与「Analytics」相关的搜索结果

TRON joined @CoinDesk Policy & Regulation 2026 in Washington, D.C. as a Gold Sponsor. 🇺🇸 The event focused on the conversations shaping digital asset regulation, from transparency and on-chain analytics to collaboration across the public and private sectors.

𝕏 Ads just became agent-native... and this is a very powerful upgrade With the new 𝕏 Ads MCP, you can now connect Grok, Grok Build, Claude Code or other AI agents directly to your 𝕏 Ads account and manage campaigns through normal conversation You can literally ask: “How are my ads performing?” And the agent pulls real campaign data, analyzes the results, and tells you what’s working But it goes much further than analytics The AI can: • Create and manage campaigns • Search interests and locations for targeting • Add or remove targeting • Create ad posts • Promote existing posts • Check campaign performance and reach • Update and activate campaigns There are 23 𝕏 Ads tools available through the MCP And the safety design is actually smart: New campaigns and line items are created PAUSED by default, so the AI cannot start spending money until you explicitly activate them The agent can even chain the entire workflow itself: Your request → account → budget → campaign → targeting → ad This is where advertising is heading Instead of living inside Ads Manager, you just tell your AI what you want to achieve and the agent runs the campaign for you

WTF, GROK BOT JUST MADE AI AGENTS AVAILABLE TO LITERALLY ANYONE – CREATING CONTENT HAS NEVER BEEN THIS EASY, EVEN IF YOU'VE NEVER MADE ANYTHING BEFORE Content was never a talent problem. It's a headcount problem. One person doing research, design, copy, analytics, timing and publishing – that's six jobs. The switching between them is what kills consistency, not a lack of ideas. Here's what one of these setups actually looks like. A Chief of Staff sits in the middle and routes every task. Nothing lands on the human. → Researcher tracks what's actually moving and pulls real sources instead of guesswork → Writer turns that research into finished copy, ready to review → Visualiser gets fed a few reference visuals once, then ships everything in that style → Analyst reads the numbers and tells the rest of the team what worked → Scheduler owns timing and holds the queue → Publisher ships it The part that makes it work: every agent on Grok Bot gets its own persistent computer, browser and file system – and they all share memory. So the research is already sitting inside the draft before the draft starts. No copy-pasting between tools. No approving every step. No human in the middle. You can even teach an agent a repetitive task by recording yourself doing it once. Start recording, do the thing, stop. It learns the pattern. And that's the real shift. Nobody needs AI to tell them what to post. They need it to delete the 40 steps between the idea and the post. Everyone has a backlog of things they've meant to make for months. This is what starts clearing it. Full breakdown of the setup in the article below ↓

推荐给产品经理们的「PM Skills Marketplace」 开源作者 @PawelHuryn 把经典产品管理方法论封装成 AI 可调用的「68 Skills + 42 Commands + 9 Plugins」，让 Codex、Cursor、Claude Code、WorkBuddy 等变成"懂 PM 方法论的工作伙伴"。 # 三层架构、九个插件：Skills -> Commands -> Plugins 1. pm-product-discovery（13 Skills / 5 Commands） 创意发散、假设识别与排序、OST 机会树、用户访谈脚本、实验设计 2. pm-product-strategy（12 / 5） 战略画布、愿景、价值主张、Lean/BMC 画布、定价、SWOT/PESTLE/波特五力/Ansoff 3. pm-execution（16 / 11） 日常执行核心：PRD、OKR、成果导向路线图、冲刺/复盘、发布说明、利益相关者地图、用户故事、9 种优先级框架、红队压力测试 4. pm-market-research（7 / 3） 用户画像、细分、旅程地图、TAM/SAM/SOM、竞品分析、情感分析 5. pm-data-analytics（3 / 3） 自然语言转 SQL、同期群分析、A/B 测试统计显著性分析 6. pm-go-to-market（6 / 3） 滩头市场、ICP、增长飞轮、GTM 模式、竞品作战卡 7. pm-marketing-growth（5 / 2） 定位、价值主张、命名、北极星指标 8. pm-toolkit（4 / 5） 简历评审、NDA/隐私政策起草、校对 9. pm-ai-shipping（2 / 5） 最有特色的一个：为" vibe-coded 代码"补齐可审查性——逆向生成系统文档、静态安全/性能审计、测试覆盖映射，专门发现"文档说的与代码实际做的之间的差距"这类通用扫描器漏掉的问题

Big news: Qwen3.8-Max by @Alibaba_Qwen just landed at #4# on the Frontend Code Arena leaderboard with a score of 1,668! With 1,668 points, Qwen3.8-Max is trailing only Claude Opus 5 (Max) with 1,705 pts and Kimi K3 (Max) with 1,676 pts, on par with Claude Opus 5 (High) with 1669 pts. It also ranks high across all domains: #2# in Consumer Product #3# in Brand & Marketing, Reference-based design, Gaming, and Content Creation Tools #4# in Data & Analytics #5# Simulations Dig into the thread for more details and to see how it also performs on real-world tasks in the Text Arena. Congrats to @Alibaba_Qwen on this huge release!

DeepSeek-V4-Flash-High by @deepseek_ai is #7# overall in the Frontend Code Arena with 1,586 pts! It’s #3# among open. In categories it’s #4# in Consumer Product, #6# in Reference-based Design, Data & Analytics, Gaming, and #7# in Brand & Marketing. This is an impressive improvement from DeepSeek-V4-Flash-High-Preview, a +154 pt jump. Even more impressive is the jump from DeepSeek-V4-Pro-Preview, a +121 point improvement.

All Paid Courses (Free for First 4500 People). 𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 1) 1. Artificial Intelligence 2. Machine Learning 3. Prompt Engineering 4. Claude, ChatGPT, Grok 5. Data Analytics 6. AWS Certified 7. Data Science 8. BIG DATA 9. Python 10. Ethical Hacking (72 Hours only ) Like + RT + comment '' Drive '' Must Follow me so I can DM you.

Despite recent tech stock selloffs, are hedge funds still fundamentally bullish on AI? Vincent Lin, co-head of Prime Insights and Analytics in Global Banking & Markets, discusses his observations of the hedge fund industry:

⚪️ New App: Slate — a voice journal built on one rule: nothing leaves your phone. 100% Apple, top to bottom. Transcription by SpeechAnalyzer on device. Reflection by the 3 billion parameter Apple Intelligence model on the Neural Engine. Storage in SwiftData. Swift 6, SwiftUI, Liquid Glass. Zero third-party code in the binary. There's no account. No analytics. No tracking. No third party SDKs. No network calls. The app is private because there is nothing to collect. Turn on airplane mode and everything still works. There's no server. You speak your mind and slate writes it down. It notices patterns and reads your week back to you in a summary every Sunday. The local model is an observer. It never replies or advises or comforts. When it has nothing real to say, it says nothing.