ON-DEMAND WEBINAR

Evolve your enterprise data architecture in the AI era

Wayne Eckerson (President, Eckerson Group) and Rick Hall (CEO, Coginiti) explore how Digital Twins can evolve enterprise data architecture in the AI era.

Key Takeaways from the Discussion: 

1. Traditional Architectures Won’t Scale for AI
Data architectures built for BI—batch-driven, fragmented, and downstream—lack the semantic clarity and feedback loops needed to support AI systems that learn and act in real time.

2. Digital Twins Offer a New Architectural Model
Digital Twins provide a virtual replica of enterprise operations—capturing real-time data flows, process logic, and decisions. They enable closed-loop systems where insights lead to immediate actions.

3. Semantic Layers Are Critical for AI Agents
AI agents need context. A unified semantic layer connects operational and analytical systems, enabling agents to interact meaningfully with the business—not just extract insights but take action.

4. You Don’t Have to Replatform Everything
Implementing a Digital Twin doesn’t require discarding existing systems. It works alongside your current stack—layering in structure, feedback, and adaptability without full replatforming.

5. Leading Enterprises Are Already On This Path
Companies like Palantir, ServiceNow, and Coginiti are redefining architecture by combining analytics and operations into real-time, semantic models that support AI deployment at scale.