Ye Zizhen of Dingji Digital Intelligence Discusses AI: The "1-2-3" Framework Guides AI to Break Through Thinking Limitations and Become a Digital and Intelligent Avatar

On August 13th, Dingjie Digital Intelligence held the "2025 Dingjie Digital Intelligence New Book Creative Conference" in Shanghai. This wonderful creative conference, themed "Interstellar Voyage" and codenamed "AI Dimension Upgrade · Steering the Digital Intelligence Future", integrated the cutting - edge trends of the AI industry and the exploration of enterprise implementation practices.

At this creative conference, Dingjie Digital Intelligence launched its new masterpiece, "Digital Intelligence Productivity - From Digital Transformation to Digital Intelligence Rebirth", which embodies in - depth thinking and practical experience about the digital intelligence future. It also invited industry experts, senior scholars, and enterprise representatives, as well as guests from the industry, academia, and research fields to gather together, bringing about a triple - thinking confrontation of theory, technology, and business practice.

Currently, the wave of digital intelligence is quietly triggering a profound transformation across all industries. Ye Zizhen, the chairman and president of Dingjie Digital Intelligence, said at the new book creative conference: "The value of AI does not lie in replacing humans, but in liberating humans from repetitive labor and creating new productivity for them. This is the correct way for AI to integrate into our work and life. What we want to create is an 'AI +' era, not a '+ AI' era."

Ye Zizhen, the chairman and president of Dingjie Digital Intelligence

Deconstructing "1 - 2 - 3": Dingjie Clarifies the Underlying Logic of Digital Intelligence Productivity

As a leading enterprise with over 40 years of in - depth industry experience, Dingjie Digital Intelligence is based on its business positioning as a "leading provider of data and intelligent solutions" and focuses on the new R & D needs of enterprises in the digital intelligence era.

In the new book, Dingjie refines the data - driven process and practical experience, and innovatively proposes the concept of the "SUPA" model for the enterprise data application process. That is, data, like humans, perceives and then understands, makes plans based on interpretation, and then executes.

At the new book release site, Ye Zizhen shared his straightforward thinking about the digital intelligence future: "The best way to predict the future is to create it" - AI will break through the limitations of thinking and innovate in unsolvable problems. Ye Zizhen constructed a clear framework for the development of AI through the concept of a digital intelligence world of "one model, two cores, and three types of intelligent agents".

This "1 - 2 - 3" system uses "one model" as the framework - constructing a fusion system of the physical world and the digital world, incorporating the physical world composed of humans and intelligent equipment and the digital world composed of intelligent agents and driving engines; it is driven by "two cores" - respectively dealing with different types of task processing. The 'data self - determination drive' engine is responsible for quickly responding to data changes, while the 'intelligent generation drive' engine uses generative AI for complex decision - making and planning; finally, it is implemented by "three types of intelligent agents": the digital avatar of humans handles transactional work, the knowledge expert intelligent agent precipitates process experience, and the key digital commander is responsible for scheduling and coordination.

The Athena platform created by Dingjie is the practical carrier of this concept. The "enterprise digital operation space" it constructs can perform simulation operations based on data changes and then drive the execution in the physical world, providing technical support for the integration of the "digital" and the "real".

Previously, Ye Zizhen deeply interpreted the core value of AI intelligent agents, emphasizing their capabilities of autonomous decision - making, dynamic adaptation, continuous learning, and multi - modal collaboration. They can autonomously optimize work plans by perceiving the environment in real - time, realizing the transformation from "passive response" to "active decision - making"; furthermore, through continuous real - time learning, they can continuously optimize the decision - making model, helping enterprises transform from "process - driven" to "digital intelligence - driven" and reshaping the operation logic of traditional industries.

To promote the full - scale popularization of AI in enterprise application scenarios, Dingjie released core products such as the intelligent data suite and the enterprise intelligent agent generation suite. Among them, the Athena enterprise intelligent agent generation suite has the ability of "centralized autonomous decision - making + distributed collaborative execution" and can collaboratively handle complex tasks across systems and departments; Industrial AIoT integrates AI, IT, and OT technologies, reshaping the enterprise operation model and assisting managers in making scientific decisions.

For the future, everyone will have a "portable digital avatar" that can grow with training. Loading one's "knowledge shell" into the digital avatar and combining it with enterprise data to provide corresponding personalized services for the enterprise will become the intelligent extension in different scenarios - Ye Zizhen expressed such expectations.