Recently, the "China Digital Marketing Ecosystem Map 2022 Edition," jointly produced by the Digital Marketing Committee of China Advertising Association, the Tiger Roar Awards Organizing Committee, and Miaozhen Marketing Science Institute, was officially released. CloudWalk Technology was selected in the two tracks of Metaverse-Digital Human and Data Security. The release of this map aims to help brand owners and digital marketing industry practitioners sort out and build a bridge for the development of China's digital marketing industry, bringing together advantages from all sides to present a huge digital ecosystem to the industry.

In the field of the metaverse, CloudWalk Technology believes that digital cities are the most practical metaverse application in the AI field. As early as 2020, CloudWalk's human-machine collaborative open platform was officially implemented in Guangzhou. Through the CWOS, it comprehensively connects business data, hardware devices, and software applications, creating "digitalization of the physical world, knowledge finding people and accompanying execution," thereby achieving "AI thinking and acting like humans," making AI part of the metaverse infrastructure and working with the industry to create a better future for the metaverse.
CloudWalk Technology is currently focusing on building AI-driven virtual digital humans, developing core technologies and products in the direction of virtual digital humans, thereby seizing business opportunities brought by new scenarios such as virtual live streaming, virtual customer service, and animation games. Secondly, in content creation, it is cooperating with third parties, leveraging CloudWalk's capabilities in big data, NLP, and knowledge computing to refine and recreate massive amounts of speech video content, meeting customers' personalized customization needs in a low-cost and efficient manner. Finally, the company will continue to deepen its efforts in the AIGC field, building barriers centered on virtual digital human technology.
The AI Data Lake extends the traditional data lake concept by adding unified computing and unified query capabilities, providing underlying data support for the Knowledge Middle Platform. In addition to accommodating different types of data such as structured, semi-structured, and unstructured data, the AI Data Lake directly connects different types of data usage to the corresponding computing engines in the Knowledge Middle Platform, and performs unified query encapsulation through SQL language. It parallelizes original serial tasks, fully utilizes the node computing power of the distributed database, and ensures data consistency within the Knowledge Middle Platform.

As data becomes a new production factor, the value contained in data has attracted widespread attention. CloudWalk's self-developed AI Data Lake is a distributed architecture that integrates multi-source heterogeneous data for unified collection, unified storage, unified computing, and separation of storage and computing.
In October this year, CloudWalk Technology became one of the first batch of data service providers to sign contracts with the Guangzhou Data Exchange. In the future, it will improve the entry of existing data products, data services, and data capabilities into the exchange, such as data access APIs, algorithm models, and other products, data services like data visualization, data security services, and visualization algorithm tools, and enhance data security capabilities by building a privacy computing service platform.
As a leading AI company, CloudWalk Technology adheres to the mission of "defining smart life and enhancing human potential." In the future, it will actively explore the transformation and upgrading of AI in various tracks, injecting new momentum into social development.
Recently, the 2023 People's Finance Forum hosted by People's Daily Online was held in Beijing. At the meeting, the 20th People's Ingenuity Awards were announced, and CloudWalk Technology was awarded the "People's Ingenuity Award - Ingenuity Product Award".
CloudWalk Technology's CongRong Large Model achieved an average score of 65.5 in this system, ranking it among the top three globally, surpassing Google's Gemini-1.5-Pro and GPT-4v, and second only to GPT-4o (69.9) and Claude3.5-Sonnet (67.9). In the domestic market, the CongRong Large Model's score also surpassed InternVL-Chat (61.7) and GLM-4V (60.8), ranking first.
From Large Models to Agents: Forging a Replicable Industrial Path
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