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上海钢联:数字智能助手新版上线 AIGC加速智能化转型

李佳晅 2024-08-21 15:58
李佳晅 2024/08/21 15:58

邦小白快读

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上海钢联推出“小钢”数字智能助手1.6版本,显著提升信息获取效率和质量。

1. 新版本基于大语言模型和AIGC技术,在内容创作、市场分析、多模态生成和智能客服等方面全面升级,用户通过对话即可轻松获取价格、数据、资讯、报告等多元内容。

2. 该助手依托上海钢联庞大的数据库,覆盖八大领域、超100个产业链,每日更新超10万条价格数据,总数据量近10TB,为大宗商品市场提供有力支撑。

3. 政策如国家数据局改革和财政部规定实施,有望激活数据生产力,促进实体经济与数字经济融合,带来实操便利。

上海钢联的“小钢”智能助手展示了产品研发和消费趋势的数字化转型。

1. 基于AIGC技术的升级优化了品牌服务,用户通过智能交互获取数据,反映消费趋势向高效便捷转变,启示品牌在定价和渠道建设中融入AI。

2. 数据资源覆盖大宗商品领域,支持风险管理,帮助品牌商在产品研发中利用实时价格信息优化决策。

3. 合作案例如与上海人工智能实验室和高校推进研究,提供用户行为观察和商业模式创新点,增强品牌竞争力。

政策改革和合作模式为卖家提供增长机会和可学习点。

1. 国家数据局推动数据要素市场化配置和财政部规定实施,提示数据生产力激活的机遇,促进实体经济融合,带来正面影响。

2. 上海钢联与多方合作如东证期货搭建数据服务平台、与万得信息开拓市场资源,展示最新商业模式和合作方式,帮助卖家应对事件和规避风险。

3. 智能助手的升级提供消费需求变化洞察,如高效获取资讯,启示卖家在增长市场中学习数字化解决方案。

数据服务和数字化启示为工厂提供商业机会和生产支持。

1. 大宗商品数据库覆盖广泛产业链,每日更新海量价格数据,帮助工厂优化产品生产和设计需求,辅助风险管理决策。

2. 智能助手基于AIGC技术提升信息效率,启示推进数字化和电商转型,如通过对话获取报告简化流程。

3. 合作项目如与高校推进价格风险监测研究,提供商业机会,促进工厂在数据驱动下提升竞争力。

行业趋势向AIGC和数字化加速,新技术解决客户痛点。

1. “小钢”智能助手应用大语言模型,在智能客服等多模态生成方面升级,提供行业解决方案,满足客户对高效数据获取的需求。

2. 数据要素市场化改革推动行业发展,新技术如AI和大数据深耕,展示行业发展趋势和客户服务模式。

3. 合作案例如与上海人工智能实验室探索新业态,提供实际应用参考,帮助服务商开发创新解决方案。

智能助手作为平台工具优化运营管理和用户服务。

1. 最新版本升级内容创作和市场分析功能,提升平台体验,如多模态生成支持用户高效交互,启示平台招商和运营管理优化。

2. 数据资源支撑价格发现,帮助平台规避风险,如每日更新超10万条数据提供实时洞察。

3. 合作如与万得信息开拓市场资源,展示平台最新做法,促进商业需求对接和风向规避。

产业新动向和政策启示为研究提供丰富视角。

1. AIGC技术在大宗商品领域的应用是产业新动向,如“小钢”助手基于垂类大语言模型,展示商业模式创新和问题解决。

2. 政策如数据要素市场化改革和法规实施,带来政策法规建议启示,促进数字经济融合研究。

3. 合作案例如与高校推进国家重点研发计划,提供产业新问题洞察,如价格风险监测,启示研究方向和商业模型。

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声明:快读内容全程由AI生成,请注意甄别信息。如您发现问题,请发送邮件至 run@ebrun.com 。

我是 品牌商 卖家 工厂 服务商 平台商 研究者 帮我再读一遍。

Quick Summary

Shanghai Steelhome's "Xiaogang" digital assistant has launched version 1.6, significantly improving the efficiency and quality of information access.

1. The new version, built on large language models and AIGC technology, offers comprehensive upgrades in content creation, market analysis, multimodal generation, and intelligent customer service. Users can easily obtain diverse content such as prices, data, news, and reports through conversational interactions.

2. Leveraging Shanghai Steelhome's extensive database, the assistant covers eight major sectors and over 100 industrial chains, with daily updates of more than 100,000 price data points and a total data volume nearing 10TB, providing robust support for the commodities market.

3. Policy initiatives, including reforms by the National Data Administration and the implementation of Ministry of Finance regulations, are expected to activate data productivity, promote the integration of the real economy and the digital economy, and bring practical operational benefits.

Shanghai Steelhome's "Xiaogang" intelligent assistant exemplifies the digital transformation in product development and consumer trends.

1. Upgrades powered by AIGC technology enhance brand services, enabling users to access data through smart interactions. This reflects a shift toward efficiency and convenience in consumer trends, suggesting brands should integrate AI into pricing and channel strategies.

2. The data resources span the commodities sector, supporting risk management and helping brands leverage real-time price information to optimize decision-making in product development.

3. Collaborative cases, such as partnerships with the Shanghai AI Laboratory and academic institutions, offer insights into user behavior and business model innovation, strengthening brand competitiveness.

Policy reforms and collaborative models present growth opportunities and learning points for sellers.

1. Initiatives by the National Data Administration to marketize data resources and the enforcement of Ministry of Finance regulations highlight opportunities to activate data productivity, fostering integration between the real and digital economies with positive impacts.

2. Shanghai Steelhome's collaborations, such as building data service platforms with Orient Futures and expanding market resources with Wind Information, demonstrate innovative business models and partnership approaches that help sellers navigate events and mitigate risks.

3. The intelligent assistant's upgrades provide insights into changing consumer demands, such as efficient information access, encouraging sellers to adopt digital solutions in growing markets.

Data services and digital insights offer commercial opportunities and production support for factories.

1. The commodities database covers extensive industrial chains, with daily updates of massive price data, helping factories optimize production, design needs, and support risk management decisions.

2. The AIGC-based intelligent assistant improves information efficiency, highlighting the value of digital and e-commerce transformation, such as simplifying processes through conversational report generation.

3. Collaborative projects, like price risk monitoring research with universities, present business opportunities, enabling factories to enhance competitiveness through data-driven approaches.

Industry trends are accelerating toward AIGC and digitization, with new technologies addressing client pain points.

1. The "Xiaogang" assistant utilizes large language models to upgrade multimodal generation and intelligent customer service, offering industry-specific solutions that meet client demands for efficient data access.

2. Market-oriented reforms for data elements drive industry growth, with technologies like AI and big data showcasing evolving trends and client service models.

3. Collaborative cases, such as explorations with the Shanghai AI Laboratory into new business formats, provide practical references for service providers to develop innovative solutions.

The intelligent assistant serves as a platform tool to optimize operations and user services.

1. The latest version enhances content creation and market analysis capabilities, improving platform experience through multimodal generation that supports efficient user interactions, informing platform recruitment and operational management.

2. Data resources underpin price discovery, helping platforms mitigate risks with daily updates of over 100,000 data points providing real-time insights.

3. Collaborations, such as market resource expansion with Wind Information, illustrate current platform practices that facilitate business demand alignment and risk avoidance.

Industry developments and policy insights offer rich perspectives for research.

1. The application of AIGC technology in commodities, exemplified by the "Xiaogang" assistant's vertical large language model, reveals business model innovations and problem-solving approaches.

2. Policies like data element marketization reforms and regulatory implementations provide implications for policy recommendations and research on digital economy integration.

3. Collaborative cases, such as national key R&D projects with universities, yield insights into industry challenges like price risk monitoring, suggesting new research directions and business models.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

【亿邦原创】日前,上海钢联宣布,公司基于大语言模型及AIGC技术的“小钢”数字智能助手1.6版本正式上线。此次上线的“小钢”1.6版本在内容创作、市场分析、多模态生成和智能客服等方面进行了全面升级。用户只需通过与智能助手的对话,即可轻松获取价格、数据、资讯、报告、会议等多元化内容,提升了信息获取的效率和质量。

业内人士称,“小钢”数字智能助手的成功迭代,得益于上海钢联在AI领域和大数据的持续深耕。据悉,早在2023年,“钢联宗师”大宗商品行业垂直大语言模型1.0版完成研发后,上海钢联基于大宗商品行业的贸易、分析咨询和内容生成三个场景,成功开发了大宗商品行业首个垂类大语言模型的应用“小钢”数字智能助手。“小钢”数字智能助手为大宗商品市场量身打造,旨在通过智能交互的方式,为用户提供便捷、高效的数据服务。

上海钢联成立于2000年,是国内大宗商品数据服务企业。上海钢联持续从多渠道采集与融合产业链数据,构建了覆盖黑色金属、有色金属、建筑材料等八大领域、超100个产业链的庞大数据库,每日更新超10万条价格数据,总数据量近10TB,这些数据资源为大宗商品市场的价格发现与风险管理提供了有力支撑。

随着国家数据局推动数据要素市场化配置改革的深入以及财政部《企业数据资源相关会计处理暂行规定》的正式实施,上海钢联有望进一步激活数据生产力,促进实体经济与数字经济深度融合。业内普遍认为,拥有大量优质数据资源和强大技术实力的上海钢联,将充分把握这一机遇,实现更加广阔的发展空间和价值提升。

上海钢联与机构、高校、企业多方合作,持续探索大数据和AI技术在大宗商品领域的应用。此前,上海钢联与上海人工智能实验室达成战略合作,共同探索大宗商品流通领域的新模式、新业态;与多所高校共同推进国家重点研发计划,致力于大宗商品价格风险智能化监测关键技术的研究和应用;与东证期货开展深入合作,共同搭建数据服务平台,为用户提供更加全面的服务。日前,上海钢联还与万得信息在数据产品、市场资源开拓等相关领域展开深入合作,面向金融机构提供深度覆盖的数据产品。


文章来源:亿邦动力

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