#China #Shanghai #Huawei #Industrial Intelligence #ACT Pathway

Huawei's Revolutionary Approach to Industrial Intelligence

At the recent HUAWEI CONNECT 2025 event in Shanghai, Leo Chen, Senior Vice President and President of Enterprise Sales at Huawei, unveiled groundbreaking insights into the company's efforts to propel industrial intelligence forward. The highlight was the introduction of the three-step 'ACT' pathway, designed to streamline the integration of Artificial Intelligence (AI) into various industries, alongside the presentation of nine pivotal solutions tailored for this purpose.

The Three-Step 'ACT' Pathway

The 'ACT' pathway encapsulates a strategic approach that centers on three key components:
1. Assess High-Value Scenarios - Prioritize scenarios that can yield significant returns on AI investments.
2. Calibrate AI Models Using Vertical Data - Ensure that AI models are specifically tailored to the industry's unique data, enhancing their effectiveness.
3. Transform Business Operations with Scalable AI Tools - Utilize AI tools to enhance processes, thereby driving efficiency and innovation across sectors.

Five Key Findings in Industrial Intelligence

During his keynote, Chen shared five fundamental insights gathered from Huawei's ongoing projects in industrial intelligence:
1. Scenario Selection is Critical: The choice of the right application scenarios is paramount for successful transformation. AI delivers maximum value when deeply integrated with core production scenarios.
2. High-Quality Vertical Data is Essential: Industry-specific models that leverage high-quality data outperform general-purpose models, transforming them into tailored solutions that provide a competitive edge.
3. Demand for Large-Scale Implementations: The appetite for large-scale AI deployments is rapidly growing, indicating that businesses must adapt to maintain relevance.
4. Human-AI Collaboration is the Future: The integration of human and AI capabilities is redefining the corporate landscape, fostering innovative work paradigms.
5. Importance of Systematic Governance: As AI becomes more prevalent, the need for effective governance and risk management has surged, ensuring reliable, safe, and sustainable AI practices.

Noteworthy Applications of the ACT Pathway

In showcasing successful implementations, Chen highlighted three hallmark projects:

• - Banking Sector Transformation: Huawei's dynamic architecture accelerated AI applications within banking workflows, enhancing revenue and efficiency while effectively managing risk.
• - Energy Sector Innovations: China Southern Power Grid utilized Huawei’s technology to create a large model dubbed 'MegaWatt,' dramatically improving efficiency in identifying faults during power line inspections.
• - Healthcare Enhancements: Runda Medical's AI medical record solution, launched in collaboration with Huawei's Ascend platform, has significantly reduced record-keeping time, increasing hospital efficiency.

Nine Core Solutions Unveiled

During the event, Huawei also introduced nine significant solutions developed in partnership with various stakeholders. These include:

• - City AI Center and Core Model Solution
• - Intelligent Computing Laboratory Solution
• - Medical Technology Digital and Intelligence 2.0 Solution
• - Banking AI and Core Model Solution
• - Intelligent Manufacturing R&D Solution
• - SMART Logistics and Storage Solution
• - Intelligent Distribution Solution
• - Smart Exploration and Development Solution for Oil and Gas
• - Hot Temperature Prediction Solution for Steel Blast Furnaces.

Conclusion

As the industrial landscape evolves, Huawei's 'ACT' pathway stands as a beacon for businesses aiming to harness the power of AI. By focusing on relevant scenarios, leveraging specific data, and employing scalable AI solutions, companies can drive innovation and secure their position in an increasingly competitive market. As Chen emphasized, the journey towards intelligent transformation is not just about technology but also about collaboration and governance, laying a comprehensive framework for sustainable success in the AI landscape across diverse industries.