Digiwin Unveils New Book and SUPA Framework at Shanghai Summit
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Digiwin held a high-profile summit in Shanghai on August 13, 2025 to launch its new book
Digiwin held a high-profile summit in Shanghai on August 13, 2025 to launch its new book Digital Intelligence Productivity Forces: From Transformation to Regeneration. The blue-covered volume – co-authored by Digiwin chairman Ye Zizhen and two academic experts – distills the company’s years of experience in AI-driven enterprise transformation. Attendees included industry, academic and investment leaders who explored how AI and data can usher in a “new intelligence-driven era.”
Introducing SUPA: A New Framework for Intelligent Operations
At the launch, Digiwin introduced a fresh operational blueprint called SUPA (Sensing–Understanding–Planning–Action) . SUPA lays out a continuous feedback loop: companies sense market and internal data, understand it through analysis, plan strategies, and then act – closing the loop with real-time execution. As one of Digiwin’s whitepapers explains, the four stages form the “core framework” for digital-intelligent enterprise operations . The company says this loop can be applied at all maturity levels – from manual (Level 0) up to fully AI-driven (Level 4) – to help businesses react nimbly in complex markets .
The SUPA model – Sensing, Understanding, Planning, Action – was highlighted at the Shanghai event. In Digiwin’s vision, this four-stage cycle replaces rigid process flows with an adaptable intelligence loop  . As Zhejiang University professor Zhou Weihua commented, we have moved “from industrial-era standardization, to information-era process flows, to today’s digital-intelligent age of intelligence-driven management,” where AI should do more than boost efficiency – it should help enterprises “create new value” for business and society . In other words, the goal is to go beyond process-driven management and embrace a data‑centric, intelligence‑driven paradigm.
Harnessing AI and Knowledge Graphs
The Digiwin team emphasized that today’s AI is far more than a simple automation tool. Intelligent agents powered by large models and knowledge graphs can extract business logic and predict trends rather than just record data . For example, at the summit Digiwin released a report on “practical enterprise generative AI,” detailing how GenAI can aid everything from data generation and process assistance to decision support . Executives say these technologies turn systems into active partners. As one Digiwin analyst put it, modern agents can “not only store data but also extract business logic and industry knowledge from data, and conduct causal reasoning and trend prediction based on knowledge graphs and machine learning” . This points to a future where generative AI and knowledge engineering enrich enterprise software with true business insight.
Athena Platform and AI-Driven Software
Central to Digiwin’s strategy is its Athena PaaS platform, built on “digital‑intelligent driving” and “knowledge encapsulation” principles . Since its 2022 debut, Athena has served as the foundation for new AI services. For instance, Digiwin now offers AI-enhanced versions of its core manufacturing suites – essentially “ERP + AI,” “PLM + AI,” “MES + AI,” etc. – designed to achieve an “efficiency leap” across R&D, production, warehousing and logistics . These fully integrated AI suites help businesses optimize end-to-end processes rather than treating software as mere data vaults.
In practice, Digiwin is building what it calls “AI soft infrastructure.” Executive Vice President Liu Bo explained that enterprises should deploy AI in stages (pilot, scale, transform) and that the true game-changer is to package AI capabilities as easy-to-use services. Athena now offers modular “AI capability suites” so firms can adopt features like intelligent decision engines or automated assistants without heavy investment . In Liu’s words, “the more broadly AI is applied, the easier it is to build new business models… The future competitiveness of companies will depend on the density of AI applications”.
Digiwin is also leveraging partnerships to extend its ecosystem. At the Shanghai event, the company showcased joint demonstrations with cloud and tech partners – for example, an exhibition featuring Digiwin and Huawei Cloud innovations . And on the AI front, Digiwin has integrated the new DeepSeek large language model into its products . As announced earlier this year, the DeepSeek model is now fully embedded in Digiwin’s IndepthAI agent platform and all its smart applications . According to Digiwin, this integration “will further boost Athena’s capabilities in data analysis, intelligent decision-making, and process optimization” . In short, combining DeepSeek’s low-cost, high-performance AI with Athena expands options for Chinese enterprises to deploy powerful AI without starting from scratch.
Empowering People with AI
Throughout the summit, Digiwin leaders stressed that AI is ultimately a human-centric accelerator, not a human replacement. Chairman Ye Zizhen captured this ethos in a striking slogan: “AI is a proxy, not a replacement for humans.” In one address he noted that “the ultimate value of AI is not in replacing human labor but in liberating people from repetitive tasks” . This “proxy” view of AI underpins Digiwin’s vision of digital avatars or personal agents. Ye envisions a future where every worker has a “portable digital twin” – an AI agent carrying their personal “knowledge shell” combined with company data . Such an agent would be fully controlled and trained by the user, acting as an authorized representative. In practice, this means a specialist could delegate routine work to their AI twin and focus on creative tasks.
In Ye’s words, these intelligent “doppelgängers” will enable “multi-homing careers.” By carrying their expertise in a digital form, individuals could serve multiple organizations, “no longer constrained by time and space,” and be rewarded for outcomes rather than hours worked . Other executives painted a similar picture: Digiwin foresees that people will break free from single-company employment, developing fluid, task-oriented careers and networks . As one analyst at the event noted, organizations themselves will evolve from rigid hierarchies into dynamic teams that assemble on-demand around tasks – a shift that will “change traditional employment and value distribution” .
Future Outlook: Smart Work, Enjoying Life
Digiwin’s summit closed on an optimistic note: by harnessing AI as a collaborator, the company aims to turn digitalization from a cost-center into a productivity engine. Echoing this vision, Ye reiterated the company’s goal of “letting more people work intelligently and enjoy life” through these technologies . In the new era of Digital Intelligence, Digiwin’s roadmap – from SUPA to Athena, from AI agents to digital twins – offers a glimpse of how Chinese enterprises might reinvent themselves. As Pandaily’s own founder Zhou Hengxing observed at the event, “AI is like a magnifying glass that amplifies our talents and efficiency; humans remain the focus, empowered by the technology” . The summit underscored a broad consensus: the future of work will be driven by AI-enabled intelligence, but always in service of human ingenuity.
