Monte Carlo Unveils Unstructured Data Monitoring, a No-Code Solution to Deliver AI-Ready Data at Scale
According to IDC, 90% of a company's data is unstructured, yet for many organizations, its reliability remains a blind spot. With its latest release, Monte Carlo becomes the first data + AI observability platform to close this gap, providing AI-powered support for monitoring both structured and unstructured data types.
Observability for the Next Generation of Data + AI Products
The advent of generative AI has turned unstructured data into a critical input powering analytics, data products, decision making, and AI applications. Monte Carlo users can now apply customizable, AI-powered checks to unstructured fields, allowing users to monitor for the quality metrics that are relevant to their unique use case. Monte Carlo goes beyond the standard quality metrics and allows customers to use custom prompts and classifications so as to make monitoring truly meaningful.
Example use cases include:
Flagging texts or images that miss critical details
Alerting on drifts in quality of customer service transcripts, as measured by customer sentiment
Validating model-generated outputs for tone, structure, or factual grounding
Surfacing content that doesn't belong based on topic classification
Now, the ability to monitor these and other unstructured data types is fully integrated into Monte Carlo's monitoring engine and can be deployed with just a few clicks.
Supported warehouse and lakehouse technologies include Snowflake, Databricks, and BigQuery, with native integration into each platform's respective LLM or AI function libraries, so that sensitive data never leaves customer environments. Teams can create and deploy monitors with minimal setup, ensuring faster time-to-insight and broader coverage.
'Enterprises aren't just building AI—they're racing to build AI they can trust,' said Lior Gavish, co-founder and CTO of Monte Carlo. 'High-quality unstructured data—like customer feedback, support tickets, or internal documentation—isn't just important; it's foundational to building powerful, reliable AI. It can be the difference between a model that performs and one that fails. That's why we designed our monitoring capabilities to proactively detect issues before they impact the business.'
Monte Carlo's expansion into monitoring unstructured data is part of our broader vision to provide visibility across the data + AI lifecycle, the company's strategic evolution from a standalone data observability pioneer to the industry's first end-to-end data + AI observability solution.
Building Trust in AI Starts With AI-Ready Data
Enabling AI-ready data means ensuring compatibility with the powerful data and AI solutions organizations rely on daily. To that end, Monte Carlo is also announcing integrations with both Snowflake and Databricks to support observability for their respective AI-native analytics platforms: Snowflake Cortex Agent and Databricks AI/BI.
Supporting Snowflake Cortex Agent and Databricks AI/BI
Monte Carlo continues its strategic partnership 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.
In addition, Monte Carlo is extending its partnership with Databricks to include observability for Databricks AI/BI – a compound AI system built into Databricks' platform that generates rich insights from across the data + AI lifecycle – including ETL pipelines, lineage, and other queries.
'AI applications are only as powerful as the data powering them,' said Shane Murray, Head of AI at Monte Carlo. 'By supporting Snowflake Cortex Agents and Databricks AI/BI, Monte Carlo helps data teams ensure their foundational data is reliable and trustworthy enough to support real-time business insights driven by AI.'
Attending Snowflake Summit June 2-5? Visit Monte Carlo's booth at #1508 or check out our other events at the conference here.
Attending Databricks Data + AI Summit June 9-12? Visit Monte Carlo's booth #F602 or check out our other events at the conference here.
About Monte Carlo
Monte Carlo created the data + AI observability category to help enterprises drive mission critical business initiatives with trusted data + AI. NASDAQ, Honeywell, Roche, and hundreds of other data teams rely on Monte Carlo to detect and resolve data + AI issues at scale. Named a 'New Relic for data' by Forbes, Monte Carlo is rated as the #1 data + AI observability solution by G2 Crowd, Gartner Peer Reviews, GigaOm, ISG, and others.
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