[±¤µ¿Á¦¾à] AI¼¾ÅÍ Ç®½ºÅð³¹ßÀÚ, DBA°³¹ßÀÚ, AI Facilitator °æ·ÂÁ÷¿ø ¸ðÁý
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¡°AI ÄÚµù Åø Ȱ¿ë, ½Ã½ºÅÛÀÇ ¹é¿£µåºÎÅÍ
ÇÁ·ÐÆ®¿£µå±îÁö ±¸Ãà °¡´ÉÇÑ °³¹ßÀÚ¡±
1. End-to-End ¼ºñ½º °³¹ß:
- AI ¼ºñ½ºÀÇ À¥/¾Û ¼ºñ½º Ç®½ºÅà ±¸Çö
2. Legacy ½Ã½ºÅÛ ¿¬µ¿:
- »ç³» ERP, ±×·ì¿þ¾î µî ·¹°Å½Ã ½Ã½ºÅÛ°ú
AI ¸ðµ¨ °£ÀÇ API ¿¬µ¿ ¹× ÆÄÀÌÇÁ¶óÀÎ ±¸Ãà
3.System Architecture: È®À强, º¸¾È °í·ÁÇÑ
¼¹ö ¾ÆÅ°ÅØÃ³ ¼³°è ¹× Ŭ¶ó¿ìµå(AWS/GCP)
ÀÎÇÁ¶ó °ü¸®
4.Rapid Prototyping: AI ÄÚµù µµ±¸¸¦ Ȱ¿ëÇÏ¿©
±âȹ¾ÈÀ» 3ÀÏ À̳»¿¡ ÀÛµ¿ °¡´ÉÇÑ MVP·Î ±¸Çö
¤· ´ë»ó : °æ·Â (3³â ÀÌ»ó)
¤· ä¿ë ±¸ºÐ : Á¤±ÔÁ÷
¤· ¿ä±¸ ´É·Â
- Back-end Deep Dive: Python(FastAPI, Django) ¶Ç´Â
Node.js ±â¹ÝÀÇ ¹é¿£µå Á÷Á¢ °³¹ß ¹× ¹èÆ÷ °æÇè º¸À¯ÀÚ
- AI-Assisted Coding: Cursor, Windsurf, Claude µî
AI ÄÚµù µµ±¸ Ȱ¿ë ´É¼÷ÀÚ
¤· ¿ì´ë »çÇ×
- Modern Front-end: React, Next.js µîÀ»
Ȱ¿ëÇÑ ÇÁ·ÐÆ®¿£µå °³¹ß °æÇè
- DevOps: Docker, Kubernetes ȯ°æ ±¸Ãà ¹×
CI/CD ÆÄÀÌÇÁ¶óÀÎ ¿î¿µ °æÇè
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[°æ±â °úõ]
ä¿ëÀοø
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[DBA °³¹ßÀÚ]
"º¹ÀâÇÑ »ç³» µ¥ÀÌÅÍÀÇ ¼Ó¼ºÀ» ÆÄ¾ÇÇÏ¿©,
AI°¡ ÇнÀÇϰí Ãß·ÐÇÒ ¼ö ÀÖ´Â ÃÖÀûÀÇ ÇüÅ·Î
±¸Á¶ÈÇÏ´Â µ¥ÀÌÅÍ ¼³°èÀÚ¡°
1.Data Modeling & Integration:
°øÀå, À¯Åë, F&B µî °è¿»çº° ÆÄÆíȵÈ
µ¥ÀÌÅÍÀÇ ¼Ó¼ºÀ» ºÐ¼®Çϰí
ÅëÇÕ DB ½ºÅ°¸¶ ¼³°è
2. AI-Ready Data Pipeline:
Á¤Çü µ¥ÀÌÅÍ(SQL)¿Í ºñÁ¤Çü µ¥ÀÌÅÍ(Vector DB)
¸¦ ¿¬°èÇÏ¿© LL2MÀÌ Á¶È¸ °¡´ÉÇÑ
µ¥ÀÌÅÍ ÆÄÀÌÇÁ¶óÀÎ ±¸Ãà
3.Data Quality Management:
µ¥ÀÌÅÍ Á¤Á¦(Cleaning), Ç¥ÁØÈ ÀÛ¾÷ ¹×
ÀÌ»óÄ¡ ŽÁö ·ÎÁ÷ ±¸Çö
4.Query Optimization:
´ë¿ë·® µ¥ÀÌÅÍ Ã³¸®¸¦
À§ÇÑ Äõ¸® Æ©´× ¹× ¼º´É ÃÖÀûÈ (AI µµ±¸ Ȱ¿ë)
¤· ´ë»ó : °æ·Â (3³â ÀÌ»ó)
¤· ä¿ë ±¸ºÐ : Á¤±ÔÁ÷
¤· ¿ä±¸ ´É·Â
- DB ±¸Ãà ¹× ¼³°è: RDBMS (PostgreSQL, MySQL, Oracle)
±¸Ãà ¹× ¿î¿µ, µ¥ÀÌÅÍ ¸ðµ¨¸µ ½Ç¹« °æ·Â
- Data Interpretation: µ¥ÀÌÅÍÀÇ ºñÁî´Ï½ºÀû ¸Æ¶ô
(Business Context), ¼Ó¼ºÀ» ÆÄ¾ÇÇÏ¿© ±¸Á¶ÈÇÒ ¼ö ÀÖ´Â ºÐ¼®·Â
- AI Tool Usage: ChatGPT, Claude µîÀ» Ȱ¿ëÇÏ¿© º¹ÀâÇÑ SQL
»ý¼º, µ¥ÀÌÅÍ ¸¶À̱׷¹ÀÌ¼Ç ½ºÅ©¸³Æ® ÀÛ¼º °¡´ÉÀÚ
¤· ¿ì´ë »çÇ×
- Vector DB: Pinecone, Milvus µî Vector DB ±¸Ãà ¹×
RAG(°Ë»ö Áõ° »ý¼º) ¾ÆÅ°ÅØÃ³ ÀÌÇØµµ°¡ ³ôÀº ºÐ
AI Facilitator (Tech-PM)
"±â¼ú°ú ºñÁî´Ï½º¸¦ Å뿪Çϸç,
ÇÊ¿ä½Ã AI·Î Á÷Á¢ ÇÁ·ÎÅäŸÀÔ(MVP)À»
ÄÚµùÇÏ¿© Çö¾÷ °úÁ¦ Áö¿ø ¿ªÇÒ"
1.Biz-Tech Bridge: °è¿»ç(Çö¾÷)ÀÇ ¿ä±¸»çÇ×À»
±¸Ã¼ÀûÀÎ ±â¼ú ¿ä°Ç(User Story, Spec) ¹ø¿ª/Á¤ÀÇ
2.Project Management: Agile ¹æ¹ý·Ð
(Scrum, Kanban) ±â¹ÝÀÇ °úÁ¦ ÀÏÁ¤, ¸®½ºÅ©,
ÀÌÇØ°ü°èÀÚ °ü¸®
3.Direct MVP Creation: °³¹ßÀÚ ÅõÀÔ Àü,
AI ÄÚµù µµ±¸(Replit, v0, Cursor)¸¦ Ȱ¿ëÇÏ¿©
ÄÁ¼Á Áõ¸í¿ë MVP Á÷Á¢ ±¸Çö ¹× ½Ã¿¬
4.User Adoption: Çö¾÷ ´ë»ó AI ¼Ö·ç¼Ç ±³À°,
¸Å´º¾ó ÀÛ¼º ¹× ¿Âº¸µù Áö¿ø
¤· ´ë»ó : °æ·Â (3³â ÀÌ»ó)
¤· ä¿ë ±¸ºÐ : Á¤±ÔÁ÷
¤· ¿ä±¸ ´É·Â
- High Tech Literacy: °³¹ß Áö½Ä(±âÃÊ ÄÚµù, API ÀÌÇØ)À»
¹ÙÅÁÀ¸·Î °³¹ßÀÚ¿Í ¸·Èû¾ø´Â ¼ÒÅëÀÌ °¡´ÉÇÑ ÀÚ
- AI Native Capability: 'No-code' ¶Ç´Â 'AI Coding' µµ±¸¸¦
Ȱ¿ëÇÏ¿© °£´ÜÇÑ À¥/¾ÛÀ» Á÷Á¢ ¸¸µé¾îº» °æÇè
- Problem Solving: Çö¾÷ÀÇ Pain Point¸¦ Á¤È®È÷ Áø´ÜÇϰí,
¼Ö·ç¼Ç Áß½ÉÀ¸·Î ±¸Á¶È(Structure)ÇÏ´Â ´É·Â
¤· ¿ì´ë »çÇ×
- µ¥ÀÌÅÍ ºÐ¼®: SQL, Python(Pandas) µîÀ» Ȱ¿ëÇÏ¿©
Á÷Á¢ µ¥ÀÌÅ͸¦ ÃßÃâÇϰí ÀλçÀÌÆ®¸¦ µµÃâÇÒ ¼ö ÀÖ´Â ºÐ