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#

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:

The @MercedesAMGF1 team relies on AMD to advance data analysis, simulations, and engineering decisions that shape every race. From split-second strategy to long-term performance gains, AMD helps keep Mercedes-AMG F1 ahead of the competition. See how the most trusted companies trust AMD:

Why AI Should Augment — Never Replace — the Human Clinician As a medical professional, I’m genuinely excited by AI’s potential — but I’m also clear-eyed about its limits. AI can already transform diagnostics, surgery, data analysis and routine care. Yet after years of real clinical experience, I’m convinced: AI must remain a powerful co-pilot — never the final decision-maker. Consciousness, qualia, and nuanced medical intuition are irreplaceable. They are essential information that shapes every meaningful decision. There are good people in tech who truly care about humanity — but also bad players chasing short-term profit. The financial stakes are enormous. Get this wrong and we risk eroded trust, widened inequities and real human suffering. Get it right, and AI could become one of the greatest achievements of our time — bringing high-quality care to millions who need it most. That’s why sincere dialogue between healthcare professionals, patient advocates, and AI/technology companies is essential. The goal isn’t replacement. It’s genuine partnership — AI as the powerful co-pilot, with the conscious clinician firmly in the captain’s seat. 👉 Full article in the first comment What are your thoughts?

German counterintelligence picked ChapsVision, a French analytics platform, over Palantir for its big-data analysis work. A Five Eyes-adjacent intelligence service choosing a European vendor over the dominant US platform is a concrete data point in the broader Western tech-sovereignty push, and it lands at a moment when Berlin is already renegotiating the terms of its dependence on Washington across defense, energy, and now intelligence infrastructure.

What does Hydrography look like in the Navy? 🌊 + 🗺️ Within the @Australian_Navy, Maritime Geospatial Officers utilise advanced sensors to collect and analyse a range of data crucial for ensuring ship safety, with the goal to leverage geospatial data analysis to enhance maritime operations providing strategic, operational, and tactical advantages to our naval forces. This data includes: ✅ Bathymetric mapping ✅ Seafloor analysis ✅ Current and tide measurements ✅ Terrestrial mapping ✅ Environmental observations #YourADF# #AusNavy#

Qwen3.6-Plus delivers advanced reasoning and real-world performance, optimized for complex workflows like UI-to-code and data analysis. Its Enhanced API utilizes Context Reuse to minimize redundant reasoning and reduce token consumption.

According to Drop Site News,Leaked documents revealed deepening cooperation between Cisco Systems and Israeli military and security institutions through the provision of advanced digital infrastructure and communication technologies used in managing military operations during the war on the Gaza Strip. The cooperation included cybersecurity systems, cloud computing, big data analysis, artificial intelligence technologies, and high speed military communication networks used by Israeli military and security agencies. The company secured major contracts with the Israeli Ministry of Defense, leading to increased profits in the Israeli market. Institutions benefiting from the company’s services include the air force, navy, military intelligence Aman, the Prime Minister’s Office overseeing Mossad and Shin Bet, the Israeli police and prison authority, and military industries companies such as Elbit Systems. #GazaGenocide# #gazacrimes# #europe# #Gaza# #Palestine# #Israeliwarcrimes# #غزة# #WeWillOpenOurAqsa# #AlAqsa_CriesForHelp#

JUST IN: TURKEY-BASED INSIDER ONE JUST ACQUIRED AI MARKETING UNICORN BLUECORE AHEAD OF A PLANNED 2028 U.S. IPO The deal retains Bluecore's unicorn status, meaning a valuation of more than $1 billion. The full picture, per Bloomberg: The deal: - Mix of cash and equity (size undisclosed) - Bluecore valued at $1B+ in the transaction - Insider One absorbs 150 Bluecore staff, including co-founder Fayez Mohamood - 50 other Bluecore employees being cut The strategic context: - Insider One uses AI to help brands personalize marketing and engagement - The deal expands the company's U.S. client base ahead of a planned U.S. IPO targeted for early 2028 - Bluecore serves 400+ brands, including Wayfair $W, The Gap $GAP, and CVS Health $CVS The company: - 2,000+ customers, 1,500 employees - Co-founder and CEO: Hande Cilingir - Last raise: $500M in 2024, led by General Atlantic - In March 2026, partnered with the OpenAI Foundation to use LLMs for customer data analysis - In talks for multiple further deals, mainly in the U.S. "The next acquisition may come from an area where we don't exist at the moment," Cilingir said.

Stablecoins, RWA, DePIN, Agentic, and AI will drive a more efficient, borderless, and automated global economy! Stablecoins With stablecoins, value moves instantly and cheaply anywhere in the world. They replace slow, expensive cross-border payments and banking rails. It allows businesses and people to hold, send, and earn yield on stable value 24/7 without traditional centralized entities. RWA Tokenizing bonds, real estate, commodities, invoices, and funds on blockchain. Assets becomes programmable, fractional, and liquid. Capital flows faster, ownership becomes more transparent. Anyone with internet access can invest in previously illiquid or restricted assets. This unlocks trillions in trapped real-world value. DePIN Blockchain incentives coordinate real-world hardware. Instead of big monopolies, millions of individuals and small operators run infrastructure and are rewarded for it. This lowers costs dramatically and builds more resilient, and globally distributed networks! Agentic (AI) Autonomous AI agents will be able to plan, transact, and execute tasks with minimal human input. AI handles data analysis, prediction, and optimization at bigger scale. Agentic systems act as digital employees: negotiating deals, managing supply chains, trading assets, etc. Combined with stablecoins and RWAs, agents can move money, own tokens, and manage portfolios all by themselves. Conclusion Companies will become lighter with less capital, and fewer employees (already happening). We'll move from centralized institutional entities toward more open, permissionless, incentive-aligned networks. The new economy will be faster, cheaper, more inclusive, and largely autonomous. Capital and services will flow where they’re needed with minimal intermediaries, while agents handle routine economic activity. The future is on-chain.