Core Insights - Fortune's Asia team has introduced its first-ever "Most Influential Women" ranking, showcasing twelve women from various sectors including pop culture, policymaking, and professional sports, highlighting the diverse expressions of power in the Asia-Pacific region [1] Group 1: Pop Culture - Blackpink, a leading K-pop girl group, has achieved significant milestones, including being the first to sell over one million and two million album copies in South Korea, and topping the Billboard 200 album chart, contributing to South Korea's cultural influence globally [2] - Individual members of Blackpink have launched their own agencies, marking a shift in the K-Pop industry traditionally dominated by large agencies, and are expanding into new media such as television and fashion [3] - Michelle Yeoh, after winning the Academy Award for Best Actress in 2023, has become a prominent advocate for representation in the film industry, leveraging her platform to promote gender equality and environmental sustainability [6] - Xin Zhilei has gained international recognition, winning the Best Actress award at the Venice Film Festival, and is influencing style conversations while advocating for better scripts and female representation in film [7] Group 2: Sports - Alexandra Eala has made significant strides in tennis, reaching her first WTA Tour final at 20 and winning a junior Grand Slam singles crown, thereby enhancing the sport's profile in Southeast Asia [8] - Eileen Gu made history by winning three Olympic medals in freestyle skiing at 18, and is actively promoting mental health and environmental sustainability while also being a sought-after model and brand ambassador [9] - Naomi Osaka, representing Japan in international competitions, has used her platform to advocate for social causes and mental health, while also launching her own talent agency to support women's sports [10][12] - Zheng Qinwen has emerged as a key figure in Chinese women's tennis, winning the Olympic gold in 2024 and reaching the Australian Open final, while also being a marketable athlete with partnerships with brands like Dior and Rolex [13] Group 3: Policymaking - Josephine Teo, appointed as Singapore's minister for digital development and information, is leading initiatives like Smart Nation 2.0, which allocates 1 billion Singapore dollars ($780 million) towards AI for public good, and has introduced new standards for generative AI [4] - Yuriko Koike, as governor of Tokyo, has implemented reforms for efficiency and gender diversity, managing the COVID pandemic and the 2020 Olympics, while advocating for more women in leadership roles [5]

Core Insights - Poppulo has successfully obtained the ISO 42001 certification, making it the only company in its industry to achieve this international standard for Artificial Intelligence Management Systems (AIMS) [1][2] - The certification reinforces Poppulo's commitment to responsible, trustworthy, and transparent AI development and deployment, ensuring clients can scale AI solutions with confidence [1][3] Company Overview - Poppulo is a global leader in employee communications and digital signage, serving over 10,000 organizations, including more than 40 Fortune 100 companies, and reaching an audience of over 50 million people [4] - The company’s digital signage network has expanded to over 600,000 devices worldwide, combining data-driven communication strategies with scalable signage technology to enhance employee engagement and optimize customer experience [4] Product Innovations - Poppulo is launching a new suite of agent-based AI tools designed to revolutionize how companies create and deliver information through employee channels and digital signage networks [2] - New features include AI-driven email translation services and a personal AI assistant to help users access performance metrics and best practices instantly, enabling faster data-driven decision-making [3]

Cybersecurity Industry Insights - Cyberattacks are a primary concern for CFOs, with cybersecurity professionals experiencing increased stress due to the complexity of threats and ongoing risks [1][2] - A survey by ISACA revealed that two-thirds of cybersecurity experts find their roles more stressful than five years ago, with 63% citing the complexity of the threat landscape as the main stressor [2][3] - 43% of respondents believe an attack on their organization is likely within the next year, while only 41% are confident in their teams' incident-response capabilities [3][4] Types of Cyberattacks - The most common type of attack reported is social engineering (44%), followed by exploited vulnerabilities (37%) and malware (36%) [4] - Approximately one-third of cybersecurity professionals reported an increase in incidents this year [4] Staffing and Training Challenges - The cybersecurity sector faces persistent understaffing, with 55% of teams short-staffed and 65% having unfilled roles [7] - There is a decline in organizations training non-security staff for cybersecurity positions [7] AI in Cybersecurity - AI is increasingly utilized in cybersecurity, with 47% of respondents involved in developing AI governance practices, up from 35% last year [10] - The primary applications of AI in security operations include threat detection, endpoint security, and automating routine tasks [10] - Experts emphasize the need for human oversight in AI to avoid bias and errors in decision-making [9] CFOs and Working Capital Management - CFOs are leveraging working capital to unlock trapped cash and pursue market opportunities, even amid economic uncertainty [13][14] - The approach of using working capital strategically leads to higher operational efficiency and resilience during volatility [17] - Organizations led by strategic planners outperform their peers in operational efficiency and supplier integration [17]

Core Insights - Vectice has announced a partnership with ServiceNow to enhance the delivery of audit-ready AI solutions, particularly for the banking sector [1] Company Summary - Vectice is positioned as a RegulatoryMLOps platform, indicating a focus on regulatory compliance and operational efficiency in machine learning [1] - The partnership with ServiceNow aims to transform business operations, suggesting a strategic move to leverage ServiceNow's capabilities in workflow automation and service management [1] Industry Summary - The collaboration targets the banking industry, highlighting a growing need for AI solutions that meet regulatory standards and can withstand audits [1] - The emphasis on audit-ready AI reflects broader trends in the financial services sector, where compliance and risk management are increasingly critical [1]

Risks & Liabilities - Organizations face legal repercussions under existing laws (privacy, human rights, consumer protection, employment, copyright) when AI is improperly controlled [8][9] - Over-reliance on AI without sufficient human judgment can lead to unforeseen consequences and liabilities [4] - Data breaches and intellectual property exposure can occur when confidential information is fed into AI systems [6] - Organizations are responsible for the outcomes and promises made by AI tools, even if provided by third parties [5][13] Critical Controls - Data quality is paramount; bad data leads to legal liability, highlighting the importance of data provenance, copyright, privacy, and relevance [10][11][12] - Establishing clear AI governance policies, including inventory of AI use, vendor management protocols, and contractual protections, is crucial [12][13][14] - Continuous oversight and review of AI outputs are necessary to ensure transparency, accountability, and risk management [15] - Education and training are essential to ensure proper use of AI, understanding its limitations, and maintaining human oversight [17][18][19] Key Takeaways - AI systems are powerful but literal, unpredictable, and require careful framing of instructions [3][4] - Organizations must actively manage AI and understand its limits to avoid becoming servants to the technology [20] - A culture of mindfulness is needed to balance reliance on AI with human expertise [19]

Group 1: Computer Vision Market - The computer vision application market in China is projected to reach 12.34 billion RMB in 2024, reflecting a growth rate of 21.2% compared to 2023 [1] - The top five companies in the market include SenseTime, Hikvision, Innovusion, Dahua Technology, and China Telecom AI [1] - The highest year-on-year growth is expected from China Telecom AI, followed by Hikvision, with applications spanning smart security, urban emergency response, and OCR [1] Group 2: Voice and Semantic AI Market - The voice and semantic AI market in China is expected to reach 14.93 billion RMB in 2024, showing a growth of 30.4% from 2023 [3] - Key players in this market include iFlytek, Baidu Smart Cloud, Alibaba Cloud, and Tencent Cloud [3] Group 3: Machine Learning Platform Market - The machine learning platform market in China is anticipated to grow to 3.45 billion RMB in 2024, marking a 22.7% increase from 2023 [5] - The leading companies in this sector are Fourth Paradigm, Huawei Cloud, Innovusion, JiuZhang Cloud, and StarRing Technology [5] Group 4: Recommendations for Technology Providers - Companies are advised to build core competitive advantages in the era of AI, focusing on developing software based on AI agents across various business domains [7] - Emphasis on AI governance is crucial due to the increasing role of AI systems in high-risk decisions, necessitating transparency and accountability [7] - There is a shift towards AI-driven business value, with companies prioritizing measurable ROI and faster time-to-market for AI projects [7] - The AI software market is transitioning from small models to generative AI applications based on large models, which could significantly alter the technology market ecosystem [7]

Core Points - Darktrace has achieved ISO/IEC 42001 certification, becoming one of the first cybersecurity companies globally to do so, which establishes a structured framework for AI governance and responsible deployment [1][2][6] - The certification enhances Darktrace's existing responsible AI approach, focusing on principles such as privacy, interpretability, security, robustness, accuracy, and 'do no harm' [2][5] - Darktrace's certification process involved an 11-month partnership with BSI, which included developing a comprehensive AI Management System and rigorous auditing [3][4] Company Overview - Darktrace is a global leader in AI for cybersecurity, founded in 2013, and protects organizations from unknown threats using proprietary AI that learns in real-time [8] - The company has over 2,400 employees and serves nearly 10,000 customers across various industries, showcasing its significant market presence [8] - Darktrace's platform includes the Darktrace ActiveAI Security Platform™, which provides proactive cyber resilience and real-time threat detection and response [8] Certification Details - ISO/IEC 42001 was developed by leading AI specialists and ensures alignment with best practices, allowing organizations to fulfill regulatory and ethical obligations [6][7] - The certification encompasses a wide scope due to Darktrace's unique Self-Learning approach, which utilizes multi-layered AI systems for various cybersecurity tasks [4] - Darktrace's existing certifications include ISO/IEC 27001, ISO/IEC 27018, and Cyber Essentials, demonstrating a strong commitment to technology and data protection [5]

Core Insights - KPMG has launched KPMG AI Trust, a suite of services aimed at ensuring AI reliability, accountability, and transparency as organizations scale AI applications, leveraging the Trusted AI framework and ServiceNow's AI Control Tower [1][2][4] Group 1: AI Governance and Risk Management - The KPMG AI Trust services utilize AI to help clients enhance value and manage risks across various domains including compliance, legal, and security, ensuring AI systems are secure and ethically sound [2][6] - A KPMG survey indicates that 82% of leaders view risk management as their biggest challenge, while 73% prioritize data privacy and security when selecting a Generative AI provider [3][6] - KPMG emphasizes the need for robust governance in AI, stating that it is critical for AI to be trustworthy as it becomes integral to business strategy and value creation [4][5] Group 2: ServiceNow Collaboration - KPMG AI Trust is enabled by ServiceNow's AI technology, which allows for automated compliance processes and continuous monitoring of regulatory adherence [8][10] - The collaboration with ServiceNow aims to create a transformative AI service delivery platform, KPMG Velocity, which will support enterprises in adapting to the intelligent economy [7][10] - The solutions provided are compatible with various large language model platforms and can integrate with ServiceNow's risk management software [9] Group 3: Features of KPMG AI Trust - The KPMG AI Trust suite includes features such as risk-tiered AI solution intake evaluation, AI inventory and controls, pre-launch validations, and dynamic regulatory assessments to ensure compliance and risk management [15] - These capabilities are designed to protect employees, companies, and consumers as AI adoption accelerates [6][10]