Closing the AI Diffusion Gap in Food Industry
Closing the AI Diffusion Gap in Food Industry
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This presentation explores the AI diffusion gap, highlighting the disparity between rising capabilities and actual value capture. It discusses the limitations of AI models as competitive advantages, emphasizing the importance of context and workflow. Key insights include the significance of proprietary data in driving value and a case study on Orbisk, which demonstrates substantial savings through effective AI application. The conclusion focuses on the need to evaluate AI investments through...