company dedicated to helping organizations build, test and deploy their critical data applications and data products more effectively, and Monte Carlo, the data reliability company, today announced availability of the DataOps.live Orchestrator for Monte Carlo. Read more…
SAN FRANCISCO, Oct. 4, 2022 — Monte Carlo 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. Read more…