Neal Shelley’s Post

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Passionate about leveraging data to improve brand-consumer relationships | Digital Innovation via Better Data | AI/ML | ZoomInfo & HubSpot Certified | Staffordshire Terrier Enthusiast

This McKinsey article got me thinking about how crucial data quality is for successful #AI initiatives. One stat really stood out: 72% of leading organizations say managing data is their top challenge in scaling AI. The challenge isn't just about having data – it's about ensuring that data is complete and unbiased. When we pick and choose what data to collect, we inadvertently introduce bias into our AI models. The key to ethical AI? A comprehensive approach to first-party data capture that reflects real customer behavior without bias. How is your organization managing data collection for AI initiatives? Let’s share insights! #DataQuality #FirstPartyData #DataCapture #Celebrus #AIEthics 

The data dividend: Fueling generative AI

The data dividend: Fueling generative AI

mckinsey.com

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