Focusing on AIGC and large models, Hejing ModelWhale was listed in the "2023 Top 500 Digital Ecosystem" Excellent Cases & Solutions

On August 4th, the 2023 Digital Ecology Conference was held in Beijing. The conference focused on AIGC and large-scale model hotspots, with the theme of "AIGC New Ecological Digital Intelligence New Era", jointly organized by BP business partners and Shengjing Network.

In order to give full play to the role of enlightenment and reference in the industrial field, the conference released the list of "Top 500 Digital Ecosystems in 2023" . Shanghai Hejin Information Technology Co., Ltd. The outstanding ability and practical experience in serving a large number of universities, research institutes, and government and enterprise customers in the digital and intelligent transformation has been successfully selected as an excellent service provider of "Excellent Digital Ecological Cases & Solutions" .

With the advent of the AIGC era, AI, as a further evolution of creativity and productivity, is increasingly involved in people's lives and work. The intelligent application scenarios of government and enterprise units have become more common, and the demand for the development of data value and the construction of AI models has also surged accordingly. However, it is not enough to have sophisticated algorithms, abundant computing power, and sufficient data to implement AI applications. As Gartner once pointed out, "For AI to become the productivity of enterprises, it must use engineering technology to solve model development, training, and forecasting. Therefore, government and enterprise units not only need to have AI core technology and profound industry Know-How, but also need to open up multi-business, multi-department, and multi-element collaborative links internally and externally .

Since its establishment in 2015, Hejing has continued to focus on "data science collaboration", occupying a key ecological niche in the data intelligence industry chain. Its data science collaboration platform ModelWhale is based on the ModelOps concept, which can help enterprises break the bottleneck of data silos and repeated wheel creation on cloud infrastructure, release the value of data, and independently realize one-stop model lifecycle management, while further improving model application and optimization . Efficiency and reduce the difficulty of iterative development and application, so that the model has lasting vitality and becomes a mobile digital asset in the enterprise.

In recent years, the digital upgrade of all walks of life is in full swing. Hejing has carried out in-depth cooperation with many universities, scientific research institutions and other enterprises and institutions in the fields of earth science, life science, finance, communication, energy, and clothing retail to help all walks of life Open up the value closed loop of data and realize AI-enabled applications. For example, Hejing assisted a national scientific research institution to build a meteorological big data mining and analysis machine learning platform , with massive meteorological data access as an important starting point, multi-role research tools as the main support, and algorithm model full life cycle management as the core Problems, through intensive platform construction, overcome large-scale research problems and provide new kinetic energy for the "weather intelligence brain".

The tide will rise, and the landing will be king. From new infrastructure to new kinetic energy, Hejing continues to upgrade data intelligent product solutions and services, build a foundation for the development and application of AI large models, promote the integration and innovation of AI technology, and contribute to the integration and application of AI large models and industrial implementation in various industries strength.

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Origin blog.csdn.net/ModelWhale/article/details/132184671