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Summary
Most organizations have an AI roadmap but few can prove their team is ready to execute it. This webinar explores why AI initiatives stall before reaching production, often due to unverified skill gaps hiding behind good intentions. It covers what it takes to build real AI fluency at scale, and introduces a practical way to assess whether your team's capability matches your roadmap before the gap becomes a delivery risk.
Key Talking Points
Measuring and demonstrating workforce AI readiness - Explore how organisations can assess current AI capabilities and establish meaningful evidence of workforce readiness.
Identifying skill gaps before they become delivery risks - Understand how unverified capability gaps can impact AI initiatives and discover practical approaches to closing them.
Building AI fluency at scale across the workforce - Examine strategies for developing the skills needed to support responsible and effective AI adoption across organisations.
Keeping workforce skills aligned with an evolving AI landscape - Discover how organisations can continuously assess and develop workforce capabilities as AI technologies and requirements evolve.
Join AI Magazine and Pluralsight to explore practical strategies for moving beyond AI ambition and building the workforce readiness needed to deliver AI initiatives successfully.
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Session Highlights
AI Readiness
Assess whether workforce capabilities match your organisation’s AI roadmap
Skill Gap Identification
Uncover hidden capability gaps before they become delivery risks
Workforce AI Fluency
Build the skills needed to support responsible AI adoption at scale
Continuous Capability
Keep workforce skills aligned with rapidly evolving AI technologies and requirements
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Speakers
Faye Ellis
Author Fellow
Pluralsight

