Anomalo announces deep integration with Databricks for autonomous data quality
The integration spans five layers including Lakebase, Unity Catalog, and Genie, ensuring trustworthy data for AI agents.
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Autonomous AI-powered data quality platform
anomalo.comLast updated
In short: Anomalo expanded its AI-driven data quality ecosystem through major platform launches, strategic Snowflake investment, and marketplace expansions.
The integration spans five layers including Lakebase, Unity Catalog, and Genie, ensuring trustworthy data for AI agents.
The platform includes a native Snowflake app, Cortex AI support, and partnerships to enhance data quality and agentic workflows.
Anomalo’s autonomous data insights connect to ServiceNow Data Catalog for unified visibility, rapid troubleshooting, and prescriptive insights. This partnership enhances proactive governance and enterprise AI.
Equifax rebuilt data quality using Anomalo's AI-driven anomaly detection across 3.6 billion tradelines. Implementation took 12 months with cross-functional collaboration and integrations.
Anomalo introduced Self-Driving Data, a new category of agentic capabilities where data can monitor itself, explain what changed...
Anomalo, the company that built the deepest automated data quality platform in the enterprise, today introduced Self-Driving Data, a new category of agentic capabilities where...
Anomalo, the company reinventing enterprise data quality, today introduced AIDA, Anomalo’s Intelligent Data Analyst, an AI ...
Anomalo Inc. today launched a new tool that aims to help enterprises keep check on the unstructured information that's becoming critical to the success of...
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