罗兰贝格:2025数据要务:生成式AI时代释放数据管理的价值研究报告(英文版)(24页).pdf

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罗兰贝格:2025数据要务:生成式AI时代释放数据管理的价值研究报告(英文版)(24页).pdf

1、STUDYHow data management unlocks value in the Generative AI ageThe Data ImperativeMANAGEMENT SUMMARYThe Data Imperative How data management unlocks value in the Generative AI ageAs companies massively ramp up their AI spending,this study examines how the very advances theyre investing in such as mul

2、timodal capabilities and human-like reasoning are simultaneously creating new challenges.Enterprises have ambitious hopes for how Generative AI(GenAI)can improve their processes,performance and profitability.However,while access to the underlying technology has become ubiquitous to the point of comm

3、oditization,data curation and management is the main sticking point for many.Drawing on a survey of 150 data and AI executives,the paper asks incisive questions to which executives quickly need answers.Strategies(and processes)for harnessing unstructured data especially proprietary unstructured data

4、 are a vital key to transforming GenAI from essentially a vanity project to a true competitive advantage.Data management practices before and since the advent of GenAI are contrasted,revealing a sizable gap between where companies stand today and what needs to change regarding data accessibility,qua

5、lity and integration.The paper concludes by spelling out four essential pillars of data-centric AI that,together,give enterprises a workable implementation path with the goal of unleashing the full transformative potential of GenAI.2|Roland Berger1/The state of enterprise AI:Reality vs.hype2/Paradig

6、m shift:The accelerating age of Generative AI 3/The future of data:How AI redefines data management4/The data readliness gap:Insights from 150 executives5/The implementation path:Building data-centric AI systemsCover Andriy Onufriyenko/GettyImagesContents P 3P 5P 10P 15P 18The Data Imperative|3The a

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