From Pilot to Production: Scaling AI with Huawei’s ACT Framework
As artificial intelligence transitions from experimental technology to core business infrastructure, enterprises face the critical challenge of moving beyond isolated pilot projects to organization-wide implementation. At Huawei Connect 2025 in Shanghai, the company unveiled its ACT pathway—a comprehensive methodology designed to accelerate and scale AI adoption across industries.
The ACT framework represents a strategic approach to intelligent transformation, built upon five key findings derived from Huawei’s extensive project experience with global customers. This methodology addresses the entire AI lifecycle, from initial assessment through deployment and optimization.
Industry Success Stories Demonstrate Tangible Results
China Southern Power Grid’s implementation of Huawei’s technology showcases the framework’s potential. By leveraging Huawei’s Ascend computing platform and MindSpore AI framework, the utility developed MegaWatt—a specialized large model for the power sector that utilizes Mixture-of-Experts architecture.
“The system has helped improve defect and risk identification efficiency during power line inspections by five times,” according to case study results, with image recognition accuracy exceeding 90%. This achievement demonstrates how custom AI models can solve specific business challenges while creating sustainable competitive advantages.
In healthcare, Huawei collaborated with Runda Medical to develop an AI medical record solution that exemplifies how industry-specific applications can transform operations. The system generates accurate medical records in approximately one second, reducing documentation burden while maintaining quality standards.
The Three-Stage ACT Pathway
Assessment: The journey begins with Huawei’s AI Scenario Assessment Framework, which evaluates business value, scenario maturity, and business-technology integration. This systematic approach helps identify and prioritize among more than 1,000 core AI production scenarios.
Calibration: With appropriate scenarios identified, enterprises proceed to building and training industry-specific models. This phase emphasizes data governance, with Huawei providing a comprehensive toolchain to transform raw data into actionable intelligence. The company’s unified lakehouse platform (MRS) enables organizations to convert unstructured data into structured, ready-to-use assets.
Transformation: The final stage focuses on operationalizing AI through rapid deployment of AI agents. Huawei’s Versatile platform automatically generates AI agents and complex workflows with over 100 steps, facilitating the transition toward human-AI collaboration that characterizes today’s industrial revolution.
Infrastructure Requirements for AI at Scale
Implementing the ACT pathway requires an AI-oriented ICT infrastructure that supports the entire process from data preparation to model deployment. Huawei’s infrastructure solutions address several critical challenges:
- Memory Management: The Unified Cache Manager enables large models to transition from session-based memory to long-term memory, improving response times by up to 90%
- Networking: The 800GE high-speed networking solution supports clusters four times larger than industry standard, while specialized algorithms increase network utilization to 98%
- Computing: SuperPoD solutions deliver training efficiency three times greater than traditional approaches, with inference performance four times above industry standards
These infrastructure advancements come at a critical time, as global corporate sectors navigate increasing complexity and competition.
Ecosystem Strength and Industry Solutions
Huawei’s partner ecosystem plays a vital role in delivering industry-specific solutions. The network includes over 6,300 Kunpeng partners, 2,700 Ascend partners, and 750 ISVs—creating a robust foundation for innovation across sectors.
This collaborative approach has yielded specialized solutions for numerous industries, including:
- Banking AI and Foundation Model Solutions
- Intelligent Manufacturing R&D Solutions
- Medical Technology Digital and Intelligence 2.0 Solutions
- Steel Blast Furnace Temperature Prediction Systems
These developments reflect broader economic transformations as traditional industries adapt to technological disruption.
The Future of Industrial AI
As AI continues to evolve, infrastructure must eliminate the unpredictability of traditional data center engineering. Huawei’s productized and prefabricated industry-specific solutions represent a significant step toward AI-ready infrastructure that can scale with enterprise needs.
The company’s focus on practical implementation rather than theoretical potential distinguishes its approach. By addressing real-world challenges in sectors ranging from healthcare to energy, Huawei demonstrates how strategic AI adoption can drive measurable business outcomes.
This practical orientation aligns with broader industry developments toward standardized, interoperable solutions. Similarly, the framework’s emphasis on data governance and infrastructure reflects the growing importance of robust technological foundations for advanced applications.
As organizations worldwide confront the challenges of digital transformation, Huawei’s ACT pathway offers a structured methodology for harnessing AI’s potential while avoiding common implementation pitfalls. The approach demonstrates how transformative innovations can be systematically integrated into existing operations to create sustainable value.
This article aggregates information from publicly available sources. All trademarks and copyrights belong to their respective owners.
Note: Featured image is for illustrative purposes only and does not represent any specific product, service, or entity mentioned in this article.
