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Building Data & AI Literacy: The Essential Foundation for Organizational Intelligence
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Data & AI Literacy
Building Organizational Capability to Work with Data and AI
Programs and practices for developing data and AI skills across the organization. Covers data interpretation, analytical thinking, understanding AI fundamentals, recognizing AI capabilities and limitations, data-driven decision making, and fostering a data-and-AI-informed culture. Maturity advances from limited understanding among specialists to widespread literacy enabling self-sufficient, informed teams.
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AI Literacy for Leaders: The Organizational Redesign Problem Hiding Behind Technical Training
Focuses on the specific AI knowledge executives need to make sound strategic decisions without becoming practitioners. Covers capability assessment frameworks, risk evaluation, investment prioritization, asking the right questions of technical teams, and avoiding common misconceptions that derail AI strategy.
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The Forgetting Curve Problem: Why Data Literacy Training Doesn't Stick
Examines why traditional training programs fail to create lasting data literacy and presents alternative approaches that stick. Covers embedding learning in workflow, communities of practice, coaching models, incentive alignment, and measuring literacy outcomes that actually predict better decision-making.
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