{"id":105771,"date":"2026-09-15T23:40:35","date_gmt":"2026-09-15T15:40:35","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/105771.html"},"modified":"2026-09-15T23:40:35","modified_gmt":"2026-09-15T15:40:35","slug":"%e5%90%b4%e6%81%a9%e8%be%beai%e6%8a%80%e8%83%bd%e6%b7%b1%e8%a7%a3%e2%91%a3%ef%bc%9a%e5%ae%9a%e4%b9%89%e6%9e%84%e5%bb%ba%ef%bc%8c%e5%b7%a5%e7%a8%8b%e5%b8%88%e4%b8%ba%e4%bb%80%e4%b9%88%e4%b8%8d%e7%94%a8","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/105771.html","title":{"rendered":"\u5434\u6069\u8fbeAI\u6280\u80fd\u6df1\u89e3\u2463\uff1a\u5b9a\u4e49\u6784\u5efa\uff0c\u5de5\u7a0b\u5e08\u4e3a\u4ec0\u4e48\u4e0d\u7528\u518d\u7b49 PM\uff1f"},"content":{"rendered":"<h3>TL;DR<\/h3>\n<ul>\n<li>2026-09&#xff0c;\u5434\u6069\u8fbe\u53d1\u5e03\u6280\u80fd\u5730\u56fe\u5e8f\u5217\u6587\u6536\u5b98\u7bc7&#xff1a;\u6df1\u89e3&#034;\u5b9a\u4e49\u6784\u5efa&#034;<\/li>\n<li>\u8fd9\u4e00\u9879\u88ab\u62c6\u6210 4 \u9879\u6280\u80fd&#xff1a;\u9a71\u52a8\u6784\u5efa\u5faa\u73af\u3001\u505a\u4ea7\u54c1\u51b3\u7b56\u3001\u6c9f\u901a\u4e0e\u9886\u5bfc\u3001\u9ad8\u4e3b\u52a8\u6743\u62c5\u8d23\u3002<\/li>\n<li>\u6838\u5fc3\u5224\u65ad&#xff1a;\u8fc7\u53bb&#034;PM \u5b9a\u9700\u6c42\u3001\u5f00\u53d1\u8005\u53ea\u7ba1\u5b9e\u73b0&#034;\u7684\u5206\u5de5\u6b63\u5728\u6a21\u7cca\u3002\u4f1a AI \u5de5\u7a0b\u7684\u5f00\u53d1\u8005&#xff0c;\u65e2\u5efa\u8f6f\u4ef6&#xff0c;\u4e5f\u53c2\u4e0e\u5b9a\u9700\u6c42\u3001\u6392\u4f18\u5148\u7ea7\u3002<\/li>\n<li>\u4e00\u4e2a\u53cd\u76f4\u89c9\u7684\u673a\u4f1a&#xff1a;\u5f88\u591a\u9ad8\u7ba1\u8fd8\u4e0d\u6e05\u695a AI \u80fd\u505a\u4ec0\u4e48\u3001\u4ec0\u4e48\u662f\u597d\u65b9\u5411\u3002\u8fd9\u7ed9\u61c2\u6280\u672f\u7684\u4eba\u7559\u4e86\u4f4d\u7f6e\u2014\u2014\u53d1\u73b0 problems\u3001\u63d0\u65b9\u6848\u3001\u4eb2\u624b\u843d\u5730&#xff0c;\u4e0d\u7528\u7b49\u7cbe\u786e\u7684\u81ea\u4e0a\u800c\u4e0b\u6307\u4ee4\u3002<\/li>\n<\/ul>\n<hr \/>\n<p>\u5434\u6069\u8fbe\u300aAI\u5de5\u7a0b\u6280\u80fd\u5730\u56fe\u300b\u7684\u6df1\u89e3\u7cfb\u5217\u5230\u6700\u540e\u4e00\u7bc7\u4e86\u3002\u7b2c\u56db\u7bc7\u62c6\u89e3&#034;\u5b9a\u4e49\u6784\u5efa&#034;&#xff0c;\u5730\u56fe\u91cc\u7684\u7b2c\u56db\u9879\u6280\u80fd\u3002\u4ed6\u7ed9\u8fd9\u7bc7\u5b9a\u7684\u8c03\u5b50\u662f&#xff1a;\u7b49\u4f60\u7cbe\u901a AI \u5de5\u7a0b&#xff0c;\u4f60\u6700\u597d\u7684\u5de5\u4f5c\u5c31\u4e0d\u518d\u662f\u5b9e\u73b0\u522b\u4eba\u5199\u597d\u7684\u89c4\u683c&#xff0c;\u800c\u662f\u4e3b\u52a8\u51b3\u5b9a\u8981\u6784\u5efa\u4ec0\u4e48\u3002\u6211\u4e3a\u5927\u5bb6\u9010\u6761\u62c6\u5f00&#xff1a;\u8fd9\u4e00\u9879\u80cc\u540e&#xff0c;\u85cf\u7740 4 \u9879\u6280\u80fd\u3002\u6587\u672b\u9644\u56db\u7bc7\u8fde\u8bfb\u603b\u89c8&#xff0c;\u6574\u4e2a\u7cfb\u5217\u4e00\u6b21\u770b\u5168\u3002 <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/09\/20260915154033-6aa966f1bafac.png\" alt=\"AI\u5de5\u7a0b\u6280\u80fd\u5730\u56fe4\uff1a\u5b9a\u4e49\u6784\u5efa\" \/><\/p>\n<h3>\u80cc\u666f&#xff1a;\u8fd9\u7bc7\u56de\u5e94\u7684\u662f\u4ec0\u4e48\u95ee\u9898&#xff1f;<\/h3>\n<p>8 \u6708 14 \u65e5&#xff0c;\u5434\u6069\u8fbe\u53d1\u5e03\u300aAI\u5de5\u7a0b\u6280\u80fd\u5730\u56fe\u300b&#xff0c;\u63d0\u70bc\u51fa 4 \u9879\u6838\u5fc3\u6280\u80fd\u3002\u4e4b\u540e\u4e09\u5468&#xff0c;\u6df1\u89e301 \u62c6&#034;\u6784\u5efa\u548c\u90e8\u7f72 AI \u5e94\u7528&#034;&#xff0c;\u6df1\u89e302 \u62c6&#034;\u8f6f\u4ef6\u5de5\u7a0b\u57fa\u7840&#034;&#xff0c;\u6df1\u89e303 \u62c6&#034;\u4f7f\u7528\u7f16\u7a0b\u667a\u80fd\u4f53&#034;\u3002\u7b2c\u56db\u7bc7\u843d\u5730&#xff0c;\u4e3b\u9898\u662f\u5730\u56fe\u6700\u540e\u4e00\u9879&#xff1a;\u201c\u5b9a\u4e49\u6784\u5efa\u201d&#xff08;Shaping the build&#xff09;\u3002<\/p>\n<p>\u8fd9\u7bc7\u56de\u5e94\u7684\u662f\u4e00\u4e2a\u8001\u95ee\u9898\u7684\u65b0\u7248\u672c&#xff1a;\u9700\u6c42\u8c01\u5b9a&#xff0c;\u4ee3\u7801\u8c01\u5199&#xff0c;\u8fd9\u6761\u7ebf\u8fd8\u5206\u5f97\u5f00\u5417&#xff1f;<\/p>\n<p>\u8fc7\u53bb\u7684\u5206\u5de5\u5f88\u6e05\u695a&#xff1a;\u4ea7\u54c1\u7ecf\u7406&#xff08;PM&#xff09;\u548c\u8bbe\u8ba1\u5e08\u5b9a\u4e49\u505a\u4ec0\u4e48&#xff0c;\u5f00\u53d1\u8005\u8d1f\u8d23\u5b9e\u73b0&#xff0c;\u9879\u76ee\u7ecf\u7406\u63a8\u6392\u671f\u3002 \u5434\u6069\u8fbe\u7684\u5224\u65ad\u662f&#xff1a;\u8fd9\u6761\u5206\u5de5\u7ebf\u6b63\u5728\u6a21\u7cca&#xff0c;\u800c\u4e14\u662f\u53cc\u5411\u7684\u2014\u2014\u4f1a AI \u5de5\u7a0b\u7684\u5f00\u53d1\u8005\u5728\u53c2\u4e0e\u5b9a\u9700\u6c42&#xff0c;PM \u548c\u8bbe\u8ba1\u5e08\u4e5f\u5728\u5b66 AI \u5de5\u7a0b\u53c2\u4e0e\u6784\u5efa\u3002<\/p>\n<p>\u5e26\u6765\u7684\u53d8\u5316\u5f88\u5b9e\u9645&#xff1a;\u4f1a\u5b9a\u4e49\u6784\u5efa\u7684\u4eba&#xff0c;\u4e0d\u7528\u7b49 PM \u628a\u6bcf\u4ef6\u4e8b\u60f3\u6e05\u695a\u624d\u80fd\u52a8\u624b\u3002\u8fd9\u5c31\u662f\u672c\u7bc7\u8981\u62c6\u7684 4 \u9879\u6280\u80fd\u3002<\/p>\n<hr \/>\n<h3>\u5b9a\u4e49\u6784\u5efa&#xff0c;\u4e3a\u4ec0\u4e48\u80fd\u62c6\u51fa4\u9879\u6280\u80fd&#xff1f;<\/h3>\n<p>\u5148\u770b\u5168\u8c8c\u3002\u5434\u6069\u8fbe\u628a&#034;\u5b9a\u4e49\u6784\u5efa&#034;\u62c6\u6210 4 \u9879\u6280\u80fd&#xff1a;<\/p>\n<table>\n<tr>\u6280\u80fd\u4e00\u53e5\u8bdd\u672c\u8d28<\/tr>\n<tbody>\n<tr>\n<td>\u9a71\u52a8\u6784\u5efa\u5faa\u73af&#xff08;Driving the build loop&#xff09;<\/td>\n<td>\u5199\u4e00\u70b9\u3001\u62ff\u53cd\u9988\u3001\u5b9a\u4e0b\u4e00\u6b65&#xff0c;\u8ba9\u9879\u76ee\u4ee5 AI \u5141\u8bb8\u7684\u901f\u5ea6\u8dd1\u8d77\u6765<\/td>\n<\/tr>\n<tr>\n<td>\u505a\u4ea7\u54c1\u51b3\u7b56&#xff08;Making product decisions&#xff09;<\/td>\n<td>spec \u6ca1\u8986\u76d6\u7684\u4e8b\u4e5f\u80fd\u62ff\u4e3b\u610f&#xff0c;\u4ea7\u54c1\u611f\u3001\u8bbe\u8ba1\u611f\u3001\u5546\u4e1a\u611f\u90fd\u5728\u7ebf<\/td>\n<\/tr>\n<tr>\n<td>\u6c9f\u901a\u4e0e\u9886\u5bfc&#xff08;Communicating and leading&#xff09;<\/td>\n<td>\u8de8\u804c\u80fd\u534f\u8c03&#xff0c;\u66ff\u7ec4\u7ec7&#034;\u7ffb\u8bd1&#034;AI \u5230\u5e95\u80fd\u5e72\u4ec0\u4e48<\/td>\n<\/tr>\n<tr>\n<td>\u9ad8\u4e3b\u52a8\u6743\u62c5\u8d23&#xff08;High-agency ownership&#xff09;<\/td>\n<td>\u4e0d\u7b49\u6307\u4ee4&#xff0c;\u53d1\u73b0\u95ee\u9898\u3001\u63d0\u65b9\u6848\u3001\u4eb2\u624b\u843d\u5730<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u8fd9 4 \u9879\u4e0d\u662f\u6b65\u9aa4\u987a\u5e8f&#xff0c;\u662f&#034;\u4f1a\u5b9a\u4e49\u6784\u5efa&#034;\u7684\u56db\u4e2a\u4fa7\u9762\u3002\u4e0b\u9762\u9010\u6761\u62c6\u3002<\/p>\n<hr \/>\n<h3>\u6280\u80fd1&#xff1a;\u9a71\u52a8\u6784\u5efa\u5faa\u73af\u2014\u2014\u4e3a\u4ec0\u4e48&#034;\u5148\u52a8\u8d77\u6765&#034;\u6392\u5728\u7b2c\u4e00\u4f4d&#xff1f;<\/h3>\n<p>\u5927\u90e8\u5206\u8f6f\u4ef6\u662f\u8fd9\u4e48\u9020\u51fa\u6765\u7684&#xff1a;\u5199\u4e00\u70b9\u4ee3\u7801&#xff0c;\u6536\u96c6\u4e00\u4e9b\u53cd\u9988&#xff0c;\u51b3\u5b9a\u4e0b\u4e00\u6b65\u505a\u4ec0\u4e48\u3002\u8fd9\u662f\u4e2a\u5faa\u73af\u3002<\/p>\n<p>\u4f1a\u5b9a\u4e49\u6784\u5efa\u7684\u4eba&#xff0c;\u5728\u8fd9\u4e2a\u5faa\u73af\u91cc\u626e\u6f14\u9a71\u52a8\u8005\u7684\u89d2\u8272&#xff1a;\u53cd\u590d\u51b3\u5b9a\u4e0b\u4e00\u6b65\u600e\u4e48\u8d70&#xff0c;\u8ba9\u9879\u76ee\u5f80\u524d\u632a\u3002 \u5434\u6069\u8fbe\u7ed9\u8fd9\u7c7b\u4eba\u8d34\u4e86\u4e00\u4e2a\u6807\u7b7e&#xff1a;\u504f\u5411\u884c\u52a8&#xff08;bias for action&#xff09;\u2014\u2014\u7528 AI \u5e26\u6765\u7684\u9ad8\u901f\u5ea6\u53bb\u63a8\u8fd9\u4e2a\u5faa\u73af\u3002<\/p>\n<p>\u5177\u4f53\u600e\u4e48\u63a8&#xff0c;\u6709\u4e00\u7ec4\u5178\u578b\u9009\u62e9&#xff1a;\u5feb\u901f\u505a\u4e2a\u539f\u578b&#xff0c;\u9a8c\u8bc1\u4e00\u4e2a\u6280\u672f\u6982\u5ff5\u6216\u7528\u6237\u529f\u80fd&#xff1b;\u642d\u4e00\u4e2a MVP&#xff08;\u6700\u5c0f\u53ef\u884c\u4ea7\u54c1&#xff09;\u62ff\u7ed9\u7528\u6237&#xff0c;\u6f14\u793a\u4ef7\u503c&#xff1b;\u6216\u8005\u53cd\u8fc7\u6765&#xff0c;\u5f80\u4f01\u4e1a\u7ea7\u7cfb\u7edf\u6295\u5165\u3002\u4ed6\u7279\u522b\u5f3a\u8c03\u5c0f\u6279\u91cf\u53d1\u5e03&#xff08;shipping in small batches&#xff09;&#xff0c;\u7528\u5c0f\u6b65\u5feb\u8dd1\u4fdd\u4f4f\u901f\u5ea6\u3002<\/p>\n<p>\u4ec0\u4e48\u65f6\u5019\u8be5\u627e\u7528\u6237\u6216\u5229\u76ca\u76f8\u5173\u8005\u62ff\u53cd\u9988&#xff1f;\u4ec0\u4e48\u65f6\u5019\u8be5\u5148\u8dd1\u4e00\u4e2a\u6280\u672f\u5b9e\u9a8c&#xff08;\u6bd4\u5982\u8bad\u7ec3\u4e00\u4e2a\u6a21\u578b&#xff09;\u6765\u6536\u96c6\u4fe1\u606f&#xff1f;\u8fd9\u662f\u9a71\u52a8\u5faa\u73af\u7684\u4eba\u8981\u53cd\u590d\u505a\u7684\u5224\u65ad\u3002\u5224\u65ad\u4f9d\u636e\u662f\u4e00\u4e32\u7ea6\u675f&#xff1a;\u4ea7\u54c1\u613f\u666f\u3001\u9879\u76ee\u9636\u6bb5\u3001\u6280\u672f\u53ef\u884c\u6027\u3001\u5173\u952e\u98ce\u9669\u3001\u5de5\u4f5c\u91cf\u3001\u9884\u7b97\u3002<\/p>\n<p>\u9879\u76ee\u6210\u719f\u4e4b\u540e&#xff0c;\u8fd8\u6709\u4e00\u5c42\u529f\u592b&#xff1a;\u5b9a\u4e49\u5173\u952e\u6307\u6807&#xff08;key metrics&#xff09;&#xff0c;\u7528\u9879\u76ee\u7ba1\u7406\u628a\u6307\u6807\u63a8\u4e0a\u53bb\u3002<\/p>\n<hr \/>\n<h3>\u6280\u80fd2&#xff1a;\u505a\u4ea7\u54c1\u51b3\u7b56\u2014\u2014\u4e3a\u4ec0\u4e48 spec \u6ca1\u5199\u7684\u5730\u65b9\u4e5f\u8981\u4f60\u62ff\u4e3b\u610f&#xff1f;<\/h3>\n<p>\u5434\u6069\u8fbe\u628a\u8bdd\u8bf4\u5f97\u5f88\u6e05\u695a&#xff1a;\u5f00\u53d1\u8005\u4e0d\u5fc5\u53d8\u6210 PM&#xff0c;\u4f46\u4f60\u8981\u80fd\u5bf9&#034;spec \u6ca1\u8986\u76d6\u7684\u4e8b&#034;\u505a\u51b3\u7b56\u3002 \u5982\u679c\u6709\u4eba\u8ba9\u4f60\u5728\u6ca1\u6709 spec \u7684\u60c5\u51b5\u4e0b\u5f00\u5de5&#xff0c;\u4f60\u8981\u77e5\u9053\u600e\u4e48\u628a spec \u5f00\u53d1\u51fa\u6765\u3002<\/p>\n<p>\u8fd9\u80cc\u540e\u662f\u4e09\u79cd\u611f\u89c9&#xff1a;<\/p>\n<ul>\n<li>\u4ea7\u54c1\u611f&#xff08;product sense&#xff09;&#xff1a;\u80fd\u6311\u51fa\u6ee1\u8db3\u771f\u5b9e\u7528\u6237\u9700\u6c42\u7684\u4ea7\u54c1\u65b9\u5411&#xff0c;\u4e0d\u7528\u7b49 PM \u505a\u6bcf\u4e2a\u51b3\u5b9a\u3002<\/li>\n<li>\u8bbe\u8ba1\u611f&#xff08;design sense&#xff09;&#xff1a;\u81f3\u5c11\u6709\u57fa\u672c\u7684\u5ba1\u7f8e\u5224\u65ad&#xff0c;\u505a\u51fa\u6765\u7684\u4e1c\u897f\u4e0d\u5149\u80fd\u7528&#xff0c;\u8fd8\u5f97\u597d\u7528\u3002<\/li>\n<li>\u5546\u4e1a\u611f&#xff08;business sense&#xff09;&#xff1a;\u80fd\u60f3\u660e\u767d\u8fdb\u5165\u5e02\u573a\u7b56\u7565&#xff08;go-to-market&#xff09;\u3001\u5e02\u573a\u89c4\u6a21&#xff08;market size&#xff09;\u3001\u5355\u4f4d\u7ecf\u6d4e&#xff08;unit economics&#xff09;\u3001\u635f\u76ca&#xff08;P&amp;L&#xff09;&#xff0c;\u5728\u82b1\u94b1\u548c\u8d5a\u94b1\u4e4b\u95f4\u505a\u5408\u7406\u7684\u6743\u8861\u3002<\/li>\n<\/ul>\n<p>\u8fd9\u4e09\u79cd\u611f\u89c9\u4ece\u54ea\u6765&#xff1f;\u624e\u5728\u7528\u6237\u5171\u60c5&#xff08;user empathy&#xff09;\u4e0a\u3002 \u5171\u60c5\u4e0d\u662f\u7384\u5b66&#xff0c;\u5b83\u9760\u65b9\u6cd5\u6301\u7eed\u6253\u78e8\u2014\u2014\u4ed6\u7ed9\u4e86\u4e00\u4e2a\u4ece\u8f7b\u5230\u91cd\u7684\u5de5\u5177\u7bb1&#xff1a;<\/p>\n<ul>\n<li>\u627e 2-3 \u4e2a\u7528\u6237\u505a\u5feb\u901f\u975e\u6b63\u5f0f\u8bbf\u8c08&#xff1b;<\/li>\n<li>\u53d1\u51e0\u767e\u4eba\u7684\u95ee\u5377&#xff1b;<\/li>\n<li>\u8dd1\u5927\u89c4\u6a21 A\/B \u6d4b\u8bd5&#xff1b;<\/li>\n<li>\u5206\u6790\u6210\u5343\u4e0a\u4e07\u751a\u81f3\u4e0a\u767e\u4e07\u7528\u6237\u7684\u884c\u4e3a\u6570\u636e\u3002<\/li>\n<\/ul>\n<p>\u8fd9\u4e9b\u8f93\u5165&#xff0c;\u90fd\u4f1a\u53d8\u6210\u4f60\u5bf9\u7528\u6237\u7406\u89e3\u7684\u4e00\u90e8\u5206\u3002<\/p>\n<hr \/>\n<h3>\u6280\u80fd3&#xff1a;\u6c9f\u901a\u4e0e\u9886\u5bfc\u2014\u2014\u4e3a\u4ec0\u4e48\u61c2\u6280\u672f\u7684\u4eba\u6700\u9002\u5408\u66ff\u7ec4\u7ec7&#034;\u7ffb\u8bd1&#034;AI&#xff1f;<\/h3>\n<p>AI \u5de5\u7a0b\u8ba9\u4f60\u7684\u5de5\u4f5c\u8303\u56f4\u4e0d\u518d\u9650\u4e8e\u6280\u672f\u3002 \u4e00\u4e2a\u9879\u76ee\u4f1a\u78b0\u5230\u8425\u9500\u3001\u8d22\u52a1\u3001\u6cd5\u52a1\u8fd9\u4e9b\u804c\u80fd&#xff0c;\u4f60\u7684\u6c9f\u901a\u80fd\u529b\u53d8\u5f97\u6bd4\u8fc7\u53bb\u66f4\u91cd\u8981\u2014\u2014\u628a\u5229\u76ca\u76f8\u5173\u8005\u5bf9\u9f50\u3001\u534f\u8c03\u597d&#xff0c;\u9879\u76ee\u624d\u80fd\u5f80\u524d\u63a8\u3002 \u987a\u5e26\u4e00\u63d0&#xff0c;\u6c9f\u901a\u80fd\u529b\u4e5f\u662f\u4f60\u548c\u7528\u6237\u5bf9\u8bdd\u3001\u6253\u78e8\u5171\u60c5\u7684\u57fa\u7840\u3002<\/p>\n<p>\u8fd9\u4e00\u8282\u8fd8\u6709\u4e2a\u7279\u522b\u7684\u89c2\u5bdf\u3002 AI \u6280\u672f\u53d8\u5316\u592a\u5feb&#xff0c;\u5f88\u591a\u5de5\u7a0b\u4ee5\u5916\u7684\u4eba\u2014\u2014\u5305\u62ec\u7ba1\u7406\u5c42\u2014\u2014\u6b63\u5728\u52aa\u529b\u7406\u89e3\u8fd9\u9879\u6280\u672f\u3001\u5b83\u5bf9\u81ea\u5df1\u5de5\u4f5c\u7684\u5f71\u54cd\u3001\u4ee5\u53ca\u5b83\u5e26\u6765\u7684\u65b0\u505a\u6cd5\u548c\u65b0\u4ea7\u54c1\u3002<\/p>\n<p>\u8fd9\u65f6\u5019&#xff0c;\u4f60\u7684 AI \u5de5\u7a0b\u6280\u672f\u80fd\u529b\u5c31\u6210\u4e86\u7a00\u7f3a\u8d44\u6e90&#xff1a;\u4f60\u53ef\u4ee5\u89e3\u91ca\u67d0\u4e9b\u4e3e\u63aa\u5728\u6280\u672f\u4e0a\u5230\u5e95\u53ef\u4e0d\u53ef\u884c&#xff0c;\u5e2e\u7ec4\u7ec7\u5efa\u7acb\u5bf9 AI \u7684\u5224\u65ad&#xff0c;\u8fdb\u800c\u5e2e\u52a9\u6574\u4e2a\u7ec4\u7ec7\u5f80\u524d\u8d70\u3002<\/p>\n<hr \/>\n<h3>\u6280\u80fd4&#xff1a;\u9ad8\u4e3b\u52a8\u6743\u62c5\u8d23\u2014\u2014\u4e3a\u4ec0\u4e48&#034;\u4e0d\u7b49\u6307\u4ee4&#034;\u53cd\u5012\u662f\u673a\u4f1a&#xff1f;<\/h3>\n<p>\u8fd9\u662f\u5168\u6587\u6700\u6709\u610f\u601d\u7684\u4e00\u8282\u3002 \u5434\u6069\u8fbe\u70b9\u51fa\u4e00\u4e2a\u73b0\u72b6&#xff1a;\u5f88\u591a\u4eba\u2014\u2014\u5305\u62ec\u4e00\u4e9b\u9ad8\u7ba1\u2014\u2014\u8fd8\u4e0d\u7406\u89e3 AI \u80fd\u505a\u4ec0\u4e48&#xff0c;\u4e5f\u5c31\u5224\u65ad\u4e0d\u4e86\u4ec0\u4e48\u662f\u597d\u7684\u9879\u76ee\u65b9\u5411\u3002<\/p>\n<p>\u8fd9\u4e2a\u8ba4\u77e5\u7f3a\u53e3&#xff0c;\u7ed9\u6709\u6280\u672f\u80fd\u529b\u7684\u4eba\u5f00\u4e86\u4e00\u6247\u7a97&#xff1a;\u4f60\u53ef\u4ee5\u53bb\u53d1\u73b0 problems\u3001\u63d0\u51fa solutions\u3001\u7136\u540e\u4eb2\u624b\u6267\u884c\u3002\u524d\u63d0\u662f\u5c0a\u91cd\u7ec4\u7ec7\u7684\u4f18\u5148\u7ea7\u548c\u7ea6\u675f&#xff0c;\u4f46\u4e0d\u9700\u8981\u7b49\u4e00\u4efd\u7cbe\u786e\u7684\u81ea\u4e0a\u800c\u4e0b&#xff08;top-down&#xff09;\u6307\u4ee4\u624d\u52a8\u3002<\/p>\n<p>\u201c\u9ad8\u4e3b\u52a8\u6743\u201d&#xff08;high-agency&#xff09;\u8bf4\u7684\u5c31\u662f\u8fd9\u4e2a&#xff1a;AI \u5de5\u7a0b\u6280\u80fd\u7ed9\u4e86\u4f60\u5927\u91cf\u505a\u6210\u4e8b\u7684\u673a\u4f1a&#xff0c;\u6293\u4f4f\u5b83\u7684\u65b9\u5f0f&#xff0c;\u662f\u81ea\u5df1\u8d70\u4e0a\u524d\u53bb\u8ba4\u9886\u3002<\/p>\n<hr \/>\n<h3>\u6536\u5b98&#xff1a;\u56db\u7bc7\u8fde\u8d77\u6765&#xff0c;\u8fd9\u5f20\u5730\u56fe\u957f\u4ec0\u4e48\u6837&#xff1f;<\/h3>\n<p>\u81f3\u6b64&#xff0c;\u300aAI\u5de5\u7a0b\u6280\u80fd\u5730\u56fe\u300b\u56db\u9879\u6280\u80fd\u5168\u90e8\u62c6\u89e3\u5b8c\u6bd5\u3002\u628a\u56db\u7bc7\u8fde\u8d77\u6765\u770b&#xff0c;\u6574\u5f20\u5730\u56fe\u662f\u8fd9\u6837\u7684&#xff1a;<\/p>\n<table>\n<tr>\u7bc7\u76ee\u6280\u80fd\u62c6\u89e3\u7ed3\u6784\u4e00\u53e5\u8bdd\u6838\u5fc3<\/tr>\n<tbody>\n<tr>\n<td>\u603b\u7eb2<\/td>\n<td>4 \u9879\u6280\u80fd\u603b\u89c8<\/td>\n<td>\u2014<\/td>\n<td>\u6240\u6709\u5f00\u53d1\u8005\u90fd\u9700\u8981 AI \u5de5\u7a0b\u6280\u80fd&#xff0c;\u4e0d\u53ea\u662f&#034;AI \u5de5\u7a0b\u5e08&#034;<\/td>\n<\/tr>\n<tr>\n<td>\u6df1\u89e301<\/td>\n<td>\u6784\u5efa\u548c\u90e8\u7f72 AI \u5e94\u7528<\/td>\n<td>6 \u9879\u5b50\u80fd\u529b<\/td>\n<td>AI \u8f93\u51fa\u4e0d\u53ef\u9884\u6d4b&#xff0c;\u7528\u8bc4\u6d4b\u95ed\u73af\u628a\u5b83\u6cbb\u7406\u4f4f<\/td>\n<\/tr>\n<tr>\n<td>\u6df1\u89e302<\/td>\n<td>\u8f6f\u4ef6\u5de5\u7a0b\u57fa\u7840<\/td>\n<td>5 \u4e2a\u80fd\u529b\u6a21\u5757<\/td>\n<td>AI \u8d8a\u4f1a\u5199\u4ee3\u7801&#xff0c;\u5224\u65ad trade-off \u7684\u80fd\u529b\u8d8a\u503c\u94b1<\/td>\n<\/tr>\n<tr>\n<td>\u6df1\u89e303<\/td>\n<td>\u4f7f\u7528\u7f16\u7a0b\u667a\u80fd\u4f53<\/td>\n<td>5 \u4e2a\u6838\u5fc3\u80fd\u529b<\/td>\n<td>\u4f1a\u8c03\u7528\u53ea\u662f\u8d77\u70b9&#xff0c;\u4f1a\u6307\u6325\u3001\u4f1a\u9a8c\u8bc1\u624d\u662f\u4f1a\u7528<\/td>\n<\/tr>\n<tr>\n<td>\u6df1\u89e304<\/td>\n<td>\u5b9a\u4e49\u6784\u5efa<\/td>\n<td>4 \u9879\u6280\u80fd<\/td>\n<td>\u4ece&#034;\u5b9e\u73b0\u522b\u4eba\u5b9a\u7684\u89c4\u683c&#034;\u8d70\u5411&#034;\u51b3\u5b9a\u8be5\u6784\u5efa\u4ec0\u4e48&#034;<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u770b\u5f97\u51fa\u8fd9\u6761\u4e3b\u7ebf&#xff1a;\u8d8a\u5f80\u540e&#xff0c;\u79bb&#034;\u5199\u4ee3\u7801&#034;\u8d8a\u8fdc&#xff0c;\u79bb&#034;\u51b3\u5b9a\u505a\u4ec0\u4e48\u3001\u5e76\u5bf9\u7ed3\u679c\u8d1f\u8d23&#034;\u8d8a\u8fd1\u3002 \u5434\u6069\u8fbe\u5728\u603b\u7eb2\u91cc\u5c31\u70b9\u660e\u4e86&#xff1a;\u6258\u4f4f\u8fd9\u56db\u9879\u6280\u80fd\u7684\u5e95\u5ea7\u662f\u6301\u7eed\u5b66\u4e60\u3002\u5de5\u5177\u548c\u6700\u4f73\u5b9e\u8df5\u90fd\u5728\u5feb\u901f\u53d8&#xff0c;\u5b66\u4e60\u672c\u8eab\u5c31\u662f\u4e00\u9879\u5de5\u7a0b\u6280\u80fd\u3002<\/p>\n<p>\u8fd9\u4e2a\u7cfb\u5217\u5230\u8fd9\u91cc\u544a\u4e00\u6bb5\u843d\u3002\u540e\u7eed\u5434\u6069\u8fbe\u5728 The Batch \u7684\u65b0\u5185\u5bb9&#xff0c;\u6211\u4f1a\u6301\u7eed\u8ddf\u8fdb\u3002<\/p>\n<hr \/>\n<h3>FAQ<\/h3>\n<p>Q&#xff1a;\u8fd9\u7bc7\u6df1\u89e3\u548c\u524d\u9762\u4e09\u7bc7\u662f\u4ec0\u4e48\u5173\u7cfb&#xff1f; \u6df1\u89e301 \u62c6&#034;\u6784\u5efa\u548c\u90e8\u7f72 AI \u5e94\u7528&#034;&#xff08;6 \u9879\u5b50\u80fd\u529b&#xff09;&#xff0c;\u6df1\u89e302 \u62c6&#034;\u8f6f\u4ef6\u5de5\u7a0b\u57fa\u7840&#034;&#xff08;5 \u4e2a\u80fd\u529b\u6a21\u5757&#xff09;&#xff0c;\u6df1\u89e303 \u62c6&#034;\u4f7f\u7528\u7f16\u7a0b\u667a\u80fd\u4f53&#034;&#xff08;5 \u4e2a\u6838\u5fc3\u80fd\u529b&#xff09;\u3002\u8fd9\u7bc7\u662f\u5730\u56fe\u7b2c\u56db\u9879&#034;\u5b9a\u4e49\u6784\u5efa&#034;\u7684\u8be6\u7ec6\u5c55\u5f00&#xff0c;\u4e5f\u662f\u6536\u5b98\u7bc7\u3002\u56db\u9879\u6280\u80fd\u81f3\u6b64\u5168\u90e8\u62c6\u5b8c\u3002<\/p>\n<p>Q&#xff1a;&#034;\u5b9a\u4e49\u6784\u5efa&#034;\u5230\u5e95\u662f\u4ec0\u4e48&#xff1f;\u4e00\u53e5\u8bdd\u8bf4\u6e05\u3002 \u5c31\u662f\u4ece&#034;\u62ff\u5230 spec \u53bb\u5b9e\u73b0&#034;&#xff0c;\u53d8\u6210&#034;\u53c2\u4e0e\u51b3\u5b9a spec \u91cc\u8be5\u6709\u4ec0\u4e48&#034;&#xff0c;\u5e76\u5bf9\u6784\u5efa\u7ed3\u679c\u8d1f\u8d23\u3002<\/p>\n<p>Q&#xff1a;\u5de5\u7a0b\u5e08\u8981\u8f6c\u5c97\u505a PM \u5417&#xff1f; \u4e0d\u7528\u3002\u5434\u6069\u8fbe\u7684\u539f\u610f\u662f&#xff1a;\u4f60\u4e0d\u5fc5\u6210\u4e3a PM&#xff0c;\u4f46\u8981\u80fd\u5bf9 spec \u6ca1\u8986\u76d6\u7684\u4e8b\u505a\u51b3\u7b56&#xff0c;\u6ca1\u6709 spec \u65f6\u80fd\u81ea\u5df1\u5f00\u53d1\u4e00\u4efd\u3002\u4ea7\u54c1\u611f\u3001\u8bbe\u8ba1\u611f\u3001\u5546\u4e1a\u611f\u662f\u8865\u5145&#xff0c;\u4e0d\u662f\u8f6c\u884c\u3002<\/p>\n<p>Q&#xff1a;\u56db\u9879\u6280\u80fd\u91cc&#xff0c;\u8be5\u5148\u5b66\u54ea\u4e00\u9879&#xff1f; \u6309\u603b\u7eb2\u7684\u8bf4\u6cd5&#xff0c;\u56db\u9879\u662f\u80fd\u529b\u7684\u5212\u5206&#xff0c;\u4e0d\u662f\u5b66\u4e60\u6b65\u9aa4\u3002\u4e00\u4e2a\u5e38\u89c1\u7684\u53c2\u8003\u987a\u5e8f\u662f&#xff1a;\u5148\u8865\u8f6f\u4ef6\u5de5\u7a0b\u57fa\u7840\u548c\u8bc4\u6d4b\u95ed\u73af&#xff08;01\u300102&#xff09;&#xff0c;\u518d\u7ec3\u667a\u80fd\u4f53\u534f\u4f5c&#xff08;03&#xff09;&#xff0c;\u5b9a\u4e49\u6784\u5efa&#xff08;04&#xff09;\u66f4\u591a\u9760\u5728\u771f\u5b9e\u9879\u76ee\u91cc\u6301\u7eed\u7ec3\u3002\u5e95\u5ea7\u7684\u6301\u7eed\u5b66\u4e60\u8d2f\u7a7f\u59cb\u7ec8\u3002<\/p>\n<hr \/>\n<p>\u7cfb\u5217\u6587\u8865\u5145&#xff1a;<\/p>\n<ul>\n<li>AI\u5de5\u7a0b\u6280\u80fd\u5730\u56fe&#xff1a;\u4f01\u4e1a\u6570\u5b57\u5316\u56e2\u961f\u6700\u8be5\u8865\u76844\u9879\u80fd\u529b<\/li>\n<li>\u5434\u6069\u8fbeAI\u6280\u80fd\u6df1\u89e3\u2460&#xff1a;\u6784\u5efa\u90e8\u7f72AI\u5e94\u7528&#xff0c;6\u9879\u786c\u529f\u592b\u9010\u6761\u62c6<\/li>\n<li>\u5434\u6069\u8fbeAI\u6280\u80fd\u6df1\u89e3\u2461&#xff1a;\u8f6f\u4ef6\u5de5\u7a0b\u57fa\u7840&#xff0c;\u4e3a\u4ec0\u4e48&#034;AI\u8d8a\u4f1a\u5199\u4ee3\u7801\u5b83\u8d8a\u91cd\u8981&#034;&#xff1f;<\/li>\n<li>\u5434\u6069\u8fbeAI\u6280\u80fd\u6df1\u89e3\u2462&#xff1a;\u4f7f\u7528\u7f16\u7a0b\u667a\u80fd\u4f53&#xff0c;\u201c\u4f1a\u6307\u6325\u201c\u6bd4\u201c\u4f1a\u5199\u7801\u201c\u66f4\u503c\u94b1<\/li>\n<li>\u5434\u6069\u8fbeAI\u6280\u80fd\u6df1\u89e3\u2463&#xff1a;\u5b9a\u4e49\u6784\u5efa&#xff0c;\u5de5\u7a0b\u5e08\u4e3a\u4ec0\u4e48\u4e0d\u7528\u518d\u7b49 PM&#xff1f;<\/li>\n<\/ul>\n<hr \/>\n<h3>\u9644\u5f55&#xff1a;\u539f\u6587\u901f\u67e5<\/h3>\n<p>\u539f\u6587\u51fa\u5904<\/p>\n<ul>\n<li>\u539f\u5e16&#xff1a;https:\/\/x.com\/AndrewYNg\/status\/2098459474608672916&#xff08;2026-09&#xff09;<\/li>\n<li>\u539f\u6587\u6807\u9898&#xff1a;The AI Engineering Skills Map In Detail: Shaping the Build<\/li>\n<li>\u914d\u5957\u603b\u7eb2&#xff1a;The AI Engineering Skills Map&#xff08;DeepLearning.AI\u300aThe Batch\u300b\u7b2c 366 \u671f&#xff0c;2026-08-14&#xff09;<\/li>\n<\/ul>\n<p>4 \u9879\u6280\u80fd\u4e2d\u82f1\u5bf9\u7167<\/p>\n<table>\n<tr>\u4e2d\u6587\u82f1\u6587&#xff08;\u539f\u6587\u6807\u9898&#xff09;<\/tr>\n<tbody>\n<tr>\n<td>\u9a71\u52a8\u6784\u5efa\u5faa\u73af<\/td>\n<td>Driving the build loop<\/td>\n<\/tr>\n<tr>\n<td>\u505a\u4ea7\u54c1\u51b3\u7b56<\/td>\n<td>Making product decisions<\/td>\n<\/tr>\n<tr>\n<td>\u6c9f\u901a\u4e0e\u9886\u5bfc<\/td>\n<td>Communicating and leading<\/td>\n<\/tr>\n<tr>\n<td>\u9ad8\u4e3b\u52a8\u6743\u62c5\u8d23<\/td>\n<td>High-agency ownership<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u5173\u952e\u672f\u8bed\u4e2d\u82f1\u5bf9\u7167<\/p>\n<table>\n<tr>\u4e2d\u6587\u82f1\u6587<\/tr>\n<tbody>\n<tr>\n<td>\u5b9a\u4e49\u6784\u5efa&#xff08;\u65e7\u8bd1&#xff1a;\u5851\u5f62\u6784\u5efa&#xff09;<\/td>\n<td>shaping the build<\/td>\n<\/tr>\n<tr>\n<td>\u6784\u5efa\u5faa\u73af<\/td>\n<td>build loop<\/td>\n<\/tr>\n<tr>\n<td>\u504f\u5411\u884c\u52a8<\/td>\n<td>bias for action<\/td>\n<\/tr>\n<tr>\n<td>\u539f\u578b \/ \u6700\u5c0f\u53ef\u884c\u4ea7\u54c1<\/td>\n<td>prototype \/ MVP (minimum viable product)<\/td>\n<\/tr>\n<tr>\n<td>\u5c0f\u6279\u91cf\u53d1\u5e03<\/td>\n<td>shipping in small batches<\/td>\n<\/tr>\n<tr>\n<td>\u5173\u952e\u6307\u6807<\/td>\n<td>key metrics<\/td>\n<\/tr>\n<tr>\n<td>\u4ea7\u54c1\u611f \/ \u8bbe\u8ba1\u611f \/ \u5546\u4e1a\u611f<\/td>\n<td>product sense \/ design sense \/ business sense<\/td>\n<\/tr>\n<tr>\n<td>\u8fdb\u5165\u5e02\u573a\u7b56\u7565 \/ \u5e02\u573a\u89c4\u6a21<\/td>\n<td>go-to-market \/ market size<\/td>\n<\/tr>\n<tr>\n<td>\u5355\u4f4d\u7ecf\u6d4e \/ \u635f\u76ca<\/td>\n<td>unit economics \/ P&amp;L (profit and loss)<\/td>\n<\/tr>\n<tr>\n<td>\u7528\u6237\u5171\u60c5<\/td>\n<td>user empathy<\/td>\n<\/tr>\n<tr>\n<td>\u975e\u6b63\u5f0f\u8bbf\u8c08 \/ \u95ee\u5377\u8c03\u67e5<\/td>\n<td>informal interviews \/ surveys<\/td>\n<\/tr>\n<tr>\n<td>A\/B \u6d4b\u8bd5<\/td>\n<td>A\/B tests<\/td>\n<\/tr>\n<tr>\n<td>\u5229\u76ca\u76f8\u5173\u8005<\/td>\n<td>stakeholders<\/td>\n<\/tr>\n<tr>\n<td>\u4ea7\u54c1\u7ecf\u7406<\/td>\n<td>PM (product manager)<\/td>\n<\/tr>\n<tr>\n<td>\u6280\u672f\u53ef\u884c\u6027<\/td>\n<td>technical feasibility<\/td>\n<\/tr>\n<tr>\n<td>\u9ad8\u4e3b\u52a8\u6743<\/td>\n<td>high-agency<\/td>\n<\/tr>\n<tr>\n<td>\u81ea\u4e0a\u800c\u4e0b\u7684\u6307\u4ee4<\/td>\n<td>top-down direction<\/td>\n<\/tr>\n<tr>\n<td>\u6301\u7eed\u5b66\u4e60<\/td>\n<td>continuous learning<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u5173\u952e\u539f\u53e5\u5bf9\u7167<\/p>\n<p>\u5f00\u7bc7\u5b9a\u8c03&#xff08;\u9010\u5b57\u539f\u6587&#xff09;&#xff1a;<\/p>\n<p>When you\u2019re skilled at AI Engineering, your best work won\u2019t be merely implementing a product that someone else spec\u2019ed out. Instead, you will actively shape the build.<\/p>\n<p>&#xff08;\u4e2d\u8bd1&#xff1a;\u5f53\u4f60\u7cbe\u901a AI \u5de5\u7a0b&#xff0c;\u4f60\u6700\u597d\u7684\u5de5\u4f5c\u5c06\u4e0d\u53ea\u662f\u5b9e\u73b0\u522b\u4eba\u5199\u597d\u89c4\u683c\u7684\u4ea7\u54c1\u3002\u4f60\u4f1a\u4e3b\u52a8\u53bb\u5b9a\u4e49\u6784\u5efa\u3002&#xff09;<\/p>\n<p>\u89d2\u8272\u6a21\u7cca&#xff08;\u539f\u6587\u8981\u70b9\u8f6c\u8ff0&#xff0c;\u975e\u9010\u5b57&#xff09;&#xff1a;<\/p>\n<p>\u8fc7\u53bb\u7531 PM \u548c\u8bbe\u8ba1\u5e08\u5b9a\u4e49\u4ea7\u54c1\u3001\u5f00\u53d1\u8005\u8d1f\u8d23\u5b9e\u73b0\u3001\u9879\u76ee\u7ecf\u7406\u63a8\u6392\u671f\u3002\u8fd9\u4e9b\u89d2\u8272\u7684\u8fb9\u754c\u6b63\u5728\u6a21\u7cca&#xff1a;\u4f1a AI \u5de5\u7a0b\u7684\u5f00\u53d1\u8005\u4e0d\u4ec5\u6784\u5efa\u8f6f\u4ef6&#xff0c;\u8fd8\u53c2\u4e0e\u8fd9\u4e9b\u89d2\u8272\u7684\u5de5\u4f5c&#xff1b;\u53cd\u8fc7\u6765&#xff0c;PM \u548c\u8bbe\u8ba1\u5e08\u4e5f\u5728\u5b66\u4e60 AI \u5de5\u7a0b\u6280\u80fd\u3001\u53c2\u4e0e\u6784\u5efa\u8f6f\u4ef6\u3002<\/p>\n<p>\u673a\u4f1a\u7a97\u53e3&#xff08;\u539f\u6587\u8981\u70b9\u8f6c\u8ff0&#xff0c;\u975e\u9010\u5b57&#xff09;&#xff1a;<\/p>\n<p>\u5f88\u591a\u4eba\u2014\u2014\u5305\u62ec\u4e00\u4e9b\u9ad8\u7ba1\u2014\u2014\u8fd8\u4e0d\u7406\u89e3 AI \u80fd\u505a\u4ec0\u4e48&#xff0c;\u56e0\u6b64\u5224\u65ad\u4e0d\u4e86\u4ec0\u4e48\u662f\u597d\u7684\u9879\u76ee\u65b9\u5411\u3002\u8fd9\u4e3a\u6709\u6280\u672f\u80fd\u529b\u7684\u4eba\u521b\u9020\u4e86\u6865\u6881\u673a\u4f1a&#xff1a;\u53d1\u73b0\u95ee\u9898\u3001\u63d0\u51fa\u65b9\u6848\u3001\u6267\u884c\u843d\u5730&#xff0c;\u5c0a\u91cd\u7ec4\u7ec7\u7684\u4f18\u5148\u7ea7\u548c\u7ea6\u675f&#xff0c;\u4f46\u4e0d\u7b49\u7740\u7cbe\u786e\u7684\u81ea\u4e0a\u800c\u4e0b\u6307\u4ee4\u3002<\/p>\n<p>\u63d0\u793a&#xff1a;X \u5e73\u53f0\u5728\u56fd\u5185\u8bbf\u95ee\u4e0d\u4fbf\u3002\u9700\u8981\u6838\u5bf9\u539f\u6587\u7ec6\u8282\u65f6&#xff0c;\u53ef\u628a\u539f\u5e16\u94fe\u63a5\u53d1\u7ed9\u4efb\u610f AI \u52a9\u624b\u534f\u52a9\u8f6c\u8ff0&#xff0c;\u6216\u53c2\u8003 DeepLearning.AI\u300aThe Batch\u300b\u5b98\u65b9\u680f\u76ee&#xff08;\u672c\u7bc7\u539f\u6587\u5728\u5b98\u65b9\u680f\u76ee\u6709\u5b8c\u6574\u82f1\u6587\u7248&#xff09;\u3002<\/p>\n<h3>\u53c2\u8003\u6765\u6e90<\/h3>\n<p>[1] Andrew Ng. The AI Engineering Skills Map In Detail: Shaping the Build. X \u5e16\u6587 \/ DeepLearning.AI\u300aThe Batch\u300b\u5b98\u65b9\u680f\u76ee. 2026-09.&#xff08;\u6d4f\u89c8\u91cf 47 \u4e07&#xff0c;\u8f6c\u53d1 552&#xff09; [2] Andrew Ng. The AI Engineering Skills Map. DeepLearning.AI\u300aThe Batch\u300b\u7b2c 366 \u671f \/ X \u5e16\u6587. 2026-08-14.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>TL;DR 2026-09&#xff0c;\u5434\u6069\u8fbe\u53d1\u5e03\u6280\u80fd\u5730\u56fe\u5e8f\u5217\u6587\u6536\u5b98\u7bc7&#xff1a;\u6df1\u89e3\\&#8221;\u5b9a\u4e49\u6784\u5efa\\&#8221;\u8fd9\u4e00\u9879\u88ab\u62c6\u6210 4 \u9879\u6280\u80fd&#xff1a;\u9a71\u52a8\u6784\u5efa\u5faa\u73af\u3001\u505a\u4ea7\u54c1\u51b3\u7b56\u3001\u6c9f\u901a\u4e0e\u9886\u5bfc\u3001\u9ad8\u4e3b\u52a8\u6743\u62c5\u8d23\u3002\u6838\u5fc3\u5224\u65ad&#xff1a;\u8fc7\u53bb\\&#8221;PM \u5b9a\u9700\u6c42\u3001\u5f00\u53d1\u8005\u53ea\u7ba1\u5b9e\u73b0\\&#8221;\u7684\u5206\u5de5\u6b63\u5728\u6a21\u7cca\u3002\u4f1a AI \u5de5\u7a0b\u7684\u5f00\u53d1\u8005&#xff0c;\u65e2\u5efa\u8f6f\u4ef6&#xff0c;\u4e5f\u53c2\u4e0e\u5b9a\u9700\u6c42\u3001\u6392\u4f18\u5148\u7ea7\u3002\u4e00\u4e2a\u53cd\u76f4\u89c9\u7684\u673a\u4f1a&#xff1a;\u5f88\u591a\u9ad8\u7ba1\u8fd8\u4e0d\u6e05\u695a AI \u80fd\u505a\u4ec0\u4e48\u3001\u4ec0\u4e48\u662f\u597d\u65b9\u5411\u3002\u8fd9\u7ed9\u61c2\u6280\u672f\u7684\u4eba\u7559\u4e86\u4f4d\u7f6e\u2014\u2014\u53d1\u73b0 probl<\/p>\n","protected":false},"author":2,"featured_media":105770,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[66,53,569,50,5856],"topic":[],"class_list":["post-105771","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-ai","tag-569","tag-50","tag-5856"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.3 - 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