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Dataiku Agent Management

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Dataiku Agent Management is a standalone product designed to provide enterprises with comprehensive oversight and control over their AI agents, regardless of the platforms on which they were developed. As organizations rapidly adopt AI agents across various departments, maintaining visibility and governance becomes increasingly challenging. Dataiku Agent Management addresses this by offering a centralized system to discover, monitor, and manage AI agents, ensuring they deliver value while mitigating associated risks. One of the primary features of Dataiku Agent Management is its ability to scan and inventory AI agents across multiple platforms, including AWS Bedrock, Databricks Agents, Google Vertex, Microsoft Copilot Studio, Azure Foundry, Salesforce Agentforce, Snowflake Cortex, and Dataiku itself. This cross-platform compatibility ensures that enterprises have a unified view of all their AI agents, regardless of their origin. Each agent is cataloged with essential details such as ownership, purpose, and operational status, providing a clear understanding of the organization's AI landscape. Monitoring is another critical component of Dataiku Agent Management. The system tracks each agent's usage, cost, and performance metrics, allowing organizations to assess whether agents are functioning as intended and delivering the expected business value. By identifying deviations or performance issues early, enterprises can proactively address potential problems before they escalate. Risk management is integral to the platform. Dataiku Agent Management enables organizations to certify agents, conduct scheduled tests, and maintain comprehensive records of risk assessments and mitigations. This structured approach ensures that high-risk agents, especially those handling sensitive data or critical operations, are continuously evaluated and compliant with regulatory standards. The platform's ability to maintain an audit-ready record simplifies the process of responding to inquiries from managers, auditors, or regulators. Unlike traditional agent monitoring tools that are often confined to specific vendor ecosystems, Dataiku Agent Management is deliberately agnostic. It operates above the individual platforms, providing a holistic view of the entire agent portfolio. This overarching perspective allows organizations to identify unmonitored agents, assess risk concentrations, and evaluate the return on investment for each agent. Users can interact with the system using plain language queries, receiving comprehensive insights that span the entire AI agent landscape. In summary, Dataiku Agent Management equips enterprises with the tools necessary to effectively oversee their AI agents. By offering discovery, monitoring, and risk management capabilities across diverse platforms, it ensures that AI agents are aligned with business objectives, operate efficiently, and adhere to governance standards. This centralized approach empowers organizations to harness the full potential of their AI initiatives while maintaining control and compliance.

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