Scaling Generative AI for Value: Insights From Seth Earley
The Harvard Business Review Analytic Services article Scaling Generative AI for Value: Data Leader Agenda for 2025 explores how organizations can capture meaningful business impact from generative AI by strengthening their data foundations, governance models, and operating practices.
The piece features insights from Seth Earley, who highlights why data quality, information structure, and organizational readiness determine whether generative AI delivers value at scale. His perspective reinforces a central theme throughout the article: advanced models cannot compensate for weak knowledge foundations.
Key themes emphasized in Seth’s commentary
Data maturity drives AI outcomes. Seth stresses that generative AI can only perform well when fed accurate, well organized, and accessible information. Many organizations underestimate the effort required to create clean, governed, and consistently structured data.
Governance enables safe and sustainable scaling. Effective use of generative AI requires clear policies, defined decision rights, and ongoing oversight. Seth notes that organizations gain far more value when data governance is treated as a continuous discipline.
AI must serve business priorities. According to Seth, success comes from aligning generative AI initiatives with measurable outcomes rather than isolated experimentation. Companies that tie AI directly to business processes achieve stronger and more reliable returns.
Operational readiness is critical. Seth highlights the need for cross functional coordination and clear ownership models. Teams that understand how information flows across the organization are better prepared to support advanced AI workloads.
Seth’s insights offer practical guidance for leaders building the next generation of data driven capabilities and working to turn generative AI from experimentation into lasting business impact.
Read the full article
https://hbr.org/sponsored/2024/11/scaling-generative-ai-for-value-data-leader-agenda-for-2025