1、2025 INDUSTRY REPORTIn association withDATA GOVERNANCE IN THE AGE OF GENERATIVE AI&AGENTIC AIINSIDE:The critical role of data governance in successful AI adoptionKey data governance frameworks,KPIs and metricsThe biggest success factors and challenges of data governance for AIInsight from leaders at

2、 Marks&Spencer,Navy Federal Credit Union,AI in Cardiology Working Group and Global Council for Responsible AI“When governance practices are weak,generative AI models become vulnerable to disinformation,bias,regulatory breaches and security gaps.”Rahul Zende,Navy Federal Credit UnionData governance i

3、n the age of generative AI&agentic AI2Data governance in the age of generative AI&agentic AIGenerative AI is transforming the business landscape at an unprecedented scale.Generative AI use jumped from 55 percent in 2023 to 75 percent in 2024,according to research from Microsoft and analyst firm IDC.

4、Meanwhile,Gartner predicts that,by 2026,more than 80 percent of enterprises will have used generative AI models and/or deployed generative AI-enabled applications in production environments,up from less than 5 percent in 2023.Since its explosive rise in 2022,Generative AI has become a strategic prio

5、rity for organizations,driving automation,efficiency,compliance and customer engagement to transform operations at scale.Behind the momentum lies a critical enabler of sustainable AI success data governance.As businesses accelerate generative AI adoption,strong data governance becomes non-negotiable

6、.A robust data foundation is essential for the success of any generative AI initiative;without it,organizations risk squandering investments and overlooking strategic opportunities.Yet more than 50 percent of enterprises dont even track data quality metrics and,according to Gartner,60 percent will f