Wipro：2025年Data4AI状况报告：助力首席数据与分析官规模化部署企业级AI（英文版）（59页）.pdf

1、Data,Analytics,and Artificial IntelligenceWIPRO LIMITEDState of Data4AI 2025 Journeys to help CDAOs scale enterprise-level AITable of ContentsSTATE OF DATA4AI REPORT4 Questions to Shape your AI Journey Executive SummaryLeadership Note Key InsightsPart 1:The Real Reason AI isnt scaling:Data Readiness

2、1.1:AI Aspirations are Rising Rapidly1.2:Only Few Organizations are Truly Data-Ready for AI1.3:Data Maturity Leaders Scale AI Better1.4:AI Maturity Lags Data Maturity Part 2:To Be Data-ready for AI,Organizations Must Know Where They Stand TodayPart 3:Action Plan3.1:By Archetypes3.2:The Framework to

3、Improve Data Readiness for AIPart 4:Stories of Navigating and Sustaining Leadership PositionsPart 5:Final ReflectionsResearch MethodologyGlossaryCredits and ReferencesAuthorsCredits and ReferencesState of Data4AI Report 2025|Wipro Limited|Confidential and for Limited Circulation 02State of Data4AI R

4、eport 2025|Wipro Limited|Confidential and for Limited Circulation 034 Questions to Shape your AI JourneyIs your organization struggling to scale AI?Why?Data Readiness for AIWhere does your organization stand on the data maturity spectrum?Determine your maturity fingerprintReady to unlock the full po

5、tential of AI?A practical framework to A-D-V-A-N-C-E your data readiness for AIHow have industry peers addressed data readiness for AI?Discover peer journeys and reflect on your possible path2134Executive SummaryAI aspirations of organizations are not commensurate with their data health and readines

6、s for AIUsing the fingerprint across listed key traits,organizations can identify the archetype that best reflects their current state.Find the maturity archetype with distinct traits or identifiers that best match your organizations current stateWe analyzed over 50 companies and found that only 14%