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CC Research Topics
Agentic AI & GenAI for Data Management
Agentic AI and generative AI offer new opportunities to redesign data management workflows and delegate complex tasks to AI agents. However, organizations still need to determine which tasks are suitable for delegation and how agentic systems can be implemented safely and effectively. This co-innovation explores and creates agentic AI reference architectures for data management, key application areas, agent interaction maps, risk assessment, and governance principles.
Unstructured Data & Semantic Layer
Organizations generate vast volumes of unstructured data, yet much of this information remains difficult to access, manage, and reuse. Recent advances in generative AI create new opportunities to leverage documents, messages, images, and other unstructured sources, but their success depends on reliable data preparation and meaningful context. This co-innovation explores and creates use case archetypes, data preparation blueprints, data readiness checklist, a metadata model, and reference models for semantic layers and unstructured data management.
