On October 26, KaiwuDB joined forces with the China Communications Standards Association Big Data Technology Standards Promotion Committee (CCSA TC601) and the Academy of Information and Communications TechnologyDatabase Application Innovation LaboratoryThe sponsored "Consolidating the Base of Database Technology and Exploring a New Chapter in the Development of the Intelligent Era" themed technology salon was successfully held in Shanghai.
The event invites industry experts and scholars, database technology enthusiasts, and database application companies to attend the event. Discuss and exchange topics such as the integration trend of database and AI technology, analysis of the principles of intelligent engine technology, and scenario-based application practices. KaiwuDB CTO Wei Kewei shared"Application of AI Technology in Time Series Data Scenarios".
Database technology salon scene
As the industry's firstdistributed multi-mode database for the AIoT industry, KaiwuDB has long been paying attention to the integration trend of database and AI technology, and strives to create Database scenarios empowered by "native AI";While exploring technical routes, focus on the actual needs and user experience of users. “The key behind various new technologies, including AI, is whether we can give users a simple and effective solution, which will It is very critical", Wei Kewei said.
KaiwuDB Wei Kewei posted a topic sharing
As the digitalization process of thousands of industries continues to deepen, the business scale, business complexity, and heterogeneous data magnitude of the Chinese market are calling for more intelligent data management,KaiwuDB It is hoped that based on the key base of "database fusion AI", the consumer issues of the implementation of AI technology can be solved >.
In the future, KaiwuDB will continue to work on important smart scenarios that users are concerned about, giving full play to the value of enterprise data base, providing innovative, stable and secure database products, and helping more companies with digital infrastructure construction needs to realize their business Digital intelligence, refined management, scientific decision-making and cost optimization.
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