Finally, we must cultivate ICT talent capable of driving continuous breakthroughs in intelligent transformation. This includes implementing training programs, fostering cross-disciplinary collaboration, and encouraging innovation.
By focusing on these key areas, we can accelerate industrial intelligence and drive a new wave of productivity and development. As we continue to navigate the ever-evolving landscape of AI and digital transformation, Huawei remains committed to leading the way towards a more intelligent future.
References:
[1] Source: https://www.huawei.com/en/news
[2] Source: https://www.deepseek.com
These efforts will drive accessibility, cost-effectiveness, and widespread adoption, making AI as universal as water and electricity for all industries.
Fourth, we must train ICT talent in a more targeted manner.
As for the four areas, I would like to share our practices.
Diving deep into scenarios to define industrial ICT architectures
Regarding integrating technology with industry scenarios, we have established eight integrated teams for more than 20 industries targeting 255 scenarios. Today, we are proud to have supported the transformation of over 200,000 global enterprises. Through this experience, we have identified four key objectives we must achieve:
First, strategies must be actionable. We must align investment in technological and data architectures with each company’s strategic goals.
Second, in any company, the ICT systems of each business module must work collaboratively to eliminate information silos.
Third, risks must be controllable. We need to establish clear security frameworks to ensure subsystems align with overall designs.
Fourth, innovation must be scalable and integrate emerging technologies, so that we can rapidly incubate and validate innovative industrial solutions.
In addition to these objectives, we must consider the unique demands of each industry. In more than 20 sectors, we have planned target architectures for ICT infrastructure tailored to specific needs and pain points.
Let’s look at the financial industry as an example. The global financial sector is moving toward “real-time payments,” requiring banks to offer “always-on services” and “rapid risk interception.” These developments call for a next-gen ICT infrastructure featuring “Four Zeros”: Zero Trust for in-depth security, Zero Wait for better user experience, Zero Downtime for always-on services, and Zero Touch for automated maintenance.
By examining the unique needs of the financial sector, Huawei developed the RAAS target architecture for banking ICT infrastructure. RAAS stands for Reliability, Availability, Autonomy, and Security, to achieve the “Four Zeros” goal.
In Thailand, Kasikorn Bank (KBANK) has adopted Huawei’s resilient data center solution which is based on the RAAS architecture. By employing Huawei’s next-gen all-flash storage Dorado and intelligent autonomous driving network, KBANK established a high-availability service zone and achieved more robust transactions. This has tripled its system performance, with zero data loss and an annual transaction growth rate of over 40%.
Innovating to consolidate the foundations for intelligent transformation
It is important to recognize that every industry has its own unique challenges and pain points when it comes to intelligent transformation. Generally, an industry’s intelligent transformation goes through three key phases: informatization, digitalization, and intelligence.
Huawei comprehensively considers customer priorities at different stages of intelligent transformation while also considering how we can protect their investment, and achieve continuous evolution, seamless data migration, ecosystem integration, and more.
For example, Meralco, the Philippines’ largest power distributor, is partnering with Huawei to drive its digital and intelligent transformation through broadband, cloud, and intelligence.
In the broadband phase, Meralco adopted Huawei’s wireless private network solution, achieving four-nines stability, a fivefold capacity increase, and a 50% reduction in OPEX.
Now, in the cloud phase, Meralco is deploying Huawei’s Advanced Meter Infrastructure (AMI) and a power distribution monitoring solution on its private cloud. This has led to a 30% improvement in resource utilization, a 40% increase in system reliability, and a 20% boost in O&M efficiency, laying a solid foundation for full digitalization.
Leading products and solutions with AI-oriented infrastructure
In terms of creating AI-oriented technology and product solutions, Huawei plays on its unique full-stack strengths in network, storage, computing, and cloud to constantly set industry benchmarks.
For example, through the synergy of our full-stack capabilities, Huawei has developed an industry-leading Multilayer Ransomware Protection (MRP) solution. This solution uses AI to accurately identify viruses. With six layers of protection, it prevents data leakage and ensures service recovery just seconds after an incident.
In connectivity and data transmission, Huawei has built a high throughput data center network (DCN) using the industry’s first 100-terabit DC switch. Additionally, with our innovative NSLB (network scale load balance) algorithm and StarryLink optical modules, AI training efficiency is improved by 10%.
In data storage, Huawei’s next-gen OceanStor Dorado storage system introduces an innovative data-control separation architecture, boosting IOPS performance by 3 times. This architecture also achieves unprecedented “eight nines” reliability.
To meet both general and intelligent computing needs, we have developed Kunpeng for general-purpose computing, and Ascend for intelligent computing. openEuler is an open-source operating system, supporting different processor architectures, such as Kunpeng, x86, and RISC-V. To date, we have more than 6.35 million developers for Kunpeng and Ascend.
Finally, in cloud technology, Huawei Cloud has introduced Model as a Service (MaaS), enabling AI models to be used out of the box. Huawei Cloud also offers high-performance distributed GaussDB databases that support up to one billion daily active users.
Empowering inclusive AI adoption in every industry
In terms of inclusive AI adoption, it is driven by three key trends: First, open-source large models lower access barriers, making AI more widely available. Second, synthetic data combined with small industry-specific datasets enhances model performance while reducing the need for large volumes of raw industry data. Thirdly, efficient architectures and distillation techniques reduce computational demands during the inference phase, enabling more flexible deployment on edge devices and AI hardware.
With these three trends, enterprises will need easily accessible AI products and hardware, easy-to-use AI application development tools, and a supportive developer community and ecosystem.
And so, Huawei has introduced an AI appliance that integrates highly. This product supports over 50 mainstream foundation models. This will make it a lot easier for industry customers to apply AI, speed up AI deployment, and accelerate the transition toward greater intelligence.
In Shanghai, China, Huawei helps Ruijin Hospital launched RuiPath. Within just two months, it had been trained on one million pathology slides, covering the types of cancers that account for 90% of the annual number of cancer patients in China.This model provides doctors with an intelligent assistant for early detection, diagnosis, and treatment.
Regarding the ecosystem, Huawei supports the open-source AI MindSpore community. This community helps developers quickly solve technical problems during AI application development. Sign up for our newsletter to stay updated on the latest news and trends in the ICT industry. Get access to exclusive content, expert analysis, and industry insights that can help your business thrive. Don’t miss out on this valuable resource, sign up today!