Huawei’s AI Strategy and Product Portfolio

Huawei’s new vision is a call for an intelligent world powered by artificial intelligence (AI). This in turn has shaped our AI strategy – a strategy that’s predicated on ten factors that will pave the way for widespread AI adoption. These are:

1. Faster model training
2. Abundant and affordable computing power
3. AI deployment and user privacy
4. New algorithms
5. AI automation
6. Practical application
7. Real-time, closed-loop system
8. Multi-tech synergy
9. Platform support
10. Talent availability

In a series of Huawei Connect-themed posts, we’ll be looking at each of these factors in more detail, as well as Huawei’s AI product portfolio and industry applications.

How Do We Reach The Stage of Pervasive Intelligence?

As well as providing the digital infrastructure that enables AI, Huawei has a mature full-stack AI strategy comprising five key areas of focus:

Invest in AI research to develop capabilities for machine learning in domains like computer vision, natural language processing, and decision and inference. Research areas include:

• Data and power-efficiency that requires less overall data, computing resources, and power use
• Security
• Automation

Build a full-stack AI portfolio:

• Deliver abundant and affordable computing power
• Provide an efficient and easy-to-use AI platform with full-pipeline services
• Make the portfolio adaptive to all scenarios, both standalone and cooperative scenarios between cloud, edge, and device

Develop an open ecosystem and talent: Collaborate with global academia, industries, and partners.

Strengthen the existing portfolio: Introduce an AI mindset and techniques into existing products and solutions to create greater value and enhance competitive strengths.

Drive operational efficiency at Huawei: Apply AI to massive volumes of routine business activities for better efficiency and quality.

Huawei’s AI portfolio: full-stack, all-scenario, and inclusive

First, let’s define what we mean by the above terms.

Full-stack: refers to the functionality of Huawei’s technology, which includes chips, chip enablement, a training and inference framework, and application enablement.

All scenarios: indicates the different deployment scenarios for AI, including public clouds, private clouds, edge computing, industrial IoT devices, and consumer devices.

Inclusive AI: refers to Huawei’s commitment to working with all stakeholders to turn AI into a practical reality, making it inclusive and available for every person, home, and organization.