Investment Rating - The report maintains a Buy rating for Okta, indicating confidence in the company's potential for growth stabilization and execution on its go-to-market strategy [3][17]. Core Insights - Okta's 1QFY revenue was 1% above expectations, with a cRPO (current Remaining Performance Obligations) 2% above and EBIT margin approximately 200 basis points above [1]. - The company is experiencing a sequential decline in subscription revenue growth and cRPO, which has raised concerns about future performance [1][15]. - Despite these challenges, Okta is well-positioned to benefit from the increasing adoption of AI technologies among its customers, with initiatives like Auth for GenAI expected to enhance its offerings [3][15]. Financial Performance - For FY26, revenue guidance remains unchanged at $2,859 million, with EBIT margin guidance also maintained [1][17]. - The company reported a net revenue retention (NRR) rate of 106%, slightly down from 107% in the previous quarter, and is expected to remain within the 106-108% range for the remainder of FY26 [1][15]. - cRPO bookings grew 9% year-over-year, but this represents a 23% quarter-over-quarter decline, indicating volatility in forward subscription revenue [15]. Valuation Metrics - The adjusted 12-month price target for Okta is set at $137, based on a valuation of 25 times EV/uFCF [17]. - Key financial metrics include projected revenue growth rates of 15.3% for FY25, 9.5% for FY26, and 10.5% for FY27 [9]. - The report highlights a free cash flow yield of 4.9% for FY25, decreasing to 3.4% by FY26 [9]. Market Context - Okta's market capitalization is approximately $22.9 billion, with an enterprise value of $20.5 billion [4]. - The company is positioned within the Americas Emerging Software sector, ranking 3rd in M&A activity [4].

Alphabet (NASDAQ: GOOGL ) shares are down roughly 5% in the last year and nearly 11% year-to-date. At one time earlier this year, shares of Alphabet were briefly above $200, more properly reflecting what, IThis account is managed by Noah's Arc Capital Management. Our goal is provide Wall Street level insights to main street investors. Our research focus is mainly on 20th century stocks (old economy) undergoing a 21st century transformation, but occasionally we'll write on companies that help transform 20th ...

AI Development & Application - The industry is currently using outdated software development techniques for AI features, hindering the full potential of AI, which should enable users to program software using natural language [1][18] - AI application development is often approached by trying to fit AI into existing applications, rather than redesigning tools from the ground up to automate repetitive tasks [18][62] - The industry needs to move beyond the chatbot paradigm and focus on AI's capability to automate work and accomplish tasks on behalf of users [58][60] - A key element is providing users with "tools" that agents can use to accomplish tasks, such as labeling emails, archiving them, or writing drafts [53][54] System Prompts & User Control - Current AI applications often hide the "system prompt" (instructions given to the AI) from the user, limiting customization and personalization [1][11] - The industry should allow users to view and edit system prompts, enabling them to tailor the AI's behavior to their specific needs and preferences [8][10] - Allowing users to control system prompts shifts the responsibility for the AI's output from the developer to the user [35] - While not everyone may want to write system prompts from scratch, the option should be available, and AI could assist in generating and customizing prompts based on user history and feedback [41][42][48] Future of AI Development - The industry needs to develop better tooling and UI conventions for interacting with and teaching AI, potentially including AI-assisted system prompt writers [45][46] - AI models are good at processing instructions and turning them into text output, making them particularly effective for coding agents [31][32] - Founders should rethink existing tools from the ground up with AI, focusing on offloading repetitive work from users [61][62]

Financial Data and Key Metrics Changes - In Q1 2025, Appian's cloud subscription revenue grew 15% year over year to $99.8 million, while total revenue increased 11% year over year to $166.4 million [4][30] - Adjusted EBITDA was $16.8 million, a significant improvement from an adjusted EBITDA loss of $1.3 million in the same quarter last year [34] - Non-GAAP net income was $9.8 million or $0.13 per diluted share, compared to a non-GAAP net loss of $4.9 million or $0.07 per share for Q1 2024 [34] Business Line Data and Key Metrics Changes - Cloud subscriptions revenue represented 81% of total revenue, up from 79% in the year-ago period [31] - Professional services revenue was flat at $32.1 million compared to Q1 2024, with expectations for a long-term decline as a percentage of total revenue [31][32] - The cloud subscription revenue retention rate was 112%, down from 120% a year ago [32] Market Data and Key Metrics Changes - International operations contributed 36% of total revenue, slightly down from 37% in the previous year [32] - Federal government bookings grew 59% year over year, indicating strong performance in the public sector [20][104] Company Strategy and Development Direction - The company is focusing on AI integration within its processes, emphasizing practical applications over hype [5][7] - Appian aims to monetize AI features, with revenue from AI-inclusive tiers more than doubling to $9 million in Q1 [11][62] - The introduction of a multi-tiered pricing model allows for better monetization of AI and exclusive features [10] Management's Comments on Operating Environment and Future Outlook - Management expressed cautious optimism regarding the evolving opportunities in the federal government sector despite macroeconomic uncertainties [20][38] - The company is taking a prudent approach to guidance for the remainder of 2025, with expected cloud subscriptions revenue growth between 14-16% for Q2 [38][39] - Management highlighted the importance of maintaining sales and marketing efficiency, with net new bookings per sales rep rising over 30% compared to the previous year [27][81] Other Important Information - Appian's new Chief Financial Officer, Serge Tanga, is expected to contribute significantly to the company's strategy and financial planning [29] - The company plans to report on a new metric called "weighted rule of 40," which combines growth and margin metrics [26] Q&A Session Summary Question: Was there any pull forward in government performance due to uncertainty around ordering patterns? - Management indicated that pull forwards were not a meaningful factor in Q1 and expressed cautious optimism for Q3 [42][44] Question: What drove the decline in cloud net retention rates? - Management explained that the decline was due to down sells from the previous year and leveling off of revenue growth from some customers [46][48] Question: How does Appian differentiate itself in the AI and agentic space? - Management emphasized the importance of practical applications of AI and the need for structured processes to support AI deployment [52][56] Question: What is the expected contribution from AI in 2025? - Management is optimistic about the willingness of customers to spend on AI and plans to transition away from per seat pricing [78][80] Question: How durable are the recent sales productivity gains? - Management believes the productivity gains are durable and stem from recent innovations and improved sales practices [82][84] Question: What is the impact of narrowing the channel focus on go-to-market efficiency? - Management noted that focusing on trusted partners has significantly expanded the partner-generated pipeline [88][90]

全球领先的 AI 驱动网络安全解决方案提供商 T-INNOWARE 即将参展 2025 年 5 月 6 日至 8 日在迪拜世界贸易中心举办的 GISEC 全球展会(GISEC Global 2025)。 作为中东和非洲地区规模最大、最具影响力的网络安全盛会,GISEC 汇聚了全球 750 家顶尖网 络安全企业、 160 多个国家的 25,000 多名信息安全专业人士 , 包括政府官员、首席信息安全 官(CISO)及行业领袖。 随着中东网络安全市场预计在 2030 年达到 310 亿美元规模,GISEC 已成为企业拓展中东及非 洲市场的关键窗口 ,T-INNOWARE 的参与,不仅是对其技术实力 的展示,更是对中东市场战 略布局的重要一步。 T-INNOWARE 的 AI 驱动安全解决方案 Security AI(SAI):智能安全运维的"超级指挥官" SAI 是 T-INNOWARE 基于生成式 AI(GenAI)打造的自动化安全运维平台,具备"Copilot"和"Autopilot"双模式,可 7×24 小时监控、分析并响应网络威胁。其核心 优势包括 本次展会,T-INNOWARE 将以"AI Agents ...

Core Insights - Redis and UiPath have expanded their collaboration to enhance agentic automation solutions for customers [1][4] - Redis plays a crucial role in increasing the speed and efficiency of UiPath's Automation Suite, particularly through its high-availability add-on [2][5] - The partnership aims to leverage Redis's vector database and semantic technologies to improve the capabilities of UiPath's Agent Builder [4][6] Company Contributions - Redis powers the high-availability add-on for UiPath Orchestrator, improving performance for robotic process automation applications [2] - The collaboration has resulted in over 1,000 enterprise-grade on-premises deployments of the Automation Suite, enhancing user experience [2] - Redis's memory architecture supports the development of specialized enterprise agents that can understand context and execute complex processes [5] Technological Advancements - The integration of Redis's memory layer allows AI agents to operate with the efficiency and depth needed for intelligent workflows [3] - Semantic routing will enable UiPath agents to select the best large language model based on context and use-case [4] - The partnership is focused on delivering greater speed, accuracy, reliability, and cost-efficiency in automation solutions [6]

Summary of NVIDIA Corp Conference Call Company Overview - **Company**: NVIDIA Corp - **Date**: March 20, 2025 Key Industry Insights - **Data Center Revenue Growth**: NVIDIA anticipates its data center revenue could grow more than 2x from approximately $215 billion in 2025 to around $430 billion by 2028, suggesting an EPS of about $12/share during this period [2][2][2] - **Compute Intensity**: The company argues that advancements in reasoning models are increasing compute intensity, as machines need to "think for themselves" to resolve issues, necessitating faster inference [2][2][2] - **Infrastructure Focus**: NVIDIA emphasizes its role in the infrastructure sector, asserting that it is the only reliable option for customers planning large-scale deployments [2][2][2] Financial Highlights - **Revenue Projections**: - 2025: $130.5 billion - 2026E: $232.1 billion - 2027E: $263.7 billion - 2028E: $264.6 billion - 2029E: $299.2 billion - 2030E: $273.9 billion [4][4][4] - **EPS Growth**: - 2025: $3.00 - 2026E: $5.27 - 2027E: $6.22 - 2028E: $6.35 - 2029E: $7.21 - 2030E: $6.50 [4][4][4] - **Market Capitalization**: Approximately $2,880 billion as of March 19, 2025 [5][5][5] Technological Developments - **AI Memory Market**: Samsung projects AI memory revenues to exceed $826 billion by 2030, focusing on memory solutions for AI applications [10][10][10] - **Liquid Cooling Solutions**: Supermicro highlighted the advantages of liquid cooling over air cooling, including up to 89% reduction in electricity costs for cooling infrastructure and up to 80% space savings in data centers [16][16][16] Robotics and AI Innovations - **GR00T Model**: NVIDIA's new model for humanoid robotics, designed to run on accessible hardware, is trained on diverse datasets, including human videos and synthetic data [12][12][12] - **Closing the Sim-to-Real Gap**: Advances in accelerated computing are improving the ability to replicate real-world simulations, allowing robots to learn from experience rather than just programming [12][12][12] AI Agents in Enterprise - **Workflow Transformation**: AI agents enable dynamic software workflows, enhancing efficiency and automation in enterprise settings, with potential automation levels increasing from ~20% to ~70% [14][14][14] - **Challenges**: Adoption hurdles include the need for education on AI concepts, reimagining workflows, and ensuring safety and transparency [14][14][14] Inventory and Production Insights - **Inventory Build**: NVIDIA's inventory increased by 15-20% due to AI server components, with a focus on building full racks rather than holding GPUs in inventory [17][17][17] - **Production Capacity**: Hon Hai confirmed its ability to scale production in the US, with expectations to ship 30-50k racks over the next 12 months [17][17][17] Conclusion NVIDIA Corp is positioned for significant growth in the data center and AI sectors, with robust revenue projections and advancements in technology that support its infrastructure and robotics initiatives. The company is also addressing challenges in the enterprise sector through the adoption of AI agents, while maintaining a focus on efficient production and inventory management.

Group 1 - Micron Technology, Inc. has experienced significant volatility in its stock price over the past six months, with shares currently up just over 1% [1] - The analysis is conducted by Noah's Arc Capital Management, which focuses on 20th-century stocks undergoing transformation in the 21st century [1] - The firm seeks to identify innovations in business models that could lead to dramatic changes in stock performance [1] Group 2 - The article does not provide specific financial metrics or performance data related to Micron Technology, Inc. or the broader industry [1]

Group 1 - The account is managed by Noah's Arc Capital Management, focusing on 20th-century stocks undergoing transformation in the 21st century [1] - The research aims to identify innovations in business models that could lead to significant stock changes [1] Group 2 - The managing partner of Noah's Arc Capital Management is Noah Cox, whose views may not reflect the firm's overall stance [3] - The article is intended solely for informational purposes and does not constitute investment advice [3]

Core Insights - Ad2 AI Agent integrates AI Audience and AI Creative to enhance brand targeting, ad placement, and creative strategy, reducing manual decision-making while improving efficiency and accuracy [1] - The shift from Predictive AI to Generative AI and AI Agents allows Ad2 AI Agent to automate campaign planning, audience targeting, and ad deployment, offering one-click marketing solutions [2] - Ad2 adheres to IAB's Data Clean Room standards, ensuring privacy-compliant advertising in a landscape where cookie tracking is diminishing [3] - The launch of Retail Media Network 2.0 in 2024 enables brands to utilize retail insights across various media channels, with Ad2 AI Agent integrating consumer behavior analysis into actionable insights [4] - By combining AI automation with human expertise, Ad2 AI Agent aims to redefine advertising strategies, with a launch planned for March 2025 [5] Company Overview - TNL Mediagene, a Cayman Islands-registered company, was formed from the merger of Taiwan's The News Lens Co. and Japan's Mediagene Inc. in May 2023, focusing on digital media and AI-powered advertising [6]