{"id":1119702,"date":"2026-03-24T15:47:43","date_gmt":"2026-03-24T15:47:43","guid":{"rendered":"https:\/\/www.artefact.com\/?post_type=blog&p=1119702"},"modified":"2026-04-28T10:06:42","modified_gmt":"2026-04-28T09:06:42","slug":"artefact-white-paper-people-analytics-beyond-turnover-prediction-potential-applications-of-ai-in-hr","status":"publish","type":"blog","link":"https:\/\/www.artefact.com\/zh\/blog\/artefact-white-paper-people-analytics-beyond-turnover-prediction-potential-applications-of-ai-in-hr\/","title":{"rendered":"\u4eba\u5458\u5206\u6790\u8d85\u8d8a\u79bb\u804c\u9884\u6d4b\uff1aAI \u5728\u4eba\u529b\u8d44\u6e90\u9886\u57df\u7684\u6f5c\u5728\u5e94\u7528"},"content":{"rendered":"

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    \n
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      \n
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      • \u5927\u578b\u996e\u6599\u516c\u53f8\uff08\u52b3\u52a8\u529b\u5065\u5eb7\uff09\uff1a<\/strong> \u4ec5\u5728\u8bd5\u70b9\u9636\u6bb5\uff0c\u8be5\u7ec4\u7ec7\u5c31\u53d6\u5f97\u4e86\u4ee5\u4e0b\u6210\u679c \u8282\u7701 459,000 \u7f8e\u5143<\/strong>. .\u901a\u8fc7\u4f7f\u7528 ML \u63d0\u524d\u4e09\u4e2a\u6708\u9884\u6d4b\u7f3a\u52e4\u60c5\u51b5\uff0c\u4ed6\u4eec\u5236\u5b9a\u4e86 46 \u9879\u79ef\u6781\u4e3b\u52a8\u7684\u884c\u52a8\u8ba1\u5212\uff0c\u4ee5\u51cf\u8f7b\u804c\u4e1a\u5026\u6020\u548c\u75be\u75c5\u3002.<\/li>\n
      • \u5168\u7403\u5316\u5986\u54c1\u516c\u53f8\uff08Salesforce \u5206\u914d\uff09\uff1a<\/strong> \u901a\u8fc7\u4f7f\u7528 ML \u805a\u7c7b\u548c\u8fd0\u8425\u7814\u7a76\uff0c\u8be5\u7ec4\u7ec7\u4f18\u5316\u4e86\u5546\u5e97\u8986\u76d6\u8303\u56f4\u548c\u4efb\u52a1\u5206\u914d\u3002\u901a\u8fc7\u6839\u636e\u5e02\u573a\u9700\u6c42\u5bf9\u5730\u70b9\u548c\u4efb\u52a1\u8fdb\u884c\u667a\u80fd\u5206\u7ec4\uff0c\u4ed6\u4eec\u83b7\u5f97\u4e86\u4ee5\u524d\u5c1a\u672a\u5f00\u53d1\u7684\u5de8\u5927\u6536\u5165\u6f5c\u529b\u3002.<\/li>\n
      • \u5fae\u8f6f\uff08DEI \u548c\u4ee3\u8868\uff09\uff1a<\/strong> \u5229\u7528 data-driven \u95ee\u8d23\u5236\uff0c\u5fae\u8f6f\u5728\u4e00\u5e74\u5185\u5c31\u5b9e\u73b0\u4e86\u5973\u6027\u9ad8\u7ba1\u6bd4\u4f8b 3.2 \u4e2a\u767e\u5206\u70b9\u7684\u589e\u957f\u3002\u91cd\u8981\u7684\u662f\uff0c\u516c\u53f8\u8fbe\u5230\u4e86 \u5b9e\u73b0 2025 \u5e74\u9886\u5bfc\u76ee\u6807\u7684 107.8%<\/strong> \u9ed1\u4eba\u548c\u975e\u88d4\u7f8e\u56fd\u4eba\u7684\u4ee3\u8868\u6027\u3002.<\/li>\n
      • \u6234\u5c14\u6280\u672f\u516c\u53f8\uff08HiPo \u6807\u8bc6\uff09\uff1a<\/strong> \u901a\u8fc7\u91c7\u7528\u57fa\u4e8e ML \u7684 \u201c\u6574\u4f53\u4eba\u624d\u89c2\u201d\uff0c\u6234\u5c14\u7ed5\u8fc7\u4e86\u7ba1\u7406\u8005\u7684\u4e3b\u89c2\u504f\u89c1\uff0c\u62a5\u544a\u4e86 300% \u589e\u52a0<\/strong> \u4e3a\u9886\u5bfc\u529b\u53d1\u5c55\u53d1\u6398\u591a\u6837\u5316\u3001\u9ad8\u6f5c\u529b\u7684 \u201c\u9690\u85cf\u7470\u5b9d\u201d\u3002.<\/li>\n<\/ul>\n

        \u867d\u7136\u8fd9\u4e9b\u6210\u679c\u4ee4\u4eba\u4fe1\u670d\uff0c\u4f46\u53ea\u6709\u5efa\u7acb\u5728\u9053\u5fb7\u7ba1\u7406\u548c\u4e0d\u59a5\u534f\u7684\u4fe1\u4efb\u57fa\u7840\u4e0a\uff0c\u8fd9\u4e9b\u6210\u679c\u624d\u80fd\u6301\u4e45\u3002.<\/p>\n

        \u4fe1\u4efb\u7684\u57fa\u7840\uff1a\u9053\u5fb7\u3001\u5b89\u5168\u4e0e\u5408\u89c4<\/h2>\n

        \u5bf9\u4e8e C-suite \u800c\u8a00\uff0c\u4eba\u5de5\u667a\u80fd\u4f26\u7406\u4e0d\u662f\u4e00\u4e2a\u9053\u5fb7\u5efa\u8bae\uff0c\u800c\u662f\u98ce\u9669\u7ba1\u7406\u7684\u5f53\u52a1\u4e4b\u6025\u3002\u7531\u4e8e\u4eba\u5458\u5206\u6790\u6d89\u53ca\u654f\u611f\u7684\u4e2a\u4eba\u8eab\u4efd\u4fe1\u606f\uff08PII\uff09\uff0c\u4fdd\u62a4\u5458\u5de5\u7684\u4fe1\u4efb\u5bf9\u54c1\u724c\u58f0\u8a89\u81f3\u5173\u91cd\u8981\u3002\u767d\u76ae\u4e66\u4e3b\u5f20 \u7efc\u5408\u4fe1\u6258\u6846\u67b6<\/strong> \u5efa\u7acb\u5728\u4e94\u4e2a\u5173\u952e\u5c42\u9762\u4e0a\uff1a<\/p>\n

          \n
        • \u5168\u7403 data \u4fdd\u62a4\uff1a<\/strong> \u9075\u5b88 GDPR \u548c LGPD \u662f\u5e95\u7ebf\u3002\u4e0d\u5408\u89c4\u7684\u98ce\u9669\u5f88\u9ad8\uff0c\u7f5a\u6b3e\u53ef\u8fbe \u5360\u5168\u7403\u8425\u4e1a\u989d\u7684 4%<\/strong>.<\/li>\n
        • \u9053\u5fb7\u539f\u5219\uff1a<\/strong> \u7ec4\u7ec7\u5fc5\u987b\u8d85\u8d8a\u9ed1\u7bb1\u3002\u8981\u786e\u4fdd\u5458\u5de5\u7406\u89e3\u4eba\u5de5\u667a\u80fd\u9a71\u52a8\u51b3\u7b56\u80cc\u540e\u7684\u903b\u8f91\uff0c\u5c31\u9700\u8981\u900f\u660e\u5ea6\u548c\u53ef\u89e3\u91ca\u6027\uff08XAI\uff09\u3002.<\/li>\n
        • \u7ba1\u7406\u548c\u8de8\u804c\u80fd\u89d2\u8272\uff1a<\/strong> \u6709\u6548\u7684\u4eba\u5de5\u667a\u80fd\u90e8\u7f72\u8981\u6c42\u6cd5\u5f8b\u3001\u4eba\u529b\u8d44\u6e90\u5206\u6790\u548c\u5408\u89c4\u4e4b\u95f4\u4fdd\u6301\u4e00\u81f4\uff0c\u4ee5\u9632\u6b62 \u201c\u529f\u80fd\u6500\u5347\u201d\u3002\u201d<\/li>\n
        • \u6280\u672f\u4fdd\u969c\uff1a<\/strong> \u5b9e\u65bd \u201c\u9690\u79c1\u8bbe\u8ba1\u201d\u3001\u52a0\u5bc6\u548c\u57fa\u4e8e\u89d2\u8272\u7684\u8bbf\u95ee\u63a7\u5236\uff08RBAC\uff09\u53ef\u786e\u4fdd data \u7684\u6700\u5c0f\u5316\u548c\u5b89\u5168\u6027\u3002.<\/li>\n
        • \u6301\u7eed\u76d1\u7763\uff1a<\/strong> \u901a\u8fc7\u5b9a\u671f\u5ba1\u8ba1\u548c\u4ee5\u4eba\u4e3a\u672c\u7684\u95ee\u8d23\u5236\u6765\u7ef4\u62a4\u4fe1\u4efb\u6587\u5316\u3002.<\/li>\n<\/ul>\n

          \u201c\u4eba\u5de5\u667a\u80fd\u5fc5\u987b\u589e\u5f3a\u800c\u4e0d\u662f\u53d6\u4ee3\u4eba\u7c7b\u7684\u5224\u65ad\u529b\u3002\u91cd\u5927\u4eba\u4e8b\u51b3\u7b56\u7684\u6700\u7ec8\u8d23\u4efb\u3002\u8058\u7528\u3001\u664b\u5347\u548c\u89e3\u8058\u5fc5\u987b\u59cb\u7ec8\u7531\u4eba\u8d1f\u8d23\u201d\u3002\u201d<\/em><\/p>\n

          \u4fe1\u4efb\u662f\u6700\u7ec8\u7684\u8d27\u5e01\u3002\u901a\u8fc7\u4f18\u5148\u8003\u8651\u4eba\u5de5\u76d1\u7763\u548c\u51cf\u5c11\u504f\u89c1\uff0c\u9886\u5bfc\u8005\u53ef\u4ee5\u786e\u4fdd\u4eba\u5de5\u667a\u80fd\u59cb\u7ec8\u662f\u4e00\u79cd\u8d4b\u6743\u5de5\u5177\uff0c\u800c\u4e0d\u662f\u4e00\u79cd\u4e0d\u900f\u660e\u7684\u81ea\u52a8\u63a7\u5236\u673a\u5236\u3002.<\/p>\n

          \u4ece\u8bd5\u70b9\u5230\u5168\u9762\u5f71\u54cd\u7684\u5b9e\u65bd\u8def\u7ebf\u56fe<\/h2>\n

          \u4ece\u771f\u6b63\u7684\u4e1a\u52a1\u95ee\u9898\u5165\u624b\uff0c\u800c\u4e0d\u662f\u4ece\u6280\u672f\u5165\u624b\uff1a<\/strong> \u4e0d\u8981\u95ee \u201c\u6211\u4eec\u80fd\u7528\u4eba\u5de5\u667a\u80fd\u505a\u4ec0\u4e48\uff1f\u800c\u662f\u8981\u95ee\uff1a\u201d\u6211\u4eec\u6700\u7d27\u8feb\u7684\u4e0e\u4eba\u76f8\u5173\u7684\u6311\u6218\u662f\u4ec0\u4e48\uff1f\u201c<\/p>\n

          \u5efa\u7acb\u8de8\u804c\u80fd\u56e2\u961f\uff1a<\/strong> \u4e00\u4e2a\u6210\u529f\u7684\u4eba\u5458\u5206\u6790\u9879\u76ee\u9700\u8981\u7684\u4e0d\u4ec5\u4ec5\u662f\u4eba\u529b\u8d44\u6e90\u90e8\u95e8\u3002\u8ba9 IT\uff08data \u57fa\u7840\u8bbe\u65bd\uff09\u3001\u6cd5\u5f8b\uff08\u5408\u89c4\u6027\u548c\u9053\u5fb7\u76d1\u7763\uff09\u3001\u8d22\u52a1\uff08\u8861\u91cf\u4e1a\u52a1\u5f71\u54cd\uff09\u548c\u4e1a\u52a1\u90e8\u95e8\u672c\u8eab\u7684\u5229\u76ca\u76f8\u5173\u8005\u53c2\u4e0e\u8fdb\u6765\u3002.<\/p>\n

          \u6ce8\u91cd data foundation \u548c data \u7684\u8d28\u91cf\uff1a<\/strong> \u4eba\u5de5\u667a\u80fd\u6a21\u578b\u7684\u597d\u574f\u53d6\u51b3\u4e8e\u5176\u8bad\u7ec3\u7684 data\u3002\u5728\u542f\u52a8\u4e00\u9879\u91cd\u5927\u8ba1\u5212\u4e4b\u524d\uff0c\u8bf7\u8fdb\u884c data \u5ba1\u8ba1\u3002\u786e\u4fdd\u60a8\u7684 data \u662f\u5e72\u51c0\u3001\u4e00\u81f4\u3001\u96c6\u6210\u548c\u53ef\u8bbf\u95ee\u7684\u3002.<\/p>\n

          \u4f18\u5148\u8003\u8651\u900f\u660e\u5ea6\u548c\u6c9f\u901a\uff1a<\/strong> \u5411\u5458\u5de5\u516c\u5f00\u60a8\u662f\u5982\u4f55\u4f7f\u7528 data \u548c\u4eba\u5de5\u667a\u80fd\u7684\u3002\u89e3\u91ca\u60a8\u7684\u4e3e\u63aa\u80cc\u540e\u7684 \u201c\u539f\u56e0\u201d\u3001\u60a8\u5e0c\u671b\u5b9e\u73b0\u7684\u6548\u76ca\uff0c\u4ee5\u53ca\u60a8\u4e3a\u4fdd\u62a4\u5458\u5de5\u9690\u79c1\u548c\u786e\u4fdd\u516c\u5e73\u800c\u91c7\u53d6\u7684\u6709\u529b\u4fdd\u969c\u63aa\u65bd\u3002\u521b\u5efa \u201c\u8d85\u7ea7\u7528\u6237\u201d<\/strong>, \u6211\u4eec\u9700\u8981\u6709\u70ed\u60c5\u7684\u5458\u5de5\uff0c\u80fd\u591f\u5728\u56e2\u961f\u4e2d\u5021\u5bfc\u65b0\u7684\u5de5\u5177\u548c\u65b9\u6cd5\u3002.<\/p>\n

          \u4ece\u8bd5\u70b9\u9879\u76ee\u5f00\u59cb\uff0c\u4ee5\u8bc1\u660e\u5176\u4ef7\u503c\uff1a<\/strong> \u4ece\u5c0f\u5904\u7740\u624b\uff0c\u5feb\u901f\u5b66\u4e60\u5e76\u8bc1\u660e\u6295\u8d44\u56de\u62a5\u7387\u3002\u9009\u62e9\u4e00\u4e2a\u5b9a\u4e49\u660e\u786e\u7684\u7528\u4f8b\uff0c\u5e76\u5236\u5b9a\u660e\u786e\u3001\u53ef\u8861\u91cf\u7684\u6210\u529f\u6307\u6807\u3002\u6210\u529f\u7684\u8bd5\u70b9\u5c06\u4e3a\u66f4\u5e7f\u6cdb\u7684\u6295\u8d44\u63d0\u4f9b\u6709\u529b\u7684\u652f\u6301\u3002.
          \n\u63d0\u9ad8\u4eba\u529b\u8d44\u6e90\u56e2\u961f\u7684\u6280\u80fd\uff1a\u6295\u8d44\u57f9\u8bad\uff0c\u4f7f\u4ed6\u4eec\u80fd\u591f\u7406\u89e3\u3001\u89e3\u91ca\u548c\u4ea4\u6d41 data-driven \u89c1\u89e3\u3002\u8fd9\u5c06\u6210\u4e3a\u6280\u672f\u4e0e\u5b9e\u9645\u5e94\u7528\u4e4b\u95f4\u7684\u6865\u6881\u3002.<\/p>\n

          \u7ed3\u8bba\uff1a\u672a\u6765\u662f\u4eba\u7c7b\u7684+\u4ee3\u7406\u7684<\/h2>\n

          \u5728\u4eba\u529b\u8d44\u6e90\u9886\u57df\u91c7\u7528\u4eba\u5de5\u667a\u80fd\u7684\u8def\u7ebf\u56fe\u5f88\u6e05\u6670\uff1a\u7528\u5b89\u5168\u7684\u5de5\u5177\u8d4b\u4e88\u4e2a\u4eba\u80fd\u529b\uff0c\u4e13\u6ce8\u4e8e\u80fd\u8bc1\u660e\u5373\u65f6\u6295\u8d44\u56de\u62a5\u7387\u7684\u9ad8\u6548\u8bd5\u70b9\uff0c\u5e76\u901a\u8fc7\u6301\u7eed\u5b66\u4e60\u7684\u6587\u5316\u6765\u6269\u5927\u89c4\u6a21\u3002.<\/p>\n

          \u901a\u8fc7\u4f7f\u7528\u4ee3\u7406\u4eba\u5de5\u667a\u80fd\uff0c\u5efa\u7acb\u4e00\u4e2a \u66f4\u667a\u80fd\u3001\u66f4\u4e3b\u52a8\u3001\u4ee5\u5458\u5de5\u4e3a\u4e2d\u5fc3\u7684\u751f\u6001\u7cfb\u7edf<\/strong>, \u56e0\u6b64\uff0c\u5de5\u4f5c\u7684\u672c\u8d28\u88ab\u91cd\u65b0\u5b9a\u4e49\u3002\u4f01\u4e1a\u7684\u672a\u6765\u4e0d\u662f\u5728\u4eba\u7c7b\u667a\u80fd\u548c artificial intelligence \u4e4b\u95f4\u505a\u51fa\u9009\u62e9\uff0c\u800c\u662f\u4e24\u8005\u7684\u5f3a\u5927\u7efc\u5408\u3002\u5728\u8fd9\u4e2a \u4eba\u7c7b+\u4ee3\u7406\u7684\u672a\u6765<\/strong>, \u6280\u672f\u5904\u7406\u590d\u6742\u6027\uff0c\u800c\u4eba\u5219\u4e13\u6ce8\u4e8e\u540c\u7406\u5fc3\u3001\u521b\u9020\u529b\u548c\u6218\u7565\u5224\u65ad\u529b\u7b49\u4eba\u7c7b\u72ec\u6709\u7684\u54c1\u8d28\u3002.<\/p>","protected":false},"excerpt":{"rendered":"

          \u4eba\u529b\u8d44\u6e90\u90e8\u95e8\u6b63\u5728\u7ecf\u5386\u4ece\u88ab\u52a8\u7684\u6210\u672c\u4e2d\u5fc3\u5230\u4e3b\u52a8\u7684\u4ef7\u503c\u9a71\u52a8\u529b\u7684\u6839\u672c\u6027\u8f6c\u53d8\u3002\u7136\u800c\uff0c\u8bb8\u591a\u7ec4\u7ec7\u5728\u4eba\u5458\u5206\u6790\u65b9\u9762\u4ecd\u505c\u7559\u5728\u6700\u4f4e\u9650\u5ea6\u7684\u65b9\u6cd5\u4e0a\u3002\u867d\u7136\u751f\u6210\u5f0f AI \u548c\u81ea\u4e3b\u4ee3\u7406\u5728\u6574\u4e2a\u4f01\u4e1a\u4e2d\u8d8a\u6765\u8d8a\u53d7\u5230\u91cd\u89c6\uff0c\u4f46\u4eba\u529b\u8d44\u6e90\u90e8\u95e8\u5bf9 data \u7684\u4f7f\u7528\u4ecd\u5f80\u5f80\u5c40\u9650\u4e8e\u57fa\u672c\u7684\u4eba\u5458\u6d41\u52a8\u9884\u6d4b\u3002.<\/p>","protected":false},"featured_media":1148545,"parent":0,"template":"","meta":{"_acf_changed":false,"ep_exclude_from_search":false},"blog-category":[2995],"blog-language":[2991],"class_list":["post-1119702","blog","type-blog","status-publish","has-post-thumbnail","hentry","blog-category-ai-technology","blog-language-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.artefact.com\/zh\/wp-json\/wp\/v2\/blog\/1119702","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.artefact.com\/zh\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.artefact.com\/zh\/wp-json\/wp\/v2\/types\/blog"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.artefact.com\/zh\/wp-json\/wp\/v2\/media\/1148545"}],"wp:attachment":[{"href":"https:\/\/www.artefact.com\/zh\/wp-json\/wp\/v2\/media?parent=1119702"}],"wp:term":[{"taxonomy":"blog-category","embeddable":true,"href":"https:\/\/www.artefact.com\/zh\/wp-json\/wp\/v2\/blog-category?post=1119702"},{"taxonomy":"blog-language","embeddable":true,"href":"https:\/\/www.artefact.com\/zh\/wp-json\/wp\/v2\/blog-language?post=1119702"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}