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최고의 AI를 위해서는 최고의 데이터가 필요하다

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id="SE-04049568-6e48-4392-b73f-49ea3d2c6b75"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-e32a9d2d-71f1-4257-8c0e-99cd1bfd7471">​</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-97daed8f-6ec9-41dc-bc3e-451b044dc9be"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-6da64da7-496b-4804-b9c9-dc5777c29eb7">안녕하세요...까발스 구독자 여러분</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-5d5687db-ae9a-4d33-93f8-fb1d5c73064e"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-ad80b738-94c5-485e-a5d4-98ba887ebad2">​</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-379b8eb4-6517-4af6-a95f-7a70f1b375f3"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-45389f86-daf6-479d-b8a7-a4f46ff55355">인공지능과 빅데이터는 이제 뗄래야 뗄 수 없는 관계가 되었습니다. 빅데이터를 가진 업체가 AI도 잘하는 시대인 것이죠.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-4f597e6e-fd80-4940-b4da-5a3fda72dec4"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-45efeb0c-fdc5-404e-a8c7-90d36dc69b96">​</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-b1f97237-3b8c-4e44-b0dc-87cb95992ab3"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-e86e9fe8-9728-4860-8be4-4c1bdfa88edd">2012년, 딥러닝의 압도적인 성능을 증명한 역사적인 사건이 발생했습니다.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-74d2a919-515f-4b36-befe-de1b2fddfe35"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-6c32c190-b732-4162-8e7e-e5cd6539ccf3">​</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-3c2adb04-5753-4078-8f66-2c71a0415bb3"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-cce5d1a7-7174-4deb-8437-5f267df08ba3">바로 이미지 인식 경진대회인</span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-c60160dc-840d-405a-99cf-c9237175c5c7"><b> ILSVRC</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-8845128c-c2d8-4989-8ed3-c604dde2c37b"> </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-eca1adf8-efe0-46ea-951e-e0ae32711d62"><sup>ImageNet Large Scale Visual Recognition Challenge</sup></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-5747c42a-abd4-4aa7-88eb-8874858005cc">에서 24년 노벨상을 수상한 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-a33c62a6-97ee-47f8-bd65-8d62250bd068"><b>제프리 힌튼</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-73d149db-758c-4efe-9ba2-59ab89f0e5e4">이 이끄는 팀의 </span><span style="color:#0095e9;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-6ac934e2-fba3-46b6-8033-9ec73015f354"><b>알렉스넷</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-c9625b72-8262-4d3d-b126-a795958770e0"> </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-6386cc5f-9cc8-40b6-a8fc-33835b23139b"><sup>AlexNet</sup></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-62718db0-ea56-4890-ac13-ea3076b31fe3"> 이 우승을 차지한 것입니다. 딥러닝 기반의 모델인 알렉스넷은 </span><span style="color:#0095e9;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-0527e8ed-bc71-4414-b12a-adb5ed224369"><b>이미지 인식률 84.7%</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-1398d9db-7dca-411b-af37-a8a40a5ff1e2">를 기록했는데, 이는 전년도 우승팀의 오류율 25.8%를 무려 16.4%까지 낮추는 획기적인 것이었죠.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-c18d3c43-af7b-4d28-b11f-511bf2d64be6"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-f11f996b-de2f-4ba2-9af3-8afdd8c1c1d1">​</span></p><!-- } SE-TEXT --> </div> </div> </div> </div> <div class="se-component se-oglink se-l-image" id="SE-9fc58ee9-2833-4c37-ae94-b88a3a859b34"> <div class="se-component-content"> <div class="se-section se-section-oglink se-l-image se-section-align-"> <div class="se-module se-module-oglink"> <a href="https://contents.premium.naver.com/kbd/kabalstory/contents/241022014655919wo" class="se-oglink-thumbnail" target="_blank"> <img src="https://dthumb-phinf.pstatic.net/?src&#x3D;%22https%3A%2F%2Fscs-phinf.pstatic.net%2FMjAyNDEwMjNfMTcg%2FMDAxNzI5NjQwODMzODcw.IMZPoko0BWYaAgrZVCXEKJWtLPn0BB9joPGHchpnfN4g.DkJftsD6Ty8h4hV4M3P-1bwrx_aOYwsHHyZHI1MCadcg.PNG%2FSE-ab67cc9e-32d9-4b40-9ee8-5e25cfa656f7.png%3Ftype%3Dw800%22&amp;type&#x3D;ff120" class="se-oglink-thumbnail-resource" alt="" /> </a> <a href="https://contents.premium.naver.com/kbd/kabalstory/contents/241022014655919wo" class="se-oglink-info" target="_blank"> <div class="se-oglink-info-container"> <strong class="se-oglink-title">노벨상을 받은 딥러닝의 선구자들...</strong> <p class="se-oglink-summary">안녕하세요. 까발스 구독자 여러분... &#x27;한강&#x27; 작가가 노벨 문학상을 수상하며, 우리나라도 고 김대중 대통령의 노벨 평화상에 이어 2 개의 노벨상 수상자를 배출하게 되었습니다. 그러면서 노벨상에 대한 관심이 다시 높아지게 되었는데요... 인공지능 분야에서도 노벨상이 나</p> <p class="se-oglink-url">contents.premium.naver.com</p> </div> </a> </div> </div> </div> <script type="text/data" class="__se_module_data" data-module='{"type":"v2_oglink", "id" :"SE-9fc58ee9-2833-4c37-ae94-b88a3a859b34", "data" : {"link" : "https://contents.premium.naver.com/kbd/kabalstory/contents/241022014655919wo", "isVideo" : "false", "thumbnail" : "https://dthumb-phinf.pstatic.net/?src&#x3D;%22https%3A%2F%2Fscs-phinf.pstatic.net%2FMjAyNDEwMjNfMTcg%2FMDAxNzI5NjQwODMzODcw.IMZPoko0BWYaAgrZVCXEKJWtLPn0BB9joPGHchpnfN4g.DkJftsD6Ty8h4hV4M3P-1bwrx_aOYwsHHyZHI1MCadcg.PNG%2FSE-ab67cc9e-32d9-4b40-9ee8-5e25cfa656f7.png%3Ftype%3Dw800%22&amp;type&#x3D;ff120"}}'></script> </div> <div class="se-component se-text se-l-default" id="SE-e5af7b81-0183-4d78-a9ba-f3b260efa16d"> <div class="se-component-content"> <div class="se-section se-section-text se-l-default"> <div class="se-module se-module-text"> <!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-06c72c80-f466-46f9-919b-ec87319d34d9"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-66febe67-4762-4f76-9d1a-c6d73326ce30">​</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-afdd9ff2-4636-41c8-98de-ff40c22b118e"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-a9ffe6c4-c4f6-4932-a004-6fb7eb0f8810">AI 연구의 대세가 된 딥러닝은 2010년대 급속도로 성장하게 되는데, 이러한 성장 배경은 두 가지가 있습니다. </span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-968a36aa-2c3d-4933-b95e-b2a099ea8809"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-f4c8484e-376e-4cae-b3db-dbc9eb43b93c">​</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-9ee82dc2-7082-4d7b-94e6-a9192c5cc22b"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-59110c62-56af-4f3b-a24b-1ad1873b6c94">첫째, 방대한 학습 데이터를 분석해 특성을 추출하는 딥러닝은 반복적인 계산이 필수인데 병렬 계산 구조에 적합한 </span><span style="color:#0095e9;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-62f95e45-08a8-4573-8e4f-8d2105b3d94c"><b>GPU</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-15e4bf8d-4d62-4adf-aa9c-1cf73329a46a"> </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-07048844-5410-4b79-b3c6-8f59dbc01a7d"><sup>Graphics Processing Unit, 그래픽처리장치</sup></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-c350d056-76b1-4a57-bd24-063612691e0e"> 를 이용하기 시작했다는 것입니다. </span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-988f5cd3-2336-434a-8f52-f12191dc6b07"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-99c4cd58-4130-4d71-ad69-e2ac03aa0b6f">​</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-f4756e6f-912a-4e68-a910-4d023d0c484c"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-2fea6558-06b0-4bd3-88f6-aca4717a2e85">두 번째는 인공신경망 학습에는 대량의 데이터가 필요한데 1990년대 이후, 인터넷이 보급되고 검색엔진이 발전하며, 가공할 수 있는 데이터의 범위가 기하급수적으로 늘어났죠. 2000년대 이후에는 스마트폰과 IoT, 그리고 빅데이터 개념이 등장하면서 현실 세계에서의 셀 수 없이 많은 데이터가 실시간으로 수집되었던 것입니다. 수집된 많은 데이터를 학습한 딥러닝 알고리즘은 더욱 정교하게 구축되었고, 딥러닝 기술 발전의 큰 기반이 되었습니다.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-d07fedb9-9d96-4cd4-ace0-0ffe325eb91d"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-86874115-ccc5-4443-8854-ec4bc250cc49">​</span></p><!-- } SE-TEXT --> </div> </div> </div> </div> <div class="se-component se-quotation se-l-quotation_line" id="SE-c83983f1-7223-4dd2-965a-76bdc24ae582"> <div class="se-component-content"> <div class="se-section se-section-quotation se-l-quotation_line"> <blockquote class="se-quotation-container"> <div class="se-module se-module-text se-quote"><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="" id="SE-750417a0-f261-40e4-9e0a-d15b7b973526"><span style="color:#0078cb;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-802e335b-89df-4b03-9249-4b48a02116eb"><b>데이터와 AI의 상관관계</b></span></p><!-- } SE-TEXT --></div> </blockquote> </div> </div> </div> <div class="se-component se-text se-l-default" id="SE-04e5b497-0c03-4c71-ac1c-c46a31e75c50"> <div class="se-component-content"> <div class="se-section se-section-text se-l-default"> <div class="se-module se-module-text"> <!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-2374a82f-7a69-4524-9fc9-cd9b5838684f"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-6529fcb2-edd6-48c2-a56a-bcb1f2fe86b3">​</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-d6d28710-ab3c-4499-8c16-7e43b8d8f4a0"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-85a4b6cc-fccd-41cb-b0c5-9a64a7fd9006">AI 기술은 학습 데이터에 크게 의존합니다. 데이터는 AI 모델의 기초이자 핵심이며, 양질의 데이터를 기반으로 훈련된 AI는 높은 정확성과 신뢰성을 제공합니다. 반대로, 품질이 낮거나 편향된 데이터를 학습한 AI는 예측력이 떨어지거나 불공정한 결과를 초래할 수 있습니다. </span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-29141e68-35dd-4348-8538-8df56f24c39c"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-8a2a0d5f-3d9d-4f67-bbb7-e2d8b91118a4">​</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-32106ab7-83a3-4c32-beb0-fa37cd18e6bb"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-8891b2b3-55fc-4d43-be48-84a90cc09d2a">&quot;</span><span style="color:#0095e9;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-79ee2d8b-3e73-4c29-964b-da6cf7007964"><b>Garbage In, Garbage Out</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-4b9fd35a-a738-47d5-946b-2e03c4cc70dc">&quot;이라는 원칙은 AI 개발에서 데이터의 중요성을 간단명료하게 설명합니다. 그만큼 AI 성공의 필수 요소로서 데이터의 중요성과 데이터 품질 관리의 필요성을 표현한 것이죠.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-4aed37f4-dc93-4f1f-9a42-2d078dbba5e6"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-162a2358-56c0-46e2-9f70-874334d37c19">​</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-b9052857-be07-40c1-8193-8466881e57d4"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-a3a1f280-f8fb-44df-8ce4-bc65f29c7986">AI 모델이 최상의 성능을 발휘하기 위해서는 데이터가 정확하고, 일관되며, 완전해야 합니다. 이러한 데이터는 이상치와 오류가 제거되고, 적절히 정제된 상태로 제공되어야 합니다. </span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-351fef4d-fb8f-4dee-9faf-b7c28f2930a6"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-13bacf26-d412-41b7-960c-04cd9f9f777e">​</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-d4236d8e-f1e1-407d-a6b0-d2293734e7b5"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-35367ed9-cf04-4251-9ce2-570de6b10beb">예를 들어, 의료 AI의 경우 정밀한 진단 데이터를 학습에 활용함으로써 환자의 상태를 정확히 예측할 수 있습니다. 또한, 각 산업 도메인에 특화된 데이터를 사용하는 것은 AI의 실용성과 적합성을 높이는 데 필수적입니다.</span></p><!-- } SE-TEXT --> </div> </div> </div> </div> </div> </div> <div class="viewer_bottom_section"> <div class="viewer_paywall"> <div class="viewer_paywall_text"> <strong class="viewer_paywall_title">프리미엄 구독자 전용 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