AWS for Data

2025 CDO Insights: Scaling Generative AI for Value

Explore the key priorities, challenges and strategies for success for Chief Data Officers.

CDO Insights

Data is no longer just a business asset—it's the foundation of innovation in the generative AI era. As organizations race to harness this transformative technology, understanding how to leverage your data effectively has never been more critical.

This year, we've partnered with Harvard Business Review to decode how CDOs, data leaders, and their organizations are turning their data into generative AI success. This essential research provides a roadmap for organizations seeking to build the robust data foundations necessary for success in the generative AI age.

CDO Agenda 2025: Scaling Generative AI for Value

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Key Insights

Data Readiness is Critical

52% of organizations rate their data foundation's readiness for gen AI implementation as inadequate
Organizations are prioritizing data quality improvement (49%) and integration (46%) for gen AI success

Leadership and Strategy

89% of executive teams are directly involved in gen AI decisions
Cross-functional collaboration is emerging as a key success factor
Clear ownership of data and gen AI projects strongly correlates with implementation success

Implementation Focus Areas

Software engineering (61%) leads gen AI adoption
Customer service and employee productivity show highest impact
46% of organizations are actively improving data integration capabilities
42% are investing in talent development and team restructuring

CDO Agenda 2024: Navigating data and generative AI frontiers

Discover how Chief Data Officers are navigating opportunities and challenges brought by generative AI in this research by AWS and MIT CDOIQ. Learn more » Explore the key priorities, challenges, and drivers of success for Chief Data Officers in this inaugural CDO research by AWS and MIT CDOIQ.Learn more » Discover the four critical steps you can take to create a data-driven culture to drive business growth and innovation.

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