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Hollan","lazyEnabled":true,"height":"1000","width":"1500","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--a5dc3998-380e-4bd3-b402-77b34309e148/jeff-hollan.jpg?quality=85&preferwebp=true",":type":"snowflake-site/components/image"},"authorCta":{"id":"button-f73d710565","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/jeff-hollan/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Jeff Hollan"}}],"tag":{"tagText":"AI & ML","tagColor":"#C54985"},"title":{"lines":["Snowflake Intelligence: 데이터와의 대화로 진정한 비즈니스 인사이트 실현 "],"type":"heading2",":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/blog/blog-hero"}},":itemsOrder":["blog_hero"]},"responsivegrid_content":{"columnClassNames":{"image":"aem-GridColumn aem-GridColumn--default--12","blog_text":"aem-GridColumn aem-GridColumn--default--12","blog_text_1445063644":"aem-GridColumn 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Snowflake Intelligence(PuPr 예정)를 선보이게 되었습니다. 이 기능은 조직 구성원들이 데이터와 안전하게 대화하고, 신뢰할 수 있는 엔터프라이즈 정보에서 심층적인 인사이트를 도출하고, 직관적인 통합 인터페이스에서 필요한 조치를 취할 수 있도록 지원합니다.\u003C/p\u003E\r\n\u003Ch3\u003E데이터를 실행 가능한 인텔리전스로 전환 \u003C/h3\u003E\r\n\u003Cp\u003ESnowflake Intelligence는 사용자가 조직의 데이터와 직접적으로 안전하게 상호 작용할 수 있도록 구축된 새로운 에이전트 기반 경험으로서, 전용 포털(\u003Ca href=\"http://ai.snowflake.com\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003Eai.snowflake.com\u003C/a\u003E)을 통해 액세스할 수 있습니다. 이제 팀들은 Snowflake Intelligence를 사용하여 다음을 수행할 수 있습니다.\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E자연어로 대화:\u003C/b\u003E 동료와 대화하듯 질문을 통해 추론하고 인사이트를 얻을 수 있습니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E모든 데이터에 액세스:\u003C/b\u003E 정형 데이터(테이블 및 기록)와 비정형 데이터(문서, 대화, 녹취록) 모두에 안전하게 연결합니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E정확한 인사이트 생성:\u003C/b\u003E 분석을 위한 내장형 딥 리서치 분석 에이전트(Deep Reserach Agent)를 사용하면 간단한 검색을 넘어 데이터를 분석하고 복잡한 비즈니스 질문을 조사하며 트렌드를 파악하고 ‘대상(what)’이 아니라 ‘이유(why)’를 이해할 수 있습니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E 즉각적인 실행:\u003C/b\u003E 인사이트를 기반으로 알림 전송, 다른 시스템의 레코드 업데이트 또는 워크플로우 트리거와 같은 태스크를 수행하도록 에이전트를 구성할 수 있습니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E영업 관리자는 이런 질문을 할 수 있습니다. "지난 분기 서부 리전에서는 어떤 제품이 가장 많이 팔렸고, 제품 X가 제품 Y보다 실적이 좋았던 이유는 무엇인가요?" 이 질문에 대해 Snowflake Intelligence는 영업 테이블, 파이프라인 노트 및 관련 리전 내 이메일을 스캔하여 답변을 제공하고 다음 단계에 취해야 할 조치를 제안합니다. 그리고 \u003Cb\u003E이 모든 것이 일주일씩 소요되는 애드혹 분석이 아니라, 단 한번의 요청으로 이루어집니다.\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003E\u003Ca href=\"https://app.snowflake.com/marketplace\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003ESnowflake Marketplace\u003C/a\u003E에서 곧 정식 출시되는 Snowflake \u003Cb\u003ECortex Knowledge Extensions\u003C/b\u003E를 통해 조직은 관련성 있고 신뢰할 수 있는 최신의 외부 소스(예: Stack Overflow, The Associated Press, USA TODAY Network 등)로 독점 데이터를 쉽게 컨텍스트화하여 경쟁 우위를 확보할 수 있습니다. 또한 보다 풍부한 인사이트와 정보에 입각한 의사 결정이 가능하고 엔터프라이즈급 보안 및 거버넌스도 유지할 수 있습니다. 고객은 Snowflake Intelligence의 Cortex Knowledge Extensions 기능을 활용하여 이러한 데이터 소스의 유용성과 인사이트를 극대화할 수 있습니다.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/blog/blog-text"},"image":{"id":"image-90165ada7f","alt":"Snowflake Intelligence preview","lazyEnabled":true,"height":"1984","width":"3456","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--bc33c399-92e9-4e38-a3f6-c138814b21bb/snow-intell-blog-screenshot-%25281%2529.png?quality=85&preferwebp=true",":type":"snowflake-site/components/image"},"blog_text_1445063644":{"id":"blog-text-59812afe49","text":"\u003Ch3\u003E지능형 에이전트를 통한 셀프서비스 데이터 탐색\u003C/h3\u003E\r\n\u003Cp\u003ESnowflake Intelligence는 엔터프라이즈 데이터의 복잡성을 해소하기 위해 특별히 설계된 고유한 이점을 제공하며, 자세한 내용은 다음과 같습니다.\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E정형 데이터에서 심층적인 인사이트를 발굴하는 능력:\u003C/b\u003E 대부분의 에이전틱 솔루션은 주로 비정형 문서(RAG 기술 활용)에 중점을 둡니다. Snowflake Intelligence는 Snowflake Cortex Analyst와 같은 기존 기술을 활용하여 문서뿐만 아니라, 고객의 Snowflake 내 정형 데이터에 대해서도 고도로 정확한 SQL 쿼리를 직접 생성합니다. 또한, “지난 6개월 동안의 헬스케어 비용 청구 동향은 어땠나”와 같은 질문에 대해, 데이터와 비즈니스 시맨틱을 이해하여 올바른 쿼리를 생성하고, 이를 안전하게 실행하여 신뢰할 수 있는 답변을 제공합니다. 그리고, 단순히 ‘무슨 일’이 있어났는지를 찾는 것을 넘어, 지능형 컨텍스트와 심층 분석 연구를 통해 고객이 ‘무엇(what)’이 아니라 ‘왜(why)’를 탐색할 수 있도록 도울 수 있습니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E보안 및 거버넌스의 상속:\u003C/b\u003E 신뢰는 그 무엇보다 중요합니다. Snowflake Intelligence는 Snowflake의 강력한 보안 프레임워크 기반 위에 구축되었습니다. 기존의 모든 역할 기반 액세스 제어(RBAC), 데이터 마스킹 정책 및 거버넌스 규칙이 모든 대화에서 자동으로 준수됩니다. 사용자는 액세스 권한이 있는 데이터에 기반한 답변만을 받게 됩니다. 따라서 애플리케이션 계층에서 권한을 재정의할 필요가 없습니다. 이렇게 원활한 보안은 추가적인 노력 없이 데이터의 무결성을 보장하고 유출을 방지하는 동시에 인사이트 생성 방식에 대한 완전한 투명성을 제공합니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E비즈니스 생태계 전반에 걸친 통합 액세스:\u003C/b\u003E 진정한 비즈니스 인사이트를 확보하려면 여러 소스의 컨텍스트가 필요합니다. Snowflake Intelligence는 Snowflake의 연결 기능(예: Snowflake Openflow)과 결합하여 Snowflake 및 서드 파티 애플리케이션의 정보를 액세스하고 종합할 수 있습니다. 예를 들어, 제품 사용량 데이터(Snowflake에서)를 최근의 영업 활동(Salesforce에서) 및 고객 지원 동향(Zendesk에서)과 연관시킬 수 있는 에이전트가 있다고 칩시다. 이러한 포괄적인 통합은 개별 애플리케이션에 대한 여러 개의 단일 용도 에이전트를 요구하는 대신 전체적인 360도 뷰를 제공하여 진정한 전사적 지식 공유를 가능하게 합니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E검증 가능한 설명 가능성 및 신뢰성:\u003C/b\u003E 사용자는 인사이트를 신뢰할 수 있어야 합니다. Snowflake Intelligence는 투명성을 염두에 두고 설계되었습니다. 사용자는 에이전트가 답변을 얻는 방법을 파악하고, 데이터가 검증된 소스나 데이터 팀이 큐레이션한 쿼리에서 온 것인지 추적하고 계보를 확인할 수 있습니다. 관리자는 질문 내용과 답변 간의 관련도를 점수로 파악할 수 있어, 중앙 집중식 제어를 통해 시스템을 지속적으로 개선하고 파인튜닝할 수 있습니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Ch3\u003ESnowflake Intelligence의 실사용 성공 사례\u003C/h3\u003E\r\n\u003Cp\u003ESnowflake는 Snowflake Intelligence의 강력한 기능을 이미 경험하고 있는 초기 고객들과 긴밀히 협력해왔습니다. 헬스 테크 기업인 WHOOP는 제품 및 지원에서 영업, 마케팅에 이르기까지 모든 비즈니스 데이터를 위한 중앙 집중식 플랫폼으로 Snowflake를 활용하고 있습니다.\u003C/p\u003E\r\n\u003Cp\u003E“WHOOP의 사명은 신체 능력과 건강 수명을 극대화하는 것으로서, 데이터는 저희가 하는 모든 작업의 핵심 요소입니다. Snowflake Intelligence는 모든 직원이 분석 팀의 중간 개입 없이도 인사이트에 액세스할 수 있도록 보장함으로써, 저희 회사가 데이터 우선 조직으로 나아가는 데 있어 커다란 역할을 했습니다.”라고 WHOOP의 비즈니스 분석 선임 이사인 Matt Luizzi는 밝혔습니다. 이어, “의사 결정에 필요한 인사이트 도출을 가로막는 기술적 장벽을 제거함으로써 분석 팀은 이제 수동 데이터 검색 작업에서 벗어나 더욱 전략적이고 예측 가능하며 가치를 창출하는 업무에 집중할 수 있게 되었습니다.”라고 그는 덧붙였습니다.\u003C/p\u003E\r\n\u003Ch2\u003E조직 전반에 걸친 인텔리전스 민주화\u003C/h2\u003E\r\n\u003Cp\u003ESnowflake Intelligence를 구현하면 조직 전반에 걸쳐 상당한 가치를 창출할 수 있으며, 이를 통해 고객은 다음과 같은 이점을 누릴 수 있습니다.\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E비즈니스 사용자 역량 강화: \u003C/b\u003E사용자는 셀프서비스 인사이트를 통해 기술 지식이나 데이터 팀의 개입 없이도 복잡한 질문에 대한 즉각적인 답변을 얻을 수 있습니다. 이를 통해 사용자는 비즈니스 전반에서 도출된 신뢰할 수 있고 포괄적인 인사이트를 바탕으로 조치를 취할 수 있으므로 더 빠르고 더 나은 의사 결정을 내릴 수 있습니다. 이에 따라, 데이터 검색에 소요되는 시간을 줄이고 데이터를 활용하는 데 더 많은 시간을 할애하며, 대화형 인터페이스에서 직접 워크플로우를 시작할 수도 있어 결과적으로 생산성이 향상됩니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E데이터 팀의 위상 제고:\u003C/b\u003E 데이터 팀은 이제 수동적인 요청 처리에서 벗어나 큐레이션된 데이터 에이전트와 전략적 데이터 이니셔티브를 통해 비즈니스를 주도적으로 지원하는 전략적 역할로 전환할 수 있습니다. 또한, Snowflake에 이미 구축된 데이터, 보안 및 거버넌스를 활용하여 강력한 AI 기능을 제공함으로써 투자를 극대화할 수 있습니다. 마지막으로 원활한 관리 경험을 통해 에이전트를 구성하고, 접근을 관리하며, 사용량을 모니터링하고 데이터 품질 및 보안 표준을 유지하면서 제어권과 가시성을 확보할 수 있습니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E엔터프라이즈 운영 혁신:\u003C/b\u003E 엔터프라이즈 운영 혁신은 데이터를 안전하게 민주화하여 더 많은 직원이 안전한 관리형 프레임워크 내에서 데이터 인사이트를 활용할 수 있도록 역량을 강화하는 것을 포함합니다. 또한, 여러 부서와 애플리케이션에 걸쳐 데이터를 연결하여(예: 고객에 대한 진정한 360도 뷰를 확보함) 사일로를 허물고 협업을 촉진하며 통합적인 이해를 구축하는 것을 의미합니다. 궁극적으로는 인사이트가 행동과 측정 가능한 비즈니스 영향으로 직접 이어지는 데이터 기반 문화를 조성하여 혁신을 가속화할 것입니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Ch3\u003ECortex Knowledge Extensions 및 Model Context Protocol(MCP)을 활용한 전사적 지식 영역 확장 \u003C/h3\u003E\r\n\u003Cp\u003ESnowflake Intelligence는 신뢰할 수 있는 외부 소스를 퍼스트 파티 데이터에 원활하게 통합하는 Cortex Knowledge Extensions를 통해 더욱 강력해졌습니다. 조직은 이 기능을 통해 다음을 수행할 수 있습니다.\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E외부 지식 통합:\u003C/b\u003E 적절한 출처 표기를 유지하고 지식재산권을 존중하면서 신뢰할 수 있는 외부 정형 및 비정형 데이터 소스를 대화형 AI 경험에 쉽게 통합할 수 있습니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E비즈니스 인사이트의 컨텍스트화:\u003C/b\u003E 외부 시장 동향, 산업 연구 및 전문 지식 기반을 통해 내부 데이터를 보강하여 의사 결정을 위한 보다 심층적인 컨텍스트를 제공합니다.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Cb\u003E보안 및 신뢰 유지: \u003C/b\u003ESnowflake의 안전한 데이터 공유 프레임워크를 통해 외부 지식 소스에 액세스하여 모든 상호 작용이 고객 데이터를 보호하는 것과 동일한 강력한 보안 제어로 관리되고 보호됩니다. \u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003E예를 들어, 금융 분석가는 내부 포트폴리오 성과와 외부 시장 뉴스를 결합한 질문을 할 수 있고, 프로덕트 매니저는 고객 피드백을 산업 연구 보고서와 함께 분석할 수 있으며, 이 모든 것이 단일하고 안전한 대화 안에서 이뤄집니다. \u003Ca href=\"https://app.snowflake.com/marketplace\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003ESnowflake Marketplace\u003C/a\u003E에서 Cortex Knowledge Extensions로 제공되는 소스에는 The Associated Press, USA TODAY Network, Stack Overflow, Packt 및 CB Insights 등이 포함됩니다.\u003C/p\u003E\r\n\u003Cp\u003E조직이 이처럼 다양한 데이터 소스에서 포괄적인 인사이트를 얻을 수 있으려면 AI 애플리케이션과 다양한 데이터 시스템을 쉽게 연결할 수 있어야 합니다. 이에 Snowflake Intelligence는 MCP 서버에 대한 지원(PrPr 예정)을 제공하여 사용자가 광범위한 데이터 소스에서 정보를 안전하게 검색할 수 있게 할 예정입니다. 이로써 비즈니스 사용자는 Snowflake Intelligence UI를 통해 이와 같은 원격 데이터 소스를 선택하여 신뢰할 수 있고 풍부한 답변을 얻을 수 있습니다. 이처럼 직관적인 단일 인터페이스 내에서 관리되는 데이터에 쉽게 액세스함으로써 의사 결정 속도를 높일 수 있으며, 분산된 데이터를 명확한 비즈니스 인사이트로 전환하는 진정한 의미의 포괄적인 지식 생태계를 구축할 수 있습니다. \u003C/p\u003E\r\n\u003Ch3\u003ESnowflake Intelligence 시작하기\u003C/h3\u003E\r\n\u003Cp\u003E엔터프라이즈 데이터와 대화할 수 있는 능력은 더 이상 미래의 비전이 아니라, 이미 엄연한 현실입니다.\u003C/p\u003E\r\n\u003Cp\u003ESnowflake는 팀의 역량을 강화하려는 비즈니스 리더나 자신들의 영향력을 확대하고자 하는 데이터 전문가들에게 Snowflake Intelligence를 추천해드립니다. Snowflake AI 데이터 클라우드의 안전하고 거버넌스가 적용된 환경 내에서 전문적인 서드파티 소스 및 관련 자료들과 소통하는 방법, 그리고 영업 인사이트 에이전트나 마케팅 캠페인 분석기처럼 다양한 비즈니스 기능을 위한 특화된 데이터 에이전트를 구축하는 방법을 알아보세요.\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Ca href=\"https://quickstarts.snowflake.com/guide/getting_started_with_cortex_agents/index.html?index=..%2F..index#0\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003E첫 번째 Cortex Agent를 구축\u003C/a\u003E하고 미리 보기에 대한 접근 권한은 담당 계정 팀과 상의하세요.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003Cli\u003E\u003Cp\u003E\u003Ca href=\"https://app.snowflake.com/marketplace\"\u003ESnowflake Marketplace\u003C/a\u003E에서 \u003Ca href=\"https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-knowledge-extensions/cke-overview\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"\u003ECortex Knowledge Extension\u003C/a\u003E를 통해 Snowflake의 공식 설명서와 대화를 나눠보세요.\u003C/p\u003E\r\n\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003ESnowflake Intelligence는 조직이 데이터에 액세스하고 데이터를 활용하는 방식을 혁신합니다. Snowflake는 대화형 AI의 강력한 기능과 정형 및 비정형 데이터 모두를 위한 강력한 보안, 거버넌스 및 포괄적인 기능을 결합하여 모든 사람이 자연어를 통해 귀중한 비즈니스 인사이트를 얻을 수 있도록 지원합니다. 데이터와 직접 대화하고, 엔터프라이즈 생태계 전반에서 신뢰할 수 있는 답변을 얻고, 정보를 행동으로 전환하세요. 엔터프라이즈 데이터 안에 숨겨진 인사이트를 지금 바로 발견해보세요.\u003C/p\u003E\r\n\u003Cp\u003E\u003Ci\u003E미래 전망 진술\u003C/i\u003E\u003C/p\u003E\r\n\u003Cp\u003E\u003Ci\u003E이 페이지에는 당사의 향후 제품 제공에 대한 미래 전망 진술이 포함되어 있으며, 이는 제품 제공에 대한 보장이 아닙니다. 실제 결과 및 제공 내용은 다를 수 있으며, 알려지거나 알려지지 않은 위험 및 불확실성에 영향을 받을 수 있습니다. 자세한 내용은 최신 10-Q를 참조하세요.\u003C/i\u003E\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/blog/blog-text"}},":itemsOrder":["blog_text","image","blog_text_1445063644"],":type":"wcm/foundation/components/responsivegrid"},"responsivegrid_premium_content_banner":{"columnClassNames":{},"gridClassNames":"aem-Grid aem-Grid--12 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Agarwal","lazyEnabled":true,"height":"653","width":"720","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--8049a19c-6f69-400d-9f50-c2ee72ba1d88/arun-agarwal.jpg?quality=85&preferwebp=true",":type":"snowflake-site/components/image"},"authorCta":{"id":"button-1cd3f4dcb9","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/blog/authors/arun-agarwal/"},"linkTargetContentType":"DOCUMENT_LEARN",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Arun Agarwal"},"authorTitle":"AI Product Marketing, Snowflake"},{"authorImage":{"id":"image-38db3a0dd6","alt":"Jeff 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