Huawei Unveils Three-step "ACT" Pathway and Nine Major Solutions for Industrial Intelligence

Huawei presented its three-step “ACT” pathway for industrial intelligence and nine new solutions during HUAWEI CONNECT 2025. The event highlighted approaches to help enterprises leverage Artificial Intelligence (AI) for improved operational efficiency and competitive advantage.

Chen, Huawei's Senior Vice President of Enterprise Sales, identified key questions facing businesses regarding AI investments. These include ensuring AI generates real business value, utilizing proprietary data effectively, and moving AI applications from pilot phases to larger implementations.

To illustrate how businesses can tackle these challenges, Huawei shared three case studies. The banking sector benefited from a dynamic master–sub-agent architecture, enhancing revenue and risk management. China Southern Power Grid utilized Huawei’s Ascend computing platform to develop a large AI model, improving efficiency in power line inspections. Runda Medical leveraged Ascend servers to streamline medical recordkeeping, significantly reducing record generation time.

Huawei outlined five findings from its intelligent transformation projects. First, selecting suitable implementation scenarios is essential. Second, industry-specific models offer advantages over general models when trained with high-quality vertical data. Third, the demand for large-scale inference will increase as AI evolves. Fourth, human-AI collaboration is redefining organizational structures. Lastly, governance and risk management have gained importance in ensuring secure AI deployment.

The three-step “ACT” pathway consists of assessing high-value scenarios, calibrating models with specialized data, and transforming operations with AI. This framework supports enterprises in identifying opportunities for AI integration and achieving practical outcomes.

In addition to the ACT pathway, Huawei unveiled a suite of nine industrial solutions developed in partnership with various organizations. These solutions are aimed at sectors including healthcare, banking, manufacturing, and logistics, providing targeted applications of AI technologies.