Organizations Break Data Silos Enabling AI Interoperability
TDWI hosts an expert panel webinar on March 16, 2026, led by Deanne Larson with speakers Dave Mariani, Suda Srinivasan, and Mike Frasca addressing data silos and interoperability for AI and analytics. Panelists will examine data virtualization, metadata-driven integration, semantic layers, knowledge graphs, and emerging interoperability standards to enable discoverable, governed cross-domain data access. The session outlines architectures and frameworks to support multimodal AI deployments.
Key Points
- 1Identify persistent data silos across clouds, business units, and platforms that limit AI visibility and scalability
- 2Advocate metadata-driven integration, data fabrics, and semantic layers to enable unified, governed data access
- 3Enable practitioners to design interoperable architectures supporting cross-domain and multimodal AI applications
Scoring Rationale
Official sponsored webinar with recognized experts and practical topics; limited novelty and shallow detail in announcement, needs follow-up for actionable guidance.
Sources
Public references used for this report.
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