Insights
Inspiration, opinions and practical advice – shaped by hands-on experience – around how to turbo-charge cloud initiatives.
Can You Trust Your AI? Why AI Governance Comes First
AI without governance is more than a technical liability. It exposes enterprises to compliance failures, reputational damage, and wasted investment. The most sophisticated model can collapse under the weight of bias, inconsistent data, or misaligned expectations if no one has defined how it should be governed.
PREPARING FOR AI - DO YOU HAVE THE DATA?
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.
From Pilot to Production: The AI Readiness Checklist
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.