BPI Network:2025生成式AI竞争优势构建之路报告:数据就绪助力商业价值释放(英文版)(41页).pdf

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BPI Network:2025生成式AI竞争优势构建之路报告:数据就绪助力商业价值释放(英文版)(41页).pdf

1、IS YOUR DATA PREPARED TO UNLOCK GEN AIS BUSINESS VALUE?THE BPI NETWORK REPORTIN PARTNERSHIP WITH2 2025 BPI Network.All rights reserved.THE PATHWAY TO GENAI COMPETITIVE ADVANTAGEThe rapid evolution of Generative AI is reshaping industries,promising not just incremental efficiency gains but a signific

2、ant shift in competitive advantage.However,unlocking GenAIs full potential isnt a givenit requires a foundation of well-prepared,high-quality data.Without it,even the most sophisticated AI models will stumble,producing unreliable insights,introducing compliance risks,and ultimately,derailing ambitio

3、us initiatives.The stark reality:Many GenAI projects are failing.Why?Organizations that dont enable and support their AI use cases through an AI-ready data practice see over 60%of AI projects fail,according to Gartner.This challenge is preventable,but only if organizations take a proactive,strategic

4、 approach to their data.Discovering,classifying,enriching,and securing data isnt just an IT concern its a business imperative.Without AI-ready data,even the most promising GenAI use cases will fail to deliver.Our latest research,conducted in collaboration with the Business Performance Innovation(BPI

5、)Network and the Growth Officer Council,explores whether organizations data is truly primed to unlock GenAIs next-generation business value.It focuses on four critical pillars:Data Quality,Accuracy&Reliability,Security&Privacy,and Cost&ROI.FOREWORDThe findings are striking:While 79%of business leade

6、rs believe GenAI will deliver a competitive advantage in the next 18 months,60%admit they lack confidence in their organizations data-AI readiness.This gap between ambition and execution is where true competitive differentiation lies.Leveraging data preparation to advance AI initiatives is something

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