AI success is not solely dependent on better models, larger datasets, or faster tools—it fundamentally relies on governance.

In this webinar, Paulo Robles, Technical Director at VEscape Labs, joins Damon Quimby, AI Governance Specialist and Solutions Architect at TD SYNNEX, to explain why AI governance is essential for creating trustworthy, compliant, and scalable AI systems.

Whether you're just beginning your AI journey or already using AI in production, this session will help you avoid common pitfalls and demonstrate how effective governance can foster innovation instead of hindering it.

Pablo Robles, Technical Director at VEscape Labs, recently partnered with TD SYNNEX and IBM WatsonX Solutions Architects Tayler Mondina and David Avila to explore why data readiness is the foundation of every successful AI initiative.

The webinar addressed a critical truth: most AI projects fail not because of algorithms, but because of poor data quality, siloed systems, and inaccessible information. Through real-world examples—from retail clients improving demand forecasting to logistics companies optimizing routes—the experts outlined three essential pillars for AI success: quality, accessibility, and integration.

A practical, experience-backed playbook to assess AI readiness across data, people, process, and governance—then ship a thin-slice use case with measurable SLOs, policy-as-code guardrails, and cost controls on IBM watsonx.