PRESS RELEASE                                         Share Buyback Transaction Details October 23 - October 29, 2025Alphen aan den Rijn - October 30, 2025 - Wolters Kluwer (Euronext: WKL), a global leader in professional information solutions, software and services, today reports that it has repurchased 392,600 of its own ordinary shares in the period from October 23, 2025, up to and including October 29, 2025, for €43.8 million and at an average share price of €111.53. These repurchases are part of the sh ...

Core Insights - The article discusses a year-long research project involving 100 elderly individuals learning to use large AI models, aiming to explore how AI technology impacts their lives and how they redefine their understanding of algorithms through their experiences [2][6][50]. Group 1: Research Design and Methodology - The research employed a comprehensive "teach-use-track-interview" process over one year, inviting 100 elderly participants to interact with various popular domestic AI models [6][10]. - The study included baseline surveys, focused teaching sessions, regular follow-ups, and in-depth interviews to document the participants' experiences and challenges [10][11]. Group 2: Participant Demographics and Data Collection - The study collected data from diverse participants across different regions, resulting in a corpus of over 10,236 valid entries, capturing the varied experiences and needs of elderly users [12][14]. - The data included both voice and text records, highlighting significant differences in functional and emotional needs between elderly individuals from eastern, central, and western regions of China [14]. Group 3: Initial Hesitations and Trust Calibration - Many elderly participants expressed initial confusion about the necessity of using AI technology, often viewing it as non-essential to their already fulfilling lives [16][17]. - Trust calibration emerged as a critical theme, with participants navigating their trust in AI through trial and error, leading to varying levels of acceptance and interaction [21][22]. Group 4: Interaction Dynamics and Gender Differences - The study revealed a "question gap," where elderly individuals hesitated to ask questions due to cultural norms and self-imposed limitations, impacting their engagement with AI [25][28]. - Gender roles within families influenced the time and resources available for elderly women to explore AI technology, leading to disparities in usage and confidence [31][33]. Group 5: Emotional Needs and Long-term Engagement - The relationship between elderly users and AI models evolved from initial curiosity to emotional reliance, with many participants finding companionship and support in their interactions [36][39]. - Long-term users demonstrated resilience and adaptability, often viewing AI as a reliable companion that complemented their social interactions rather than replacing them [39][40]. Group 6: Ideal AI Characteristics for Elderly Users - Elderly participants expressed a desire for AI that is empathetic, relatable, and capable of understanding their daily lives, rather than merely a simplified version of existing technology [41][44]. - The ideal AI companion should provide emotional support, health advice, and companionship, addressing the deeper social and psychological needs of elderly individuals [45][46]. Group 7: Conclusion and Societal Implications - The research highlights that technology should not only be designed for elderly users but should also foster a more inclusive understanding of "slower" lifestyles, reflecting a broader societal perspective on progress [51][52]. - The findings suggest that technology's value lies in its ability to integrate into daily life meaningfully, emphasizing the importance of empathy and understanding in technological development [52].

Core Insights - Wolters Kluwer has repurchased 392,600 ordinary shares for €43.8 million at an average price of €111.53 during the period from October 23 to October 29, 2025 [1] - The company aims to repurchase shares worth €1 billion throughout 2025 as part of its share buyback program initiated on February 26, 2025 [2] - Cumulatively, 7,248,991 shares have been repurchased in 2025, totaling €977.7 million at an average price of €134.87 [2] Share Buyback Program - The share buyback program allows for the repurchase of shares to be held as treasury shares, which will be used for capital reduction through share cancellation [3] - A third party has been engaged to execute €363 million of buybacks from July 31, 2025, to November 3, 2025, in compliance with relevant laws and regulations [2] Company Overview - Wolters Kluwer is a global leader in professional information solutions, software, and services, serving customers in over 180 countries with approximately 21,900 employees [5] - The company reported annual revenues of €5.9 billion for 2024 and is headquartered in Alphen aan den Rijn, the Netherlands [5] - Shares of Wolters Kluwer are listed on Euronext Amsterdam and included in major indices such as AEX and Euro Stoxx 50 [6]

Core Viewpoint - Aurora Mobile Limited is set to release its unaudited financial results for Q3 2025 on November 13, 2025, before U.S. market opening [1] Group 1: Financial Results Announcement - The unaudited financial results for the third quarter ended September 30, 2025, will be announced before the U.S. markets open on November 13, 2025 [1] - An earnings conference call will be held on the same day at 7:30 a.m. U.S. Eastern Time [2] - Participants must register in advance to join the conference call, with access information provided upon registration [2][3] Group 2: Company Overview - Aurora Mobile, founded in 2011, is a leading provider of customer engagement and marketing technology services in China [4] - The company has established itself as a prominent mobile messaging service provider, focusing on stable and efficient messaging services for enterprises [4] - Aurora Mobile offers innovative solutions such as Cloud Messaging and Cloud Marketing, aimed at enhancing omnichannel customer reach and interaction, alongside AI and big data-driven marketing technology solutions for digital transformation [4]

Core Insights - The company reported a revenue of RMB 723 million for the nine months ending September 30, 2025, representing a 7% increase year-on-year, with cloud subscription revenue reaching RMB 526 million, up 9% year-on-year, accounting for 73% of total revenue [1] - The net profit attributable to shareholders was RMB 42.55 million, a significant improvement from a net loss of RMB 28.95 million in the same period last year, driven by a successful transformation to a cloud subscription business model [1] - Total assets increased by 8% to RMB 1.823 billion compared to RMB 1.695 billion at the end of the previous year [1] Business Strategy - The company continues to focus on the digital finance and business sectors for small and micro enterprises, adhering to a customer success principle and accelerating product innovation [2] - The implementation of an "AI First" strategy is aimed at enhancing product competitiveness and operational efficiency, with a shift towards an ecosystem-based platform service [2] - The company is advancing AI applications in its products, particularly in the areas of intelligent employees and intelligent analysis, to support compliance and operational efficiency for small and micro enterprises [2] Marketing and Sales Performance - The company is enhancing its distribution channels and upgrading its operational models to improve the capabilities of value-added distributors [3] - A focus on core service scenarios and a combination of online and offline marketing strategies has been employed to promote digital transformation case studies for small and micro enterprises [3] - New cloud subscription orders increased by 11% year-on-year, with a 31% increase in the most recent quarter, and the number of paid enterprise users in the cloud service business grew by 21% year-on-year, reaching a total of 906,000 [3]

Core Insights - Automatic Data Processing, Inc. (ADP) is recognized as one of the 13 most undervalued dividend stocks according to Wall Street analysts [1] - ADP has acquired Pequity, a compensation management software firm, to enhance its capabilities in compensation management [3] Group 1: Acquisition Details - On October 29, ADP announced the acquisition of Pequity, which was established in 2019, aimed at improving tools for complex compensation planning for mid-sized, enterprise, and multinational clients [3] - Sreeni Kutam, president of Global Product and Innovation at ADP, emphasized the need for flexible compensation solutions due to changing pay transparency laws and the dynamic talent market [3] Group 2: Financial Performance - ADP has a strong track record of consistent dividend growth, having increased its payouts for 50 consecutive years [3] - The company currently offers a quarterly dividend of $1.54 per share, resulting in a dividend yield of 2.36% as of October 29 [3]

Financial Performance - Revenue reached $77.7 billion, an increase of 18% (17% in constant currency) [4] - Operating income grew to $38.0 billion, up 24% (22% in constant currency) [4] - Net income was $27.7 billion, a rise of 12% (11% in constant currency), or $30.8 billion non-GAAP, up 22% (21% in constant currency) [4] - Diluted earnings per share were $3.72, up 13% (11% in constant currency), or $4.13 non-GAAP, up 23% (21% in constant currency) [4] - The company returned $10.7 billion to shareholders through $6.8 billion in dividends and $4.0 billion in share repurchases [6] Segment Performance - Productivity and Business Processes revenue was $33.0 billion, up 17% (14% in constant currency) [4] - Intelligent Cloud revenue reached $30.9 billion, growing 28% (27% in constant currency) [4] - More Personal Computing revenue was $13.8 billion, an increase of 4% (4% in constant currency) [4] Microsoft Cloud - Microsoft Cloud revenue was $49.1 billion, up 26% (25% in constant currency) [12] - Commercial bookings increased 112% (111% in constant currency) [13] - Commercial remaining performance obligation reached $392 billion, up 51% year-over-year [13] Capital Expenditures and Cash Flow - Capital expenditures were $34.9 billion, up 74%, including $11.1 billion in finance leases [9, 11] - Cash paid for property and equipment was $19.4 billion, up 30% [9, 11] - Cash flow from operations was $45.1 billion, up 32% [11] - Free cash flow was $25.7 billion, up 33% [11]

Core Insights - Despite beating expectations on earnings per share (EPS) and revenue, shares are experiencing a decline of approximately 4.5% [1][2] - EPS was reported at $4.13, exceeding the expected $3.67, while revenue reached $77.67 billion, surpassing the anticipated $75.33 billion [1] - Azure cloud growth showed a year-over-year increase of 40%, outperforming the expected growth of 38.2% [2] Financial Performance - Intelligent cloud revenue was slightly below expectations at $30.9 billion compared to the forecast of $30.25 billion, marking the only miss in the reported metrics [3] - The upcoming earnings call is expected to provide additional data on capital expenditures (capex) and guidance, which could influence stock performance [4]

Core Insights - The company is experiencing higher demand for its cloud computing and AI services than it can currently meet, which is significantly boosting profits [1] Group 1 - The increased demand for cloud computing services is a key driver of the company's profitability [1] - AI services are also contributing to the heightened demand, indicating a strong market trend [1]

Core Insights - Microsoft reported significant growth in its cloud-computing business, exceeding Wall Street revenue estimates, indicating continued strong investment in artificial intelligence by businesses [1] Group 1: Financial Performance - Quarterly revenue surpassed Wall Street estimates, showcasing robust demand for cloud services [1] - The growth in the cloud-computing segment reflects a broader trend of businesses increasing their spending on technology solutions [1] Group 2: Market Trends - The strong performance in cloud services suggests that companies are prioritizing investments in artificial intelligence and related technologies [1]