AI technology innovative applications are moving toward large-scale implementation. At present, traditional data governance systems are still difficult to meet the high-quality data requirements of AI applications. Optimizing the construction of an "artificial intelligence-oriented data governance" system and significantly improving the large-scale implementation of AI applications has become an important direction for future data governance. Based on this, iResearch launched the "2022 China Data Governance Industry Research Report for Artificial Intelligence".
As the world's leading spatio-temporal artificial intelligence industry empowerment platform service provider, Weizhi Technology has been selected into the report as a big data intelligence manufacturer based on its successful business decision-making intelligence practices with leading companies such as Meiyijia, Procter & Gamble, Volkswagen, and Didi.
01
Data temporalization breaks through complicated data management work and builds a targeted system to solve repetitive links.
The iResearch report points out that data governance consumes more than 90% of the energy in the implementation of artificial intelligence projects. However, for various artificial intelligence projects of enterprises, there are many repeated governance tasks at the AI data level, which greatly reduces the efficiency of AI applications. Large-scale implementation efficiency.
Improving the efficiency of data governance with the help of effective methodologies and practical tools is an important issue for enterprises to manage data assets and realize large-scale application of AI. Weizhi Technology's data spatio-temporalization enables adding spatio-temporal labels to massive, different sources, different resolutions and fine-grained data, and simultaneously performs spatio-temporal fusion and association, including spatio-temporal data access, data cleaning, spatio-temporal processing, data decision-making, and data export. and other modules. It streamlines, standardizes and systemizes the data governance aspects of AI applications in different business fields, reduces the cost of repeated data preparation, feature screening, and model tuning iterations, shortens the entire process cycle of AI model development and construction, and ultimately significantly improves the efficiency of AI applications. Large-scale implementation efficiency.
02
Space-time mapping enables reasonable distribution and accurate expression of data, optimizing the analysis and decision-making effects of AI models.
Relying on original spatiotemporal AI technology and deep business understanding, Weizhi carries out data practices for AI implementation in different scenarios from the bottom up, building a 100-billion-level spatiotemporal knowledge graph, providing core functions such as prediction, decision-making, and reasoning, and truly realizing the intellectualization of data. and capitalization. On the one hand, it is the accumulation of data assets from thin to thick; on the other hand, it provides effective information to decision-making stakeholders in an accurate way instead of a large amount of redundant information, improves the efficiency of problem handling, and ensures the accuracy of decision-making while refining management. Execute efficiently.
03
The graph is intelligent and uses the IDOO feedback mechanism of "insight-decision-operation-optimization" to significantly improve the large-scale implementation of AI applications.
In the implementation of "spatial and temporal AI + business scenarios", Weizhi continues to strengthen the in-depth integration of technology and industrial scenarios, constantly solves the "last mile" problem of machine learning, achieves dynamic monitoring, anomaly diagnosis, evaluation optimization, and forms "insights" -Decision-Operation-Optimization” IDOO feedback mechanism allows AI models to be implemented with quality and quantity. For example, change the product exposure marketing strategy based on product sales to promote overall transaction volume. At present, Weizhi has demonstrated its service implementation capabilities to industry benchmark customers in many fields such as government, retail, banking, brands, automobiles, etc., and has empowered intelligent decision-making capabilities to a wider range of user groups, further promoting artificial intelligence technology to empower entities economic development.
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