Satisfactory training does not equal real-world capability. In today’s AI-enabled, continuously evolving learning environments, traditional training evaluation models often fall short of proving real impact. This white paper examines why established approaches are straining and presents a modern framework for validating training effectiveness based on sustained capability, behavior, and performance in life sciences organizations.
WHITE PAPER
Rethinking Effectiveness in the AI Era: Why Training Metrics Fall Short
February 1, 2026
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Rethinking Effectiveness in the AI Era: Why Training Metrics Fall Short
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Rethinking Effectiveness in the AI Era: Why Training Metrics Fall Short
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Rethinking Effectiveness in the AI Era: Why Training Metrics Fall Short
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Rethinking Effectiveness in the AI Era: Why Training Metrics Fall Short
By completing this form, you consent to receive communications from Octane. You can unsubscribe from these communications at any time.