Latest news with #GeorgeHuang
Zawya
07-03-2025
- Business
- Zawya
SenseTime expands AI capabilities in the Gulf Region with DeepSeek Integration and Open-Source LazyLLM Framework
Riyadh – SenseTime, a leading AI software company, has successfully integrated DeepSeek Enterprise into SenseCore, SenseTime's universal AI cloud platform. Additionally, the company has recently launched LazyLLM, an open-source framework designed to simplify AI application development. SenseTime's expansion comes at a time of growing demand for cutting-edge AI solutions throughout the Middle East and Africa (MEA) region. By incorporating DeepSeek-R1-Enterprise, SenseCore now offers businesses and developers enhanced performance, stability, and industry-leading inference efficiency. The platform is also equipped with a comprehensive alert system to ensure smooth AI development and reliability. George Huang, CEO of SenseTime MEA commented: 'Saudi Arabia is rapidly emerging as an AI powerhouse, driven by strong government initiatives, a thriving digital economy, and Vision 2030's long-term direction. By integrating DeepSeek Enterprise and leveraging the open-source LazyLLM framework, we are enabling businesses across the region to harness advanced AI capabilities. Our scalable, flexible technologies have many use cases, and have been especially effective for applications in sectors such as agriculture, entertainment, tourism, and smart cities. LazyLLM: A Developer-Friendly AI Framework SenseTime's new open-source LazyLLM makes AI development more accessible and efficient, requiring minimal coding. With just 10 lines of code, developers can build multi-agent AI applications, significantly accelerating both prototyping and deployment. LazyLLM provides a structured approach for intent recognition, knowledge retrieval, and other AI-powered functions. Compatible with various AI frameworks and databases, it offers a seamless development experience and more flexible deployment of AI applications. WanXiang: A One-Stop Large Model Platform Built on LazyLLM, WanXiang is a low-code AI model platform that enables businesses to deploy large-model and agent-based AI applications with ease. Its intuitive drag-and-drop interface removes technical barriers, allowing companies to train, fine-tune, and integrate AI solutions quickly. By reducing the complexity of AI adoption, WanXiang optimizes performance and cost-effectiveness. Scaling AI Across Industries SenseCore's AI deployment solutions now support 10 industries, including finance, construction, and aerospace. To date, more than 30 companies have already implemented these AI solutions to enhance AI-driven business intelligence and operational efficiency. As Saudi Arabia and the wider MEA region accelerate AI adoption, businesses are seeking advanced, scalable solutions to drive efficiency and innovation. With the integration of DeepSeek Enterprise and the launch of LazyLLM, SenseTime is equipping industries with the tools to transform AI potential into real-world impact, shaping the future of AI-powered economies.
Arab News
13-02-2025
- Business
- Arab News
Harnessing AI for a smarter, greener Saudi Arabia
Last year, global average temperature records were shattered once again, with scientists now agreeing that climate change is accelerating far faster than anticipated. The devastating wildfires in Los Angeles served as a stark reminder that sustainability is no longer a choice, but a necessity. To safeguard the planet, we must rethink 'business as usual,' embrace agility, and accelerate innovation. Artificial intelligence can help us do just that. Living in Saudi Arabia, after time spent in East Asia, North America, and South America, I continue to witness the transformative power of bold visions. Through Vision 2030, launched in 2016, Saudi Arabia is diversifying its economy, empowering citizens, and creating a vibrant environment for investors. AI plays a central role in this vision as the Kingdom works toward becoming one of the top 15 countries in AI by 2030. Since AI is key to processing large datasets, streamlining processes, and predicting outcomes, it is a powerful tool in tackling the climate crisis. It will play a crucial role in helping the Kingdom achieve its goals under the Saudi Green Initiative, including reaching net-zero carbon emissions by 2060 and generating 50 percent of its domestic power supply from renewable energy. AI is already being used to predict weather patterns, helping optimize solar and wind energy generation, reduce waste, and improve efficiency. A 2024 World Economic Forum report highlighted that AI-driven energy optimization could reduce greenhouse gas emissions by 10 percent. In agriculture, AI-driven analytics are supporting precision farming, water conservation, and increased crop yields — essential for arid regions like the Gulf. To turn our ambitious sustainability goals into reality, we must harness AI across all sectors and industries. In both AI and sustainability, Saudi Arabia continues to lead by example. As a key player in the energy transition and committed to advancing AI development, Saudi Arabia is well-positioned to lead in bridging technology and impact to accelerate progress. George Huang Late last year, Bloomberg reported that Saudi Arabia has committed $100 billion to become a global AI powerhouse, underscoring the Kingdom's AI ambitions. Its sustainability efforts are equally ambitious. More than 85 initiatives have been launched under the Saudi Green Initiative, totaling more than $180 billion in sustainability investments. This is one of the key reasons I chose to come to Saudi Arabia — to contribute to its rapidly growing and environmentally conscious AI ecosystem. Among the many projects we have undertaken across the Kingdom, I am particularly proud of our work to protect Saudi Arabia's oceans. We developed the world's first AI-driven analytics platform for sustainable growth, transforming how technology can drive environmental conservation. From reconstructing high-resolution 3D coral habitats and mapping wildlife population trends to monitoring environmental quality and forecasting ecological risks, our platform fills critical data gaps and delivers actionable, data-driven insights. While AI does have its risks and challenges, there is a strong case for its inclusion in sustainability toolkits, complementing human-led efforts. Foresighted stewardship, interdisciplinary collaboration, and regulatory compliance are key to unlocking AI's full potential and ensuring it serves as a force for good. Partnerships also play a crucial role in developing impactful AI applications. Our regional ocean initiatives are a testament to this, benefiting both marine life and local communities. The recent WEF meeting in Davos strengthened ties between AI practitioners, scientists, and activists working toward a more sustainable future. Even corporations, facing increasing environment, social, and governance requirements, stand to benefit from applying AI to address climate challenges. We should aim for continued multilateralism, even in a time of growing global conflicts. Despite its flaws, Davos remains unparalleled in fostering dialogue among world leaders. As a key player in the energy transition and committed to advancing AI development, Saudi Arabia is well-positioned to lead in bridging technology and impact to accelerate progress. In doing so, it could inspire other countries and companies to follow suit, shifting the narrative from AI supremacy to AI collaboration in pursuit of a better tomorrow. I could not be more excited to contribute to the growth of AI in Saudi Arabia and watch the region emerge as both an AI powerhouse and a key partner, using cutting-edge technology to drive global sustainability. Now is the time to work together to shape a smarter, greener future. • George Huang is CEO of SenseTime MEA, a regional leader in AI and a joint venture with Saudi Arabia's Public Investment Fund.
