DingTalk recently released new products and functions based on "low code + AI" and "multi-dimensional table + AI", aiming to lower the threshold for small and medium-sized enterprises to apply artificial intelligence technology and accelerate their business digitization process. This update focuses on the different needs of small and medium-sized enterprises and medium and large enterprises, and provides a series of convenient and efficient AI applications and industry solutions. By integrating AI capabilities, such as text and image recognition, companies can improve their efficiency in inventory, sales, and customer management, thereby assisting their digital transformation.
In order to lower the threshold for small and medium-sized enterprises to apply artificial intelligence technology and accelerate the process of business digitization, DingTalk recently released new products and functions based on "low code + AI" and "multidimensional table + AI". These products and functions are designed to help enterprises quickly implement AI applications.
Among them, DingTalk low-code platform Yidu has launched three "AI premium applications" for small and medium-sized enterprises, including "Warehouse Tong", "Task Tong" and "Customer Tong". These applications can provide "out-of-the-box" Convenient experience and high cost performance. These tools are not only flexibly customizable based on low-code, but also integrate AI capabilities such as text and image recognition to improve the efficiency of inventory, sales and customer management.
For medium and large enterprises, DingTalk has launched an "Industry Solution Center" to provide 12 major industry solutions. These solutions are based on a "pre-made dish" model, combined with low-code customization functions and AI capabilities, allowing enterprises to quickly modify according to their own needs. adaptation.
Data shows that the integration of low-code and AI on DingTalk is accelerating. The number of applications that should be used has exceeded 10 million. In just three months, more than 100,000 existing low-code applications have completed AI upgrades. These developments show that DingTalk’s comprehensive strength and AI content in the low-code field are among the leading domestically.
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DingTalk’s move not only makes it easier for enterprises to use AI technology, but also demonstrates its technical strength and market competitiveness in the fields of low-code and AI, providing strong support for enterprises’ digital transformation. We look forward to DingTalk continuing to innovate and bring convenience to more companies in the future.