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Your AI strategy might look impressive on paper, but there's a hidden problem that could undermine everything: only 13% of the workforce has the skills to teach others how to work with data. While organizations rush to deploy AI tools and approve budgets, they're missing a crucial element—the human coaches who can validate AI outputs, spot flaws before they scale, and build team-wide trust in data-driven decisions.

True AI readiness is not about tools. It's about trust, transparency, and translation.

Before we scale AI, we must scale understanding. Our latest Global Data Literacy Benchmark research identifies a critical challenge...

AI-readiness depends as much on human competencies as on technical infrastructure.

AI is not coming. It is already here. Despite AI now becoming part of everyday work, most teams aren't ready to question or override its outputs. True AI readiness means human oversight - people who can challenge, validate, and explain what the machine delivers. Without it, automation becomes risk. The future belongs to those who can guide the machine, not just follow it.

Learn the first step in AI readiness: building data-literate teams who can understand and use insights.

Executives set the tone. Here's how CEOs can champion data literacy as a strategic asset - not an afterthought.

Discover why data initiatives often fail — and how assessing and building data literacy can unlock the full potential of your technology investments.

This guide will walk you through the steps to uncover your organization's data literacy gap and help you build a stronger, smarter team.

Discover how to build a successful data literacy program with our comprehensive guide. Learn key steps and best practices.

Kick-start your data literacy program in 2025 with essential strategies and tools for success.

Understanding Data Literacy and Its Importance Data literacy is all about being able to read, understand, and communicate data. It's not...