digital era: ai enables enterprises to continuously develop with high quality
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ai upgrade and data governancetao jingwen emphasized that if enterprises want to use ai technology, they must first upgrade their ai data governance system. the large amount of structured data accumulated in the information age and the large amount of documents generated by past enterprise operations cannot be directly recognized and learned by ai. he pointed out that in order to deeply integrate ai models with data tool chains, it is necessary to superimpose a layer of ai security governance and ai digital production lines on the basis of traditional data governance and data platforms, and then build new ai services for enterprises based on huawei cloud's new ai computing power platform.
“three layers, five levels and eight steps”: realizing scenario-driven intelligencein order to overcome the application challenges of ai, huawei proposed a "three-layer, five-level, eight-step" methodology to help enterprises truly integrate ai technology into business processes and organizations. tao jingwen said that this methodology is divided into "three layers" to redefine intelligent business, ai development and delivery, and continuous operation of intelligent applications. then, the "five-level eight-step" is to start from the business scenario and guide the business on how to implement ai step by step along the business process, organization, company data and ai applications.
twelve questions to choose intelligent business scenariosin order to determine the scope of application of ai, huawei has defined "12 questions" as a key means of selecting intelligent business scenarios. tao jingwen emphasized that not all scenarios are suitable for ai, so huawei's "12 questions" help companies determine the appropriate ai scenarios.
digital production line: model result certainty and data qualityin order to combine ai with enterprise business processes and data, huawei has built an enterprise ai digital production line. tao jingwen pointed out that the certainty of model results is the key to realizing ai applications. therefore, enterprise data sets are unique and professional data, information and knowledge, which are more professional than professionals. continuously improving data quality to a "textbook" level is the most effective way to deal with model uncertainty.
digital governance blueprint: transparency generates trust and promotes sharinghuawei has combined its own digital and intelligent practices with industry practices to develop a set of enterprise digital space governance models, unifying data and language, and drawing an efficient, intelligent, transparent and reliable digital governance blueprint for enterprises, helping enterprises achieve digital transformation and intelligent upgrades, and realize sustainable high-quality development of enterprises.