Organizations are being urged to adopt AI quickly, but the author argues that direction is more important than speed. A utility company deployed AI for call center documentation, but this did not address a critical underlying data quality issue impacting revenue. In contrast, an insurance company that had invested in data foundations for regulatory compliance was able to quickly leverage AI to identify high-risk buildings after Grenfell-related regulations were introduced. The key takeaway is that AI strategies should focus on having the right foundations in place to tackle significant problems, rather than simply moving fast on any available use case. AI
IMPACT Highlights the importance of foundational data quality for effective AI implementation, suggesting a strategic shift from rapid deployment to targeted problem-solving.
RANK_REASON Opinion piece discussing strategic AI adoption.
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