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Modern Data Analytics and AI [LRN3355].pdf

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1、Cloud modernized data analysis platform based on Autonomous Data WarehouseKDDIsData Analysis PlatformKDDIYUSUKE SUZUKI Oracle CloudWorld Copyright 2024,Oracle and/or its affiliates1AgendaintroductionKDDIs challenges and goals in data utilizationKDDIs data analysis platform using OCI Oracle CloudWorl

2、d Copyright 2024,Oracle and/or its affiliates2introductionOracle CloudWorld Copyright 2024,Oracle and/or its affiliates3KDDIs introduction and our projects missionOracle CloudWorld Copyright 2024,Oracle and/or its affiliates4KDDI is a major telecommunications company in Japan and our customer is ove

3、r 67 Million users.We have adopted a strategy centered around 5G/data driven/generative AI.Our Projects MissionThe data-driven transformation of facility construction,development,and operations to improve communication servicesCommunications Infrastructure Data:The logs generated from various infras

4、tructure facilities for conducting communication across JapanAggregating Communications Infrastructure DataProvide platform that allows employees to utilize dataKDDIs StrategyKDDIs challenges and goals in data utilizationOracle CloudWorld Copyright 2024,Oracle and/or its affiliates5KDDIs Challenges

5、in Utilizing Communications Infrastructure Data6There were numerous siloed analytical systems in each business requirements,leading to increased costs and prolonged data utilization times.System1DataSourceDataSourceDataSourceDataSourceDataSourceData StoreBI/AnalysisCollectorSystem2Data StoreCollecto

6、rSystem3Data StoreCollector2 31 Analysts_1Analysts_3Analyst_2BI/AnalysisBI/AnalysisAnalysts_44 1.Mesh-type data collection 2.Data is siloed3.Individual BI and data analysis tools4.Users without environment to utilize dataThe increase in costs prolonged data utilization timesOracle CloudWorld Copyrig

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KDDI是一家日本的电信公司,拥有超过6700万用户。为了提高通信服务,KDDI围绕5G、数据驱动和生成式AI采取了战略。他们面临的数据利用挑战包括多个业务需求下的孤岛式分析系统,导致成本增加和数据利用时间延长。为解决这些问题,KDDI引入了基于OCI的自主数据仓库,构建了一个现代化的数据分析平台。这个平台实现了数据集中收集、集中聚合和提供数据、标准化BI/分析工具以及为员工提供更广泛的数据利用环境,从而实现了显著的成本降低和数据利用时间的缩短。此外,KDDI还利用OCI的对象存储、数据科学服务和托管BI服务,以及高性能自动扩展和集成的数据库,为数据科学家和分析师提供支持。通过使用ADW和Data Studio,KDDI实现了数据整合和快速的数据利用。这个平台通过简化的REST API部署,也预期会加速其他系统中的数据利用。
"KDDI如何通过新数据平台降本增效?" "OCI如何助力KDDI实现数据快速利用?" "KDDI数据平台如何提高数据分析师的工作效率?"
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