Actian has launched enhanced Data Observability capabilities designed to ensure only trusted data informs AI decisions and automated workflows. The new Data Observability Agents continuously validate data upon ingestion, identifying anomalies and providing explanations in plain language, thereby streamlining incident resolution. This proactive approach addresses the growing concerns about data accuracy in AI applications, as revealed by McKinsey, which reported that 51% of enterprises encounter negative outcomes due to AI inaccuracies.
Key features of the Data Observability suite include real-time anomaly detection, zero-copy integration for data validation, and tools that empower users to query data quality using natural language. Moreover, the new Model Context Protocol (MCP) server acts as a checkpoint within AI workflows, allowing secure verification of data quality in real time without disrupting operations.
Actian’s solutions provide organizations the ability to enhance data integrity, thus supporting successful AI and agentic AI initiatives. For more information, visit Actian’s website.
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