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1、Data 4.0:making your data AI-readySeptember 20243Data 4.0:making your data AI-readyTable of contentsChapter 1:Why do businesses need AI-ready data?Chapter 2:The evolution towards Data 4.0Chapter 3:Achieving AI-ready dataChapter 4:Data readiness and governance for Indian enterprisesChapter 5:Preparin

2、g data for an agentic future07132127314Data 4.0:making your data AI-readyArtificial Intelligence(AI)and Generative AI(GenAI)are transforming how businesses operate,innovate and compete.However,one crucial factor underpins their success:data quality.Just as advanced algorithms and powerful computers

3、are essential,so too is the quality of the data they rely on.Today,high-quality data forms the backbone of modern business operations.Effectively leveraging this data,however,presents its own set of challenges.The speed and accuracy of AI outputs depend on accessing current,relevant datasets,while p

4、oor-quality data can lead to flawed outcomes.This growing recognition of datas importance has driven a significant evolution in data management,moving from simple digital records to sophisticated,cloud-native data stacks.These systems,provide flexibility,scalability and integration capabilities,whic

5、h are key to unlocking AIs full potential.Data 4.0 marks a major leap forward by treating data as a central,strategic asset essential for digital transformation.It adopts cloud-native,metadata-driven approaches and harnesses intelligent automation to deliver operational insights at scale.This report

6、 provides timely,practical guidelines grounded in real-world experiences and a forward-looking view of how organizations should assess their data landscape.It traces the evolution of data management and introduces a seven-pillar framework for AI-ready data,addressing both technical and strategic asp