产教融合新范式：新龙网如何打通“实训-实习-就业”全链路？

Core Insights - The demand for versatile talents in emerging fields like cross-border e-commerce and artificial intelligence is growing exponentially due to the dual waves of digital economy and industrial upgrading [1] - The New Long Network B·U·G talent ecosystem service platform aims to break the existing cycle of difficulties faced by enterprises, universities, and students by establishing a talent highway from campus to industry through "industry-education integration" [1] Group 1: Platform Model - The New Long Network B·U·G platform promotes deep collaboration among enterprises, universities, and government, contrasting with traditional models that primarily involve schools and enterprises with a weakened government role [2] - The platform emphasizes real-time sharing and blockchain verification for information flow, moving away from the one-way, delayed, and opaque nature of traditional methods [2] - The training approach is capability-targeted and project-driven, unlike traditional methods that focus mainly on theory and time [2] Group 2: Training and Employment Integration - The platform integrates practical training with real projects, such as TikTok Shop operations and independent site construction in cross-border e-commerce, and machine learning and intelligent customer service system development in AI [2] - During the internship phase, the platform uses big data algorithms for precise matching of students' skills with job requirements, achieving an 85% conversion rate for a cross-border e-commerce service provider in recruiting 20 operational interns within three weeks [2][4] Group 3: Talent Pool and Employment Outcomes - The platform establishes a dynamic talent database, allowing companies to secure quality candidates in advance, resulting in a 40% increase in students' employment competitiveness and a 30% reduction in hiring costs for companies [4] - The New Long Network employs a "reverse engineering of training programs based on industry demand" model to create a precise talent supply chain, particularly in AI with a focus on scenario-based education [6] Group 4: Industry Collaboration - The platform connects universities with leading industry enterprises to co-build laboratories and develop vertical scenario projects, addressing the gap between theoretical knowledge and practical application in traditional computer science graduates [8] - Companies can form technical teams within three months through customized classes on the platform, reducing project delivery cycles by 50% [8]