Strategy - AI first 意味着从在产品中添加 AI 功能发展到通过 AI 视角重新思考如何规划、构建和交付价值 [4] - AI first 公司需要像初创公司一样的好奇心和敏捷性，同时具备企业般的纪律性，两者并行 [12] - 公司需要平衡当前客户需求和对未来 AI 投资之间的关系，避免过度关注一方而落后 [11] - 规划方式需要拥抱不确定性，学习和发现塑造前进的道路，目的地本身也会随着对可能性的了解而演变 [13] Ways of Working - 需要将发现过程视为可重复的、有意的过程，在规划周期中构建用于实验、黑客马拉松和学习的时间 [19][20] - 将流程视为产品，根据结果评估其有效性，如果流程不能提高方向的清晰度、帮助团队或加速决策，则需要迭代或完全删除 [23] - 从速度转向智能速度，意味着培养有目的地快速行动的能力，在清晰、动力和适应性中工作 [25] People - 成为 AI first 公司主要是一种文化转型，需要重新思考在 AI 时代优秀人才的定义，不仅在 AI 团队中，而且在整个公司中 [26][27] - 投资于 T 型人才，即拥有深厚专业知识，同时可以扩展宽度、快速原型设计、跨部门流畅协作并实现端到端系统的人才 [29] - 需要在整个组织内建立 AI 流利度，让每个团队都感到有能力理解 AI，并有足够的信心使用 AI 进行构建 [33][34]

Financial Data and Key Metrics Changes - Total revenue for Q1 2026 grew 5% year over year to $205.5 million, while subscription revenue increased 4% year over year to $184.1 million [6][22] - Non-GAAP operating income was $36.7 million, resulting in an 18% non-GAAP operating margin for the quarter [6][25] - Free cash flow generation reached a record $81 million for the quarter [6][26] - The subscription revenue base net dollar expansion rate was 102%, reflecting ongoing customer churn and downsell activity [22] Business Line Data and Key Metrics Changes - Professional services revenue was $21.4 million, contributing to the overall revenue growth [22] - Subscription gross margin was 78%, while professional services gross margin was 6%, leading to a total non-GAAP gross margin of 70% [24] - The number of customers generating at least $1 million in annual subscription revenue increased by 6% year over year to 146 [22][23] Market Data and Key Metrics Changes - The company noted that macroeconomic uncertainty has led to longer sales cycles and increased scrutiny of enterprise spending [9][28] - The core pipeline is reported to be at its highest level in the past 18 months, indicating a healthy market position [11][54] Company Strategy and Development Direction - The company is focused on transforming its business through an ambidextrous strategy, optimizing cost structures, and strengthening product delivery roadmaps [8][12] - Project Bearhug aims to engage the top 500 customers, representing approximately 80% of revenue, to improve customer relationships and drive ROI [14][15] - The company is committed to enhancing its AI-native platform to deliver unified customer experience management [20][21] Management's Comments on Operating Environment and Future Outlook - Management acknowledged that FY 2026 is a transitional year with expected challenges due to past execution issues and macroeconomic factors [9][10] - There is optimism about future growth as the company works to improve execution and customer engagement [20][21] - The company maintains its guidance for FY 2026, expecting subscription revenue to be in the range of $741 million to $743 million, representing 3% growth year over year [33][34] Other Important Information - The company has authorized a new $150 million stock buyback program, expected to be completed by June 30, 2026 [26] - Total remaining performance obligations (RPO) increased by 2% year over year to $943.2 million [27] Q&A Session Summary Question: What is the timeline for the go-to-market strategy to reach its full potential? - Management indicated that FY 2026 is transitional, with expectations for improved sales execution and customer engagement in the latter half of the year [40][42] Question: What differentiates Sprinklr in the CCaaS market? - The AI capabilities of the platform are key differentiators, providing a unified experience for agents and customers [44][46] Question: Is the elongation in sales cycles broad-based across customers? - Management noted that the scrutiny is widespread, affecting all customers, but emphasized that the company is seeing opportunities in its pipeline [52][54] Question: What is driving logo churn and how should it be viewed through the year? - Management attributed churn to execution challenges and emphasized the need for improved customer engagement and implementation consistency [55][56] Question: What R&D activities are being pursued to help with renewals? - The company is focusing on improving user experience and exploring acquisition opportunities to enhance its core offerings [66][68]

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The report highlights a significant gap between the potential of generative AI and its actual implementation within enterprises, with many organizations facing challenges in adoption and alignment [6][7][51] Summary by Sections Voices of AI Adopters - A survey of 1,600 knowledge workers, including 800 C-suite executives and 800 employees, was conducted to understand the state of generative AI adoption [14][15][17] Key Findings - 88% of employees and 97% of executives report benefiting from generative AI, yet 72% of C-suite executives acknowledge facing challenges in the adoption process [26][27][51] - There is a disconnect between employees and executives regarding the success of AI implementation, with only 45% of employees feeling their company has been successful compared to 75% of executives [29] Widespread AI Optimism - 90% of employees and 93% of executives express optimism about their company's approach to generative AI, driven by factors such as revenue opportunities and employee interest [37][39] Generative AI Adoption Challenges - Key challenges include internal alignment issues, employee dissatisfaction with AI tools, and a lack of effective change management processes [27][28][30][32] - 41% of Millennial and Gen Z employees report sabotaging their company's AI strategy due to concerns about job security and tool quality [30][67] Strategies to Maximize the Potential of Generative AI - The report suggests formalizing a generative AI strategy, nurturing AI champions within organizations, and selecting the right vendors to support AI initiatives [82][87][97] - Companies that invest more significantly in generative AI see a 40 percentage-point gap in success compared to those that invest less [86] Traits of Supportive Technology Partners - Executives express dissatisfaction with their current generative AI vendors, indicating a need for better support in areas such as security, user experience, and integration [106][113] The Path to AI Transformation - Successful AI transformation requires deep integration of AI into all functions, empowering employees, and choosing the right technology partners [114][116]

Group 1: Acquisition Overview - IBM has acquired Hakkoda Inc., a data consultancy provider, to enhance its data expertise and support clients' AI transformation initiatives [1] - Hakkoda's capabilities in data migration, modernization, and monetization align with IBM's strategy to create an integrated enterprise data platform [4] Group 2: Market Trends and Opportunities - The global spending on enterprise intelligence services is projected to grow at a 13% CAGR, reaching $243 billion by 2028, indicating a significant market opportunity for IBM [6] - Companies are increasingly seeking data-driven insights to support decision-making and innovation, highlighting the importance of Hakkoda's full-stack data modernization services [3] Group 3: Industry Impact - Hakkoda's expertise in financial services, public sector, and healthcare will enhance IBM's consulting capabilities and meet the rising demand for data services and AI transformation [5] - The acquisition is expected to boost IBM's commercial prospects in the growing data services market [6] Group 4: Stock Performance - IBM's stock has increased by 20.9% over the past year, contrasting with a 27.8% decline in the industry [7]