The agents are coming: Is your enterprise data ready?

Building AI-ready data foundation with connected, contextual, and reliable digital thread

Are you AI ready?

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Overview

Emerging technologies like AI and digital engineering are transforming how organizations operate, but their success depends on data that is connected across systems, up to date, and rich in context for governance, compliance and trust. AI is only as effective as the data behind it. The growing adoption of AI makes a trusted digital thread essential. Data readiness challenges hinder digital thread adoption as data lives fragmented across tools with incomplete context and broken traceability.

In this webinar, discover how to build a trusted foundation for AI and digital engineering through disruption-free data interoperability, a federated digital thread, and actionable lifecycle intelligence.

Find out how teams can get connected, current data in their own tool, with one source of truth across the ecosystem, for operational data-driven decision making and to modernize engineering processes.

What will be covered?

Why initiatives to adopt emerging technologies like digital engineering, AI, etc., fail
Why digital engineering and AI success depends on data readiness
Key challenges enterprises face to create AI-ready data foundation
How a federated digital thread creates a trusted foundation for AI and digital engineering
How rich data enables actionable lifecycle intelligence and data-driven decisions

Who should attend?

This webinar is designed for professionals and teams responsible for digital engineering, enterprise modernization, and AI initiatives, including:

MBSE system architects
Head of systems engineering
Director of digital engineering
Engineering tools lead
Principal architect (PLM/ALM/MBSE)
Digital thread / digital engineering managers
AI and digital transformation leaders
IT and enterprise integration teams
Manufacturing and quality leaders
Program and PMO leaders

Key takeaways

Understand why disconnected enterprise data limits AI adoption
Improve visibility and traceability across the product lifecycle
Ensure AI has access to connected, contextual data
Strengthen governance and collaboration across engineering ecosystems
Build an AI-ready foundation without disrupting existing tools, processes, or ongoing work

Whether your organization is beginning its AI journey or expanding digital engineering initiatives, you’ll gain insights into how to prepare your enterprise data for AI success.