毕马威（KPMG）：2025数据质量“三位一体”：赋能AI成功的数据质量新兴要务研究报告（英文版）（12页）.pdf

1、The DQhome.kpmg/inOctober 2025KPMG.Make the Difference.Data Quality for AI Success:Emerging ImperativesA Perspective Report Trifecta Data Quality for AI Success:Emerging ImperativesTable ofContentsIntroductionEmerging imperatives on DQ for AIa)Business-Led,Process-Fedb)360 Integration within Data Te

2、amsc)Observe,Detect,Act:The Power of Observabilityd)Semantic Intelligence through metadata qualitye)The Full Picture:beyond Mastersf)Agnostic by Principle,Flexible by DesignA Strategic Lens for AI Maturity1232The DQ Trifecta 345AuthorsKey ContactsForeword101112 2025 KPMG Assurance and Consulting Ser

3、vices LLP,an Indian Limited Liability Partnership and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited,a private English company limited by guarantee.All rights reserved.Data Quality for AI Success:Emerging ImperativesData Quality f

4、or AI Success:Emerging Imperatives3The DQ Trifecta We see it in headlines across all industries billions are poured into AI startups,and executives and influencers promote AI as the silver bullet for productivity,creativity and cost efficiency.But the hard reality is your AI programs are only as goo

5、d as the data that flows into them.If data is the critical fuel,then an effective data quality methodology must be the discipline required to ensure trustworthy data.But no surprise,yesterdays data quality methodologies dont quite make the grade in todays overwhelmingly data-driven digital world.If

6、we believe that data is the lifeblood of decision-making,innovation,and trust,what must we do differently in our data quality processes?What new and innovative approaches must we take to pin down the challenges of achieving trusted data for our AI programs?The DQ Trifecta Data Quality for AI Success