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This session offers insight into the seamless integration of AI within the CTERA Intelligent Data Platform. Embedded AI and analytic Enterprise Data Services are explored, along with the underlying data fabric that facilitates secure, global data connectivity and ensures high-performance access. Additionally, the session demonstrates how agentic AI advances productivity, enabling virtual employees to interact efficiently with private data resources while maintaining robust security and operational effectiveness.
CTERA’s approach to enterprise intelligence is structured around three key pillars. The first pillar focuses on embedding AI and analytics within data management for enhanced security and data quality. This includes real-time inspection of I/O for anomaly detection and integration with security solutions like Purview. The second pillar involves providing a data foundation and fabric for AI training and inferencing, offering a global namespace for data aggregation and access, along with real-time metadata notifications and direct object access via a direct protocol that bypasses the CTERA portal.
The third pillar introduces agentic AI, enabling virtual employees to interact with private data resources efficiently. This pillar provides a semantic layer, allowing connections to various data sources (including non-CTERA systems), enrichment of metadata, and normalization of permissions across different data sources. This facilitates semantic searches and retrieval of relevant documents, empowering users with productivity-enhancing tools within a secure environment and answering questions with a chat-based interface.
Personnel: Saimon Michelson
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