Inovatif

Tag: Alibaba Cloud

  • Alibaba Cloud’s new whitepaper shows how AI can power sustainable business transformation

    Alibaba Cloud’s new whitepaper shows how AI can power sustainable business transformation

    A new whitepaper released by Alibaba Cloud, Driving Sustainability with AI: A Guide to Partnering with Technology Service Providers, offers a forward-looking blueprint for how organisations can harness digital infrastructure — particularly AI and cloud computing — to accelerate their sustainable journey.

    Based on insights from the Tech-Driven Sustainability Trends and Index 2024, which surveyed 1,300 business leaders across Asia, Europe, and the Middle East, the report combines industry data, actionable recommendations, and real-world case studies to explore how emerging technologies can close the gap between aspiration and execution.

    The State of Sustainability: Progress, Gaps and Opportunity

    The whitepaper highlights the growing urgency for businesses to act on sustainability, with 80% of surveyed organisations setting green targets. Yet only one-third of these have committed to science-based net-zero goals. Many companies still struggle to move from commitment to impact, citing gaps in technical understanding, measurement tools and concerns about the energy footprint of digital technologies.

    Despite these barriers, a strong majority — 76% — see AI and cloud computing as essential tools to achieve sustainability outcomes. At the same time, 82% say it is critical that these technologies themselves are developed sustainably.

    From Insight to Impact: Green AI in Action

    Alibaba Cloud is helping organisations bridge this gap through platforms like Energy Expert, which uses AI to measure emissions and energy consumption in real time. The platform has already served over 3,000 organisations globally.

    One standout case is its collaboration with Covestro, a polymer material company. Working together, the two helped Chinese beverage brand Nongfu Spring trace the full lifecycle emissions of its recycled water barrels — later repurposed into gel pens – offering supply chain transparency from production to reuse.

    The whitepaper also showcases Alibaba Cloud’s commitment to low-carbon AI innovation. Its open-source Qwen series models are designed for efficiency and accessibility. Japanese AI start-up Lightblue, for example, used Qwen to build a localized high-performance Japanese-language model with lower development costs and energy use.

    Five Strategies to Drive Recommendations for Sustainable Digital Transformation

    The whitepaper identifies five strategic actions that businesses can take to align digital transformation with sustainability outcomes. First, organizations are encouraged to link their adoption of AI and cloud technologies with specific sustainability KPIs—for example, using predictive tools to optimise operations or monitor emissions across supply chains. Second, companies should partner with transparent, green technology providers that publish energy usage and emissions data, operate on renewable energy, and invest in energy-efficient infrastructure. Third, the paper highlights the importance of embedding security into sustainability strategies, noting that cybersecurity concerns remain a key barrier to wider adoption of digital sustainability tools.

    Fourth, it recommends embracing open and trustworthy AI, such as open-source models that reduce costs, improve energy efficiency, and allow for localized applications. Finally, the paper calls for stronger public-private collaboration, with 82% of surveyed executives supporting more active government involvement to accelerate the adoption of sustainable technologies through policy, incentives, and education.

    A Roadmap for Business Leaders

    More than a guide, the whitepaper is a call to action. It emphasizes that sustainability is no longer a nice-to-have but rather a competitive differentiator and a catalyst for growth.

    For companies navigating climate and digital transformation simultaneously, the message is clear: success depends on choosing the right partners, tools, and strategies to deliver measurable progress. With the right foundation, AI and cloud can power a greener, smarter, and more resilient future.

  • Alibaba Cloud strengthens AI capabilities with for international customers

    Alibaba Cloud strengthens AI capabilities with for international customers

    Alibaba Cloud, the digital technology and intelligence backbone of Alibaba Group, unveils new AI models, tools and infrastructure upgrades for its international customers, underscoring its ongoing commitment to driving AI innovation worldwide.

    “We are launching a series of Platform-as-a-Service（PaaS) and AI capability updates to meet the growing demand for digital transformation from across the globe. These upgrades allow us to deliver even more secure and high-performance services that empower businesses to scale and innovate in an AI-driven world,” said Selina Yuan, President of International Business, Alibaba Cloud Intelligence.

    Alibaba Cloud announced new offerings to international customers by expanding access to its foundational models and upgrading infrastructure products. Available through the company’s availability zones in Singapore, these models include the latest from its proprietary large language model (LLM) series, Qwen, such as the large-scale Mixture of Experts (MoE) model Qwen-Max, the reasoning model QwQ-Plus, the visual reasoning model QVQ-Max and the end-to-end multimodal model Qwen2.5-Omni-7b.

    QwQ-Plus is an advanced reasoning model specialising in deep analytical thinking, tackling complex challenges like sophisticated QA tasks and expert-level math problems with precise, algorithm-driven solutions. Meanwhile, QVQ-Max is a visual reasoning model that effectively addresses complex multimodal problems with high accuracy and extended reasoning capabilities, supporting visual input and chain-of-thought output.

    To further support the AI models on the PaaS front, Alibaba Cloud’s Platform for AI (PAI) has rolled out major enhancements to support scalable, cost-effective, and user-friendly solutions for generative AI and LLMs. PAI-Elastic Algorithm Service (EAS) debuts distributed inference capabilities with a multi-node architecture to satisfy the growing demands of super-large models fueled by the rise of MoE structure and ultra-long-text processing, addressing the limitations of traditional single-node architecture. To further boost performance and reduce costs, PAI-EAS introduces the prefill-decode disaggregation function which has led to a 92% increase in concurrency and a 91% boost in tokens per second (TPS) when deployed with the Qwen2.5-72B model, greatly improving scalability and efficiency.

    PAI-Model Gallery has been upgraded to provide a comprehensive selection of nearly 300 cutting-edge open-source models, including the full range of Alibaba Cloud’s proprietary open-source models Qwen and Wan series, all accessible through a seamless, no-code deployment and management experience. It offers diverse deployment methods with underlying computing resources, along with new features like model evaluation for performance insights and model distillation, which reduces deployment costs by transferring knowledge from large to small models.

    To enhance data management efficiency in the AI era, Alibaba Cloud has integrated its native AI inference capabilities – powered by Qwen – into its flagship cloud-native relational database PolarDB. With in-database machine learning capabilities, it eliminates data shifting typically required for inference workflow, significantly reducing processing latency while boosting efficiency and data security. Engineered for text-centric workloads, the new feature is ideal for scenarios including conversational RAG (Retrieval-Augmented Generation) agent development, text embedding generation, and semantic similarity search.

    It also integrates its data warehouse AnalyticDB into Model Studio, Alibaba Cloud’s generative AI model and application development platform, as the recommended vector database for RAG solutions. This enhancement connects organizations’ proprietary knowledge bases directly to AI models and tools available on Model Studio, streamlining development of context-aware applications.

    Alibaba Cloud also launched a new AI search function on its official website. Powered by Qwen, this AI assistant is designed to help potential enterprise clients, especially SMEs, speed up their solution discovery and gain key insights to facilitate strategic decision-making. It also offers access to cost-effective and scalable cloud solutions, along with free AI and cloud computing training resources.
    Upgraded partner incentive policies were also introduced to better support resellers and distributors by providing increased flexibility, higher commission rates, and more rewarding opportunities for mutual growth. This commitment to empowering partners is further reinforced by enhanced training and support resources, designed to strengthen their capabilities and drive success within evolving ecosystem.

    In February 2025, Alibaba Group announced an investment of US $53 billion (RMB 380 billion) over the next three years to advance its cloud computing and AI infrastructure, reinforcing its commitment to long-term technological innovation. This historic investment, which exceeds Alibaba’s total AI and cloud spending over the past decade, underscores the company’s ongoing dedication to AI-driven growth and its role as a leading global cloud provider. Alibaba Cloud now operates a global infrastructure network with 87 availability zones across 29 regions.

  • Alibaba Cloud unveils AI offerings to advance Malaysia’s AI agenda

    Alibaba Cloud unveils AI offerings to advance Malaysia’s AI agenda

    Alibaba Cloud, the digital technology and intelligence backbone of Alibaba Group, has unveiled its latest AI models, solutions, upgraded infrastructure offerings, and AI empowerment program at its inaugural AI Tech Day in Malaysia. These advancements aim to empower businesses and developers in Malaysia to build innovative AI applications more cost-effectively and drive a thriving generative AI ecosystem in the region.

    The event, officiated by YB Datuk Wilson Ugak Anak Kumbong, Deputy Minister of Digital, also marked Alibaba Cloud’s announcement of key collaborations with leading Malaysian enterprises including YTL Power International Bhd’s artificial intelligence (AI) innovation unit, YTL AI Labs , Malaysia’s leading fund management company, Permodalan Nasional Berhad (PNB), and Malaysia’s digital marketing service provider HiSEVEN reinforcing Alibaba Cloud’s role as a trusted technology partner in the country’s AI ecosystem.

    In his address, the Deputy Minister commended the spirit of collaboration, stating “Malaysia is committed to leveraging AI for digital transformation and economic growth. With initiatives like Alibaba Cloud’s AI advancements and industry collaborations, we are strengthening our AI ecosystem and empowering local businesses. Together, we can build a Malaysia that is not just a participant but a leader in the global digital economy—one that is innovative, inclusive, and prosperous.”

    “At Alibaba Cloud, we are committed to driving AI innovation in Malaysia by providing cutting-edge models, scalable infrastructure, and dedicated support for customers, partners and developers. Our latest advancements will empower local talents and businesses to enhance efficiency, scale AI applications, and contribute to Malaysia’s digital future powered by AI,” said Kun Huang, General Manager of Malaysia, Alibaba Cloud Intelligence.

    Powering AI Innovation with Advanced Offerings

    Next-Generation Computing and AI Infrastructure – To support growing AI demands, Alibaba Cloud announced the global rollout of its 9th Generation Enterprise Elastic Compute Service (ECS) instances, set to be available in mid of 2025 in Malaysia. The latest generation of ECS instances has notable performance enhancements compared to its previous iteration, including a 20% increase in computing efficiency. Additionally, by accelerating networks through eRDMA (elastic Remote Direct Memory Access), its performance in supporting high-performance computing, search recommendations, and Redis databases can be further improved by up to 50%.

    Cutting-Edge AI Models and Multimodal Capabilities – Alibaba Cloud introduced the Qwen2.5 series, its latest generation of large language models (LLMs), available in parameter sizes ranging from 7 billion to 72 billion. These models are now accessible via API on its generative AI development platform, Model Studio for businesses and developers to build and deploy AI applications efficiently across various industries, from finance and retail to healthcare and education.

    Alibaba Cloud has also unveiled its latest visual-language model, Qwen2.5-VL, representing a significant enhancement over its predecessor, Qwen2-VL. This open-source, multimodal model is offered in various sizes, ranging from 3 billion, 7 billion to 72 billion parameters, and includes both base and instruction-tuned versions. The flagship model, Qwen2.5-VL-72B-Instruct, is now accessible through the Qwen Chat platform, while the entire Qwen2.5-VL series is available on Hugging Face and Alibaba’s open-source community Model Scope.

    To further support developers, Alibaba Cloud has also unveiled its proprietary AI-powered coding assistant, which will be available for developers in April 2025. The AI Programmer offers features such as code completion and optimisation, debugging assistance, code snippet search and batch unit test generation. It provides developers with an efficient and seamless coding experience, significantly enhancing productivity and creativity.

    AI Solutions for Business and Enterprise Applications – Alibaba Cloud’s AI-driven solutions are designed to help businesses improve operational efficiency, improve customer engagement, and drive digital transformation:

    • AI Doc: An intelligent document processing tool designed to help enterprises manage and utilize their knowledge more efficiently, flexibly, and cost-effectively through converting unstructured documents into structured data, streamlining workflows and reducing operational costs. It leverages Large Language Models (LLMs) to provide a range of functionalities, including document parsing, core content extraction, knowledge base Q&A, content comparison, and report generation.
    • Voice Insight: A multilingual voice recognition and analytics tool that enhances quality inspections, customer interactions, and service monitoring with AI-driven audio and video analysis.
    • Smart Studio: A next-generation content creation platform powered by AI, enabling seamless text-to-image and text-to-video applications to enhance marketing and creative outputs.
    • SmartQ: An AI-driven data analysis module of Quick BI, Alibaba Cloud’s Business Intelligence (BI) platform solution. Powered by Alibaba Cloud’s proprietary large language model Qwen, this innovative chat-based BI solution allows even non-technical users to generate insights by asking questions in plain language, greatly simplifying enterprise analytics experience.

    In addition, to further accelerate the local AI innovation and talent development in the region, the leading cloud service provider has launched its inaugural Alibaba Cloud Malaysia AI Hackathon 2025 in partnership with Malaysia’s digital solutions specialist Agmo Holdings Berhad during the event, inviting innovators, developers, and tech enthusiasts in the region to collaborate, create, and showcase their AI expertise. The program will be open for local registration from February 27 until April 30, 2025, providing local talent with an opportunity to leverage cutting-edge AI technologies and compete on a global stage.