爱立信：2026 从数据困境到AI就绪型数据网格白皮书（英文版）（22页）.pdf

1、Ericsson White PaperGFTL-26:000204 UenJanuary 2026From data mess to AI-ready data meshFrom data mess to AI-ready data meshContentJanuary 20262ContentIntroduction 3Background context 4 Industry trends 5 Technology trends 5 Business trends 5Data management evolution 6Target business objectives 9North

2、Star vision 11Dataunificationandfederation12DataenablementandpreparationforAI12Dataintegrationanddatapipelineefficiency 13Datasecurity15Dataproductsandvalue15Reference architecture 16Standardizationactivities16Conclusion 17Authors 18From data mess to AI-ready data meshIntroductionJanuary 20263Introd

3、uctionOver the next decade,the telecommunications landscape will be shaped by the ability tounlockandutilizethefullpotentialofdataatanunprecedentedscale,speed,andintelligence.As a trusted partner,we have observed how sprawling Hadoop architectures andon-premisesplatformsinthetelecomsectorcanquicklyb

4、ecomebrittleasvolumesexpand and new use cases emerge.Inadditiontotheexpansionofdatavolume,datafragmentationacrossdomains,platforms,andschemasisaninevitableconsequence.Autonomousnetworkdomainelements,serviceassurance engines,customer experience agents,and other similar systems produce domain-specific

5、silos,whichmaydelaythehighlymulti-agenticoperationsthatcommunicationsservice providers(CSPs)seek to achieve.Inthedatamanagementlayer,thechallengeistomanagetheintegrationofhigh-volumedatainflowsfromdisparatesources,governthemovementandtransformationofthatdatasecurelyandwithintegrity,andbringthatdatat

6、oastateofreadinessforavarietyofconsumers,mostnotablythosewhowillapplyvariousartificialintelligence(AI)techniques.Hence,astrategicaugmentationofCSPdatamanagementarchitectureisrequiredonethatnativelyanticipatesdomainfragmentationbydesign,enforcesseamlessandsecureexchange,andguaranteesreadinessforamult