In recent years, artificial intelligence has become one of the most active areas of global digital technology innovation. The artificial intelligence large model is currently the focus of global technological innovation and the main battlefield of the artificial intelligence competition. DataCanvas Limited. (hereinafter referred to as "DataCanvas") stands out in the field of artificial intelligence as an AI foundation software vendor that continuously serves the government and enterprises in digital upgrading.

On June 30th, the "New AI · New Data · New Software" DataCanvas new product launch event was held in Beijing. Guests from more than 50 universities, institutions, and media, including Tsinghua University, China Academy of Information and Communications Technology, IDC China, and Xinhua News Agency, witnessed the birth of the two revolutionary AI product series, "AIFS Artificial Intelligence Foundation Software" and "DataPilot ", together with DataCanvas.

The AI technology in the era of big models still needs to achieve a "last mile" leap. Fang Lei, Chairman of DataCanvas pointed out that there is a huge space for unified optimization of software, models, and hardware, which is the most active place for innovation. He stated that powerful and flexible foundation software, open and flexible white box models, and professional talents proficient in business will accelerate the achievement of the last mile of crossing. The launch of the AIFS (AI Foundation Software) and DataPilot product system at this launch event is a new technological achievement aimed at achieving this goal.

Dr. Fang Lei, Chairman of DataCanvas

It is understood that AIFS is the latest upgrade to the DataCanvas product family. As a leading artificial intelligence application construction foundation software platform in the industry, AIFS covers the entire lifecycle process of training, fine-tuning, compression, deployment, inference, and monitoring of large models, as well as small models. It provides a set of tools for data scientists, application developers, and business experts, allowing personnel from different roles to collaborate and easily process data and use it for development, train and deploy models of any size.

DataPilot is a new generation data architecture tool product developed by DataCanvas based on large models. According to Zhou Xiaoling, Vice President of DataCanvas, DataPilot's features include a multi-modal "vector ocean" data architecture, on-demand automation of data integration, code generation, process orchestration, and analytical calculations, as well as natural language based data acquisition, analysis, and machine learning modeling capabilities.

It is reported that DataPilot can significantly reduce the technical barriers for the entire process of data integration, governance, modeling, computing, querying, analysis, and machine learning modeling, reduce the cost of data-driven business development, and accelerate the process of digital innovation.

The technological breakthrough of large models has opened up a corner of the new AI universe for human technological vision, allowing humans to immediately imagine a kaleidoscope like future. When faith becomes a force, it will promote immeasurable leaps in development. At the press conference, DataCanvas Chairman Dr. Fang Lei elaborated on his unique big model worldview from the perspective of AI technology enterprises.

The excellent abilities of large models in language comprehension, generation, logical reasoning, and other aspects have created a very broad space for innovation and market potential. According to the "China Artificial Intelligence Large Model Map Research Report" released by institutions such as the China Institute of Science and Technology Information, as of may this year, the number of publicly disclosed large models in China has reached 79.

Domestic large-scale model applications have emerged one after another, making enterprises appear to face many choices. But in Fang Lei's view, some top enterprises with complex requirements do not simply need to provide end-to-end solutions to solve their business needs, but rather need to choose a technology platform that can help them easily solve complex problems. "Our core competitiveness and positioning of foundation software are to enable customers to independently modeling, which is actually very scarce in the market."

"The era of large models requires a complete infrastructure upgrade, rather than relying on a single large model to solve all problems; the implementation of large models will solve more difficult problems and cause deeper impacts, and it is not easier than small models." Said Fang Lei.

Compared to the traditional small model generation mode, the AI large model has changed the development mode of the modeling, allowing AI technology to apply to some long tail scenarios more widely.

At present, DataCanvas has implemented AI in more than ten industries, including government, finance, telecommunications, and manufacturing. Together with leading enterprises such as China Mobile, China Electronics, China Electronics Technology, and China National Offshore Oil Corporation, who have successfully developed digital upgrades for multiple AI scenarios.

Fang Lei also stated that based on the "AI Cloud in the Clouds" strategy, the company will embed its independently innovative artificial intelligence foundation software into the thousands of clouds, including industry cloud, regional cloud, enterprise cloud, and alliance cloud, accelerating the integration of AI infrastructure and "data intelligence" capabilities into the cloud network.

Regarding the AI industry, Fang Lei proposed that in the development process of China's unique AI industry, central enterprise cloud, computing power construction, and large models constitute the "three carriages" of industry development. With the mutual causality, promotion, and superposition of the three parties, China's AI industry will usher in tremendous development.

In addition, Fang Lei pointed out that a complete infrastructure includes three major elements: computing power, data, and foundation software. Whether the large model can achieve cross era development depends on the frequency of progress of the three elements together. "Next, we will collaborate with relevant computing companies to integrate it into cloud services, providing clients with more efficient and lower cost services." Fang Lei revealed.

Fang Lei stated that as an AI foundation software vendor, DataCanvas will continue to maintain its industry-leading advantage, continuously improve its innovation capabilities, and provide clients with higher quality technical services.

In the future, DataCanvas will rely on its rich experience in upgrading its product system and market applications, maintain its original intention of "creating intelligence and exploring the unknown", adhere to the top-level planning of "AI Cloud in the Clouds" strategy, collaborate with cloud vendors, intelligent computing centers and other partners, provide one-stop services, and complete the magnificent transformation from AIFS (AI Foundation Software) products to AIFS (AI Foundation Service).