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AI success depends on what you feed it. In this highlight from our Retail Data and AI webinar, we compare Amazon’s data-first approach with Twitter’s repeated AI missteps.
Amazon built trust through years of improving data quality and linking every recommendation to a clear business outcome. Twitter, by contrast, shows what happens when AI learns from poor data and uncontrolled inputs. The lesson for retailers is simple: clean, well-structured data drives meaningful insight, while outdated systems and slow analytics leave organisations behind.