Summary
Success with AI depends heavily on unstructured data (e.g., images, text, video, behavioral signals) processed alongside structured data to create new insights, operational efficiencies, and customer experiences. While structured data powered traditional ML for decades, unstructured data was of limited use because most technologies could not process data without rigid formats. For example, OCR wasn’t particularly useful until LLMs provided contextual understanding. This report helps marketing and digital business leaders consider how innovative unstructured input solutions like computer vision, natural language processing, and biometrics can play a role in supercharging an AI strategy.
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