- API
- 智能家居属性分析分类识别
POST/ai_image_single_classification/ai_house/house/v1
请求参数(Header)
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请求参数(Query)
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请求参数(Body)
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- 请求示例
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接口信息
https://jjsx.market.alicloudapi.com/ai_image_single_classification/ai_house/house/v1
POST
JSON
接口参数
请求参数(Header)
无参数
请求参数(Query)
无参数
请求参数(Body)
字段名称 | 必填 | 字段详情 |
---|---|---|
IMAGE string | Y | 图像数据,BASE64编码后进行URLENCODE,要求BASE64编码和URLENCODE后大小不超过2M,最短边至少15PX,最长边最大4096PX,支持JPG/PNG/BMP格式 实例值: data:image/jpg;base64,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K1Q/cf7tedKJ6kS391eKib5X5qVG3RcstRXH3eKgpDGlZnVd21f726rEM+1tu5f++qxXs5b1WxKyf3WVqxdS8P+JdLcXFlqyXNu3VZYtpWrjG4HfPewwJuklVf95qpXHi2yg+SFGlb+9u2rXn81n4pndcrb/N/ebbSHS9eVfniif8A2ler5C4w7ndJ4tu1/e/Z4lT+7urXtfFWnXq4mZ4n/wB3+KvLEfWbfcs9jNt/vKu6oX1KaBWeSK4ib/aRqOVl+xTPX7nVtLs13Pcb/wDZVazLnxezNssoUVf7z15idXaV9qO8vy/wo1SxPqk6/uNPmb+6zLto5WCoo77/AITJkf8Af26N/uNtq7D4l066+U74mb+8tedRWGvytzCsTf7W2p20PXmX/XRL/s0chDpo768vYVi82GVWX/erOttXt7x9olXf/d3VyEPhfXtWf7PPqEsNr/y12Nt3V0Nr4XtNDi2W7O3+0zfNUSjFEf3TYZ91O2/J92qUbsu1TVjfuTmoKB221NYxNLMiD7x+7VQNubmrX29NL+zyuy+bNcJDEu7+Jm+b/wAdrWCvIym/dPT7aJYLeKJF+VF21PTU+7Tq9KJ5YUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHD+LtN+z3Yvo1Xypvlf8A3q5dm+avVNTtYrzTpoZh8hX8q8mmRkl27t391q460LO52Yed1YlSX5uN1T7lddvzVST727+KrEbM1czOtD4VCtuq956vFsKrt/iWqZ+VqjZmZPk+9QATbVRvl+WrUCpO0CIy8/dX/P8AtVmtcMr/AHVVv4qq/bZbWXfC2z/Z3f8AoNXGRcTs106KLak7Qqxb+9/DRNodvOnE1tx/t1zcWrvcPveVt/3m3VL9sdujr/31WnMg5Z9zaXQLdZl/ew7f728VL/Z0SsqwtE+G/wCA/wCfmrnjdOn/AC1bb/F81MfXmRNkbtuo5kDjPuat5FbwbZS/3vnVdv8ADVH7RE/RdqfxVjNezXE252b/AL6q1C25ufmqJSA2IZ9ifd+9UU77l5WmR7tqsaC+7pWciCrt+X71MLNtqw/utVvvPRECaFWeVV/8erg9d17+1PE1pLbM32S1mWKJt33m3fM3/fX/AKDWr401xtG0f7FbuVvbxdu5f4Iv4m/4F92uO0NF+y2ClRua6Xb/AN9V00oWVzlqzu+U+s7Vt1rE3qi1LVez+a0h/wBxasV2ROIKKKKACiiigAooooAKKKKACiiigkKKKKCgooooAKKKKACiiigAooooAKKKKAIrj5rdx/stXii3X+kPbSFflb5G/u/7Nez3k6xWkzE/dRq8H1Jf9IZh/ermxHQ6sMtzWVv95WqzG235jWTZ3q3CeVIy+cP/AB6r0Uu1q5JHWXS3y/dqL+L+KpUbc3NBX/ZpFFaZFfrWTeRTKu5FVl/u1ueQzt821af9i3rtO6go4aa9uYG+RG/3ahXxDdo3zwr/AN9NXfN4ail+Xa1R/wDCDWkv32b/AL6q4sXPbqcP/wAJDcOy5iX/AL6qaG9uJ24T/vla7dPBFjF1WrCeHrSBvkSiTDn8znLO1mf5nWtuC3VOrVpLpyxLwtNNvs/hqBXK5TdTG+XpUrLt3fKv/fVV5n2rUgQTP/DUW9UXzX/75/vUjv8AxFqqO7O+7/vlarYDjvH+najf6ra3NtbtKnlbW2/71LoVhKkumwyROjecv3l/2q19e1FrK7tcq2x0b+KrGma9F9qiY7vkbcu5d1dkNYo4pLVnv9uuyFF/urUtcto/iqK8Rd7Izf7LV0kdxFKvDV0xOWUSWiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiimu+3+KgA3betRSy7V5batZWpeIIbJG2K0rj/vmvMPEvjXVLrdDBKIl/2FpOUUXGDZ3+uavbrby26TK0rL91WrzG8TczVS0GK7Wa4u7qWV3ddq7mrVdP4q4a07s7qMOVGBKrRdNyturUs9R89VSRtsv97+9UF5F/EFrNb5ayibuJ1kM+1uWq/G6s3FcrZ6lt+Wdv8Agf8A8VW1DcfKvzUcormsm3vV+2Rf9ndWPHPt/iar0U/zK26kDNxNqr91aczLWclx8u0NTPtDbeVq7kcpp71ZeFWmOyt1rPW6Vf4mp32xWXgrU8wcpYkfYv3lqnI6/wB6kmuFaqU10q0h8o+R1+ZjWXc3Cr8xb5aZd36xLy3zH7q1lPLLcP8APQVYnllaVv8AZ/hX+7QPu7aaFWj+P5ako5vxtbzT6dbzQNteF/8Ax1q5e21HVIF2+Tv/AOA16FqVqt7p89uf41+X/eriNP8ANguvKS42ujbdrrXZRldWOStHW5saT4ylsHVbu2lRf7yrXqHh7x1pl4iqL1Vf+67VwdozTr5VzZW9wv8AeX5Wqw2g6JdLuj82zuB/eX5a3Rg4nuem363UKujqy1pBt1eD6NreseF7r7OJVubX+H5q9d0DXrfW7RZUZVl/iSrTM5wsbtFMVt3X71PpkBRRRQAUUUUAFFFFABRRRQAUUUUAFFFNoAdRTaPu0ABbavNZkrPeu2G226feb+9U1y5upvssZP8Att/s06ZFWHyUXalAROB8RvLcXyWVqjbG/u/erk9Z06x02Zvtcyoo27U3fMzV1PjbW08KWj6tHZNcfdiZt33a8v0FLzxh4g/tjUVbyUbdFF/DurCbS1Z1Q10R2McSrCuxNi7fu09k2rVx4vk4WotlcMpXO2KsZdwm5eayp4mX5h92uhmT5vu1Qmg3K2Km5Rzr7t1WLW/ltW2/Myf3d3/oNPubfY24VUKfNWgHS22opOnyN/vL/FV2G6Xu1cau5H3BmVv9lquxai33ZFb/AHloJsdil+qr9/8A8eoa/wBzbi3/AI9XKfbW7Orf8Cp32yZW/wDsadgOn+2/N96onvV7tXN/aJm6q1O819vzuv8A31U8pRuve7f4qq3F7t+UfM/92s7z22/Ju/3qF3KvNIXKDbpX3yNuanp/u00fL/FTvm3cVJRMrfLSfeb71CL8tShKACJNy1y3iPTms7j+0YIfNT/lqir/AOPV2kUW1aJLVZU2uq7TVQnyO5lNKSscDDr2n/K8bSxPWpYeK7dLhVkdGT/aX71W5dJttOuN72iPC33vl+7V3/hH9G1RPkih5/u/w13wnGa0OVxcdxF1HTLyZfIZVct8y7vlZa7zw/YMsKzWz7ZfvLt/iWvMrzwBFEN9rLLE4+ZdrV6d4JuHuNPS3mZVuI/ut/tL96qj8RMtYnY2d4067ZF2Sj7y1fR9/X71UmgW4TcPklX+KmpOduSuJY2+Za0OY0KdTEfctLQA6iiigAooooAbRRRQAUUUUAFFFDNtWgALbaqXdwyJwu53+VFp80qxJvdvlqGzRp3+1yDb/DEv91aAJraD7PDydzn5nb/aptwypEz+n/j1WWqrMvmyqn8CfM1AonCfEKyhuvB89vc/xOr7f9rdWD4c05LWyVQiqtbHxId3XT7RW+V5t7/8Bo02LZaL8tcOIlrY9KjpC42SL+6tVGXa1asqbqz5k+auY2RTdP8Adqu6f7NXWXd8xpjrUlGHcwK1ZkkG3otdJJErf/s1nXFvuWquMxNu1uaXYrt97/x2rE0W35StQqu3ptrQBn2fd91lp6RMrbacvy9aVW+blqAHonqtTqqqu7bUAapV+b5T/wChfeqQD7zVItC7ey0u31apAPvU4UfeqZE+bcVoAkjT5aswpQifLVyGL5akJEsUG6nmL/ZqaJPlqXZ8vzVRBmzWqyptK/8AjtcrqGmzWb+bauU/2VrvBFu7VUvLJXT7tVGUoh7sjho9cvooNrytuX/Zrt/h3fvf293c7NrpL8v/ALNXL32l7H4Wus+Giqn2232ru3q+3/x2uulVu9TnrUrK6PTIWV1WVP4qW4g3/vUX5x1/2lqO3VomaL/gS1bibcvH3v4q6jgKtu+6FG3f7NWopd+5f4h96ovKVHbC/K//AKFTPmSVZf8AgL0AXaKYrbqWgB1FNooAKKKKACimF/RagkVnXc8rbf8AZoAnlnVGVR99qZu/iLfKv3mqvD8zNKf4/u+y1Bfy7mW2j/4F/wCyrQA0KdRu9p/1KfM1a3yqv+ytRWsC28Kp/F95v96nn532/wAI+9QAM+1N3/fNM27IufvfxU/77/7KVQ1S4a3sncffb5VoFE878Sz/ANpeI0Ufct/lWtW2XbCq7ar3ln9n1BVf7/lKzVfiT5K86r8Z6MPgQx19KpTRfN96r2yopYt/WszSLMl129d1R/XdV24i+Xhaz2rM1B03N96q8kC7atqvy0jLu/hWgDDuoPl4WsyWDa1dBcpu/hrLni2txVRkMzvu/wAK08L/ABbaHTbRvVaoZYRV+6Kcq7W+6tRK1P3fLUiHfKrUu6kX7u7dShdzUAPRdzVeiT5eaghTb8xWr8K7m+61SBJEny1ehSo4Yv4auCLavFBFyVFXbVmKL5fu1FDFuetFE3VpGJDkVfK+bbQ8G5fu1aKKrU3/AIDT5SeY53UbNW6LT/B/+i+KNjfdniZP+BVfvk3fNWG87addW96P+WMqu3+7/FRB2mVL3oHrO35FcfeSnH5H80fd/iot5VniSVGVkddy09PlZoj/AMBr1DyxzfOnFMRldW/vL95aUfum2/wH7tRzxNu82H/Wj/x6gB+1k6fd/u09ZedtMhlW4iVx/wACWh0V12H7396gCbdu6UVUjlZX8mZvn/hb+9VgttoAduppde7VX3q3RHanpuf+DatADw2/7q1Xlf7RL5KfcX77f+y0SztLL9ntv+Bv/dqQIsSLEn/AqABnWKJpT91arWEDPK1xJ9406bdPMsQ+4v8A6FV1FWJP9laoAdtq8feaj/VRcUJ97ef+A0N87r/dFSAbflVayr3/AEzU4rcfcj+Zq1XfYrOf7tZumru824K/fagInK6tL5viW6Uf8s0RKmj+Zfu1RiJm1rU5j/z8Mv8A3zWhD8zV50/iPQjpEH+WmP8AdqwyrTSm5fu0uUdzNuOtZ7ptbcV+WtqaDdVKaD5dpWspRNIyKO35vvUhXav3an2bf4adsZl/hqDQzZk3LxtrPli3fw1sTJVN4lbrQMxHg/2agMH+zWy8C/wrVdoPl53UxmX5VO+ZV521dZPl+7UfkbuvzVQFdFZvl21dii2r91adDb/7NWxFtXhfmqQEjT5flWr0CM3akhg/2a07eD/ZoIlII02/KasBNzfdqRE2tUwStImbkPhSrAXa33qYny0bt1WZEj/N0pu1VWm7t1B+996kUUrlaxb+BZYXTb95a3ZtrVlT/eb5ak0idX4JvftGhRW7t+9t/k/4D/DXSyf3x/DXCeGWawe1m3fJNuif/e3V3v3v92vUh8J5tVWmwO105701d23afvChPlZkP/AaHX5dw+8tMgqTf6HcLcJ/qn+V1/8AZqt/eX5G/wB2mfK6bCvyvVe1dopWtJD8yfMjf7NAFh0S4i5X/wCxquty9qTHP8zfwv8A3hVv7rbv4f4qR1DHBoAiWDa253ZttRvO9w3lWzfJ/HL/APE1E7tfu0UbMtuPvv8A3v8AZWrqqsSKgXb/AHVoAZFEkEWxF/8AsqZM/lJx99/u1MWVEZ3Zfl+81VId07+c6tz9xf8AZoAntINi8/8AfVTffb/YWj73yJ/wJqd91dq0ADNtXdTV+RP9pqG+aVV9Pmajd8zMfurQBQ1WVliS3Rvnk+WrEcS29qqDstVLUfa9Re4P3E+Vf6/5/wBmrty22JmFEgODtFX7VdsP47h//Qqux/eqou2zurqEdpWqVJ1Zq82XxHoWLyLuqXbUMTrt3bqmHzN96mSMdNy8VVeDd1Wr7f71ROvy0pRHGRizJtbhabH8/wB5av3Cbt1VUXa33aycTaMivNE3ZVqo8FbLp8tU3g3N60uUpSMswVXeL/ZrTeD1Vqha3Zei0y+Yy2g+b7tSJa/dwtaSQf7NSLat3qQ5ipFahPlNSrEu77tX/I2r92l8qgnmIYYK0Ik2r/F92ol+Wnb9zfxVcSJFgf7tPWq+/wB6DcKq8VXMRylhm2/xUzf/ALVU2nll6LSIkv8AepXK5C35u3+KkMvy8NUawM3VqkEG3ruoD3Sq77qpzNuatJ4v9mqNwiq3LUDiaOhp9s0a6hDfvbeben/oVdjpd19qsUcrtf8AiWuS8IoU1K6X+B4l3V0Fr/oGrPbn7k3zL/vfxV6NF+4cGIXvmu/y7XH8P3qfR/s0yNvl2/xCtDEZIu35v4W/8dqC5iaVFmj/ANdH8y//ABNXCu5agH7p9poAdDOtxFvH/Al9KXheHbjtVSb/AEK4+0Bf3L/fX+7/ALVXVK4z8u09KAGqqxIqoq7f4Vo+58xb/eahf7x+9/DVGZjfzfZ42/0dP9a397/ZoAXf9tfd/wAuqfd/22q0Pb7x+7TG2rtVFVUT7q1YjTb8x+8f0oAcq7V20fxNRupsv3Ng+87UANHyozn+Kq2pTtb2TY++/wAq/wC9Vv8Ai2jtWZJ/puqqn8EPzN/vf5/9CoAt2UC2tkifxbadIvmyqn8K/M1TH730qJPmVmO1Wl+7QByut6dE0v2uFWRnbbKv+1/eqgsDL0au0vLcXlo8Lj59vytXOpFuTla461LW6OyjV0sUlVl6s1SiVlX7zVa8hdv3ab5H+zWPKzW8SLz938S0jS09oNv8NMeLaKn3hqxGXVl+amMqt822nPA3bbTSjo33agsft+XaVpnlf7NSxSqy7flo37W2nbVCIvI3N3pjQL/dq3uX+9TD83WqJ5io0W2hU/2amfa1Rbm7NWbLB9q/3ahd6fsZv4qlFrtXlVoArqzNQqMzf7VXUt/m+7UwgVv4arlE5FIQM1SparVsRfNxUoTbT5SecreQq0qxfNwtWNm3rTqrlFciEXqtBT0WpaGp2JKjp8tZF38svLfLWxNtUcVk3Ks8vyKzufurSZaka3hRf31xLj5T8i1v6tCWt0uEHzxNu/3v8j+dUtBsH06yRZHV5Wl3Pt/h3L92t3ZviZK76UbQOGtK8hLaVZ7VJUbqtPf5XVh/F8rVl6W32eeayf8Agb5P93/ORWoV3IyGtTMf/vVFMm75h/DTg25N3/fVCN8zI/Xsf7y1IES7ZU2P901TSYabI0E5Yw9YzVp12S/7Jp5jjuFAkX7tAFa6nd3+zQN+9P32/uLT0RLeHyo1+Rf/AB6mRIlnC3zfN96V6he6W3tXuJ2WJf4FZtu1aoC3bLvdnP8AwGn3d0trFuP3v4a821r4mtAssOkIrNbrueV1+X/dWpvA2sav4p1iO/vpV8m2iZyiJ8u9vlH/ALNQB6REm1QOc9/rTVbdKzenyrTnban+0f8AZpoTaqp/31UgMuJ1gtXlLVX0qBordppF+eT5mqDUibi8hs0X5Wbe/wDu/wD7X/s1am3aioP4aoBkzfuv9p6p39u86L9nl2ywfMP96rpbdK3+x/6FUKrubzUXbKPvr/eqQIrO8F4jRTLsuE+8tZV4n2e7dSv+1WndWf2j/Sbdtlwn+drVm6hOtxCk23bKjbJVrOstDSlL3hm75ead91qgD7l607f8tch1EpWmbF3UbvSms23pQAeUrfw0PArL96m+bt60hnZui1Og9Sm8G1mak+Veu6rSru/iprRbl+7UcpfMQbtrfe+WnblVfvNT/K44WjZ833qYcxXlb/ZqFvmbbVtlpqxKvzVPKVzCQxfNwtXRA23ccVBHtRuFbdVrzd68bauESJSG7dvSjb/s076U2rJBl/iNSfw1F/wKjd6LQA+m7vSk3f7NK3y9GoEG7dSO/wAv3qb9FpkjKq81IxkrbV3bqs6fFaWY+23Z3St/qosfNVewsptUuG2Nst06vXRQ2tpa/wCriaWX+996uijDqzGtP7Iy2le9t5WFu0Kr80W5etaCPuRXHeot7b13r8/9xf4Vp0fyO0X8P3lrpOYoamv2W7hvh0X5X/3f/wBfNaW/cqyj/gVJcRLcWrxFQ1UdJlZoXtpG+eL5P/iT+VUBf+7P/svTLncsLNGrM6fMq0MrNF9750/2al3blVqkCGGeK8i2hl3fxL/EtMBYHaDhh0PqK8y8Ra3q3hf4g48tHspoRLb/ADFdy/NuDfRm/wDQa6LQPHthrlkZZYWjuYmKPD1x75qgNnX2K6au0kfMvSvP/iNLIb7R0LsVy3y54+7RRQJHDygfZ9Q4r1D4UAf2fe8f88v/AEFqKKSLex6DJ/rov96pP46KKRJlwf8AIZuP95f/AEGtQffoooArSf6tf+utSP8A8faUUUACf8fDVz+sgfap+P4aKKip8JdP4ijB91f92rA/hoorjOsdTh/FRRQBAadRRUjHKB6U5qKKoBH/AIaY/wB6iioYELfdp1FFBQ4/dahf4aKKZI8/cpP71FFUAv8AEtL/ABUUUCAdKX+GiigZF/eqvc/daiipA3bABdFh2jHy9q0z8tv8vHy9qKK74fCcVT4mRx/6lz39aev3oKKKokn/AI6ybX/kOy/7i/8AoTUUVQGofvNTLT/j3/76ooqQOA+KkaefoJ2LnzJecf7Fea6Lw93j/nqaKKBxP//Z |
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商品介绍
产品亮点
智能图像分析-智能家居属性分析分类识别-艾科瑞特(iCREDIT)
智能图像分析-智能家居属性分析分类识别-艾科瑞特(iCREDIT),凭借领先的人工智能与知识图谱技术,通过客观、真实的数据,创新、完善的技术解决方案,帮助企业获得敏锐的洞察力及卓越的运营能力,智能图像分析-智能家居属性分析分类识别,赋能智慧数据领域应用场景,让企业实现数字化升级;智能图像分析-智能家居属性分析分类识别,支持对家居属性分析,包含但不限于日式、潮流混搭、美式田园、美式经典、现代简约、北欧极简、欧式豪华、中式现代、地中海风格等,辨析图像中是否包含特定家居属性等
新技术必将改变企业的方方面面,您将从何处踏上数字化转型征程?至关重要的是,企业必须首先找到一家深谙业务与技术交汇融合的合作伙伴
为日新月异的中国新经济变革,将咨询、数字和技术等领域的独到服务应用于行业领域,助力客户应对最严峻的挑战
关键词:智能家居属性分析分类识别、自然语言处理、企业知识图谱、NLP、深度学习、人工智能、AI、DEEP LEARNING
产品说明
智能图像分析-智能家居属性分析分类识别-艾科瑞特(iCREDIT)
智能图像分析-智能家居属性分析分类识别-艾科瑞特(iCREDIT),凭借领先的人工智能与知识图谱技术,通过客观、真实的数据,创新、完善的技术解决方案,帮助企业获得敏锐的洞察力及卓越的运营能力,智能图像分析-智能家居属性分析分类识别,赋能智慧数据领域应用场景,让企业实现数字化升级;智能图像分析-智能家居属性分析分类识别,支持对家居属性分析,包含但不限于日式、潮流混搭、美式田园、美式经典、现代简约、北欧极简、欧式豪华、中式现代、地中海风格等,辨析图像中是否包含特定家居属性等
新技术必将改变企业的方方面面,您将从何处踏上数字化转型征程?至关重要的是,企业必须首先找到一家深谙业务与技术交汇融合的合作伙伴
为日新月异的中国新经济变革,将咨询、数字和技术等领域的独到服务应用于行业领域,助力客户应对最严峻的挑战
关键词:智能家居属性分析分类识别、自然语言处理、企业知识图谱、NLP、深度学习、人工智能、AI、DEEP LEARNING
产品参数
交付方式 | API |
开票主体 | 深圳艾科瑞特科技有限公司 |
所属类目 | AI应用与OCR |
上架日期 | 2020-04-20 |
产品截图
售后支持范围
工作日:周一至周五【每天10:30-17:00】 技术支持钉钉号:icredit【备注:阿里云市场】 技术支持电话:0532-88984128
产品资质
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商品价格(此处价格仅供参考,实际价格以选配后的价格为准)
版本名称 | 计费项 | 新购 |
0.01元/1次 | 版本基础价格 | 0.01元 |
998元/10万次 | 版本基础价格 | 998元 |
1998元/20万次 | 版本基础价格 | 1998元 |
4998元/50万次 | 版本基础价格 | 4998元 |
9998元/100万次 | 版本基础价格 | 9998元 |
私有化授权费-29998元/次【不限制装机量】 | 版本基础价格 | 29998元 |
私有化模型更新费-4998元/年 | 版本基础价格 | 4998元 |
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深圳艾科瑞特科技有限公司
艾科瑞特科技(iCREDIT)集团面向全球提供人工智能(AI)与大数据(BIG DATA)解决方案,通过其旗下品牌服务全球顶尖投资银行、基金公司以及众多世界五百强企业,素有全华尔街都在使用的中国标准之称。企业拥有众多深受信赖的优质、领先品牌,包括艾科瑞特(iCREDIT)、超验(iTRANSCEND)、玄机(iTHEORY)、泰始明昌(TAISHIMINGCHANG)等等;艾科瑞特在全球近约近三百个国家和地区开展业务
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邮箱:market@icredit.link 官方钉钉与微信:17060450860入住时间:2017-09-30
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智胜危机,思变未来,数字化转型刻不容缓,这是我们智能家居行业在当下经济环境,最深刻的感受;基于艾科瑞特(iCREDIT)人工智能数据中台与企业知识图谱,使我们可以利用智能图像分析简化传统业务流,加速企业内部流程数字化步伐;企业数字化转型中存在诸多的不确定性与定制化服务,艾科瑞特的小伙伴总能创新性、敏捷的拿出新的解决方案,帮助我们完善业务流程;艾科瑞特智能图像分析的创新性与敏捷性一直以来为我们内部津津乐道,感慨一家公司为什么可以做到这么快,这么迅速,这么具有创新性,这是我们与艾科瑞特携手的主要原因;与先知者艾科瑞特(iCREDIT)一道,让企业业绩长青
数字变革,智能家居面临新技术、新消费者、新舆论、新竞争者和其他新兴力量的挑战,我们需要占据领先地位,来引领变革;依托艾科瑞特(iCREDIT)人工智能数据中台与企业知识图谱,使我们具备对企业信息数字化迭代的能力,通过对智能图像分析的使用,增了业务流的数字能力,提升整体运行效率;企业解决方案往往需要深厚的行业背景,艾科瑞特的专业性让我们重新认知所在行业,而且数字化转型路径解决方案,更是让我们有了明确的转型路线图;艾科瑞特智能图像分析的创新性与敏捷性一直以来为我们内部津津乐道,感慨一家公司为什么可以做到这么快,这么迅速,这么具有创新性,这是我们与艾科瑞特携手的主要原因;与先知者艾科瑞特(iCREDIT)一道,让企业业绩长青
数字化变革十分重要,对智能家居行业而言更为,传统行业业务流、效率、多方体验、协作沟通方面存在很多领域都需要进行数字化变革;得益于艾科瑞特(iCREDIT)人工智能数据中台与企业知识图谱,使我们在利用智能图像分析上,实现对现有业务流的的加速与优化;企业的数字化转型的过程中合作伙伴的赋能能力甚为重要,及时响应,快速行动,不仅需要合作伙伴对行业领域具备深厚的功底,同时了解客户确切需求,艾科瑞特的小伙伴们的服务专业性,给我们留下非常深刻的印象;好产品的定义是具有创新与敏捷,创新的目标不断迭代满足客户的需求,敏捷的目的是能为客户需求下做出快速的反映,艾科瑞特的智能图像分析产品恰恰做到这些,这也是我们选择艾科瑞特作为我们合作伙伴的重要原因;三人之行必有我师,对企业而言,这三人分别是企业自己、客户和艾科瑞特(iCREDIT),让企业业绩长青
人工智能与企业知识图谱正在颠覆开展业务的方式,始终跟上最新技术突破的步伐,弄清楚如何将其应用于自己的企业,引领智能家居行业变革,这一点正变得越来越重要;基于艾科瑞特(iCREDIT)人工智能数据中台与企业知识图谱,使我们可以利用智能图像分析简化传统业务流,加速企业内部流程数字化步伐;企业数字化转型中存在诸多的不确定性与定制化服务,艾科瑞特的小伙伴总能创新性、敏捷的拿出新的解决方案,帮助我们完善业务流程;艾科瑞特的智能图像分析具备高稳定性、高响应性、高创新性,不仅满足我们现阶段需求,同时延展了我们业务线,使我们能够更好的服务我们的客户;与艾科瑞特(iCREDIT)同行,思变未来,应新于时,让您的企业业绩长青
利用新数字技术成功构建智慧业务,让企业具备智能化管理与运营,实现企业不断迭代升级,这对目前智能家居行业企业而言,具备划时代的意义;在艾科瑞特(iCREDIT)人工智能数据中台和企业知识图谱的基础上,使我们具备了数字化转型的底气和能力,智能图像分析的使用提升整体业务流能力,提速业务流转;在数字化转型过程,由于我们对预期的不明确,一直以来,艾科瑞特的小伙伴们为我们解疑答惑,帮助我们梳理业务流程,设计完备的数字化转型路线图;艾科瑞特智能图像分析的创新性与敏捷性一直以来为我们内部津津乐道,感慨一家公司为什么可以做到这么快,这么迅速,这么具有创新性,这是我们与艾科瑞特携手的主要原因;与艾科瑞特(iCREDIT)合作,让我们意识到数字化转型过程,好的合作伙伴的重要性,艾科瑞特(iCREDIT)让企业业绩长青
新环境下,对线上销售还是对线下销售,都要求企业具备全流程、全业态的数字化能力,使我们具备对企业运营状态全局掌握,这不仅是智能家居企业运营者所追求,也是其他行业领域运营者的共识;基于艾科瑞特(iCREDIT)人工智能数据中台与企业知识图谱,使我们可以利用智能图像分析简化传统业务流,加速企业内部流程数字化步伐;企业数字化转型中存在诸多的不确定性与定制化服务,艾科瑞特的小伙伴总能创新性、敏捷的拿出新的解决方案,帮助我们完善业务流程;用什么言语来评价一款好的产品,最恰到的词汇莫过于创新、稳定、高效,艾科瑞特小伙伴创造的智能图像分析让我们重新认知数字化转型过程,产品是可以做到如此的具有创新性、高效性和敏捷性;正因为有了艾科瑞特(iCREDIT)的支持,让我们对数字化转型更加明晰,与不凡者同行,让企业业绩长青
众多企业利用云技术,加速数字化转型,获得竞争优势,同时寻找使用数据、AI基于艾科瑞特(iCREDIT)人工智能数据中台与企业知识图谱,使我们可以利用智能图像分析简化传统业务流,加速企业内部流程数字化步伐;企业数字化转型中存在诸多的不确定性与定制化服务,艾科瑞特的小伙伴总能创新性、敏捷的拿出新的解决方案,帮助我们完善业务流程;用什么言语来评价一款好的产品,最恰到的词汇莫过于创新、稳定、高效,艾科瑞特小伙伴创造的智能图像分析让我们重新认知数字化转型过程,产品是可以做到如此的具有创新性、高效性和敏捷性;正因为有了艾科瑞特(iCREDIT)的支持,让我们对数字化转型更加明晰,与不凡者同行,让企业业绩长青
应新于时,利用数字创新驱动新价值,这是智能家居领域所必需采取的行动;基于艾科瑞特(iCREDIT)人工智能数据中台与企业知识图谱,使我们可以利用智能图像分析简化传统业务流,加速企业内部流程数字化步伐;企业的数字化转型的过程中合作伙伴的赋能能力甚为重要,及时响应,快速行动,不仅需要合作伙伴对行业领域具备深厚的功底,同时了解客户确切需求,艾科瑞特的小伙伴们的服务专业性,给我们留下非常深刻的印象;艾科瑞特的智能图像分析具备高稳定性、高响应性、高创新性,不仅满足我们现阶段需求,同时延展了我们业务线,使我们能够更好的服务我们的客户;与艾科瑞特(iCREDIT)合作,让我们意识到数字化转型过程,好的合作伙伴的重要性,艾科瑞特(iCREDIT)让企业业绩长青
智能家居领域数字化转型,面临诸多的难题,需要的不仅是一套软件或是一套系统,而是企业整体的数字化能力体现;基于艾科瑞特(iCREDIT)人工智能数据中台与企业知识图谱,使我们可以利用智能图像分析简化传统业务流,加速企业内部流程数字化步伐;企业的数字化转型的过程中合作伙伴的赋能能力甚为重要,及时响应,快速行动,不仅需要合作伙伴对行业领域具备深厚的功底,同时了解客户确切需求,艾科瑞特的小伙伴们的服务专业性,给我们留下非常深刻的印象;艾科瑞特智能图像分析的创新性与敏捷性一直以来为我们内部津津乐道,感慨一家公司为什么可以做到这么快,这么迅速,这么具有创新性,这是我们与艾科瑞特携手的主要原因;三人之行必有我师,对企业而言,这三人分别是企业自己、客户和艾科瑞特(iCREDIT),让企业业绩长青
永不自满,拥抱数字变革,是智能家居行业企业与从业人员由始至终都必有的状态;艾科瑞特(iCREDIT)企业知识图谱与人工智能数据中台,在使用智能图像分析的基础上,让我们缩减了内部流程,加速内部创新与迭代;企业服务的核心在于服务,服务的本质是对客户的理解,为客户去定制属于自己的解决方案,艾科瑞特的小伙伴们所做到的远超这些,服务专业性能力非同一般;用什么言语来评价一款好的产品,最恰到的词汇莫过于创新、稳定、高效,艾科瑞特小伙伴创造的智能图像分析让我们重新认知数字化转型过程,产品是可以做到如此的具有创新性、高效性和敏捷性;感谢艾科瑞特(iCREDIT)小伙伴的支持,让我们快速实现业务流数字化,让企业业绩长青