Dataelite Industrial Brain is supported by an industrial data center and is centered around an intelligent data labeling engine and a comprehensive industrial chain knowledge engine. Utilizing next-generation information technology, it drives the digital and intelligent upgrade of industries, serving scenarios in science and technology finance, green finance, inclusive finance, government investment attraction, industrial investment research, and precise policy implementation. Focusing on macroeconomic, meso-industrial, and micro-enterprise data, it generates decision-making information on risks and opportunities, helping users gain insights into industrial trends, monitor enterprise risks, and seize business opportunities.
With a self-built comprehensive industry knowledge engine covering traditional industries, strategic emerging industries, and future industries, it understands the upstream and downstream relationships of industries and supports the expansion of any industrial chain application scenario.
With a self-built comprehensive industry knowledge engine covering traditional industries, strategic emerging industries, and future industries, it understands the upstream and downstream relationships of industries and supports the expansion of any industrial chain application scenario.
The base of the Industrial Brain supports macro, meso, and micro data dimensions, encompassing 5 major categories and 99 components, enabling free assembly and combination on the data layer and application side to empower different business scenarios.
The base of the Industrial Brain supports macro, meso, and micro data dimensions, encompassing 5 major categories and 99 components, enabling free assembly and combination on the data layer and application side to empower different business scenarios.
Creates a panoramic spectrum of the industry chain, collaborates with industry experts, and combines algorithmic models to build dynamic industry indicator models and evaluation systems.
Creates a panoramic spectrum of the industry chain, collaborates with industry experts, and combines algorithmic models to build dynamic industry indicator models and evaluation systems.