赞助商：Prophecy 准备好迎接 GenAI 了吗？调查显示受管控的自助服务是数据团队的新策略.pdf

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1、Survey Says Governed Self-Service Is the New Playbook for Data TeamsReady for GenAI?Mitesh ShahVP Product MarketingWorking within guardrails set by the central data platform teamGovernanceData EngineerAI-native analytics&automation platformData analysts prepare data on their ownSelf-serviceData Anal

2、ystSurveyed 500 data executives to learnData teams current use or plans for adoption of GenAIadoption of GenAIBarriers Barriers impeding data teams adoption of GenAI Results Results(actual&expected)from GenAI adoptionAggregateAnalytics and AIBusiness IntelligenceReportingMachine Learning,Generative

3、AIOperational DataApplicationsOLTP DatabasesFilter,clean,augmentIngestClean,trusted data fuels Analytics and AIData Data EngineeEngineerData engineers are the unsung heroes,getting data in shape for Analytics and AI use cases18.What are your top data team challenges?Onboarding and ramping up new dat

4、a engineersLeveraging cross-functional skills and expertise in data processesScaling team capabilities to meet growing data demandsFinding and hiring highly skilled data engineersPersonnel is a primary concern Personnel is a primary concern as organizations report both finding and hiring data engine

5、ers and scaling team capabilities as a top data team challenge.50%52%53%53%But more than half(53%)of data leaders struggle with finding&hiring skilled data engineersv34%30%20%10%6%DataingestionDataanalysisData governance12.What part of the data and analytics process will see the most impact from app

6、lying genAI?DataqualityData transformation and preparationThe Top Data&Analytics Processes That Will See the Most Impact From Applying Gen AIGenAI will help,especially for data transformation&prep15.What gen AI use cases is your organization considering for data access and preparation?51%Data tests