Cloud Expo Asia, the leading tech show in the APAC region, returned on 9-10th October 2024 for its 10th edition at Marina Bay Sands, Singapore. This event brought together prominent cloud professionals, tech specialists, CXOs, startups, and developers for insightful discussions on the trends of cloud, AI, and other cutting-edge technologies, as well as future opportunities they present. Tens of thousands of industry practitioners and exhibitors from Singapore and the APAC region attended the event. Having attended Cloud Expo Asia every year since 2019, Huawei Cloud has been using this event as an important platform to showcase its latest technology and success stories to customers, partners, and the industry across the APAC region.

This year, Huawei Cloud focused on the convergence between AI and big data, and how it may help enterprises drive sustainable growth with data. Besides keynote speeches given by several speakers from Huawei Cloud, a number of impressive exhibition booths were also set up by Huawei Cloud.

Li Yibin, Vice President of Huawei Cloud MKT & Solution Sales in Singapore, received a delegation of VIP customers at the Huawei Cloud booth at the expo. While introducing the solutions on display, Li Yibin talked about Huawei Cloud's impressive growth in Singapore: "Over the past five years, Huawei Cloud has maintained rapid growth in Singapore. In 2023, Huawei Cloud's revenue in Singapore grew by more than 100% year-on-year. Huawei Cloud has deployed five AZs in Singapore, serving over 1,000 enterprise customers from sectors like the government, e-banking, e-commerce, the Internet, and large local companies. Huawei Cloud offers not only reliable cloud infrastructure, but also best-in-class AI and big data services, helping local companies accelerate innovation and intelligent transformation and expand their business."

James Tan, Vice President of Huawei Cloud Solution Sales in APAC, gave a speech at the Cloud AI Horizon Keynote Theater. In the speech, he said: "With the rapid development of AI technology, the convergence between big data and AI has become a major trend. In the era of data-AI convergence, many enterprises face challenges like low efficiency in data mining, management, and use, as well as increasing data security risks. To help customers surmount these challenges, Huawei Cloud's data-AI convergence platform offers a lakehouse solution and AI integration capabilities, supporting data lifecycle management, adoption of AI models of various sizes, and search solutions powered by enterprise knowledge bases. These capabilities help enterprises upgrade from logical data lakes to enterprise knowledge lakes that are specialized in unleashing the value of data. This platform has been verified with impressive results in many projects. At Huawei, leveraging a financial knowledge lake that integrates business data across various corporate processes, the Group Finance Mgmt Dept has been able to accurately identify contract risks and improve efficiency in decision-making. A leading renewable energy company in Singapore is using this data-AI convergence platform to process data from over 300 million IoT sensors. It has also developed its own predictive maintenance platform based on real operational data, significantly boosting equipment reliability, lowering the risk of equipment outages, and improving resource utilization. With powerful technology and service capabilities, Huawei Cloud stands ready to help enterprise customers from various industries unleash the value of data and achieve data-driven growth in the era of data-AI convergence."

Kevin Li, CTO of Huawei Cloud Singapore, said in his speech at the Digital Transformation & Strategy forum: "Huawei Cloud is committed to working with the industry to build a solid cloud native infrastructure and continuously improve software and hardware capabilities as well as edge-device-cloud synergy to meet the diverse needs of different industries. Huawei Cloud has deployed AI in over 1,000 enterprise application scenarios. Working with customers and partners, we have developed over 20 industry-tailored AI models trained on curated industry datasets. Huawei Cloud's distributed infrastructure and intelligent data and AI services will fuel innovation across a vast range of industries."

The main theme of the Huawei Cloud booth is "Everything as a Service: serving as the cloud foundation and industry enabler". The complete Huawei Cloud offerings include KooVerse, the Huawei Cloud global infrastructure; Huawei Cloud Stack, a hybrid cloud solution; CloudPond, the edge cloud; as well as cloud services for AI, big data, and databases.

Huawei Cloud infrastructure: KooVerse is the brand name of Huawei Cloud's global infrastructure of storage, compute, networking, and security resources. As of today, KooVerse consists of 93 AZs in 33 Regions and serves customers in more than 170 countries and territories. In Asia Pacific, Huawei Cloud is the leading cloud service provider in terms of coverage and network experience. For example, in Singapore, Huawei Cloud has deployed 5 AZs, achieving no more than 44 ms latency for the entire APAC region. In Thailand, Huawei Cloud is the only cloud service provider offering three AZs, achieving 12 ms latency for the entire country. In Hong Kong, China, Huawei Cloud has deployed 4 AZs, achieving 9 ms latency for the local region, making Huawei Cloud the top choice for Chinese companies going global from Hong Kong. In Indonesia, Huawei Cloud has deployed 3 AZs, achieving 44 ms latency for the entire country. For industries and organizations that have higher security standards, such as governments, large enterprises, finance, and telecom operators, Huawei Cloud offers Huawei Cloud Stack, a hybrid cloud solution that is also the first hybrid cloud to support AI foundation models. To ensure low latency, data security, and compliance, some customers may still prefer an on-premises cloud. This is where CloudPond comes in. As Huawei Cloud's dedicated edge cloud solution featuring software-hardware synergy, CloudPond allows customers to deploy cloud services on-premises to process data where it is generated and stored, minimizing latency and ensuring compliance in data processing.