This site uses cookies. By continuing to browse the site you are agreeing to our use of cookies. Read our privacy policy>Close

If you need help, please click here:
MENU

Infusing Intelligence into Enterprise ‘Neurons’

By Qiu Heng, Chief Marketing Officer, Enterprise Business Group, Huawei Technologies Co., Ltd.

Recent data from Citi Research shows that between 2016 and 2019, the major industries that Huawei Enterprise Business Group (EBG) serves (including government and public utilities, banking, manufacturing, and transportation) will increase their Artificial Intelligence (AI) investments by two-to-five times; however, great problems persist in regards to industry-oriented AI applications for enterprises.

Based on Huawei’s observation, despite the fact that tremendous AI technical breakthroughs have been made to support a full range of AI applications, most enterprise AI applications are still siloed, mono-functional, fragmented, and general. They cannot support the intelligentization of enterprise organizational and functional modules. We have witnessed a shortage of proven industry-oriented AI applications.

To systematically support the intelligence of enterprise organizations and develop Industry-oriented AI applications, the following conditions must be met:

• Platforms that can support the systematic growth of industry-oriented AI applications

• A combination of deep industry understanding and AI technologies

• Continuous optimization and improvement based on business practices

Each organizational or functional module is a digital neuron of an enterprise. Based on a deep industry understanding gained from enterprise businesses and our experience applying AI to Huawei’s business operations, we aim to do the following:

• Build a digital platform with the device-cloud synergy to inject AI into each digital enterprise neuron.

• Systematically fuel the intelligentization of each enterprise and organization.

• Build a fully connected, intelligent world.

First, Huawei provides AI products and solutions at various layers, including the device, cloud, and AI enablement layer, to form a complete platform base for AI applications. At the same time, Huawei and its partners closely collaborate and leverage each other’s strengths. Partners provide AI applications and algorithms while Huawei provides a complete digital platform that supports AI through AI chips, enhanced Information and Communications Technology (ICT) infrastructure, and AI enablement modules. Third, based on the principle that ‘we should first apply AI within our own company, just like those who produce parachutes try them out first,’ we adopt AI to improve our operational efficiency through the Digital Huawei project. On top of this, we work with leading industry customers to develop experience with AI industry applications. Huawei and its partners have thus far achieved several success stories.

Unique Advantages of the Huawei AI Solution — ICT Digital Platform with Device-Cloud Synergy

Based on core capabilities, such as chips, algorithms, and architectural design, Huawei has built a digital platform to provide AI chips/terminals, AI-enhanced cloud infrastructure that supports computing/storage/communications, and AI enablement platforms, including the Big Data platform, video cloud Platform-as-a-Service (PaaS), and Enterprise Intelligence (EI).

The digital platform with device-cloud synergy can systematically inject the AI applications developed by our partners into the digital neurons of enterprises, such as the supply chain, delivery, Research and Development (R&D), market, finance, and governance domains, to promote enterprises’ digital transformation in a comprehensive manner. With an industry-leading ICT digital platform, Huawei aims to provide the best AI application performance and experience, simplify application development, and enable quick application release.

‘Practice What One Preaches’ — Building Digital Huawei with AI

Huawei applies AI to business domains, such as supply chain management, delivery, finance, and internal audit, to improve internal operational efficiency and quality. Take the AI application in the supply chain as an example: Huawei applies AI to logistics and digital warehousing; feeds machine learning models with the historical shipment data, overall system configuration, and basic tally and packaging rules; and enables systems to generate warning information based on new protocols. In this way, the estimation accuracy has been increased from 30 percent to 80 percent. At the same time, AI can optimize picking routes to improve efficiency by more than 30 percent.

In addition, AI can also optimize the loading and unloading of trucks, increasing the number of mixed orders processed per vehicle by more than five times. AI also shortens container detection and identification service time, improving efficiency by over 10 times.

These practices accelerate the digital transformation of traditional logistics enterprises.

Combining Industry Understanding with AI to Create Industry-Oriented AI Applications

Take the AI application used in Smart City construction as an example. Huawei’s AI-enabled video cloud solution has the first all-cloud architecture in the industry. It leverages hundreds of AI algorithms on hybrid clouds to provide global video sharing, remote browsing, and remote retrieval, making multiple breakthroughs in the public safety field. This solution has improved the case resolution rate by 50 percent and reduced the public traffic accident rate by 18 percent.

Huawei has applied AI to traffic management systems to assist law enforcement with Big Data-based decision-making, thereby improving law enforcement efficiency by 34 percent, decreasing the manual workload of traffic police by 47 percent, and reducing the average vehicle waiting time by 24 percent.

Huawei looks forward to working with partners to drive digital transformation of enterprises and build a fully connected, intelligent world.

【Huawei applies AI to】

• Logistics and digital warehousing: increasing the estimation accuracy from 30% to 80%

• Optimized picking routes: improving the efficiency by more than 30%

• Optimized loading and unloading operations of trucks: increasing the number of mixed orders processed per vehicle by more than 5 times

• Shortened container detection and identification service time: improved efficiency by over 10 times

ICT Insights on the go

Scan for mobile reading

Issue 22 - CEBIT Extra

Issue 22: CEBIT Extra

A Digital Symphony of Technology & Ecosystem

Current catalogue

Commentary

Features

Digital Symphony

Technology Sonata

Industry Variations

Ecosystem Minuet

Analyst Corner

Last Word