→ How I'd Build an NFT Marketplace in 2025~~ A Schematic by @wmpeaster ~~--@jessewldn, a founder and managing partner of @variantfund, recently asked an interesting question:> You're building an NFT marketplace in 2025 from scratch—what are you focusing on and why?The tweet got dozens of replies. Some suggested better discovery flows, others better display options.But one of the most interesting came from @0xDesigner:> NFT marketplaces have always focused more on buying and selling and less on what you can ...

如何用AI工具自动生成企业年度经营分析报告 一、数据准备与清洗 通用型工具 GPT-3/4：适合撰写分析性文字，输入"2024年市场扩张策略效果评估"等指令，生成逻辑清晰的论述段 落 DeepSeek：支持数据建模与预测，例如基于历史数据构建线性回归模型预测未来三年营收趋势 垂直领域工具 Quill：专为财务报告设计，可自动生成投资分析、成本效益评估等模块 奥威BI+AI助手：通过Excel数据一键生成可视化图表，支持用户提问式数据探索 多源数据整合 从ERP、CRM、财务系统等平台自动抓取经营数据，利用AI工具（如数商云系统6）完成数据清洗，识 别异常值、重复项并标准化格式。例如，通过WPS Office的PDF转Excel功能9或秘塔AI的文档检索9， 快速提取结构化数据。 关键指标筛选 确定核心分析维度（如营收增长率、毛利率、现金流净额等），使用AI工具自动生成指标对比表。例 如，Kimi模型可处理长篇PDF财报，提取同比/环比数据 二、AI工具选择与配置 模板化生成 上传清洗后的数据文件，选择预设模板（如"财务分析""市场趋势"），AI将自动生成包含文字、图表的 初稿。例如，必归AI工具支持一键生成市 ...

一 简述 本文作为提升可视化工作的综合指南，将技术专长与设计原则相结合，帮助设计师将原始数据转化为有意义的见解。 它为创建更有效、更有影响力的数据可视化的策略、方法和最佳实践提供了参考点。 本文推荐了一些设计专业人士可以立即实施的工具和资源，以增强其数据叙述的清晰度和说服力。 数据无处不在，但要理解它，需要精心的设计。这篇内容全面的文章探讨了有效数据可视化的基本原则：简化复杂性的技 巧、真实呈现的方法以及吸引受众的方法。从选择合适的可视化格式到实施无障碍访问的最佳实践，您将发现将原始数字转 化为引人入胜的视觉叙事的实用策略。无论您是经验丰富的设计师、数据分析师，还是希望提升数据叙事能力的专业人士， 本资源都能提供工具和方法，帮助您创建兼具美观精致、清晰易懂、富有影响力的可视化作品。 人类每天都会产生惊人的 2.5 千万亿字节数据——这些数据来自我们的智能设备、计算机、传感器等等。这些海量信息几乎 触及我们生活的方方面面，从天气预报到金融交易、健康和健身统计数据，再到进度更新。然而，尽管数据本身浩瀚而丰 富，却很少能说明问题。如果没有背景信息，原始数字就仅仅是原始数据而已。 现代人需要数据可视化来理解我们的世界 ...

Key Takeaways INTC collaborates with HP to power AI PCs like EliteBook Ultra using Intel Core Ultra processors. Intel-optimized AI apps now deliver significantly enhanced performance and enterprise functionality. Intel's AI momentum is challenged by rival chipmakers and a sharp decline in earnings forecasts.Intel Corporation (INTC) is actively taking various initiatives to gain firmer footing in the expansive AI sector. The company has been collaborating with original equipment manufacturers like HP to de ...

Core Viewpoint - In the rapidly growing artificial intelligence (AI) sector, identifying undervalued stocks can be achieved by analyzing price/earnings-to-growth (PEG) ratios rather than just price-to-earnings (P/E) ratios [1][2] Group 1: Investment Opportunities in AI Stocks - Stocks with PEGs under 1 are generally considered undervalued, with notable mentions including Advanced Micro Devices (AMD), Broadcom, Salesforce, Nvidia, and Adobe [2] - Advanced Micro Devices (AMD) has a forward PEG of 0.2, with a 36% revenue increase last quarter to $7.44 billion, driven by a 57% surge in data center segment revenue to $3.7 billion [5][6] - Broadcom has a forward PEG of 0.4, reporting a 25% revenue increase to $14.9 billion, primarily due to a 70% rise in networking revenue, and is expanding into custom AI chips [9][10] - Salesforce has a forward PEG of 0.5, with its Data Cloud annual recurring revenue (ARR) increasing by 120% year over year to over $1 billion, and its Agentforce platform reaching ARR of $100 million shortly after launch [13][14] - Nvidia, a leading AI growth stock, has a forward PEG of 0.7, with data center revenue growing ninefold over two years and maintaining a 92% market share in the GPU space [16][17] - Adobe, with a forward PEG of 0.8, is categorized as growth at a reasonable price (GARP), utilizing AI to enhance its creative software solutions and maintain steady revenue growth [19][20] Group 2: Market Dynamics and Future Growth - AMD's growth is expected to accelerate as the AI market shifts from training to inference, which is anticipated to be a larger market opportunity [7][8] - Broadcom's custom AI chip market opportunity is projected to be between $60 billion to $90 billion by fiscal year 2027, indicating significant growth potential [10] - Salesforce aims to integrate its Data Cloud and Agentforce with existing applications to enhance customer satisfaction and drive adoption [15] - Nvidia's continued demand for its latest chips positions it well for future growth in the AI data center buildout [18] - Adobe's AI initiatives, particularly the Firefly generative AI model, are expected to support its revenue growth moving forward [21]

在 AI 驱动的 SaaS 软件新时代，数据治理不再是辅助功能，而是与工作流编排、权限体系并列的"平台核心"。Informatica 的加 入，不只是一次战术收购，更是一次对 SaaS 平台能力的结构性补强。未来的竞争，不是单点 AI 功能之间的比拼，而是谁能 将 AI 深度嵌入在企业运行逻辑中，构建一个"可信、可控、可持续"的智能系统。 在人工智能掀起的企业级革命浪潮中，Salesforce 又一次出手了。 2025 年 5 月底，硅谷传来一笔重磅交易：企业软件巨头 Salesforce 正式宣布，将以约 80 亿美元收购数据管理平台 Informatica。 在这种背景下，Salesforce 这笔交易的信号非常明确：AI 竞争，进入数据战阶段，而数据治理不是可选项，而是决定性门槛。 当 Salesforce 将它纳入麾下，一个关于"如何让 AI 有组织地进驻企业核心流程"的想象空间，也随之打开。 在这场收购公布后的 24 小时内，Informatica 的股价上涨了 11%，而 Salesforce 的股价几乎未变。市场的反应耐人寻味，一方 面是对数据治理价值的认同，另一方面也反映了对 Salesfor ...

Outset Medical (OM) FY 2025 Conference June 11, 2025 11:20 AM ET Speaker0 Anyway, I guess that's a good segue here. Just to remind everyone that these events are not these meetings are not open to the press. So with that, we'll get we'll get started here with last session of the morning here with very pleased to welcome the management team from outset medical Leslie Triggs, Chief Executive Officer and Renee Gaeta, who is recently appointed very recently appointed as CFO. So congratulations on the role and l ...

Salesforce (CRM) Conference Summary Company Overview - **Company**: Salesforce (CRM) - **Date**: May 29, 2025 - **Context**: Post-earnings conference call discussing company performance and future strategies Key Points Financial Performance - **CRPO (Current Remaining Performance Obligations)**: Strong performance, exceeding market expectations [6] - **Stock Performance**: Stock down 15% previously, but showing signs of recovery [4] Market Environment - **Macro Environment**: Enterprise software market remains measured, with positive outlook despite concerns about deceleration in sales, service, and commerce [7][6] - **Customer Sentiment**: High energy and excitement among developers, partners, and customers, indicating a positive internal culture [8] Strategic Initiatives - **Data Strategy**: Emphasis on the integration of Data Cloud and AgentForce, highlighting the importance of harmonizing enterprise data for better customer engagement [10][12] - **Informatica Acquisition**: Seen as a strategic move to enhance data capabilities and customer offerings, with a focus on AI and data sovereignty [15][16] - **AgentForce Development**: Positioned as a transformative tool for customer engagement, with ongoing evolution to meet diverse use cases [24][28] Product Innovations - **AgentForce**: Currently in early stages of adoption, with potential for expansion into various business functions beyond customer service [24][30] - **Action-Based Pricing Model**: Introduction of new pricing strategies to accommodate different use cases, moving beyond traditional conversation-based models [28][44] Competitive Landscape - **Service Cloud Expansion**: Plans to broaden the scope of Service Cloud to include employee service and IT operations, not just customer service [35] - **Response to Competitors**: Salesforce remains confident in its differentiation within the CRM market despite emerging competition [34] Risk Management - **Economic Sensitivity**: Preparedness for potential economic slowdowns, with strategies in place to maintain growth across sectors and regions [55][60] - **Sector-Specific Strategies**: Focus on public sector efficiency and retail pricing strategies to navigate market dynamics [57][58] Customer Engagement - **Use Cases**: Examples of successful implementations, such as FinAir, showcasing the effectiveness of AgentForce in improving customer service [49] - **Self-Service Growth**: Strong performance in self-service segments, indicating customer confidence in investing in new technologies [59] Future Outlook - **Innovation Pipeline**: Continued focus on integrating AI and data solutions to enhance customer experiences and operational efficiency [52][53] - **Market Positioning**: Salesforce aims to leverage its diverse portfolio and geographic reach to adapt to changing market conditions [60] Additional Insights - **Cultural Shift**: Emphasis on collaboration between humans and AI agents to enhance productivity rather than replace jobs [30][39] - **Flexibility in Pricing**: Acknowledgment of the evolving nature of AI pricing models, with a commitment to offering customers flexible options [41][45] This summary encapsulates the key discussions and insights from the Salesforce conference, highlighting the company's strategic direction, market positioning, and future growth opportunities.

在大数据时代，数据可视化已成为企业和个人解读信息、洞察趋势的核心技能。面对海量数据，如何选 择合适的工具将其转化为直观的图表与仪表盘？本文将系统梳理七大类别30余款主流数据可视化工具， 助您精准匹配业务需求。 一、商业智能（BI）工具：企业级数据分析利器 1. Tableau（行业标杆） 作为全球领先的BI平台，Tableau提供从数据连接到高级分析的完整解决方案。其拖拽式操作界面支持 快速创建交互式仪表盘，独有的VizQL技术可自动优化可视化逻辑。典型案例包括沃尔玛使用Tableau实 现供应链动态监控，节省数百万美元库存成本。但每年999美元/用户的定价对中小企业构成门槛。 2. Microsoft Power BI（微软生态整合） 深度集成Office 365的Power BI，以每月9.9美元的订阅价格提供DAX公式、自然语言查询等高级功能。 某零售企业通过Power BI自动同步Azure数据库，将销售报告生成时间从3天缩短至实时更新。其局限性 在于复杂计算需要较强DAX编程能力。 3. Qlik Sense（关联引擎驱动） 采用内存计算技术的Qlik，能在10秒内处理千万级数据关联分析。某银行使用 ...

Salesforce Inc CRM reported better-than-expected first-quarter financial results after the market close on Wednesday.Salesforce reported first-quarter revenue of $9.83 billion, beating the consensus estimate of $9.75 billion. The company reported first-quarter adjusted earnings of $2.58 per share, beating analyst estimates of $2.55 per share, according to Benzinga Pro."We've built a deeply unified enterprise AI platform — with agents, data, apps and a metadata platform — that is unmatched in the industry. W ...