Data is a critical component of every business decision, yet many organizations are unaware of the significant costs associated with data quality issues. Poor data quality can result in an average annual cost of $12.9-15 million per year, and knowledge workers spend 50% of their time fixing bad data instead of driving business value. To address this issue, Acceldata is developing Agentic Data Management (ADM), a transformative approach that uses intelligent agents to actively monitor, learn, and ensure business continuity. The company's xLake Reasoning Engine powers these agents, enabling them to autonomously handle tasks across the data ecosystem, detect anomalies, and proactively address potential disruptions. With its adaptive AI anomaly detection capabilities, Acceldata is empowering enterprises to build intelligent, self-governing data ecosystems that redefine reliability and resilience.