와이즈넛, ‘2025 WISE Edge’ 개최… AI 에이전트 시장 선도

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<span class="naver-splugin-c send_caption"><span class="u_hc">SNS 보내기</span></span> </a> </div> <div class="media_end_head_print"> <a href="#" class="media_end_print_link _PRINT_BUTTON" data-print-url="/article/print/020/0003621956" data-clk="print"><span class="blind">인쇄하기</span></a> </div> </div> </div> </div> </div> <div id="contents" class="newsct_body"> <div id="newsct_article" class="newsct_article _article_body"> <article id="dic_area" class="go_trans _article_content"> <strong class="media_end_summary">AI 에이전트 플랫폼, 올 상반기 출시 예정.. B2B 맞춤형 AI 에이전트 시장 공략</strong><span class="end_photo_org"><div class="nbd_im_w _LAZY_LOADING_WRAP "> <div class="nbd_a _LAZY_LOADING_ERROR_HIDE" id="img_a1"> <img id="img1" data-src="https://imgnews.pstatic.net/image/020/2025/03/18/0003621956_001_20250318135312952.jpg?type=w860" class="_LAZY_LOADING _LAZY_LOADING_INIT_HIDE" alt="사진제공=와이즈넛" style="display: none;" /> </div> </div><em class="img_desc">사진제공=와이즈넛</em></span> LLM 기반 AI 에이전트 전문 기업 와이즈넛(대표 강용성)이 18일 글래드 여의도에서 ‘2025 WISE Edge’를 성공적으로 개최했다고 밝혔다.<br><br> 이번 행사의 주제는 ‘Empowering human with AI agents’로, AI 에이전트와 인간의 협력을 통해 인간이 가진 본연의 역량을 극대화할 수 있는 구체적 방향을 모색하는 자리로 마련됐다.<br><br> 이날 행사에서는 와이즈넛 강용성 대표와 장정훈 CTO(연구소장), 김분도 공공사업부문장이 연사로 나서 와이즈넛의 AI 사업 전략 및 기술 비전을 공유했다. 특히 AI 에이전트가 다양한 산업에 활용되며 실질적인 가치를 창출하는 방법과 함께, 향후 와이즈넛의 AI 에이전트 기술 청사진을 구체화하며 참석자들의 높은 관심을 이끌어냈다.<br><br> 먼저 강용성 대표가 ‘Empowering Human with AI Agents’를 주제로 포문을 열며, 인간의 노동력이 AI 시대의 도래와 함께 초효율로 전환되는 시대에 돌입했음을 강조했다.<br><br> 강 대표는 “AI 에이전트가 각 산업과 업무에 도입됨으로써 생산성과 효율성이 획기적으로 향상될 것”이라며, “AI는 단순히 똑똑한 답변을 제공하는 것이 아니라, 기업이 원하는 방식으로 함께 ‘일하는’ 존재가 되어야 한다”라고 역설했다.<br><br> 이어, B2B 맞춤형 AI 에이전트 구현을 위해서 중요한 것은 LLM만이 아니라, 도메인 날리지(Domain Knowledge), RAG와 같은 핵심 구성요소들 또한 중요하게 다뤄져야 한다고 말했다.<br><br> 강 대표는 행사에서 와이즈넛이 지난 25년간 다양한 사업을 통해 축적한 도메인 지식과 노하우, RAG 기술력, 국내 최고 자연어 처리 기술이 글로벌 기업들과 경쟁할 수 있는 와이즈넛만의 차별화된 강점이라고 강조하며, B2B 맞춤형 AI 에이전트 분야에서도 최강자로 자리매김할 수 있다는 자신감을 드러냈다.<br><br> 다음으로 이어진 발표에서, 장정훈 CTO는 ‘와이즈넛의 AI 에이전트 플랫폼: 생성형 AI와 RAG를 활용한 업무 혁신’을 주제로, AI 에이전트에 적용된 핵심 기술을 상세히 소개하며 그 혁신적인 가능성을 조명했다.<br><br> 이날 와이즈넛이 공개한 AI 에이전트 플랫폼은 다양한 고객 업무 시스템을 자동화하는 핵심 기술인 △추론(Reasoning)과 △핵심 지능(Core Intelligence), △그래프 서치(Graph Search) 등을 탑재한 것이 특징이다.<br><br> 추론(Reasoning)은 업무 수행 전략을 수립하고, 지식과 맥락을 분석하여 최적의 의사결정을 내린 후, 이를 에이전트 도구를 활용해 실행하는 과정이다. 핵심 지능(Core Intelligence)은 자체 개발한 WISE LLM과 최신 검색 기반 생성(RAG) 기술로 구성되어 있다. 특히 와이즈넛의 RAG 기술은 기존 벡터와 자연어처리 기반 하이브리드 서치 기술에서 한 단계 더 진화한 Mixture of Retrieval Models를 적용하고, 여기에 그래프 서치(Graph Search) 기술까지 융합해 더욱 의미 있는 수준으로 업그레이드 됐다.<br><br> 이와 함께, 장 CTO는 기업의 레거시 시스템과 조직의 특성 및 문화, 조직도, 내부 규정 등에서 데이터 간의 관계를 자동으로 지식화하고 비즈니스 프로세스 모델링까지 구현하는 와이즈 하이퍼그래프(WISE Hypergraph) 기술을 통해 B2B 맞춤형 AI 에이전트 구현이 가능하다고 설명했다.<br><br> 최근 와이즈넛은 자체 개발한 ‘WISE LLM 70B’ 모델과 딥시크(Deepseek)의 Distillation R1 70B 모델을 비교한 자체 벤치마크 테스트 결과를 공개하여 정밀성, 포괄성, 독해 능력 등에서 우수한 성능을 증명한 바 있다. 특히, 독해 능력 부문에서는 약 20% 높은 성능 우위를 보이며, 복잡한 고객 환경에서도 최적의 답변을 제공하는 기술적 강점을 입증했다.<br><br> 마지막으로, 산업별 생성형 AI 도입 전략 및 사례 발표는 김분도 공공사업부문장이 맡았다. 현재 산업분야에서 생성형 AI를 어떻게 활용하고 있는지 살펴보고 와이즈넛이 그간 구축한 △한국도로공사 △고용노동부 △한전KPS △NIPA 과제 등 생성형AI 사업 사례를 소개했다.<br><br> 더 나아가 해당 자리에서 와이즈넛이 구현하고 있는 AI 에이전트 플랫폼을 최초 공개해, 실제 업무 환경에서 적용가능한 현실적이고 가시적인 활용사례를 선보였다.<br><br> 강용성 대표는 “오늘 올해 상반기 중 신규 출시를 앞두고 있는 AI 에이전트 플랫폼을 공개한 것은, AI 에이전트가 가져올 실질적 혁신을 와이즈넛만의 이야기로 먼저 보여드리고자 함이었다”며 “지난 25년간 그랬듯, 와이즈넛이 선보일 AI 에이전트로의 새로운 여정을 지켜봐 달라”라고 말했다.<br><br> </article> </div> <div class="byline"> <p class="byline_p"> <span class="byline_s">최용석 동아닷컴 기자 duck8@donga.com</span> </p> </div> <div class="copyright"> <div class="c_inner"> <p class="c_text">Copyright ⓒ 동아일보. 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다시 시도해주세요."},"bSortCookie":true,"bMobile":false,"bShowReply":false,"bManager":false,"sDomain":"https://ssl.pstatic.net/static.cbox","sCountry":"KR","nUserCommentPageSize":20,"sLanguage":"ko","sDateFormat":"Y.m.d. H:i","sCommentNo":"","sPageType":"more","sHelp":"down","sSort":"new","sApiDomain":"https://apis.naver.com/commentBox/cbox5","nFollowSize":5,"nFeedPageSize":50,"bIncludeAllComments":true,"sCountType":"comment","aFormation":["count","graph","write","notice","follow","list","view"],"bByCountry":false,"bUseAgo":false,"nReplyPageSize":20,"sCssId":"news_w"}; window.__htCboxOption["bLogin"] = isLogin; window.__htCboxOption["bMobile"] = false; window.__htCboxOption["sHighlightColor"] = "rgba(124, 255, 182, 0.06)"; window.__htCboxOption["vViewAllHandler"] = function() { window.location.href = "/article/comment/020/0003621956"; }; </script> <div id="_COMMENT_NOTICE" class="changecmt" style="display:none;"> <p class="changecmt_p _LAZY_LOADING_WRAP"> <span class="changecmt_image _LAZY_LOADING_ERROR_HIDE"><img data-src="https://mimgnews.pstatic.net/image/upload/office_logo/020/2025/03/07/logo_020_100_20250307145700.png" class="changecmt_img _LAZY_LOADING" alt=""></span><em>동아일보</em>가 이 기사의 댓글 정책을 결정합니다. <span class="changecmt_info"> <button type="button" class="changecmt_info_icon _layer_notice_btn _TOGGLE" data-target="_COMMENT_NOTICE_INFO_LAYER" data-classValue="is_hidden">안내</button><span id="_COMMENT_NOTICE_INFO_LAYER" class="changecmt_layer _layer_notice is_hidden"> <strong class="changecmt_info_title"><span class="changecmt_ico_help"></span>댓글 정책 언론사별 선택제</strong> <span class="changecmt_info_txt">섹션별로 기사의 댓글 제공여부와 정렬방식을 <br>언론사가 직접 결정합니다. 기사 섹션 정보가<br>정치/선거를 포함하는 경우 정치/선거섹션 정책이<br>적용됩니다. 단, 운영규정에 따른<br>삭제나 이용제한 조치는 네이버가 직접<br>수행합니다.</span> <button class="changecmt_btn_info_close _close_layer _TOGGLE" data-target="_COMMENT_NOTICE_INFO_LAYER" data-classValue="is_hidden">레이어 닫기</button> </span> </span> </p> </div> <div id="cbox_module" class="_COMMENT _COMMENT_HIDE"> </div><div class="rankingnews mobile_hidden is_hidden _TEMPLATE" data-grid-template-column-aside="true" data-template-id="OFFICE_HEADLINE_FLAT"> <div class="ra_head"> <strong class="ra_title"><em 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data-aggregation-text-visible="" style="opacity:0;"> <a href="#" class="ra_tab_a" data-clk="ark.cmtnwstab">댓글 많은</a> </li> </ul> </div> <div class="flick" style="height:442px;"> <div class="flick-container _FLICKING" style="height:442px; opacity:0;"> <div class="flick-panel" data-index="0" data-subtab-count="1"> <ul class="ranking_list _FLICKING_CONTENT" data-index="0" style="margin-top: 0;"> <li class="rl_item _LAZY_LOADING_WRAP" data-loading-error-allowed="true"> <div class="rl_link_end"> <i class="rl_ranking">1</i> <div class="rl_content"> <p class="rl_txt">건강하던 20대도 심장마비…매일 이 음료 마시던 습관 때문?</p> <div class="rl_time">4시간전</div> </div> <div class="rl_img _LAZY_LOADING_WRAP _LAZY_LOADING_ERROR_HIDE"> <div class="rl_border"> <img data-src="https://mimgnews.pstatic.net/image/origin/020/2025/03/27/3624124.jpg?type=nf190_130&ut=1743022872000" data-scroll="true" class="_LAZY_LOADING" width="95" height="65" alt=""> </div> </div> <a href="/article/020/0003624124?ntype=RANKING" 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style="display:none;">각 대학이 예고한 의대생 등록 마감일이 다가왔다. 이미 일부 대학은 등록을 마감했지만, 55%가 등록한 연세대를 제외하곤 대부분 등록률이 낮은 것으로 알려졌다. 대학은 “이번이 마지막 기회”라고 호소하고 있지만, 의</div> </a> </li> <li class="ofhe_item _LAZY_LOADING_WRAP" data-loading-error-allowed="true"> <a href="/article/014/0005327041" class="ofhe_link _NLOG_IMPRESSION" data-clk="arw.art" data-extra="{"airs":{"session_id":"V3NYvrCxf3Tc0PMP"}}" data-imp-gdid="880000FF_000000000000000005327041" data-imp-url="https://n.news.naver.com/article/014/0005327041" data-imp-index="9"> <div class="ofhe_thumb _LAZY_LOADING_ERROR_HIDE"> <div class="ofhe_image"> <img data-src="https://imgnews.pstatic.net/image/origin/014/2025/03/27/5327041.jpg?type=nf336_206" data-scroll="true" alt="" class="_LAZY_LOADING"> </div> </div> <div class="ofhe_headline">美 여행 중 실종된 한국인 일가족… 22중 연쇄추돌사고 연관성 조사</div> <div class="ofhe_lede _LAZY_LOADING_ERROR_SHOW" style="display:none;">미국 서부 그랜드 캐니언을 관광하던 한국인 일가족 3명이 겨울 폭풍이 몰아치는 고속도로에서 실종된 사건과 관련해 현지 경찰은 실종 당일 고속도로에서 발생한 연쇄 추돌사고와의 연관성을 조사하고 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data-src="https://scs-phinf.pstatic.net/MjAyNTAzMjJfNjMg/MDAxNzQyNjA4MzU4MjU1.GjFhUbLMrgWRCYbVpyDQVJcE8a9cH1dxK07vGJtbdHEg.jHu-GCjXAPQtmWUYUvxm-LHlh-HHjZ-XZoOn3FIXYmAg.PNG/image.png?type=nf190_130" alt="" data-scroll="true" class="_LAZY_LOADING" width="95" height="65"> </div> </div> </a> </li> <li class="rl_item _LAZY_LOADING_WRAP" data-loading-error-allowed="true"> <a href="https://contents.premium.naver.com/science2005/science/contents/250326144539785mo?from=news_arp_global" class="rl_link_end" data-clk="arp.ptextg" data-score="1.3160609049008396" data-recommended-type="GLOBAL"> <div class="rl_content"> <p class="rl_txt"> 산불 진화현장은 '중대재해 현장'...기후재앙이 키운 '괴물 산불' 대응방안은? 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