During Chen’s keynote, titled “Breaking New Ground to Industrial Intelligence”, Huawei also launched nine major solutions for industrial intelligence that it developed alongside its partners.

As AI technology continues to rapidly advance, Chen noted that this rapid progress has raised some tough questions for businesses, which include: how can enterprises ensure their AI investments generate real business value? How can enterprises use their own data to defend their competitive advantages? and how can enterprises help AI use cases move beyond pilots to large-scale application?”

To answer these, Chen shared how Huawei is already helping customers turn AI from theory into real results.

Runda Medical used Huawei’s Ascend inference servers to develop an AI medical record appliance solution that improves both the quality and efficiency of medical recordkeeping. Since its deployment at West China Hospital, the solution has helped medical record generation time to about one second, which has dramatically improved the hospital’s consultation efficiency.

Based on these and other projects, Chen outlined five key findings shaping the journey toward industrial intelligence.

First, choosing the right scenarios for implementation is critical. According to Chen: “The value of AI lies in its ability to transform processes and promote intelligent product and service delivery when deeply integrated with core production scenarios.”

Second, the power of industry-specific AI models depends on high-quality vertical data. General-purpose models often fall short in industrial environments, but when trained and fine-tuned with large amounts of proprietary data, they become specialised and far more effective.

Huawei explained, “Such industry-specific models become a significant competitive edge for enterprises.”

Third, demand for large-scale inference will continue to grow rapidly as AI agents become more widespread.

Fourth, human-AI collaboration is becoming a new organisational paradigm, streamlining processes.

Finally, systematic governance and risk management are more important than ever. Chen emphasised that the goal of governance is “to ensure secure, sustainable and trustworthy AI,” prompting many organisations to prioritise robust frameworks.

Huawei’s three-step ‘ACT’ pathway

Huawei’s new “ACT” pathway, which stands for Assess, Calibrate and Transform, is designed to help industries adopt AI more effectively.

As a result, Huawei revealed, the first step in this is to assess high-value scenarios, enabled via Huawei’s AI Scenario Assessment Framework.

Huawei uses its AI Scenario Assessment Framework to evaluate business value, scenario maturity and technology integration, as a result, the move has already helped customers pinpoint more than 1,000 core production scenarios ready for AI deployment.

The second step, “Calibrate AI models using vertical data”, helps companies customise AI models using their own industry-specific data.

Huawei provides a full toolchain and AI security protection system for this purpose.

As Chen explained, the toolchain “transforms raw enterprise data into knowledge, and knowledge into models.”

The third step, Transform business operations with scaled AI agents, focuses on scaling up AI in daily business operations thanks to its agents on its one-stop Versatile platform, which can automatically generate agents and workflows exceeding 100 steps.

Meanwhile, Huawei has also launched an AI talent enablement program to train professionals in developing, deploying and managing agents.

Chen emphasised that following the ACT pathway requires strong ICT infrastructure – from data preparation to model training, inference and development.

He highlighted Huawei’s ongoing innovations in data storage, computing, and networking, including AI storage and Unified Cache Manager plugins, 800GE high-speed data centre network solutions, StarryLink optical modules and the Ascend AI SuperPoD 384.

Launch of nine jointly-developed industrial intelligence solutions

During the keynote, Huawei also highlighted its growing “Huawei + Partners” ecosystem, which encourages collaboration across industries.

As a result, the company is supporting this ecosystem through open software, hardware,and systems; enablement platforms and tools; and experience sharing to help replicate successful practices.

So far, the ecosystem has attracted over 6,300 Kunpeng partners, 2,700 Ascend partners, 70 consulting firms and 750 independent software vendors.

Huawei announced nine new industrial intelligence solutions developed with its partners.

These include the City AI Centre & Foundation Model Solution, Intelligent Computing Labs Solution, Medical Technology Digital and Intelligence 2.0 Solution, Banking AI and Foundation Model Solution, Intelligent Manufacturing R&D Solution, SMART Logistics & Warehousing Solution, Intelligent Distribution Solution, Intelligent Exploration and Development Solution for Oil and Gas and the Steel Blast Furnace Temperature Prediction Solution.

“AI is changing the world around us,” Chen said.

“Our collective response to the changes brought by AI will determine whether it can truly deliver its “last mile” value, and transform technology breakthroughs into real-world benefits.”

He concluded: “In this sense, every one of us will serve as both a pathfinder and a torchbearer and Huawei will stand by your side as we build an intelligent future together.”