Explore the benefits of AI in supply chain, prioritize high-impact use cases and mitigate risks to implementation., whereby I agree to provide Gartner with my personal information, and understand that information will be transferred outside of mainland China and processed by Gartner group companies and other legitimate processing parties and to be contacted by Gartner group companies via internet, mobile/telephone and email, for the purposes of sales, marketing and research.
Few chief supply chain officers have a reliable framework to source, organize and assess different proposals from their teams for generative AI. But limited understanding of the precise applicability of GenAI isn’t stopping them from trying to capture first movers’ advantage; almost 70% of business leaders believe the benefits of generative AI adoption outweigh the risks.
Building an effective organization: This includes executing a talent strategy and establishing the right culture.Information discovery: Provide answers to questions based on prompts.Classifying content for specific use cases: Sort content into sentiments or topics that aren’t specifically programmed.
This type of AI aims for a net improvement in larger-scale supply chain operations. It goes beyond everyday, low-risk, productivity-focused use cases, but is not yet significant enough to augment supply chain management in broad terms.This type of AI aims for a net improvement in market leadership. Creative, innovative solutions can augment core operations, lead to new sources of revenue or even leave a lasting societal or cultural impact.
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