Technical requirement aligning business model system based on an artificial intelligence assistant
A technology of artificial intelligence and business model, applied in the field of cloud platform system, to achieve the effect of improving efficiency
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Embodiment 1
[0030] Such as figure 1 As shown, the main function of the present invention is that the enterprise communicates with the technology provider through the technology demand management platform, so as to realize related technology docking. Among them, the technical demand management platform is realized by the artificial intelligence assistant technology solution, which includes intelligent speech recognition, intelligent speech interaction, natural semantic analysis, text analysis, multi-dimensional modeling and intelligent recognition, personalized accurate recommendation, electronic contract, Electronic signature, etc.;
[0031] The business model of the present invention includes a technical requirement information database assisted by an artificial intelligence assistant subsystem, and performs multi-dimensional labeling of technical requirements through intelligent voice recognition, intelligent voice interaction, natural semantic analysis, and text analysis of technical requi...
Embodiment 2
[0043] Based on the artificial intelligence assistant's technical demand docking business model system, the technical provider must first register technical materials and open the authority to query the technical demand database. Such as Figure 4 As shown, the registered technical materials include project introduction, market prospects, benefit analysis, papers, and patents. The system calculation framework will also perform offline calculations on these data, and label each technical achievement in multiple dimensions. The technology provider can also submit personal technical advantages according to the technical requirements sent by the enterprise to obtain docking opportunities.
[0044] Technology needs based on artificial intelligence assistants to dock business model systems, such as image 3 As shown, enterprise users can describe their needs through voice, and the system uses voice recognition to perform natural semantic analysis on the recognized text, and then propo...
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