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This article from datapro.news discusses how artificial intelligence (AI) is revolutionising data modelling. Six key applications of AI are highlighted: automating data mapping and transformation, enhancing predictive modelling, improving real-time data quality, optimising data structures through scenario simulation, enabling natural language querying, and utilising DSharp Studio's innovative low-code platform for streamlined data warehouse creation. The article showcases various AI-powered tools like Secoda, Databricks, Striim, WhereScape, and Azure OpenAI, illustrating their practical uses in enhancing data management efficiency and accuracy. The overall aim is to demonstrate how AI allows data engineers to build better data models faster, ultimately leading to improved business insights and decision-making.
This article from datapro.news discusses how artificial intelligence (AI) is revolutionising data modelling. Six key applications of AI are highlighted: automating data mapping and transformation, enhancing predictive modelling, improving real-time data quality, optimising data structures through scenario simulation, enabling natural language querying, and utilising DSharp Studio's innovative low-code platform for streamlined data warehouse creation. The article showcases various AI-powered tools like Secoda, Databricks, Striim, WhereScape, and Azure OpenAI, illustrating their practical uses in enhancing data management efficiency and accuracy. The overall aim is to demonstrate how AI allows data engineers to build better data models faster, ultimately leading to improved business insights and decision-making.