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#

As we close out an incredible Snowflake Summit '26, here’s what’s new across the AI Data Cloud. Watch the June Snow Report and catch up on everything announced this month! Now generally available: • Snowflake CoWork – a personal work agent and control plane that understands your enterprise data and context, helping knowledge workers research, reason, and take action across business tools. • Snowflake CoCo – Snowflake’s AI coding agent for the enterprise, enabling teams to build, connect, and automate data workflows and AI applications from desktop, mobile, or Slack. • Snowflake Datastream – a fully managed streaming service for Apache Kafka that brings real-time data and AI together on a single governed platform. • Horizon Catalog – an agentic catalog that connects your entire data estate, making it easier to discover, govern, and trust data across clouds and engines. • Horizon Context – a governed semantic layer that ensures people, tools, and agents operate from the same trusted business definitions. • New AI Security Innovations – delivering granular controls for AI agents and enterprise-grade security across your AI data estate. Missed a keynote or technical session? They’re now available on demand, including Sridhar Ramaswamy’s mainstage conversation with Anthropic CEO Daniela Amodei. Upcoming events: • June 18 — Go from prompt to production and build a Streamlit app with CoCo • June 23 — Build batch data extraction pipelines at scale with Cortex AI Functions • June 24 — See Snowflake Postgres in action: one platform, zero pipelines • July 1 — Modernize SQL Server ETL with an AI-assisted migration using CoCo • July 9 — Build a fully working AI agent in just 90 minutes More detail: