AI Native
A transformation paradigm in which an enterprise is driven by AI across its organizational structure, business processes, and product design. It emphasizes rebuilding workflows with agents, making decisions based on data, and accumulating knowledge assets in skill libraries.
Timeline (last 90 days)
The difficulty of AI Native transformation in the process industry lies not in introducing models, but in structuring and organizing the tacit knowledge that is highly dependent on individual experience.
Feimo-I adheres to a data-driven approach, does not use the HD maps or extensive rule-writing of early autonomous driving, regards this as key to being AI Native, and believes that rules become a burden rather than an advantage as boundaries expand.
The three-tier service model proposed by the author is: the first tier helps clients understand AI Native from 0 to 30 points, the second tier accompanies clients from 30 to 80 points to resolve business bottlenecks, and the third tier guarantees coverage above 80 points by personally stepping in to tackle the hardest problems.
Implementing DFS under the AI Native paradigm requires writing no programs at all; describing the algorithm logic in natural language is sufficient for the large model to understand and execute.
All Facts (4)
The difficulty of AI Native transformation in the process industry lies not in introducing models, but in structuring and organizing the tacit knowledge that is highly dependent on individual experience.
50%UnverifiedFeimo-I adheres to a data-driven approach, does not use the HD maps or extensive rule-writing of early autonomous driving, regards this as key to being AI Native, and believes that rules become a burden rather than an advantage as boundaries expand.
50%UnverifiedThe three-tier service model proposed by the author is: the first tier helps clients understand AI Native from 0 to 30 points, the second tier accompanies clients from 30 to 80 points to resolve business bottlenecks, and the third tier guarantees coverage above 80 points by personally stepping in to tackle the hardest problems.
50%UnverifiedImplementing DFS under the AI Native paradigm requires writing no programs at all; describing the algorithm logic in natural language is sufficient for the large model to understand and execute.
50%