RT Sandmark (@sandmark_news)Data from @tokenterminal. Read the full Solana analysis on Sandmark 👇https://t.co/tf2fnOL8r0 ...

CDA 国内某TOP电商平台的一项调查显示，40%以上的卖家都曾遇到过"有流量、没转化"的尴尬局面。你是不是也踩过类似的坑：投了广告，流量嗖嗖涨，可 转化率却毫无起色？ 多数电商人都曾苦恼于"数据看不懂、动作做不到、增长抓不住"。今天和大家分析 如何用MySQL分析来提升电商运营效率。 01 MySQL数据分析是什么？ 在电商行业，数据量巨大且结构多样。用户行为、商品信息、订单数据、营销活动、流量来源……都以不同的方式记录在数据库之中。 MySQL作为最流行的开源关系型数据库之一，是绝大多数中小型电商后台的"数据心脏"。 电商运营中，MySQL数据分析带来的核心价值体现在以下几个方面： | 价值点 | 具体表现 | 运营实际作用 | | --- | --- | --- | | 数据采集 | 统一存储订单、流量、行为数据 | 保证数据可用性与完整性 | | 数据整合 | 跨表查询、数据清洗、标签关联 | 打通信息孤岛,形成全局视角 | | 实时分析 | 支持高并发查询与快速聚合 | 追踪用户行为、监控异常、及时调整策略 | | 指标量化 | KPI分解、建模指标体系 | 推动业务精细化运营与绩效提升 | | 洞 ...

Core Insights - AI is increasingly integrated into everyday life and investing, providing enhanced research and analytical tools for average investors [1][2] - The emergence of AI is reshaping the stock market, creating new trends that will impact investors financially [2][3] Group 1: AI's Impact on Investing - AI enables faster trend detection by processing vast amounts of data, including news and earnings reports, in real time, allowing investors to identify potential trends early [4] - AI serves as a tool to enhance research and scenario analysis, helping investors understand how their portfolios might react to global changes [5] - The use of AI can empower everyday investors by providing access to professional-grade insights that were previously available only to Wall Street analysts [5][6] Group 2: Challenges and Recommendations - While AI offers valuable insights, many everyday investors may lack the expertise to fully interpret the information, leading to potential poor decision-making [6] - To avoid information overload, it is recommended that investors start small by allowing AI to track a few sectors of interest [6] - AI should support decision-making rather than drive it, encouraging a measured approach to leverage AI insights without overwhelming investors [7]

⚡️ INSIGHT: Edge in crypto isn’t prediction, it’s spotting fragility early.With clean data + strict prompts, ChatGPT can summarize flows, and support disciplined decisions. https://t.co/FEpRELHEt2 ...

Leadership Analysis - Data analysis suggests Xi Jinping's speeches and writings indicate a more assured and less tentative leadership style [1] - This analysis implies a potentially tougher negotiating stance for China's leader [1]

Our data analysis of Xi Jinping’s speeches and writings suggests that China’s leader is more assured and less tentative than ever before—a tough leader to sit across from at a negotiating table https://t.co/TUKa5XRt8n ...

Project Analysis - The analysis suggests that Monad's actions may have concluded the testnet airdrop phase, prompting a review of EclipseFND [1] - The report highlights a case where data analysis was used to advise against participating in the "Eclipse" project, which was considered a potential scam [1] - The core argument is that in the AI era, effective data analysis requires reliable data sources, appropriate tools, and professional domain knowledge to uncover insights and validate assumptions [1] Data Interpretation & Validation - The analysis points out that many were drawn to Eclipse based on the "data point" of low participation, but this was based on a misleading Dune panel [1] - The Dune panel data, showing a small number of addresses (around 3 thousand) with over 0.1 ETH interacting with Eclipse, was based on an outdated cross-chain bridge address [1] - The report emphasizes the importance of examining data trends (e.g., "recent 7/30 day data growth") to identify inconsistencies and avoid relying solely on static statistics [1] AI & Human Expertise - While AI simplifies data analysis by enabling quick query writing and visualization, it can't replace human judgment in assessing data source reliability and operational context [1] - The analysis argues that AI cannot replace "business common sense," such as knowing when a project changes its cross-chain bridge address [1] - The report concludes that success in data analysis, especially in the AI era, requires a combination of technical skills, domain expertise, and critical thinking [1] Project Outcome - Eclipse experienced a large-scale layoff and CEO change after its TGE, signaling the project's end [2] - Eclipse's official account showcased a K-line chart of its price plummeting, indicating a complete failure and potential exploitation of investors [2]

What we've been able to do is develop a technology that really helps uh scrape through all of that data and for our clinical geneticists who works on our team where now AI is serving up what the most likely answer is and it enables them to be able to make the definitive call. So what we're doing is really deploying AI and being able to empower the human on the other end of it, which is a critically important part in ensuring that we are delivering what is life-changing information for many of these families ...

Market Analysis - The analysis of Bitcoin market data is hindered by the limited availability of fresh data [1] - The market analysis emphasizes the importance of utilizing new data over old data due to the recent market crash rendering old data obsolete [1] - Short-term market movements are currently uncertain due to the lack of sufficient new data for analysis [1] - Recent data fluctuations (bullish one day, bearish the next) only impact short-term planning and do not affect the overall long-term outlook [1]

[Music] Welcome to something special. Welcome to TED X. This TED X event is part of a global conversation that takes place every day in every corner of the world.In schools, in theaters, in workplaces, even in prisons, people gather to hear the best ideas bubbling up in their communities. More than 3,000 TED X events are held every year in 170 countries. It's a remarkable thing.TEDex events are self-organized under a license from TED, a nonprofit organization devoted to discovering and sharing powerful idea ...