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Alibaba Cloud Drives AI Enhancements Across Industries in Asia
- Customers from technology development, imaging, travel, beauty and healthcare are leveraging Alibaba Cloud’s infrastructure and AI solutions to transform industry experience whilst boosting efficiency
- “Cloud + AI” strategy accelerates external client revenue, achieving double-digit public cloud growth and triple-digit YoY growth in AI-related product revenue for the fifth consecutive quarter
HANGZHOU, CHINA – Media OutReach Newswire – 9 December 2024 – With the unstoppable market appetite for AI, Alibaba Cloud, the digital technology and intelligence backbone of Alibaba Group, continues to pioneer technology innovation across a diverse range of industries from technology development, imaging, travel to beauty and healthcare.
Leveraging a robust “Cloud + AI” development strategy, Alibaba Cloud has witnessed substantial growth in external client revenue. This includes double-digit increases in public cloud services and remarkable triple-digit growth in AI-related product revenue for the fifth consecutive quarter according to the latest September quarter earnings.
In 2024, organizations are reimagining their operations and customer engagement strategies using Alibaba Cloud’s cutting-edge cloud solutions. From the revamped AI infrastructure to proprietary Qwen LLM series and advanced AI analytics, these technologies and products have grown beyond just operational tools. They are the catalysts for a digital transformation, enhancing customer experiences and operational efficiencies across the Asian landscape.
Selina Yuan, President of International Business, Alibaba Cloud Intelligence, said, “We are thrilled to witness our robust cloud infrastructure and AI offerings empowering organizations across a diverse range of industries to further drive transformation in 2024 with our partners together. As the leading cloud service provider in Asia, we remain committed to helping our customers enhance their operations and deepen their connections with consumers, while collaborating with our ecosystem partners to unlock the full potential of AI and cloud technologies for businesses of all sizes.”
Supporting Innovation in Japanese-language LLMs
In Japan, Lightblue, a University of Tokyo startup that develops AI solutions such as image analysis and natural language processing with the aim of AI democratization, has utilized Alibaba Cloud’s Qwen to support the development of its Japanese-language LLMs.
By leveraging Alibaba Cloud’s advanced architecture and training capabilities, Lightblue has been able to enhance its offerings for East Asian languages, specifically Japanese. The company also employed other cloud solutions from Alibaba Cloud such as Elastic Compute Service, Server Load Balancer and Object Storage Service which provides efficient and secure cloud services.
This collaboration highlights Alibaba Cloud’s commitment to supporting technology startups in pursuing their innovative goals.
“Alibaba Cloud’s Qwen has proven to be the best publicly available option for supporting Japanese. By fine-tuning our LLM with Qwen, we significantly improved its accuracy. This collaboration elevates our AI solutions and advances our mission to democratize technology in East Asia,” said Shunichi Taniguchi, Director & Senior Researcher at Lightblue.
Revolutionizing image capture with great flexibility
In Malaysia, Pictureworks, a leading provider of innovative photography imaging solutions, has harnessed Alibaba Cloud’s extensive AI and cloud technologies to revolutionize the flexibility and quality of high-resolution image capture.
This collaboration has been successfully implemented at seven premier tourist attractions across Asia, with additional projects underway. Notably, by utilizing Alibaba Cloud’s robust and secure technologies, Pictureworks has produced over 150,000 photos at an award-winning theme park in Hong Kong.
Key solutions provided by Alibaba Cloud include its Platform for Artificial Intelligence (PAI), Function Compute, and Object Storage Services (OSS). PAI is designed to streamline the machine learning lifecycle, offering a fully managed service for deploying machine learning models, which enables Pictureworks to swiftly adjust AI models as needed within tight timelines.
Sharon Tse, CEO of Pictureworks, said, “Alibaba Cloud’s technology has fundamentally transformed how we capture images at Pictureworks. The flexibility it provides allows us to produce high-quality photographs without relying on traditional setups, like green screens. This innovation not only enhances the quality of our work but also enriches the customer experience by creating more authentic and dynamic photographic memories.”
Transforming Travel Experience with Significant Cost Reduction
Singapore’s Atlas, an innovative B2B travel technology provider, has leveraged Alibaba Cloud’s infrastructure and AI advancements to cater to a wide array of global travel sellers and low-cost airlines. By utilizing Alibaba Cloud’s LLM Qwen and Model Studio platform, Atlas has implemented a digital chatbot that offers 24/7 customer support, efficiently addressing partner inquiries related to booking processes and payment options.
Since partnering with Alibaba Cloud in 2021, Atlas has achieved a remarkable 45% reduction in operational costs. This collaboration has helped Atlas evolve from a startup in Singapore to a leading player in the industry, transforming the low-cost flight market with its cutting-edge travel platform.
“Alibaba Cloud has played a key role in Atlas’s rapid expansion by offering a scalable, secure infrastructure. We were drawn to Alibaba Cloud primarily for its developer-friendly user interface. Our collaboration has now extended to the field of AI, which has significantly enhanced efficiency and improved customers’ experience,” said Mary Li, Founder & CEO of Atlas.
Enhancing Customer Interactions in Skincare
Drunk Elephant, a renowned skincare brand acquired by Shiseido in 2019, deployed Alibaba Cloud’s latest foundation model Qwen-max in its new customer chatbot named DRUNKGPT to enhance customer interactions in China. This 24/7 AI-powered skincare assistant responds to inquiries about product recommendations and skincare tips with nuanced and personalized responses. The collaboration aims to deliver a richer brand experience through innovative digital engagement opportunities.
To improve the accuracy and relevance of its responses, DRUNKGPT was further trained on the brand’s knowledge database and optimized using various Alibaba Cloud AI services, including Supervised Fine-Tuning (SFT), Retrieval Augmented Generation (RAG), vector recall, and a multi-agent framework.
“Utilizing Alibaba Cloud’s advanced AI technologies allows us to create a more personalized and responsive experience for our customers,” said Andy Cai, Brand Director of Drunk Elephant China, “We are excited about the potential of DRUNKGPT to transform how consumers connect with our brand.”
AI Nutritionist with Personalized Tips
Haleon China, a prominent consumer health company, is utilizing Alibaba Cloud’s Large Language Model (LLM) Qwen, along with Retrieval-Augmented Generation (RAG) technology to launch a specialized AI nutrition assistant solution called iNutrition for its Chinese consumers. This AI-powered expert accurately interprets consumer inquiries, delivering valuable nutritional guidance. It results from the integration of Qwen’s robust capabilities and Haleon’s extensive internal nutritional knowledge base.
“By integrating Alibaba Cloud’s large model Qwen with Haleon’s years of accumulated internal knowledge base, we provide one-on-one services to consumers, offering nutritional and health advice that is more closely tailored to each consumer’s individual circumstances” said Bing Liu, Digital & Tech Head, Haleon Greater China.
Hashtag: #AlibabaCloud
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About Alibaba Cloud
Established in 2009, Alibaba Cloud (www.alibabacloud.com) is the digital technology and intelligence backbone of Alibaba Group. It offers a complete suite of cloud services to customers worldwide, including elastic computing, database, storage, network virtualization services, large-scale computing, security, big data analytics, machine learning and artificial intelligence (AI) services. Alibaba has been named the leading IaaS provider in Asia Pacific by revenue in U.S. dollars since 2018, according to Gartner. It has also maintained its position as one of the world’s leading public cloud IaaS service providers since 2018, according to IDC.
Media OutReach
Woodfibre LNG Marks 2025 as a Year of Construction Progress, Environmental Stewardship and Community Partnership
Over the past year, the project advanced from planning into visible, on-the-ground execution. Major construction milestones included the pouring of foundations for key modules, continued progress on marine piling, and further implementation of modular construction techniques designed to reduce on-site footprint while accelerating delivery timelines.
These advancements were achieved through close collaboration with project partners, suppliers and contractors, and in partnership with the Sḵwx̱wú7mesh Úxwumixw (Squamish Nation).
In 2025, Woodfibre LNG, a member of the RGE group of companies founded by Sukanto Tanoto, continued to operate its floatel workforce accommodation solution, designed to minimise pressure on local housing and community services. As of November, two floatels were in active operation, providing high-quality, safe and comfortable living conditions for the project workforce while supporting construction efficiency.
Environmental protection remained a central focus throughout the year. The project’s Marine Mammal Monitoring Programme, which includes hydroacoustic monitoring, exclusion zones and shore-based observation posts, delivered measurable outcomes by enabling real-time operational decisions, including pauses to marine activities when marine mammals entered exclusion areas.
In parallel, remediation of legacy materials from the former pulp mill site continued, with hundreds of thousands of tonnes of historical waste removed. These efforts have contributed to improving site conditions for both local communities and marine and terrestrial ecosystems in Howe Sound.
Woodfibre LNG’s Operator Training Programme, delivered in partnership with the Squamish Nation Training and Trades Centre and the British Columbia Institute of Technology (BCIT), progressed throughout the year. The programme’s first cohort of graduates transitioned into full-time roles, supporting the development of long-term, skilled local employment opportunities linked to the project.
Through its Community Partnership Programme (CPP), Woodfibre LNG continued to invest in local communities across the Sea-to-Sky corridor. In 2025, the programme surpassed $1 million in total grants since its inception, supporting initiatives in sports, healthcare, emergency services, arts and culture, and youth development.
Luke Schauerte, CEO of Woodfibre LNG, said, “2025 has been a year of significant progress for Woodfibre LNG. We are proud of what our team and partners have accomplished together and look forward to building on this momentum in the year ahead.”
With more than half of the project’s development now complete, Woodfibre LNG remains focused on advancing construction safely and responsibly, while maintaining strong partnerships with Indigenous communities, local stakeholders and regulators.
As the project looks ahead to 2026, Woodfibre LNG continues its work toward delivering lower-carbon, responsibly produced Canadian energy to international markets.
Hashtag: #RGE #PacificEnergy #PacificCanbriamEnergy #WoodfibreLNG #LNG #environment #partnerships #LNG #liquefiednaturalgas #energy #sustainability
The issuer is solely responsible for the content of this announcement.
About Woodfibre LNG
The Woodfibre LNG Project is owned by Woodfibre LNG Limited Partnership, owned 70 per cent by Pacific Energy Corporation (Canada) Limited and 30 per cent by Enbridge Inc. The Woodfibre LNG facility is being built on the site of the former Woodfibre pulp mill site, which is located about seven kilometres southwest of Squamish, B.C. Woodfibre LNG will source its natural gas from Pacific Canbriam Energy, a Canadian company with operations in Northeastern British Columbia. Pacific Canbriam is an industry leader in sustainable natural gas production. Woodfibre LNG and Pacific Canbriam Energy are subsidiaries of Pacific Energy Corporation Limited. Woodfibre LNG is the first industrial project in Canada to recognise a non-treaty Indigenous government, Sḵwx̱wú7mesh Úxwumixw (Squamish Nation), as a full environmental regulator.
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New Opportunities in Southeast Asia’s Digital Shift: Thailand Emerges as the New ASEAN’s AI Hub
The expansion of AI and data centers (DCs) in Thailand is driving several transformative trends:
- Changing data traffic patterns. As DCs multiply in Bangkok, Chonburi, and beyond, Thailand is evolving from a traditional data “transit point” into a regional “convergence hub.” East-west digital traffic is accelerating, with Thai DC clusters increasingly meeting the computing demands of Southeast Asia and the broader Asia-Pacific.
- Optimized data routing. Data flows that once relied on submarine cables via Hong Kong and Singapore are gradually shifting to land-based digital corridors linking China, Laos, and Thailand. This route reduces data transmission latency from southwestern China to Southeast Asia.
- Elevated business expectations. Demand is shifting beyond “sufficient bandwidth” toward “high-quality experience.” Thailand sits in a “latency sweet spot” for key Asia-Pacific markets, with latencies to Singapore, Vietnam, and Malaysia falling within an optimal range—a crucial advantage for latency-sensitive sectors like autonomous driving, telemedicine, and fintech.
New opportunities inevitably bring new challenges, and Thailand also addresses the following three challenges:
1. Massive traffic impacting existing networks: Compared with mature hubs like Singapore, Thailand has insufficient international submarine cables. A large volume of cross-border data still needs to be transmitted through detours. Meanwhile, as DC investments continue to accelerate, traffic will keep rising. Analysis shows that by 2029, Thailand’s DC capacity may reach 2000 MW, with cross-region traffic surging to 630 Tbps. The current network architecture is no longer capable of supporting such heavy traffic.
2. Latency advantages not fully realized: Despite its geographic advantages, Thailand’s network latency performance has yet to reach its full potential. Routes to key markets, like China, still require third-party transit. What’s more, traditional network scheduling lacks intelligent route selection capabilities, making it difficult to provide deterministic assurance for latency-sensitive services like financial transactions and real-time AI interactions.
3. Potential risks in network reliability: Thailand’s network reliability faces structural challenges. Single points of failure have previously caused hours-long interruptions to critical services, directly undermining enterprise users’ confidence.
To overcome these challenges, Thailand can take a systematic approach to upgrading its digital infrastructure, aiming to build next-generation AI-ready networks.
1. Building ultra-high-bandwidth “sea-land” connectivity. By actively introducing new submarine cables, Thailand can significantly enhance its connectivity with the Asia-Pacific region and the world. Meanwhile, accelerating the construction and expansion of key terrestrial cable routes—such as China-Laos-Thailand and Thailand-Malaysia-Singapore—will transform Thailand’s geographic advantage into a tangible connectivity advantage.
2. Optimizing network routes to create a regional low-latency core. Strengthening the Kunming-Laos-Thailand terrestrial cable route will continuously reduce transmission latency between China and Thailand, meeting the needs of real-time applications. In addition, the introduction of autonomous networks will enable automatic selection of the optimal, shortest route, shifting from “best effort” to “deterministic low latency.”
3. Designing a “never-interrupted” high-resilience architecture. Deploying active-active DC networks with millisecond-level switchover capabilities ensures the continuity of core services. Meanwhile, AI-driven intelligent O&M can reduce fault detection and diagnosis from hours to minutes.
Thailand’s booming AI and DC industries are driving rapid growth in regional and cross-border business demand. In this trend, network infrastructure construction centered on DCs is the core engine that drives AI transformation, propelling Thailand toward its vision of becoming the new AI hub for ASEAN.
Hashtag: #huawei
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MyRepublic Launches Card Sub, Singapore’s First Subscription Service for Trading Card Game Fans
Hashtag: #CardSub, #MyRepublic #MyRepublicCardSub #CardSubSG #TCG #GeeksUseUs
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MyRepublic
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