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 launched its autonomous Self-Driving Data platform and secured strategic funding from Snowflake Ventures to advance AI-driven data quality.
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 helps enterprises build confidence in the data they use to make decisions and build products. Enterprises can simply connect Anomalo's complete data quality platform...
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 ...
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