Core Insights - AI technology is becoming a crucial force for enhancing efficiency, quality, and core competitiveness in the industrial sector, particularly in the petrochemical industry, which needs to transition towards a new generation of intelligent manufacturing driven by digitalization and AI [1][2] Group 1: Industry Challenges and Opportunities - The petrochemical industry faces significant external pressures and must leverage digital transformation to overcome bottlenecks, aiming for a "curve overtaking" strategy under safe and reliable conditions [1] - Key challenges in implementing AI in the petrochemical sector include limited data sample sizes, high technical barriers, low replicability of solutions, and a shortage of cross-disciplinary talent [2][3] Group 2: Technological Innovations - Zhongkong Technology has developed a matrix of 15 cutting-edge technologies, including AI-driven catalyst core process research and predictive maintenance technologies, significantly enhancing the intelligence level in industries like petrochemicals and power generation [4] - The introduction of the TPT time series model has shown to reduce software investment by 50%-80%, decrease labor costs by 30%-50%, and improve revenue by 1%-3%, demonstrating its effectiveness in optimizing complex processes [4] Group 3: New Business Models - Zhongkong Technology has proposed a new enterprise intelligent operation architecture called "1+2+N," integrating various models to create a closed loop covering the entire supply chain [5][6] - Innovative business models such as subscription-based services and online marketplaces are being introduced to lower entry barriers for companies, facilitating the ecological implementation of industrial AI [6] Group 4: Future Outlook - The industry is transitioning from a "tool revolution" to a "cognitive revolution," with AI expected to take on a larger share of work, thereby freeing human labor and enhancing future competitiveness [6]