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008 230313b ||||| |||| 00| 0 eng d
020 _a9789811668227
082 _a658.054
_bMA
100 _aMa, Yun
_911956
245 _aEnterprise data at huawei:
_bmethods and practices of enterprise data governance
260 _bSpringer
_aSwitzerland
_c2022
300 _axxii, 240 p.
365 _aEURO
_b119.99
520 _aThis book systematically introduces the data governance and digital transformation at Huawei, from the perspectives of technology, process, management, and so on. Huawei is a large global enterprise engaging in multiple types of business in over 170 countries and regions. Its differentiated operation is supported by an enterprise data foundation and corresponding data governance methods. With valuable experience, methodology, standards, solutions, and case studies on data governance and digital transformation, enterprise data at Huawei is ideal for readers to learn and apply, as well as to get an idea of the digital transformation journey at Huawei. This book is organized into four parts and ten chapters. Based on the understanding of “the cognitive world of machines,” the book proposes the prospects for the future of data governance, as well as the imaginations about AI-based governance, data sovereignty, and building a data ecosystem.
650 _aArtificial intelligence
_91478
650 _aBusiness--Data processing
_9840
650 _aManagement science
_9754
650 _aBusiness information services
_910199
942 _2ddc
_cBK