Group 1: Earnings Performance - CBIZ reported quarterly earnings of $0.95 per share, exceeding the Zacks Consensus Estimate of $0.84 per share, and up from $0.50 per share a year ago, representing an earnings surprise of +13.10% [1] - Over the last four quarters, CBIZ has surpassed consensus EPS estimates four times [2] - The company posted revenues of $683.5 million for the quarter ended June 2025, missing the Zacks Consensus Estimate by 3.73%, compared to year-ago revenues of $420.01 million [2] Group 2: Stock Performance and Outlook - CBIZ shares have declined approximately 7.5% since the beginning of the year, while the S&P 500 has gained 8.3% [3] - The company's earnings outlook is crucial for investors, as it includes current consensus earnings expectations for upcoming quarters and any recent changes to these expectations [4] - The current consensus EPS estimate for the coming quarter is $0.99 on revenues of $732 million, and for the current fiscal year, it is $3.62 on revenues of $2.85 billion [7] Group 3: Industry Context - The Consulting Services industry, to which CBIZ belongs, is currently ranked in the top 20% of over 250 Zacks industries, indicating a favorable outlook [8] - Empirical research shows a strong correlation between near-term stock movements and trends in earnings estimate revisions, which can impact CBIZ's stock performance [5][6]

齐鲁晚报·齐鲁壹点记者 蔡宇丹 企查查信息显示，今年以来，已有多家"假装上班""不想上班"公司注册成立，区域包括济南、武汉等。此外，多方已申请注册"假装上班""不想上班"商标， 国际分类涉及教育娱乐、广告销售等。 缔造有远见的商业传奇 假装上班 全国企业信用查询系统 企业 人员 专利 招投标 创投 风险 全球企业 商标 新闻 为您找到 21 条相关结果 假装上班（济南）企业管理咨询服务有限公司 在业 法定代表人:朱』 注册资本:10万元 成立日期:2025-( 地址：山东省济南市槐荫区张庄路街道५ 武汉市东西湖区假装上班信息咨询中心（个体工商户 版装 个体工商户 经营者：胡 资金数额：5万元 成立日期：2025-03-14 地址： 湖北省武汉市东西湖区革新 — 假装上班（济南市）科技服务有限公司 | 在业 假装 小微企业 法定代表人：陈■ ■ 注册资本:10万元 成立日期:2025-( 地址：中国(山东)自由贸易试验区 ------ 哈尔滨市香坊区假装上班商务咨询服务工作室（个亿 假装 个体工商户 经营者： 林 地址： 黑龙江省哈尔滨市香坊区◁ ▀ ███████ 近期，杭州出现一家"假装上班无限公司"的机构 ...

毕马威中国咨询服务主管合伙人兼首席技术官及创新主管合伙人刘建刚在论坛上指出："人工智能浪潮 正席卷全球各个角落，彻底重塑全球商业格局与生活方式。对企业而言，它不仅颠覆了传统的运营模 式，打破了行业边界，更催生了全新的商业逻辑与竞争范式。可以说，人工智能已成为企业在激烈的市 场竞争中脱颖而出的关键力量。" 毕马威中国数字化赋能及人工智能主管合伙人张庆杰认为，AI(人工智能)转型绝非简单技术叠加，AI驱 动的数智转型是深层价值塑造、思维创新、情感共生等全过程变革新范式。毕马威中国通信、媒体及科 技行业主管合伙人陈俭德则表示，当前AI给企业带来的效益已体现在降本增效、加快数据驱动决策、 提升数据分析和洞察力等多方面。企业应聚焦在"赋能员工、实现工作与人工智能融合和推动企业发展 演进"三个阶段成熟度的发展，这对人工智能持续实现价值创造至关重要。 作为论坛的重要亮点之一，毕马威中国首次公开发布"智速转型平台"。据悉，该平台核心价值在于支持 多模型灵活调用与跨层级任务分解，深度融合财税、风控等专业场景经验，将复杂转型拆解为清晰步 骤，确保数据主权与风险可控的同时，助力企业实现安全高效的数字化转型。 本报讯(记者张文湘见习 ...

Core Viewpoint - Worldline is strategically divesting its Mobility & e-Transactional Services (MeTS) business line and selected Financial Services activities to Magellan Partners, aiming to refocus on its core payment services [1][2][3]. Company Overview - Worldline, a global leader in payment services, generated €4.6 billion in revenue in 2024 and is focused on enhancing its digital payment solutions [17]. - Magellan Partners, founded in 2008, specializes in consulting and technology, with an expected revenue of approximately €420 million in 2025 [9][18]. Transaction Details - The proposed enterprise value for the transaction is up to €410 million, with a binding offer of €400 million plus a contingent consideration of €10 million based on 2025 performance [4][5]. - The MeTS business line is projected to have a turnover of approximately €450 million in 2024 and includes around 3,800 employees across several countries [3][21]. Strategic Rationale - The divestment will simplify Worldline's operations, allowing for optimized resource allocation and increased focus on core payment activities [5]. - The separation is expected to enhance the growth potential of MeTS under Magellan Partners, leveraging their expertise in technology and consulting [6][10]. Market Positioning - The integration of MeTS into Magellan Partners aims to create a European leader in consulting and technology, with a combined workforce of over 6,700 employees and a turnover of €900 million in 2025 [11]. - The new entity will focus on delivering advanced digital services across various sectors, including health and public services [9][10]. Future Outlook - The transaction is expected to close by the end of the first half of 2026, subject to customary approvals and social processes [15][19]. - Both companies express confidence that the collaboration will drive innovation and growth, enhancing their service offerings in the digital transformation space [12][13].

新华财经北京7月29日电（记者闫鹏）28日，2025世界人工智能大会期间，毕马威中国举办"人工智能驱 动创新商业文明生态论坛"。论坛聚焦技术前沿、企业转型与产业重构三大维度，从破解企业"不敢转、 不会转"的实践困局出发，着力为全球AI（人工智能）深水区探索提供可复用的中国方案。毕马威中国 及人工智能领域的专家、企业领袖、学界和政界代表等齐聚一堂，探讨人工智能技术前沿发展及机遇挑 战。 论坛上，毕马威中国首次公开全球调研成果与前沿AI工具——毕马威智速转型平台（KPMG Velocity Platform），现场解读《新智启新质：生成式AI赋能产业变革的实践与路径》，并正式启动第十届中国 金融科技企业双50评选。 AI驱动商业文明新范式 解锁企业高效转型密码 作为论坛的重要亮点之一，毕马威中国在此次论坛上首次公开发布了"智速转型平台（KPMGVelocity- Platform）"。该平台覆盖企业转型全生命周期的智能引擎，结合毕马威中国的行业洞察、人工智能、数 据、ESG（环境、社会与治理）、信息安全的转型资产等资源，通过AI赋能的平台交付，整合了方法 论、资产、赋能工具和技术等。 这一平台核心价值在于支持多模 ...

Group 1 - The core viewpoint emphasizes the imbalance between value extraction and risk management in the context of generative AI, highlighting the need for companies to act quickly to harness AI's potential for sustainable business value [1] - Deloitte China suggests that effective generative AI governance requires clear responsibilities, enhanced skills, and a comprehensive risk management process throughout the AI lifecycle [1][2] - Companies are shifting from questioning whether to adopt generative AI to focusing on how to implement it effectively, with a critical need to prioritize investments in verifiable return cases [1][2] Group 2 - The AI transformation process in enterprises typically involves four stages: establishing an AI strategic vision, pilot exploration, deep integration into core business processes, and financial mapping [2] - During the pilot exploration phase, companies face challenges in quantifying value and ensuring collaboration between IT and business departments [2][3] - The final financial mapping stage connects AI investments directly to financial metrics, although companies still encounter difficulties in quantifying indirect benefits like customer satisfaction [2] Group 3 - A "light architecture" approach is recommended, which encapsulates AI capabilities as API services to reduce the burden of core system reconstruction [3] - Companies should maintain flexibility in technology selection and establish agreements with technology vendors to mitigate costs associated with potential technology shifts [3] Group 4 - The concept of "illusion" in AI outputs, which can mislead business decisions, is identified as a significant risk, necessitating the establishment of a "trustworthy AI framework" to implement multi-layered defenses [4][5] - Structural illusions, which manifest in seemingly accurate outputs that are actually based on flawed data, should be prioritized for resolution due to their high risk [5] Group 5 - The board of directors is advised to redefine the value boundaries of "human-machine" collaboration, positioning AI as an "enhancement tool" rather than a replacement [6] - In media applications, AI should initially be deployed in low-risk scenarios, with ongoing training and feedback mechanisms to improve its reliability [6] Group 6 - Effective AI governance should transition from a passive to an active approach, involving clear strategic goals, dedicated governance teams, and the use of explainable AI technologies [7] - Companies are encouraged to integrate AI into their core operations rather than treating it as an add-on, which can enhance revenue through improved customer satisfaction and compliance [8]

OpenAI发布具备自主思考能力的ChatGPT智能体；零一万物发布企业级Agent智能体"万仔"……一时之 间，AI Agent（AI智能体）正从概念加速落地，国内外科技巨头纷纷布局。 7月28日，在2025世界人工智能大会暨人工智能全球治理高级别会议（WAIC 2025）上，安永大中华区 发布AI Agent产品——安永智能问答3.0。安永大中华区人工智能与数据咨询服务联席主管合伙人陈剑光 在接受《每日经济新闻》记者（以下简称NBD）采访时表示，衡量AI Agent"好用"的关键指标，需兼顾 技术效能与业务价值。 陈剑光强调，AI Agent是否"好用"，技术上需关注准确性、响应速度等指标，业务上则需关注效率提 升、成本优化、风控增强等实际价值，需体现对业务目标的支撑度。 除此之外，不同行业的Agent 需求差异显著。 不过，各行业在人事、行政等职能部门存在共性需求，核心是提升运营效率。 谈Agent应用：存在两大核心痛点 NBD：目前企业在落地Agent应用时，最常遇到的痛点是什么？从您的实践经验来看，这些痛点背后的 核心原因是什么？ 这些痛点的背后，核心原因在于双重壁垒。一是技术整合壁垒。打通异构系统 ...

Core Viewpoint - The integration of ESG (Environmental, Social, and Governance) practices into corporate strategies is becoming increasingly important for high-quality development in Chinese listed companies, especially in the context of the "dual carbon" goals and sustainable development initiatives [1][2]. Group 1: Current ESG Practices - The ESG report disclosure rate among A-share listed companies is continuously increasing, with a notable trend of "rapid expansion and structural differentiation" [2]. - Leading companies are aligning their ESG report quality with international standards, and there is a growing integration of ESG reports with annual reports and social responsibility reports [2]. - Chinese enterprises, particularly state-owned ones, are developing unique ESG governance models that align with national policy directions [2]. Group 2: Future Changes in ESG Ecosystem - The ESG ecosystem in China is expected to undergo significant structural changes, with enhanced regulatory frameworks and mandatory disclosure requirements [3]. - Investors are increasingly prioritizing ESG information in their decision-making processes, which will compel companies to improve their ESG management capabilities [3]. - Collaboration among various stakeholders, including government, enterprises, investors, and professional service institutions, will be crucial for promoting ESG practices [3]. Group 3: Recommendations for Companies - Companies are advised to strengthen the top-level design of their ESG strategies and integrate ESG principles into their overall development strategies [4]. - There is a need for improved internal management systems for ESG data collection, analysis, and management to enhance data quality and transparency [4]. - Engaging with stakeholders and fostering a culture of ESG awareness among all employees is essential for effective ESG implementation [4]. Group 4: Role of AI in Enhancing ESG Reporting - AI technology is becoming a critical driver for improving the quality of ESG reports, evolving from a data processing tool to a comprehensive support system across governance, strategy, risk management, and target setting [5][6]. - AI enhances ESG governance by creating dynamic compliance frameworks and generating oversight checklists for boards [5]. - The technology provides data-driven decision support for ESG strategy formulation and helps in risk management through scenario simulations and real-time monitoring [5][6].

Core Insights - The forum organized by KPMG China during the 2025 World Artificial Intelligence Conference focused on leveraging AI to drive business innovation and transformation, addressing the challenges enterprises face in adopting AI technologies [1][2] - KPMG China introduced the KPMG Velocity Platform, a new AI-driven tool designed to support enterprises throughout their transformation journey, integrating various resources and methodologies [7][10] Group 1: AI as a Strategic Driver - AI is recognized as a critical driver for industrial upgrading and high-quality economic development, with countries globally accelerating their AI strategies [2] - The Chinese government has elevated AI to a national strategic level, implementing comprehensive policies to promote orderly development in the AI sector [2] Group 2: AI Transformation Framework - AI-driven transformation is characterized by deep value creation, innovative thinking, and emotional synergy, requiring a structured approach through the stages of empowerment, integration, and evolution [3] - KPMG has accumulated numerous case studies and solutions to enhance the efficiency and sustainability of enterprise transformations [3] Group 3: Industry Applications and Challenges - AI is delivering significant benefits to enterprises, including cost reduction, enhanced data-driven decision-making, and improved analytical capabilities [4] - Many enterprises still lack clear AI strategies and implementation plans, which are essential for realizing continuous value creation [4] Group 4: Financial Services and AI - The financial services sector is undergoing rapid evolution due to AI, transitioning from a supportive tool to an advisory expert role [9] - Financial institutions need to strengthen foundational models and support industry-specific applications to find strategic advantages in the AI landscape [9] Group 5: Capital Market Dynamics - The investment landscape for AI is expected to remain consistent with 2024, with increased interest in robotics and AI software applications [8] - AI and high-tech industries are contributing new momentum to the global IPO market, with many AI companies planning IPOs for further growth [8]

Core Insights - The report by KPMG highlights that China's innovation is paving a new paradigm for generative artificial intelligence (AI) [1][2] Group 1: AI Development Pillars - The development of AI is supported by three main pillars: computing power, algorithms, and data [1] - China's policies, such as "East Data West Computing," aim to centralize computing infrastructure and public cloud capabilities to serve various industries, making AI infrastructure a public service akin to tap water [1] - The open-source foundational model, represented by DeepSeek, stands out globally in terms of capability, cost-effectiveness, and computing density, lowering the barriers for enterprises to utilize large model software [1] Group 2: Data Utilization and Dynamic Capabilities - In the era of large models, it is essential not only to accumulate data but also to deeply understand and extract business value from it [2] - The promotion of data exchange, compliance, and sharing by the government will facilitate reasonable data circulation among institutions and industries, leading to significant changes in digital China [2] - China's advantages in AI extend beyond static resources like data and market size to dynamic capabilities, characterized by efficient social collaboration and execution speed, which enhances the scalability of AI technology deployment [2]