Recently, a number of domestic and foreign industry leading companies have released new products based on AI technology, and AI's empowerment of operations and production in multiple industries is accelerating. Industry insiders pointed out that large-scale AI applications in subdivided industries have gradually become a trend. In the future, customized products and fast and efficient learning based on data accumulation will be the key to industry competition.
As the application and practice of AI penetrate into many industries, the specific scale and participation are the common focus of the industry. Cousteau, executive vice president of Jianwei Software Product Line, which has just released a new product based on AI, said that in the large-scale oil refining, petrochemical, machinery manufacturing and other industrial fields he is exposed to, AI technology is constantly learning through long-term accumulation of industry data and operating parameters. Assist workers to improve equipment detection and operation efficiency.
Cousteau shared the practical results of Canadian oil sands operator Syncrude. By combining Jianwei's PI System, the company obtained more than 6,600 data points from 131 trucks and 5 forklifts, and combined each Data points were seamlessly connected to the PI System, and notifications and alerts were integrated into the company's existing monitoring platform, greatly improving process monitoring, ultimately saving $16.75 per device per hour and avoiding more than $20 million in maintenance costs.
In addition to applications in the industrial field, in the office field, AI company Zero One Thousand Things recently released the "Ruyi" digital human solution for e-commerce live broadcasts, office meetings and other scenarios, as well as the AI Infra solution to help government and enterprise customers build large-model computing power platforms. plan. Combined with the original Yi API with the Yi large model open platform as the core and the model training platform open to enterprise customers, they form a complete set of industry-wide To B solutions "from AI Infra to models to applications".
Li Kaifu, CEO of Lingyiwu, said that AI technology represented by large model technology will reshape the productivity pattern of all walks of life and subvert the existing corporate organizational structure and scale. However, at present, large model capabilities have not released their full potential in To B applications. Only by entering the core business system and deploying rapid, lightweight and large-volume deployment can we reduce costs and increase efficiency for the enterprise to the greatest extent. The company will explore it with a vertically integrated business model. Best practices for AI To B.
“Today in the field of large models, most To B projects focus on privatized customized models. How to truly allow large models to enter the core business scenarios of customers and form a standardized and replicable application product empowered by large models is A big challenge for To B in the future," said Qi Ruifeng, co-founder of Zero One Wish.