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AI Practical Use #3#: Let AI help you with Excel data analysis. AI 实用玩法第 3 个: 让 AI 帮你做 Excel 数据分析。 Here is a very common office situation: You have an Excel file with sales data, costs, profit, regions, products, and dates. Normally, you may spend 2 hours writing formulas, checking data, making summaries, and building charts. But with AI, you can finish the first draft in about 10 minutes. 一个很常见的办公场景: 你手里有一份 Excel 数据, 里面有销售额、成本、利润、区域、产品、日期。 以前你可能要花 2 小时: 写公式、查数据、做汇总、看趋势、做图表。 现在可以先交给 AI, 10 分钟生成初步分析结果。 You don’t need to manually type every complex formula. Let AI help you: Build formulas Summarize key findings Find abnormal data Compare trends Suggest chart formats Create a report structure 你不需要自己一个个输入复杂函数。 可以让 AI 帮你: 生成公式 总结关键结论 找出异常数据 对比趋势变化 建议图表形式 生成汇报框架 Here is a simple prompt: 这里有一个简单提示词: Please analyze this Excel data. Help me build the right formulas, summarize the key findings, find possible errors or abnormal values, and suggest the best chart or report format. I will review and verify the final results. 中文版本: 请分析这份 Excel 数据。 帮我生成合适的公式,总结关键结论,找出可能的错误或异常值,并建议最适合的图表或汇报格式。 最终结果由我来审核确认。 The key idea is simple: AI does the heavy first draft. You review the logic and final result. 核心思路很简单: AI 负责先把复杂工作做出来, 你负责审核逻辑和最终结果。 Before: 2 hours manually writing formulas. After: 10 minutes with AI assistance. 以前: 手动写公式、做分析,可能要 2 小时。 现在: 借助 AI,10 分钟先完成初稿。 AI is not here to replace your judgment. It helps you save time on repetitive work, so you can focus on checking, thinking, and making better decisions. AI 不是替代你的判断力。 它是帮你节省重复劳动的时间, 让你把精力放在审核、思考和决策上。 Let AI write the formulas. You review the results. 让 AI 写公式, 你负责审核结果。 That is a smarter way to work. 这才是更聪明的办公方式。 #ChatGPT# #AI# #AITools# #Excel# #ExcelTips# #DataAnalysis# #Productivity# #WorkSmarter# #OfficeWork# #BusinessTools# #Automation# #DigitalTools# #TechTips# #FutureOfWork# #PromptEngineering#
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We’re also rolling out an update that gives every notebook a secure cloud computer. 💻✨ This allows @Gemini_Notebook to write and execute code natively, helping you conduct complex data analysis grounded in your sources. Available today for Google AI Ultra users and Workspace business customers with AI Ultra Access and AI Expanded Access, and rolling out to all Pro users on the web over the coming weeks.
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1/ Most "AI data analyst" demos never leave the sandbox. Cool clip, no backend, no real users. We're testing whether that has to be true: InfiniSynapse × CSDN just opened a Vibe Coding contest — build a data-analysis app, but it has to actually ship and run on real infra.🧵👇
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🚨 Gavin Newsom’s wife was laundering herself so much money from her NGO she was actually in the top 5% for pay from all charities in the entire nation But that’s not all, Gavin Newsom “bought his $3.7 million Sacramento estate, it was done through an LLC, but that LLC doesn't seem to have appeared on his tax returns — There’s a lot of questions” “He’s released at least partly to journalists in closed-door viewing sessions, his tax returns. And if you look at that, his income, it's about $1.2 to $1.4 million a year. And it just doesn't add up for all of his expenses. He's got massive mortgages, $625,000 in mortgage payments and he's got at least $1 million in living expenses, and the two just don't add up” “When I had a look at Jennifer Newsom's charity, I found that she was paying herself since 2012, $3.7 million. And this is a lot of money when you look at the amount that the charity brings in. It's sort of $1-$1.7 million a year. And she's paying up to a third of that to herself and her own company—$300,000 a year. Now, I did a bit of data analysis looking at what charities that size usually pay their executives, and she was in the top 5% of all charities in the nation for pay” In the video I included more instances where Gavin Newsom laundered money to his wife - $1 million to block a casino project - $5 million to an office for his wife that he created - He sent $300,000 from his donor PG&E to his wife’s NGO And more, it never ends. They need to go to jail
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One prompt. A whole week of work, done. We called in WorkBuddy's data analysis Expert and got back: — 4 finished deliverables — A live revenue model you can drag and explore — A 260-row CSV, auto-generated — All packaged in one interactive HTML From a single sentence to a working file. This is what "AI agent" actually means. WorkBuddy. Delivered, not drafted.
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While AI is enabling more sophisticated data analysis in the quantitative investment space, it is also creating new inefficiencies. On the Goldman Sachs Exchanges podcast, Osman Ali, global co-head of Quantitative Investment Strategies in Asset Management, discussed his observations:
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Data-Analysis-Agent:用自然语言查数据库的开源 AI 数据分析工具
公司真实的业务数据不方便直接丢给在线 AI 🤡 又不想每次查报表都求人写 SQL? Data-Analysis-Agent :一个面向商业分析场景的 AI Agent 支持上传 Excel / CSV 或连接 MySQL、PostgreSQL 等数据库 通过自然语言生成 SQL、图表和分析结论 适合中小团队搭建轻量级查数入口
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Upgraded Molty in the maintainer channel to access discrawl. Now we can run data analysis OF Discord INSIDE Discord
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Since PRs at @openclaw are basically reverse entropy, I'm now using codex to run data analysis on Discord to filter out the most important pain points to see where to work on next.
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