Group 1 - The core viewpoint is that AI technology is becoming a driving force for a new round of technological revolution, particularly in the energy and chemical industries, which are expected to undergo a digital and intelligent upgrade driven by AI [1][2] - Traditional coal power systems are struggling to meet the demands of new power systems, leading to a need for intelligent control upgrades. For instance, operators in a chemical company's self-owned power plant handle 2,000 to 4,000 control commands daily, facing issues like control lag and parameter oscillation [1] - The intelligent solutions from the company have been implemented in over 100 benchmark projects across four major industries: thermal power, chemicals, metallurgy, and environmental protection, achieving over 99% automation in upgraded chemical thermal power plants, with operational efficiency improved by 1.7% [1] Group 2 - The company highlights that China has unique advantages in industrial data generation in sectors like petrochemicals and power production, which are essential for developing industrial AI [2] - Industrial AI differs significantly from large language models, which face issues like hallucination and high energy consumption, making them unsuitable for industrial applications. Therefore, a specialized technical system for industrial AI is necessary [2] - Future trends in industrial digitization in the energy and chemical sectors include a shift from point optimization to global intelligence, from cloud collaboration to autonomous decision-making, and from efficiency tools to low-carbon engines, with AI being a key enabling technology for achieving carbon neutrality goals [2]