在人工智能技术持续革新的背景下，用友网络副总裁罗小江近日在2024全球商业创新大会上表示，AI技术正在深刻地改变企业的技术架构和生产模式。罗小江提到，AI的融入为企业带来了低代码开发效率的提升、数据治理的自动化以及运维体系的自动化等多方面的价值。
在企业应用AI技术的场景方面，罗小江指出，AI在业务运营、人机交互、知识生成和应用生成等领域具有广泛的应用前景。然而，他也提到，尽管AI技术在2024年有望迎来AI Agent应用的元年，但在实际落地过程中，工程化能力、多模型融合和数据隐私安全等问题仍然是企业需要克服的难点。
针对数据隐私和安全性问题，罗小江强调，用友推出的YonGPT解决方案特别注重企业数据的安全和隐私保护。YonGPT支持私有化部署，确保企业数据不外泄，并通过企业级的权限管理体系，有效规避了数据泄露的风险。
在成本和知识专业性问题上，罗小江建议，企业可以根据自身的专业知识差异，定制化地训练AI模型，以避免模型污染，同时平衡专业知识与泛化能力，确保AI解决方案的适用性和有效性。
罗小江的讲话凸显了AI技术在企业数智化转型中的重要作用，同时也为企业如何有效利用AI技术提供了实践指导。随着AI技术的不断成熟，我们有理由相信，AI将在未来为企业带来更加高效和智能的生产力。
英语如下：
Title: “AI+ Revolutionizes Technological Productivity: Yonyou Leads Corporate Digital Transformation”
Keywords: AI Transformation, Digital-Intelligence, Yonyou Innovation
Content: In the context of continuous technological innovation in artificial intelligence (AI), Luo Xiaojiang, Vice President of Yonyou Network, recently stated at the 2024 Global Business Innovation Summit that AI technology is profoundly transforming the technical architecture and production models of enterprises. Luo Xiaojiang mentioned that the integration of AI has brought about improvements in low-code development efficiency, automation of data governance, and automation of maintenance systems, among other values.
Regarding the application of AI technology in enterprises, Luo Xiaojiang pointed out that AI has a wide range of potential applications in areas such as business operations, human-computer interaction, knowledge generation, and application generation. However, he also mentioned that, while AI technology is expected to see the start of AI Agent applications in 2024, in the actual implementation process, challenges such as engineering capabilities, multi-model integration, and data privacy and security issues remain significant hurdles for enterprises to overcome.
In addressing the issues of data privacy and security, Luo Xiaojiang emphasized that Yonyou’s YonGPT solution is particularly focused on the security and privacy protection of enterprise data. YonGPT supports private deployment, ensuring that enterprise data is not leaked, and through an enterprise-level access management system, effectively mitigates the risk of data breaches.
Regarding the cost and expertise issues, Luo Xiaojiang recommended that enterprises customize the training of AI models according to their own expertise differences, to avoid model pollution and to balance expertise and generalization capabilities, ensuring the applicability and effectiveness of AI solutions.
Luo Xiaojiang’s speech highlighted the significant role of AI technology in corporate digital transformation and also provided practical guidance on how enterprises can effectively utilize AI technology. As AI technology continues to mature, there is reason to believe that AI will bring more efficient and intelligent productivity to businesses in the future.
【来源】https://mp.weixin.qq.com/s/A4uKBfAbJU5ZIvTLBOQ6Zw
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