Investor Presentation Q2 FY26 Safe Harbor Statement This presentation may contain forward-looking statements for which there are risks, uncertainties, and assumptions. Forward-looking statements may include any statements regarding strategies or plans for future operations; any statements concerning new features, enhancements or upgrades to our existing applications or plans for future applications; any projections of revenues, gross margins, earnings, or other financial items; and any statements of expecta ...

Core Insights - Sidetrade has released its 2024 CSR Report, emphasizing its commitment to sustainable technology, ethical governance, and inclusive growth [1] - The company achieved a remarkable revenue growth of 26% in 2024 while simultaneously reducing its carbon footprint by 3.3%, showcasing its ambition to decouple business growth from environmental impact [2] Financial Performance - In 2024, Sidetrade reported a revenue growth of 26% [2] - The company analyzes $7.2 trillion worth of B2B payment transactions daily, indicating its significant market presence [6] Environmental Initiatives - Sidetrade launched a digital sobriety program with a virtualization rate of 95.6% and data centers powered by renewable energy [3] - The company's Power Usage Effectiveness is 1.39, which is well below the EU average, setting new benchmarks in the SaaS industry [3] Recognition and Ratings - Sidetrade earned a Platinum Medal from EthiFinance and a Silver Medal from EcoVadis, placing it among the top 15% of rated companies in Europe [4] - These accolades reflect the company's tangible carbon reductions and strong CSR governance [4] Corporate Social Responsibility (CSR) Goals - Sidetrade aligns its roadmap with 10 of the UN's Sustainable Development Goals, focusing on climate action, workplace equity, ethical governance, and digital resilience [5] - The company emphasizes excellence and ambition as key drivers of its CSR journey [5]

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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]

TELUS President and CEO, Darren Entwistle, and Chief Data & Trust Officer, Pam Snively, attended the United Nations AI for Good Global Summit as part of the AI Skills Coalition driving AI literacy globally; TELUS hosted an interactive workshop using Fuel iX demonstrating how to build ethical AI with intelligence from Indigenous Peoples GENEVA, July 17, 2025 /PRNewswire/ - TELUS, a leading global technology company, participated in the United Nations AI for Good Global Summit 2025 from July 8 - 11 in Geneva, ...

AI发展与应用 - AI可以将梦想或想法变为现实，为内容创作（如图像、视频、音乐等）提供支持，并已应用于幻灯片制作等日常工作中 [5][7][8] - 行业内对AI的应用包括医疗保健领域更快速、更精确的诊断（速度快4倍，准确率提升30%），工业领域预测性维护减少停机时间（减少高达40%），以及自动驾驶汽车等 [12] - 聊天机器人（如ChatGPT）可以作为个人助理，以较低的成本（每月低于25美元）提供全天候支持，协助项目工作 [9] - 目前ChatGPT每1.5秒收到一个请求，相当于每天约57 million个请求，反映了AI驱动决策的普及 [25] AI伦理与安全 - 行业内网络安全是首要支出领域，占比70%，其次是自动化，AI位列第三，表明在AI发展的同时，安全问题日益受到重视 [27] - 强调负责任的AI的重要性，包括伦理、安全和公平，以应对潜在的风险，如机器人或无人机被黑客攻击 [27] - 随着AI系统掌握用户数据，包括恐惧和秘密，数据安全和隐私保护成为重要议题 [26] - 呼吁重视AI时代的情感、共情，避免过度依赖机器导致失去自我 [20][11] 未来展望 - 未来一代将在数字世界中成长，更快地适应技术，因此正确引导和教育他们负责任地使用技术至关重要 [16][18][19] - 鼓励人们记录下任何想法，因为在当今技术下，任何想法都有可能成为现实 [30] - AI的未来是人与机器的协作，而非对抗，共同创造一个更美好的世界 [28][29]

Financial Data and Key Metrics Changes - The company reported a 10% increase in free cash flow to $126 million and reaffirmed a target of $200 million for fiscal 2026 [11][47] - Adjusted operating margin improved by 300 basis points, and adjusted EBITDA margin increased by 120 basis points [11][42] - Adjusted revenue for the full year rose by 3%, driven by research and academic growth, while adjusted operating income and adjusted EPS increased by 29% and 318% respectively [42][45] Business Line Data and Key Metrics Changes - Research segment revenue increased by 3% for the full year, supported by growth in recurring revenue models and Open Access programs [42][44] - Learning segment revenue declined by 5% in Q4 but rose by 2% for the year, driven by AI licensing and steady market conditions in academic [45][46] - AI licensing revenue totaled $40 million for the year, with significant contributions from new agreements [10][27] Market Data and Key Metrics Changes - Strong demand for publishing was noted across key markets, with double-digit growth in submissions from India and China, as well as growth in the UK, France, Italy, Brazil, and Canada [17][18] - The company executed landmark multi-year agreements in India and Brazil, expanding access to thousands of institutions [18][20] - The corporate market, which currently makes up about 10% of revenue, is expected to expand significantly as the company extends into corporate R&D [26][30] Company Strategy and Development Direction - The company aims to capitalize on AI opportunities and has established partnerships with major tech companies for AI model training and development [7][29] - A focus on margin expansion and cost structure optimization remains a strategic priority, with ongoing investments in technology and research publishing platforms [36][40] - The company is committed to delivering profitable revenue growth and expanding margins in an uncertain economic environment [50][51] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the company's resilience and growth despite external uncertainties, citing strong internal indicators and a diversified revenue base [32][78] - The outlook for fiscal 2026 includes low to mid-single-digit revenue growth, with expectations for continued strength in Open Access and inclusive access models [51][62] - The company is prepared to navigate potential economic disruptions while maintaining a disciplined approach to margin expansion [77][80] Other Important Information - The company returned $137 million to shareholders through dividends and share repurchases, with a current dividend yield of approximately 3.5% [48][84] - Following the divestiture of university services, the company secured $120 million in cash proceeds, which will be used to reduce debt and interest expenses [11][48] Q&A Session Summary Question: Outlook for organic growth excluding AI - Management noted that strong Open Access revenues and a favorable renewal season provide visibility for continued organic growth [61][62] Question: Contribution of AI licensing revenue - The company indicated that the $1 million in vertical-specific applications is just the beginning, with potential for high-margin, recurring revenue models [66][68] Question: Planning and budgeting in the current environment - Management emphasized a balanced approach to planning, with strong visibility into the calendar year 2025 and a focus on maintaining flexibility amid uncertainties [75][78] Question: Future cash return strategy - The company plans to adopt a mixed approach to returning cash to shareholders while still investing in business opportunities [84][85]

Core Perspective - Shutterstock is redefining its brand identity and offerings to enhance its role in the creative industry, focusing on AI-powered solutions to empower businesses and creatives [1][4][8] Company Overview - Shutterstock has over two decades of experience supporting creative successes across various industries, including entertainment, tech, finance, and healthcare [4] - The company aims to provide scalable creative and generative AI solutions to meet modern storytelling demands [1][4] New Offerings - The company has launched an Unlimited downloads subscription, allowing individual users access to unlimited downloads from a library of over 80 million high-quality images, videos, and audio content [5] - Generative AI Pro is a new offering designed for business use, enabling the creation of high-quality visuals at 4K resolution, enhancing creative variety and brand relevance [5][6] AI and Data Solutions - Shutterstock's AI offerings include a proprietary Model Recommender that selects the best-fit model for each prompt, ensuring higher quality results [6] - The company provides one of the largest rights-cleared multimodal datasets for AI model builders, evolving with content refreshes and new asset types [10] Creative Production and Distribution - Shutterstock Studios offers a streamlined, end-to-end creative production model, leveraging advanced production tools to meet the content needs of major marketers [10] - GIPHY Ads expands Shutterstock's capabilities in creative content distribution, connecting brands with customers through engaging ads [10] Strategic Developments - The rebrand coincides with a merger agreement between Shutterstock and Getty Images, aimed at creating a premier visual content company [9]

Core Insights - Workday, Inc. has achieved ISO 42001 accreditation and alignment with the NIST AI Risk Management Framework, highlighting its commitment to responsible AI development and governance [1][2][3] Group 1: Accreditations and Recognition - The ISO 42001 accreditation signifies Workday's dedication to developing AI in a responsible and transparent manner [2] - The alignment with NIST AI RMF demonstrates Workday's capability to effectively manage AI risks during AI development [2][3] Group 2: Governance and Trust - Workday voluntarily underwent rigorous evaluations to enhance customer confidence in its AI practices [3] - The company emphasizes the importance of protecting fundamental human rights, safety, security, and privacy in its AI governance program [3][4] Group 3: Leadership and Commitment - Dr. Kelly Trindel, Workday's chief responsible AI officer, stated that the dual recognition affirms the company's leadership in responsible AI [4] - Workday's strong AI governance program and internal expertise were acknowledged by independent assessors, reinforcing its position in the technology sector [5]

Group 1: AI and ESG Investment Infrastructure - AI is expected to significantly enhance ESG investment infrastructure by addressing challenges such as high compliance costs and difficulties in data acquisition and analysis[2] - AI can help regulatory bodies reduce tracking costs and improve the implementation of ESG policies through dynamic monitoring and cross-validation systems[2] - Companies can utilize AI tools like knowledge graphs to analyze policies and automate compliance reporting, thereby lowering compliance costs and encouraging ESG practices[2] Group 2: AI's Role in Investment Strategy and Marketing - Traditional ESG data faces issues like low update frequency and high processing costs; AI can streamline data collection and analysis, providing timely insights for investors[3] - Machine learning algorithms can assist in constructing and selecting factor strategies, optimizing risk-return profiles for investors[3] - Generative AI can significantly reduce marketing costs by generating marketing strategies and content, enhancing investor engagement[3] Group 3: Responsible AI and Ethical Risk Management - The integration of responsible AI principles with ESG frameworks can help identify companies with ethical risks associated with AI, aiding investors in risk management[4] - AI's dual impact on environmental, social, and governance aspects necessitates a robust ethical risk analysis framework to mitigate potential negative consequences[4] - Investors can leverage communication with companies to gather information on AI governance measures, enhancing their understanding of associated risks[4] Group 4: Risk Considerations - Potential risks include slower-than-expected economic recovery, instability of AI models, and fluctuations in market sentiment and preferences[5]