What is a bottleneck perhaps that CEOs, CIOS, executives aren't talking enough about. Yeah, I would say this thing that we call evaluations or benchmarks like it doesn't matter if the agent can crush it at programming contests or you know do math Olympiad really well and it's smarter than us in math. We wanted to do a specific job at the company.How do we know how it's doing. That's called evaluations or benchmarks. So that's what we focused on when we launched agent bricks and it's a way to do agent learni ...

AI agents are digital assistants based on a prompt. They reason through and break down problems into multi-step plans. They use the proper tools, work with other agents, and use context from memory to properly execute the job on NVIDIA accelerated systems.It starts with a simple prompt. Let's ask Perplexity to help start a food truck in Paris. First, the perplexity agent reasons through the prompt and forms a plan.Then calls other agents to help tackle each step using many tools. The market researcher reads ...

Hi, I'm Robert. I'm the co-founder and CTO at Wordware. And at Wordware, I've personally helped hundreds of teams build reliable AI agents.I'm here to share a few of the insights that we got, especially when it comes to tools. Um, really agentic MCPs, giving your tools time to think. Before I worked on uh LLMs and agents, I used to work on self-driving cars, and really, you know, building high reliable systems is in my blood.So, uh, yeah, here we go. The promise of agents are automated systems that can take ...

CHONGQING, CHINA - MAY 25: In this photo illustration, the logo of Okta, Inc. is displayed on a ... More smartphone screen, with the latest stock market chart of the company in the background, reflecting investor sentiment and recent trading activity, on May 25, 2025, in Chongqing, China. (Photo Illustration by Cheng Xin/Getty Images)Getty ImagesCybersecurity firm Okta (NASDAQ: OKTA), a frontrunner in identity and access management, has experienced a stock decrease of around 10% in the last month, even afte ...

Group 1 - Marc Benioff, CEO of Salesforce, envisions a transformative era for enterprise software driven by AI agents and unified data architecture, transitioning from Software as a Service (SaaS) to Service as Software [1][2] - The "digital workforce" revolution is expected to be more disruptive than the cloud and mobile waves of 15 years ago, fundamentally redefining application functionalities [2] - Salesforce's Agentforce and Data Cloud strategies are central to its agentic vision, positioning the company as a potential "pure software hyperscaler" [2] Group 2 - Agentforce is a new AI-driven enterprise agent platform that integrates autonomous or semi-autonomous software assistants into all Salesforce applications, aiming to enhance human productivity [3][4] - Benioff claims that embedding these agents into workflows could lead to a 50% productivity increase across departments, a significant rise from a previously stated 30% [4] - Early customer deployments, such as Disney's use of AI agents for optimizing theme park operations, demonstrate the practical viability of this vision [4] Group 3 - The concept of "agent fluidity" allows AI agents to seamlessly operate across datasets and applications, exemplifying the Service as Software model [5] - Salesforce's Data Cloud serves as a unified real-time data platform, aggregating internal and external data sources into a comprehensive business state map [8][9] - The integration of Data Cloud with core applications like Tableau enhances the effectiveness of AI agents by providing unified real-time data and metadata frameworks [10] Group 4 - Salesforce's strategy emphasizes data fluidity, allowing for federated data integration without requiring all data to be migrated to Salesforce's storage [11][12] - Collaborations with third-party data platforms like Snowflake and Databricks enhance the capabilities of Data Cloud, allowing real-time data queries and integration [12][13] - This open integration strategy positions Salesforce as a key player in modern data architecture, avoiding the pitfalls of data silos [30] Group 5 - Salesforce aims to become the first pure software hyperscaler, leveraging its SaaS platform to achieve scale without the capital-intensive model of traditional hyperscalers [19][20] - The company anticipates reaching an annual revenue of approximately $50 billion this fiscal year, with a focus on maintaining healthy free cash flow [20] - By embedding agents, workflows, and federated datasets into daily operations, Salesforce seeks to establish itself as a neutral orchestration layer in heterogeneous environments [20][21] Group 6 - The competitive landscape includes major players like Microsoft, which poses a significant challenge to Salesforce's ambitions in the AI space [23][24] - Salesforce's strategy of integrating rather than competing with data infrastructure providers like Snowflake and AWS allows it to avoid direct confrontations while enhancing its offerings [29][30] - The company is experiencing strong market response to its AI-driven agents, with over 5,000 organizations deploying the technology shortly after its launch [6][32] Group 7 - Salesforce's ambitious goal is to drive overall productivity improvements exceeding 50% through AI agents, with plans to embed AI capabilities across its entire customer base [35][36] - The next 12 to 24 months are critical for validating Salesforce's strategy and its ability to redefine the cloud economy through software alone [35][36] - If successful, Salesforce could reshape the perception of cloud leaders and establish itself as the preferred platform for enterprise-level AI [34][36]

Browser Use是一个开源产品，让AI Agent能够像真实用户一样操作浏览器，自动完成任务；它支持AI agents自动轮换，并允许用户按需运行任意数量 的并行任务。目前，Browser Use的应用案例范围广泛，包括从登录自动化和数据提取到QA测试和CRM集成等。 自推出以来，Browser Use发展迅速，在GitHub上获得超过60k star，是增长最快的开源人工智能项目之一。15,000多名开发人员在积极使用Browser Use，并积极在技术社区中贡献idea和解决方案。Browser Use因为Manus的出圈而被广泛传播，且其增长势头持续至今。 Browser Use两位创始人Magnus Müller和Gregor Zunic来自瑞士苏黎世联邦理工学院，二人在完成其数据科学硕士项目期间相识。2024年，两人一同 在苏黎世联邦理工学院的学生项目之家加速器(Student Project House accelerator)中推出了Browser Use的原型。 2025年3月，Browser Use在官网上宣布获得1700万种子轮融资。本轮融资由Felicis Ventures领投，A ...

Summary of CyberArk Earnings Call Company Overview - **Company**: CyberArk - **Industry**: Security Software, specifically focusing on identity security and machine identity management Key Points and Arguments Earnings Performance - CyberArk reported a strong first quarter with significant net new Annual Recurring Revenue (ARR) growth, particularly in subscription ARR growth, exceeding all guided metrics on revenue, margin, and free cash flow [5][6] - The company reiterated its guidance for the year, citing conservatism due to the macroeconomic backdrop rather than negative market signals [7][8] Market Dynamics - The evolving threat landscape is driving demand for identity security solutions, with organizations prioritizing security investments despite macroeconomic concerns [6][10] - Customers are not halting spending but are focusing on higher-priority security initiatives, particularly in identity security [11][12] Venafi Acquisition and Machine Identity - The integration of Venafi is progressing well, with sales teams ramping up and positive momentum in the machine identity business [13][15] - The CA Browser Forum's mandate to reduce certificate lifespans to 47 days by 2029 is creating urgency for organizations to adopt automated certificate lifecycle management solutions [14][23] - CyberArk's machine identity business is projected to grow significantly, with current ARR at approximately $170 million and a target of $1 billion in the coming years [22] Competitive Landscape - CyberArk faces competition from legacy providers in the certificate lifecycle management space, but its comprehensive platform offers unique integration of machine identity and secrets management [60][61] - The company differentiates itself from competitors like Okta by providing enhanced security controls and focusing on individual entitlements rather than group-level governance [66][69] Agentic AI and Future Opportunities - CyberArk is focusing on the rise of AI agents, which require robust identity management solutions to ensure security and compliance [30][32] - The company is developing its secure Agentic AI solution in partnership with firms like Accenture and ServiceNow, anticipating scaling in 2026 [33][35] Governance and Recent Acquisitions - The acquisition of Zillow is expected to enhance CyberArk's governance capabilities, particularly in modern Identity Governance and Administration (IGA) solutions [40][41] - Early feedback from customers indicates strong interest in Zillow's modern IGA capabilities, which can be implemented quickly compared to traditional solutions [42][43] Partner Strategy - CyberArk's partner strategy, particularly with global system integrators (SIs) and managed service providers (MSPs), is seen as a key differentiator, driving growth as more businesses shift to MSP models [49][50] Additional Important Insights - The company emphasizes the need for dynamic and real-time credential management, moving away from static usernames and passwords [54] - CyberArk's platform is positioned to address the complexities of managing identities across both human and machine environments, which is increasingly critical in today's security landscape [66][71]

Core Insights - Oracle has launched the Oracle AI Agent Studio, a platform designed for creating, extending, deploying, and managing AI agents within Oracle Fusion Cloud Applications, aimed at enhancing productivity and addressing complex business needs [1][2][6] Product Features - The AI Agent Studio provides tools for advanced testing, robust validation, and built-in security, allowing users to create and manage AI agents without additional costs [2][4] - Users can utilize agent template libraries to create AI agents with pre-built templates and natural language prompts for various business scenarios [4] - The platform supports agent team orchestration, enabling multiple agents to collaborate on complex tasks with checkpoints and approvals [4] - Users can modify and extend over 50 pre-packaged AI agents to meet specific industry needs [4] - The studio offers access to various large language models (LLMs), including those optimized for Oracle Fusion Applications [4] - Native integration with Oracle Fusion Applications allows for quick development of enterprise-ready agents [4] - The platform facilitates secure integration with third-party systems through APIs [4] - A trust and security framework ensures that agents operate within Oracle's security configurations [4] - Validation and testing tools are included to maintain trust and accuracy in AI-driven workflows [4] Industry Impact - The introduction of AI agents is seen as a significant evolution in enterprise applications, with predictions that agentic architectures will become mainstream by 2025 [3][5] - Organizations are increasingly looking to customize AI capabilities to demonstrate ROI on their investments [5][6] - The AI Agent Studio is expected to help organizations unlock the value of AI, transforming operational processes across various functions and industries [5][6] Analyst Support - Industry analysts view the Oracle AI Agent Studio as a crucial step in optimizing AI agent impact, enabling organizations to tailor their operations to unique business needs [6] - The platform is recognized for its potential to drive meaningful business value and enhance productivity for Oracle customers [6]

Group 1 - Meta is planning a significant expansion of its AI offerings aimed at business users, with the goal of reaching "hundreds of millions" of businesses [1] - The company's AI is currently utilized by over 700 million customers, indicating a strong existing user base [1] - Meta is focusing on small businesses that may not have the resources to hire large AI teams, aiming to provide them with AI solutions to benefit from technological advancements [2] Group 2 - The AI solutions will help businesses automate redundant tasks, engage customers, and act on behalf of the businesses, similar to how they currently use websites and email [2][3] - Small businesses are using Meta's platforms like WhatsApp, Facebook, and Instagram to acquire and engage customers, which will be enhanced by AI agents [3] - The role of AI agents in retail is expected to evolve, affecting digital job functions rather than physical ones, as retailers look to adjacent industries for successful AI implementations [4] Group 3 - Retailers are cautious about investing in new AI technology, as many solutions have yet to demonstrate a clear return on investment (ROI) [4] - Significant examples of ROI will be necessary to drive early adoption of AI agents in retail, with pricing needing to be linked to specific metrics or outcomes [5]

极兔中国全年经调整 EBIT 首次转正。 2024 年，极兔营收同比增长 16% 至 103 亿美元，中国市场贡献超六成。 2020 年进入中国后，极兔以高额亏损为代价，依靠低价与补贴迅速占领市场，在中国快递行业的 红海中挤入前五。四年后，极兔中国全年经调整 EBIT（息税前利润）首次转正，为 1.5 亿美元。 快递是低利润的精细生意，需要依靠规模与成本管理确立优势。2024 年，极兔在中国的单票成本 下降 12% 至 0.3 美元。中国市场扭亏，带动公司整体净利润从上一年的 -11.6 亿美元来到 1.1 亿美 元。 在大本营东南亚，极兔市占率继续保持第一，占据近三成的市场份额，盈利能力进一步增强。2024 年，极兔在该地区的经调整 EBIT 同比增长 49% 至 3 亿美元。 昂跑 2019 年在上海开出中国第一家店。我们了解到，昂跑目前在中国有约 60 店，一半为直营店。 我们曾经写过 ，昂跑诞生在 2010 年，是金融危机后的低迷期，跑步开始复兴。疫情后，人们又开 始需要跑步，昂跑、Hoka One One 于是兴起。昂跑拿着和耐克一样的营销剧本，讲跑者文化，也 正拿去耐克、阿迪达斯的市场份额。 特斯 ...