Core Insights - The article discusses the launch of the SuperAgent intelligent marketing platform by iFlytek, highlighting the evolution of AI in marketing from a Copilot model to an Agent model, which enhances marketing efficiency and effectiveness [1][2] Group 1: SuperAgent Platform - iFlytek's SuperAgent framework aims to address complex marketing challenges that current Agents cannot solve, emphasizing the need for intelligent planning, multi-party collaboration, and closed-loop iteration capabilities [1] - The SuperAgent platform is built on iFlytek's deep reasoning capabilities and extensive marketing data, creating a measurable and advanced productivity system [2] Group 2: Industry Impact - The AI technology wave presents three core opportunities for the marketing industry: efficiency revolution, deeper insights, and model innovation, transitioning the industry from labor-intensive operations to value delivery models [2] - iFlytek's AIMarX has established partnerships with over 1,800 clients across more than 100 countries, indicating its global reach and influence in the marketing sector [2] Group 3: Future Outlook - The future of marketing relationships is expected to shift from B2C to a B2A2C model, where marketing evolves into A2A interactions between intelligent agents, fostering closer connections between brands and consumers [2]

Core Insights - The core message of the news is the launch of the "SuperAgent" marketing intelligence platform by iFLYTEK, marking a shift in AI marketing from single-function assistance to complex "collective intelligence" collaboration [1][3]. Group 1: SuperAgent Concept - The "SuperAgent" concept was introduced to address the limitations of traditional AI agents, which are likened to "soldiers" executing single tasks, whereas SuperAgents act as "commanders" with strategic capabilities [5]. - SuperAgent possesses five-dimensional evolutionary capabilities: ecological power, coverage power, creativity, vitality, and decision-making power, enabling intelligent planning for multi-objective and long-chain demands [6]. Group 2: Marketing Automation - The AIMarX platform has achieved an "autonomous driving" mode for advertising, allowing brands to set total budgets and goals while the AI autonomously handles strategy formulation, cross-media placement, bidding, and dynamic adjustments [8]. - This automation addresses human efficiency issues and helps brands rebuild asset sovereignty through a comprehensive attribution system [8]. Group 3: Global Expansion Strategy - iFLYTEK has launched two core platforms to tackle the challenges faced by brands going global, including a global media placement platform, iFLYSai, which enables real-time decision-making for cross-platform strategies [9]. - The iFLYTalent platform addresses the "non-standard" challenges in influencer marketing by aggregating over 10,000 influencers globally, facilitating precise matching and fulfillment [9]. Group 4: Strategic Alliances - iFLYTEK has established the "iFLYTEK GEO Strategic Cooperation Alliance" with industry partners such as CCTV Market Research and Dentsu China, expanding its reach to over 100 countries and serving more than 1,800 clients [10].

Core Viewpoint - The launch of the "Procurement Intelligent Agent Platform" by iFLYTEK integrates large model decision-making and RPA execution capabilities, allowing companies to optimize procurement processes and reduce operational costs significantly [1][5]. Group 1: Platform Features and Capabilities - The platform can compress the average time for preparing bidding documents from 5-7 working days to just 30 minutes, with a bid detection accuracy rate of 96% and an overall evaluation efficiency improvement of over 70% [3][7]. - iFLYTEK's self-developed "Xingchen Agent" technology allows enterprises to assemble AI capability components with low-code or no-code methods, enabling quick customization of intelligent agents tailored to their business processes [3][7]. - The platform supports various scenarios such as "intelligent document editing," "anomaly behavior detection," and "assisted evaluation," enhancing the procurement process's efficiency and compliance [3][4]. Group 2: Impact on Procurement Efficiency - The intelligent evaluation system, co-built with the State Energy Group, has successfully operated over 180,000 procurement projects with an evaluation accuracy exceeding 97%, transforming the evaluation process from "1-2 projects per day" to "10 minutes for intelligent evaluation results" [3][7]. - In scenarios with over 1,000 pages of bidding documents and more than 100 bidders, traditional manual evaluations showed a scoring deviation rate of about 32%, while the platform achieved a 97% accuracy rate in objective evaluations and a 90% consistency rate in subjective evaluations [9]. Group 3: Industry Transformation - The platform represents a significant shift in the business model from project-based delivery to a scalable infrastructure that lowers application barriers and trial costs for enterprises, facilitating the widespread adoption of intelligent procurement technologies [4][8]. - The platform's multi-model collaborative mechanism for detecting bidding anomalies, including text and image similarity analysis, achieves a comprehensive recall rate of 96%, providing traceable and auditable compliance assurance for the procurement process [4][8].

Core Insights - The article discusses the emergence of AI in the bidding and procurement sector, highlighting the launch of iFlytek's intelligent procurement platform aimed at addressing traditional industry pain points and enhancing efficiency [1][2]. Group 1: Company Developments - iFlytek has introduced the "Intelligent Procurement Platform" to facilitate the transition of government and enterprise procurement processes towards AI-driven solutions, positioning it as a "smart factory" for the procurement sector [1]. - The platform can reduce the time required for preparing bidding documents from an average of 5-7 working days to just 30 minutes, with an accuracy rate of 96% for detecting irregularities in bidding [1]. Group 2: Industry Trends - The traditional procurement model is characterized by high risks, low efficiency, high costs, and regulatory challenges, as highlighted by the National Energy Group's procurement statistics, which involve over 140,000 projects annually [2]. - The Chinese bidding and procurement industry is undergoing a digital transformation, with the China Tendering and Bidding Association working on an action plan to implement AI in procurement processes, aiming for 40-45% automation by 2026 in China [3].

相关产品：创业板软件ETF华夏（159256）、创业板200ETF华夏（159573）、人工智能AIETF （515070）。 （文章来源：每日经济新闻） 在AI产业链中，软件行业主要处于中游技术层和下游应用层，扮演着核心技术支撑和应用落地的关键 角色。具体来看，软件行业在中游技术层主要提供AI框架、开发平台和算法模型，这些技术是AI应用 开发的基础。在下游应用层，软件行业通过将AI技术与各行业结合，推动AI应用的落地。 国泰君安证券指出，AI正推动营销行业从"流量覆盖"向"场景融合"跃迁，其核心逻辑在于：大模型技术 已实现从"素材精准推送"到"动态生成与交互"的突破，使得品牌能够基于用户实时场景需求生成个性化 内容，实现"智慧陪伴式"营销。该机构认为，AI营销的核心竞争力已从工具效率转向生态整合能力，建 议关注具备全场景数据、多终端触达及AI内容生成技术的平台企业。 A股三大指数午后集体翻红，盘面上，存储、人形机器人板块持续拉升，软件开发板块探底回升，跌幅 收窄，创业板软件ETF华夏（159256）盘中跌2.86%，持仓股广立微异动拉升，涨幅超4%，华大九天、 长亮科技、航天智装等股涨幅居前，卫宁健康跌超1 ...

Group 1 - The A-share technology sector is experiencing mixed performance, with storage and humanoid robot sectors seeing fluctuations and gains, while AI application sectors continue to decline [1] - The largest AI ETF in the Shanghai market (515070) has narrowed its decline to 0.23%, with significant gains in holdings such as Aobo Zhongguang-UW, which surged over 6% [1] - The robot leasing platform "Qingtian Rental" announced the completion of its seed round financing, achieving over 200,000 registered users and maintaining an average of over 200 daily orders within three weeks of launch [1] Group 2 - Qingtian Rental has partnered with major brands like Meiyijia, Haidilao, and Yuyuan Group to utilize robots for store traffic and brand activities, shifting from traditional equipment sales to a callable service model [1] - Dongfang Securities indicates that the investment logic in the humanoid robot industry is shifting from "hardware mass production" to "AGI (Artificial General Intelligence) development," emphasizing the importance of AGI capabilities as a key investment focus [1] - Despite Chinese companies leading in manufacturing, the marginal impact of simple robot mass production on investment is expected to diminish, with future value lying in AGI capabilities [1] Group 3 - The AI ETF (515070) tracks the CS AI theme index (930713), selecting component stocks that provide technology, basic resources, and application end stocks, focusing on the midstream and upstream of the AI industry chain [2] - The top ten weighted stocks in the ETF include leading domestic technology companies such as Zhongji Xuchuang, Xinyi Sheng, Hanwha Technology, and Hikvision [2]

Core Insights - The introduction of the "Intelligent Procurement Platform" by iFLYTEK aims to address the inefficiencies and risks in traditional procurement processes, positioning it as a "smart factory" for procurement capabilities [1][5] - The platform significantly reduces the time for preparing bidding documents from an average of 5-7 working days to just 30 minutes, with a bid detection accuracy of 96% and an overall evaluation efficiency improvement of over 70% [1] Group 1: Industry Challenges - Traditional procurement models face issues such as high risks, low efficiency, high costs, and difficult supervision, as highlighted by the National Energy Group's procurement statistics [1] - The National Energy Group manages over 140,000 procurement projects annually, involving 1,385 purchasers and 200,000 bidding documents, leading to substantial resource consumption [1] Group 2: Technological Advancements - The National Energy Group has adopted a strategy for "intelligent and unmanned" procurement since 2022, resulting in the automation of the entire procurement process with no human intervention [2] - Over 8,200 projects have achieved unmanned procurement within five months, and the intelligent review system has been applied to over 180,000 projects with a review accuracy of over 97% [2] Group 3: Market Trends - The digital transformation in the bidding and procurement industry is crucial for high-quality development, with a focus on AI-driven automation [3] - Gartner predicts that by 2026, over 40% of global public procurement processes will be AI-driven, with China's market potentially reaching 40%-45% due to favorable policies and rapid AI technology implementation [3]

Core Insights - The integration of AI technology in schools is enhancing psychological health assessments and support for students, allowing for early detection and intervention of mental health issues [9][10][12]. Group 1: AI Psychological Assessment - Schools are adopting portable AI psychological assessment devices to evaluate students' mental health, providing metrics such as anxiety levels and emotional tendencies [10][11]. - The AI assessment device can collect over 30,000 pulse data points in just five minutes, offering a more accurate reflection of students' psychological states compared to traditional methods [11]. - Beijing Hongzhi Middle School has introduced 50 AI psychological assessment devices, enabling efficient and dynamic mental health screenings for over 1,300 students [12]. Group 2: AI Psychological Counseling - AI technology is also being utilized for psychological counseling, with systems like the AI Stress Relief Sphere providing personalized support and emotional recognition for students [12][13]. - The AI counseling programs are designed to be more approachable for students, particularly those who may be reluctant to seek help from human counselors [12][13]. - The "Zizai" psychological counseling model has been implemented in schools, offering empathetic chat and expert-level guidance, which has shown significant engagement from students and parents [13][14]. Group 3: Community and Public Services - Community centers are incorporating AI psychological systems to provide mental health support for youth, creating safe spaces for emotional expression and assessment [15][16]. - The AI mental health monitoring system in Guangzhou includes 14 modules to assess various psychological aspects, aiming to create comprehensive mental health profiles for adolescents [16][17]. - The "Yuexin" Growth Center in Wuxi is leveraging AI and big data to build a dynamic database for 46,000 students, facilitating collaborative mental health education across schools and communities [17].

投资者提问： 1.公司的模型现在还是基于全国产'底座训练吧？ 2.讯飞星火有拓展文生视频的能力的规划么？ 免责声明：本信息由新浪财经从公开信息中摘录，不构成任何投资建议；新浪财经不保证数据的准确 性，内容仅供参考。 董秘回答(科大讯飞SZ002230)： 您好，公司自开展讯飞星火大模型攻关以来，始终以对标国际最先进大模型为目标，坚持走自主可控发 展路线，在算力较为紧张的情况下保持了全栈自主可控的星火底座大模型持续对标全球第一阵营，并且 在教育、医疗、消费者等重点赛道不断取得商业化落地成果。未来，公司将围绕算法、数据及应用场景 需求等持续提升星火大模型的多模态能力，并根据研发进度及产品规划，适时推动技术与应用的融合落 地。感谢您的关注。查看更多董秘问答>> ...

Group 1 - The core viewpoint of the article is the official launch of iFlytek's AI Marketing (AIMarX) platform, which is built on the SuperAgent framework to address complex marketing scenarios that require intelligent planning and multi-party collaboration [1] Group 2 - The platform aims to enhance marketing efficiency by leveraging advanced AI capabilities [1] - The launch event took place in Shenzhen on January 15 [1] - The focus of the platform is on solving challenges in marketing that involve intricate planning and coordination among various stakeholders [1]