¡ã ¼Áø¼ö ¢ßÄÁ½Ã¾îÁö¼ÒÇÁÆ® ´ëÇ¥ | ¢ßµ¥ÀÌÅ;ØÇÇÇà ´ëÇ¥ |
¾ðÁ¦ºÎÅÍÀΰ¡ ¹Ìµð¾î¿¡¼ ‘Á¦4Â÷ »ê¾÷Çõ¸í½Ã´ë’¶ó´Â ¸»ÀÌ ÀÚÁÖ µîÀåÇÏ°í ÀÖ´Ù. 4Â÷ »ê¾÷Çõ¸íÀº Àΰø Áö´É, »ç¹°ÀÎÅͳÝ, ºòµ¥ÀÌÅÍ, ¸ð¹ÙÀÏ µî ÷´Ü Á¤º¸Åë½Å±â¼úÀÌ ¹ß´ÞÇÔ¿¡ µû¶ó °æÁ¦·»çȸ Àü¹Ý¿¡ °ÉÃÄ Çõ½ÅÀûÀÎ º¯È°¡ ³ªÅ¸³ª´Â Â÷¼¼´ë »ê¾÷Çõ¸íÀ» ÀÏÄ´´Ù. ¿©·¯ ºÐ¾ßÀÇ ½Å±â¼úÀÌ À¶ÇÕµÇ¸é¼ ±âÁ¸¿¡ ¾ø´ø »õ·Î¿î °ÍµéÀÌ ½ñ¾ÆÁ® ³ª¿À´Â Áö±Ý, ´ëÇѹα¹Àº Á¦4Â÷ »ê¾÷Çõ¸í½Ã´ë¿¡ À̸£·¶´Ù. ÀÌ·¯ÇÑ Å« È帧Àº ÀϺ»°ú µ¶ÀÏ, ±×¸®°í ¹Ì±¹°ú Áß±¹ µî °æÁ¦ ¼±Áø±¹À» Áß½ÉÀ¸·Î ºü¸£°Ô ÆÛÁ®³ª°¡°í ÀÖ´Ù. ÀϺ»¿¡¼´Â Àΰø Áö´ÉÀ» È°¿ëÇÑ ·Îº¿À» °³¹ßÇÏ°í ÀÖÀ¸¸ç, µ¶ÀÏ¿¡¼´Â ½º¸¶Æ® ÆÑÅ丮¸¦ ½ÇÇàÇÏ¿© ÀϼÕÀÌ ºÎÁ·ÇÑ Á¦Á¶¾÷°èÀÇ Çö½ÇÀ» ±Øº¹ÇØ ³ª°¡°í ÀÖ´Ù. ÀÌ¿¡ µû¶ó ¿ì¸®µéÀÇ »î ¿ª½Ã ÇÏ·ç°¡ ´Þ¸® ¹Ù²î¾î°¡°í ÀÖ´Ù. ±âÁ¸ÀÇ ¼ö¸¹Àº Á÷¾÷µéÀÌ »ç¶óÁú °ÍÀ̸ç, Àü¿¡ ¾ø´ø »õ·Î¿î Á÷¾÷±ºÀÌ ³ªÅ¸³¯ °ÍÀ¸·Î º¸ÀδÙ. ¼Áø¼ö ¢ßÄÁ½Ã¾îÁö¼ÒÇÁÆ® ´ëÇ¥´Â ¿ì¸®°¡ ÀÌ·¯ÇÑ º¯ÈÀÇ È帧 ¼Ó¿¡ ÀÖÀ½À» ÀÎÁöÇÏ°í, ±×¿¡ ¹ß¸ÂÃç Â÷±ÙÂ÷±Ù ÁغñÇØ ³ª°¡¾ß ÇÑ´Ù°í ÀüÇß´Ù. À§Å¬¸®ÇÇÇÃÀº ¶ß°Å¿î ¾î´À ¿©¸§³¯, ºòµ¥ÀÌÅÍ Àü¹®°¡·Î¼ÀÇ »îÀ» »ì¾Æ°¡°í ÀÖ´Â ¼Áø¼ö ´ëÇ¥¸¦ ¸¸³µ´Ù.
°úÀ×Á¤º¸½Ã´ë, ºòµ¥ÀÌÅÍ Àü¹®°¡ÀÇ ¿ªÇÒ
4Â÷ »ê¾÷Çõ¸í½Ã´ë°¡ µµ·¡ÇÏ¸é¼ ÀÌ¿Í ÇÔ²² ‘ºòµ¥ÀÌÅÍ’¶ó´Â ¿ë¾îµµ ½É½ÉÂú°Ô µé¸®°í ÀÖ´Ù. ±¹³»¿¡¼ ‘ºòµ¥ÀÌÅÍ’¶ó´Â ¿ë¾î°¡ ¾²ÀÎÁöµµ ¾î´Àµ¡ 4, 5³âÀÌ µÇ¾úÁö¸¸ À̸¦ Á¤ÀÇÇÏ´Â °ÍÀÌ ½±Áö ¾Ê´Ù. ±×·¸´Ù¸é ºòµ¥ÀÌÅͶó´Â °ÍÀÌ °ú¿¬ ¹«¾ùÀϱî? µ¥ÀÌÅÍ °ü·Ã ºÐ¾ß¿¡¼ 17³â° ÀÏÀ» ÇÏ°í ÀÖ´Â ¼Áø¼ö ´ëÇ¥´Â ºòµ¥ÀÌÅ͸¦ ´ÙÀ½°ú °°ÀÌ ¼³¸íÇß´Ù.
“ºòµ¥ÀÌÅͶó´Â ¿ë¾î¸¦ ÀÖ´Â ±×´ë·Î Çؼ®ÇÏÀÚ¸é ‘Å« µ¥ÀÌÅÍ’¶ó´Â ¶æÀÌ µË´Ï´Ù. ´õ ¿Í´êÀ» ¼ö ÀÖµµ·Ï °£·«ÇÏ°Ô ¼³¸íÇÏÀÚ¸é ‘¿ì¸® ÁÖº¯¿¡ ÀÖ´Â ¸ðµç ÇüÅÂÀÇ µ¥ÀÌÅÍ’¶ó°í Á¤ÀÇÇÏ°í ½Í½À´Ï´Ù. ¿ì¸® ÁÖº¯ÀÇ µ¥ÀÌÅÍ, Á¤º¸´Â Á¤¸» ¸¹¾Æ¿ä. ½Å¹®±â»ç, »çÁø, ¿µ»ó, ¼Ò¸®, ÅؽºÆ®, µµÇ¥ µî ÀÌ·¯ÇÑ ´Ù¾çÇÑ À¯ÇüÀÇ µ¥ÀÌÅ͸¦ ¸ð¾Æ¼ ‘ºòµ¥ÀÌÅÍ’¶ó°í ÇÕ´Ï´Ù. ÀÌ·± Àǹ̿¡¼ º¸¸é, ºòµ¥ÀÌÅÍ´Â ¾ÆÁÖ ¿À·¡ÀüºÎÅÍ »ç¶÷°ú ÇÔ²² ÇØ¿Ô¾î¿ä. À̸¦ ÃÑĪÇÏ´Â ´Ü¾î°¡ ¾ó¸¶ Àü¿¡ »ý°åÀ» »ÓÀÌÁö¿ä. Áö±Ý¿¡ À̸£·¯¼¾ß µ¥ÀÌÅÍÀÇ Á߿伺À» ±ú´ÞÀº »ç¶÷µé, À̸¥¹Ù ‘ºòµ¥ÀÌÅÍ Àü¹®°¡’µéÀÌ ÀÌ·¯ÇÑ ºòµ¥ÀÌÅ͸¦ È°¿ëÇÏ°í ÀÖÁö¿ä.”
ÀÎÅͳݰú °úÇбâ¼úÀÌ ¹ß´ÞÇÔ¿¡ µû¶ó, ¿ì¸®´Â ³Ê¹«µµ ¸¹Àº Á¤º¸ÀÇ È«¼ö ¼Ó¿¡¼ »ì¾Æ°¡°í ÀÖ´Ù. ÀÌ·¯ÇÑ °úÀ×Á¤º¸ÀÇ ½Ã´ë, ºòµ¥ÀÌÅ͸¦ È°¿ëÇÏ´Â ºòµ¥ÀÌÅÍ Àü¹®°¡ÀÇ ¿ªÇÒÀº ³¯·Î Ä¿Áö°í, Áß¿äÇÏ´Ù. ¼ö¸¹Àº µ¥ÀÌÅ͸¦ ¼öÁýÇÏ°í, ºÐ·ùÇÏ¿© °á°úÄ¡¸¦ ºÐ¼®Çس»´Â ºòµ¥ÀÌÅÍ Àü¹®°¡µéÀº ¼öÁýµÈ ºòµ¥ÀÌÅͷκÎÅÍ ‘Ưº°ÇÑ Àǹ̒¸¦ ã¾Æ³½´Ù.
“¸¸¾à Á¤ºÎ¿¡¼ ½Ã¹ÎµéÀ» À§ÇØ ´õ ¾ÈÀüÇÑ ±³Åë Á¤Ã¥À» ¸¸µé¾î¾ß ÇÏ´Â »óȲÀÌ ÀÖ´Ù°í ÇÑ´Ù¸é, ´ëºÎºÐÀº ±³Åë»ç°í ¹ß»ýÀÌ ¸¹Àº Áö¿ªÀ̳ª Çб³, ¶Ç´Â ³ë¾àÀÚµéÀÌ ¸¹Àº °÷ µî ´«¿¡ º¸ÀÌ´Â µ¥ÀÌÅ͸¦ È°¿ëÇؼ ¿¬±¸¸¦ ÇØ ±³ÅëÁ¤Ã¥À» ¸¸µé°ÚÁÒ. ±×·±µ¥ ¹®Á¦´Â ¾ÆÁ÷ ±³Åë»ç°í°¡ ¸¹ÀÌ ¹ß»ýÇÏÁö ¾Ê´Â °÷, ±³Åë»ç°í ¹ß»ý ¿¹»óÁö¿ªÀ» ¹Ì¸® ¿¹ÃøÇØ Ã£¾Æ¾ß ÇÑ´Ù¸é ¾î¶»°Ô ÇØ¾ß ÇÒ±î¿ä? ±×¶§ ÀÚµ¿Â÷ °æÀû¼Ò¸®°¡ ¸¹ÀÌ ÀϾ´Â °÷À» ã¾Æ³»´Â °Íµµ ¹æ¹ýÀÌ µÉ ¼ö ÀÖ½À´Ï´Ù. ±×¸¸Å À§ÇèÇÑ »óȲÀÌ ¸¹ÀÌ ¹ß»ýÇÑ´Ù´Â °ÍÀÌ°í, ¶Ç ±³Åë»ç°í·Î À̾îÁú ¼ö ÀÖ´Â °¡´É¼ºÀÌ ³ô´Ù´Â °ÍÀ» ÀǹÌÇÕ´Ï´Ù. ÀÌó·³ ºòµ¥ÀÌÅÍ Àü¹®°¡´Â ¼öÁýµÈ ´Ù¾çÇÑ µ¥ÀÌÅͷκÎÅÍ Æ¯º°ÇÑ Àǹ̸¦ ã°í, ±× Àǹ̸¦ È°¿ëÇÏ¿© »õ·Î¿î °¡Ä¡¸¦ ¸¸µå´Â »ç¶÷µéÀ̶ó°í ¸»ÇÒ ¼ö ÀÖ½À´Ï´Ù.”
ºòµ¥ÀÌÅÍ Àü¹®°¡·Î¼ÀÇ ±æ
¼ ´ëÇ¥´Â ÇöÀç ´Ù¾çÇÑ ºÐ¾ßÀÇ ºòµ¥ÀÌÅÍ ¼öÁý°ú ºÐ¼® Àü¹® ¼Ö·ç¼ÇÀ» Á¦ÀÛÇÏ´Â °³¹ß ȸ»çÀÎ ¢ßÄÁ½Ã¾îÁö¼ÒÇÁÆ®¸¦ ¿î¿µÇÏ°í ÀÖÀ¸¸ç, ºòµ¥ÀÌÅÍ ¼öÁý ¹× ºÐ¼®À» ÇÏ´Â ¢ßµ¥ÀÌÅ;ØÇÇÇÃÀÇ ´ëÇ¥·Î È°µ¿ÇÏ°í ÀÖ´Ù. ÁÖ)ÄÁ½Ã¾îÁö¼ÒÇÁÆ®¿¡¼ ÀÚü °³¹ßÇÑ ¼Ö·ç¼ÇÀº ¼¼¹«»ç »ç¹«½ÇÀÇ Á÷¿øµéÀÌ ÇÏ°í ÀÖ´Â ´ëºÎºÐÀÇ ¼öµ¿ ÀÛ¾÷µéÀ» ÀÚµ¿È½ÃÄÑ, µ¿ÀÏÇÑ ÀοøÀ¸·Îµµ ÈξÀ ´õ ¸¹Àº ¼¼¹« °í°´µéÀÇ µ¥ÀÌÅ͸¦ ó¸®ÇÒ ¼ö ÀÖµµ·Ï µµ¿ÍÁÖ°í ÀÖ´Ù. ¶ÇÇÑ ºòµ¥ÀÌÅÍ ¼öÁý ¹× ºÐ¼®°ü·Ã ƯÇã 4°ÇÀ» º¸À¯ÇÏ°í ÀÖÀ¸¸ç, ¾ÕÀ¸·Î ¿©·¯ °ÇÀ» ´õ Ãâ¿øÇÏ´Â µî ±â¼ú °³¹ß¿¡µµ Áö¼ÓÀûÀ¸·Î ³ë·ÂÇÏ°í ÀÖ´Ù. µ¡ºÙ¿© ¼ ´ëÇ¥´Â ÀÇ·áºÐ¾ß ºòµ¥ÀÌÅÍ ¼öÁý ¹× ºÐ¼® ÇÁ·Î±×·¥µµ °³¹ßÇÒ ¿¹Á¤À̶ó°í ÀüÇß´Ù.
“ÀÇ·á ºÐ¾ßÀÇ ºòµ¥ÀÌÅÍ ¼Ö·ç¼ÇÀ̶ó°í ÇÏ¸é ´ëºÎºÐ ¾ð·Ð¿¡¼ ¸¹ÀÌ ³ëÃâµÆ´ø IBMÀÇ ¿Ó½¼À» »ý°¢ÇϽʴϴÙ. ±×·±µ¥ ¿Ó½¼Àº °¡°ÝÀÌ ³Ê¹« ºñ½Î¼ °³ÀÎ º´¿ø¿¡¼´Â µµÀÔÇÏ´Â °Í¿¡ ¾î·Á¿òÀÌ µû¸¨´Ï´Ù. ±×·¡¼ ¿©·¯ ÀÇ»çµé ¹× °ü·Ã ȸ»çµé°ú Çù·ÂÇÏ¿© Áß¼ÒÇü º´¿ø¿ë ºòµ¥ÀÌÅÍ ¼öÁý ¹× ºÐ¼® ¼Ö·ç¼ÇÀ» °³¹ß Áß¿¡ ÀÖ½À´Ï´Ù. ÀÇ»ç¿Í ȯÀÚµéÀÇ ´ÏÁ ºÐ¼®ÇÏ¿©, ±â´É °³¹ß°ú ¸Ó½Å ·¯´× ±×¸®°í ´Ù¾çÇÑ Àΰø Áö´É °ü·Ã ±â¼úÀ» Á¢¸ñ½ÃÅ°´Â ½Ç¹« ÀÛ¾÷À» ÁøÇàÇÏ°í ÀÖ½À´Ï´Ù. ¶ÇÇÑ ¼¼¹«¿Í ÀÇ·á¿ë ºòµ¥ÀÌÅÍ ¼Ö·ç¼ÇÀ» ÇØ¿Ü·Î ¼öÃâÇÏ´Â °Íµµ Áغñ ÁßÀ̸ç, ÀÌ ¼Ö·ç¼ÇÀ» º¸±â À§ÇØ ¿ÃÇØ 10¿ù°æ¿¡ ³×µ¨¶õµåÀÇ Áß¿äÇÑ ºÐÀ» ÃÊûÇϱ⵵ Çß½À´Ï´Ù. Çѱ¹ÀÇ ¿ì¼ö¼ºÀ» ÇØ¿Ü¿¡ ²À ¾Ë¸®°í ½Í½À´Ï´Ù.” ¶ÇÇÑ ¼ ´ëÇ¥´Â ºòµ¥ÀÌÅͳª µ¥ÀÌÅͺ£À̽º, ÄÄÇ»ÅÍ ÇÁ·Î±×·¡¹Ö °ü·Ã ºÐ¾ß Ã¥À» ÀÌ¹Ì 14±ÇÀ̳ª ÁýÇÊÇßÀ¸¸ç, ´ëÇб³³ª ´ëÇпø, ±×¸®°í KBS ±³¾çÇÁ·Î±×·¥ ¸í°ß¸¸¸®¿¡ Ã⿬ÇÏ¿© ºòµ¥ÀÌÅÍ¿Í 4Â÷ »ê¾÷Çõ¸íÀ» ÁÖÁ¦·Î °ÀǸ¦ ÁøÇàÇÑ ¹Ù ÀÖ´Ù. ÀÌ·¯ÇÑ ¿©·¯ È°µ¿ÀÌ µÞ¹ÞħÀÌ µÇ¾úÀ»±î? ¼ ´ëÇ¥´Â ¾ó¸¶ Àü, ¼¼°è 3´ë Àθí»çÀü Áß ÇϳªÀÎ ‘¸¶¸£ÄûÁî ÈÄÁîÈÄ’ÀÇ µîÀçµÇ´Â ¿µ¿¹¸¦ ¾È¾Ò´Ù. ±×·¸´Ù¸é ¼ ´ëÇ¥´Â ¾ðÁ¦ºÎÅÍ µ¥ÀÌÅÍÀÇ Á߿伺À» ±ú´Ý°í ‘ºòµ¥ÀÌÅÍ Àü¹®°¡’ÀÇ ±æÀ» °È°Ô µÇ¾úÀ»±î?
“»ç½Ç Á¦°¡ µ¥ÀÌÅÍ °ü·Ã ºÐ¾ßÀÇ ÀÏÀ» Á¢ÇÏ°Ô µÈ °ÍÀº ¿ì¿¬Ä¡ ¾ÊÀº ±âȸ ¶§¹®À̾ú½À´Ï´Ù. ¾î·ÈÀ» ¶§, Àú´Â Áý¾È ÇüÆíÀÌ ½ÉÇÏ°Ô ÁÁÁö ¸øÇß¾î¿ä. ÁßÇб³ ¶§ ºÎÅÍ´Â Çϱ³ ÈÄ ½Ã°£¿¡ Á¶¼±¼Ò ±âÀÚÀ縦 ¸¸µå´Â °øÀå¿¡¼ ÀÏÀ» Çϸç, ³²µéº¸´Ù ºñ±³Àû ºü¸¥ ½Ã±â¿¡ »çȸ»ýÈ°À» ½ÃÀÛÇßÁÒ. ±×·¯´Ù°¡ Á¶¼± ±âÀÚÀç ¸¸µå´Â ȸ»ç°¡ ºÎµµ³ª¼ ÄÄÇ»ÅÍ ÂÊÀ¸·Î Á÷Á¾À» ¹Ù²Ù¾ú½À´Ï´Ù. ±× ÈÄ 2001³âµµ¿¡ µ·À» ¹ú±â À§Çؼ, ºÎ»ê¿¡¼ ¹«ÀÛÁ¤ »ó°æÇß½À´Ï´Ù. ±× ¶§, ¼¿ï·Î ¿Ã¶ó¿Í¼ óÀ½ µé¾î°£ Á÷ÀåÀÌ IT °è¿ÀÇ È¸»ç¿´¾î¿ä. ±× ȸ»ç¿¡¼ ÁÖµÈ ¾÷¹«´Â µ¥ÀÌÅͺ£À̽º¸¦ °ü¸®ÇÏ´Â °ÍÀ̾úÁÒ. ¾î´À ³¯ °Å·¡Ã³¿¡¼ µ¥ÀÌÅͺ£À̽º °ü·Ã Àå¾Ö°¡ ¹ß»ýÇß´Ù´Â ¼Ò½ÄÀ» µè°í ¹Ù·Î ÇöÀåÀ¸·Î Ã⵿À» Çß¾î¿ä. ±×·±µ¥ Á¦°¡ µ¥ÀÌÅͺ£À̽º °ü·Ã ÀÏÀ» Çغ» ÀûÀÌ ¾ø¾î¼, ¾Æ¹«·± Á¶Ä¡µµ ÃëÇÏÁö ¸øÇÑ Ã¤ ±×³É º¹±ÍÇØ¾ß Çß½À´Ï´Ù. ±×¶§, Á¤¸» ¸¹ÀÌ È¥³µ¾î¿ä. ´©±¸ Çϳª Á¦´ë·Î °¡¸£ÃÄÁÖ´Â »ç¶÷ÀÌ ¾ø¾úÁÒ. ±Ùµ¥ Á¦°Ô´Â ¼±ÅÃÀÇ ¿©Áö°¡ ¾ø¾ú½À´Ï´Ù. ´çÀå ȸ»ç¸¦ ±×¸¸µÎ¸é, µ·ÀÌ ¾ø¾î¼ ±æ¹Ù´ÚÀ¸·Î ³ª¾É°Ô µÇ´Â »óȲÀ̾úÁÒ. ÇÏ·çÇÏ·ç°¡ Èûµé¾úÁö¸¸ ¹öƾ´Ù´Â »ý°¢À¸·Î µ¥ÀÌÅͺ£À̽º °øºÎ¸¦ Á¤¸» ¿½ÉÈ÷ Çß½À´Ï´Ù. Á¦°Ô´Â »ýÁ¸ÀÌ ´Þ¸° ¹®Á¦¿´°Åµç¿ä. ±×·¸°Ô µ¥ÀÌÅ͸¦ óÀ½ Á¢ÇÏ°Ô µÇ¾ú°í, ±× Á߿伺À» ±ú´Ý±â ½ÃÀÛÇß½À´Ï´Ù. »ç½Ç ±â¾÷ÀÇ ÇÙ½ÉÀº µ¥ÀÌÅÍ¿¡¿ä. µ¥ÀÌÅͺ£À̽º, ¼¹ö°¡ ¹®Á¦°¡ »ý±â¸é ¸ðµç »óȲÀÌ ¿Ã ½ºÅé µÇ°Åµç¿ä. Áö±Ý »ý°¢Çغ¸¸é, ±×¶§ Á¦°¡ µ¥ÀÌÅͺ£À̽º¸¦ ¹è¿ï ¼ö ÀÖ°Ô µÈ °ÍÀº Á¦ Àλý¿¡ ÀÖ¾î, Å« ÃູÀ̶ó°í »ý°¢ÇÕ´Ï´Ù.”
°Å´ëÇÑ ¹°°á, 4Â÷ »ê¾÷Çõ¸í
¿ì¸®³ª¶ó¿¡ 4Â÷ »ê¾÷Çõ¸í ‘ºÕ(boom)’ÀÇ ½ÅȣźÀÌ µÈ »ç°ÇÀº 2016³â 3¿ù, ¾ËÆÄ°í(Alphago)¿Í À̼¼µ¹ °£ÀÇ ¹ÙµÏ ´ë°áÀÌÁö ¾ÊÀ»±î. ±¸±Û µö¸¶Àεå(Google DeepMind)°¡ °³¹ßÇÑ Àΰø Áö´É ¹ÙµÏ ÇÁ·Î±×·¥ÀÎ ¾ËÆÄ°í´Â À̼¼µ¹ 9´ÜÀ» »ó´ë·Î µµÀüÀåÀ» ³»¹Ð¾ú´Ù. Àΰø Áö´É°ú Àΰ£ÀÇ ´ë°áÀ̶ó´Â ±âÁ¸¿¡ º¼ ¼ö ¾ø¾ú´ø, ¼¼±âÀÇ ´ë°áÀÌ ÆîÃÄÁöÀÚ »ç¶÷µéÀº ³Êµµ³ªµµ °ü½ÉÀ» °¡Áö±â ½ÃÀÛÇß´Ù. ¸¹Àº »ç¶÷µé°ú ¹Ìµð¾î¿¡¼´Â ´ëºÎºÐ À̼¼µ¹ 9´ÜÀÇ ½Â¸®¸¦ Á¡ÃÆ´Ù. ±×·¯³ª °á°ú´Â ¿¹»ó°ú´Â ´Ù¸£°Ô Èê·¯°¬´Ù. ¾ËÆÄ°í°¡ À̼¼µ¹ 9´Ü¿¡ 4´ë 1·Î ½Â¸®ÇÏ°Ô µÇÀÚ, »ç¶÷µéÀº Àΰø Áö´ÉÀÇ ºñ¾àÀûÀÎ ¹ßÀü¿¡ °¨ÅºÇϸ鼵µ, µÎ·Á¿òÀ» °¨ÃßÁö ¸øÇß´Ù. ±×µ¿¾È »ç¶÷ÀÌ ÇØ¿Ô´ø ÀÏÀ» ¸ðµÎ Àΰø Áö´É, ·Îº¿µéÀÌ ´ëüÇÑ´Ù°í »ý°¢ÇÏ´Ï ÀÚ½ÅÀÇ Á÷¾÷, ºñÀü°ú Àü¸ÁÀ» ´Ù½Ã »ý°¢ÇØ¾ß Ç߱⠶§¹®ÀÌ´Ù. ±×Á¦¾ß ¿ì¸®³ª¶ó¿¡¼µµ 4Â÷ »ê¾÷Çõ¸íÀ̶ó´Â »õ·Î¿î ½Ã´ë°¡ µµ·¡ÇßÀ½À» ÇǺηΠ½Ç°¨Çß´Ù.
“¿ì¸®´Â ÇöÀç 4Â÷ »ê¾÷Çõ¸íÀ̶ó´Â °Å´ëÇÑ Æĵµ°¡ Ä¡´Â ½Ã´ë¿¡ »ì°í ÀÖ½À´Ï´Ù. ÀÌ ½Ã´ëÀÇ °¡Àå Å« Ư¡Àº ƯÁ¤ÇÑ ÇÑ °¡Áö ±â¼úÀÌ Áß¿äÇÑ ½Ã´ë°¡ ¾Æ´Ï¶ó Àΰø Áö´É°ú ºòµ¥ÀÌÅÍ, ·Îº¿ µîÀÇ ÃÖ÷´Ü ±â¼úµéÀÌ À¶ÇÕµÇ¾î »õ·Î¿î °¡Ä¡¸¦ ¸¸µé¾î³»´Â ½Ã´ëÀÔ´Ï´Ù. ÇÏ·ç°¡ ´Ù¸£°Ô ¹Ù²î¾î°¡°í ÀÖÀ¸¸ç, ±× º¯ÈÀÇ ¼Óµµ°¡ ¸Å¿ì ºü¸¨´Ï´Ù. ¸¸¾à ÀÌ·¯ÇÑ ½Ã´ë¸¦ ÀÎÁöÇÏÁö ¸øÇÏ°í, ÀûÀÀÇÏÁö ¸øÇÑ´Ù¸é »ç¶÷Àº Á¤¸» °¡Ä¡°¡ ¾ø´Â Á¸Àç°¡ µÉÁöµµ ¸ð¸¨´Ï´Ù. ÀÌ¹Ì ¿ì¸® ÁÖº¯¿¡¼µµ ÀÌ·¯ÇÑ Â¡ÈĵéÀÌ ¿©·¯ ºÐ¾ß¿¡ °ÉÃļ ÀϾ°í ÀÖ½À´Ï´Ù. ƯÈ÷ Á¦Á¶¾÷ ºÐ¾ßÀÇ ÀÚµ¿È ¼Óµµ¸¦ º¸¸é, ÀÌ¹Ì Àΰ£µéÀÌ ÇÏ´Â ¿ªÇÒÀ» ±â°è°¡ ´ëüÇÏ°í ÀÖ½À´Ï´Ù. »ý»ê·Â¸¸À» ³õ°í º¸¸é, Àΰ£º¸´Ù ¿ùµîÇÏÁÒ. ÀÌ·¯ÇÑ 4Â÷ »ê¾÷Çõ¸í½Ã´ë, ±×¸®°í ´õ ¸Õ ¹Ì·¡¿¡ »ç¶÷µéÀº ¾î¶»°Ô ÇÏ¸é ·Îº¿À̳ª Àΰø Áö´Éº¸´Ù ´õ °¡Ä¡°¡ ÀÖÀ»±î¿ä? ÀÏ°¢¿¡¼´Â ·Îº¿ÀÌ ÇÒ ¼ö ¾ø´Â ºÐ¾ß¸¦ ã¾Æ¼ Ç϶ó´Â ¸»µµ ÀÖÁö¸¸, Àú´Â ¸ÓÁö¾Ê¾Æ ±×·± ºÐ¾ß´Â ¾øÀ» °ÍÀ̶ó »ý°¢µË´Ï´Ù. ±â¼úÀÌ ¹ßÀüÇÒ¼ö·Ï ÀÚµ¿Â÷´Â ´õ¿í ´õ »¡¶óÁö°í ÀÖ½À´Ï´Ù. ¿ì¸®°¡ ÀÚµ¿Â÷º¸´Ù ´õ »¡¸® ´Þ¸± ¼ö ÀÖÀ»±î¿ä? ÀÚµ¿Â÷º¸´Ù »¡¸® ´Þ¸®±â À§Çؼ ³ë·ÂÇÏÁö ¸»°í, ÀÚµ¿Â÷¸¦ ¿îÀüÇÏ´Â »ç¶÷ÀÌ µÇ¾î¾ß ÇÕ´Ï´Ù. Áï º¯ÈÀÇ È帧À» ¹Þ¾ÆµéÀÌ°í, À̸¦ È°¿ëÇÒ ¼ö ÀÖ´Â »ç¶÷ÀÌ µÈ´Ù¸é, °Å±â¿¡¼ ±× »ç¶÷¸¸ÀÇ ¾ÆÀ̵§Æ¼Æ¼°¡ ¸¸µé¾îÁú °ÍÀ̶ó »ý°¢µË´Ï´Ù.”
¹Ì·¡ÀÇ Àü¹®°¡ ¾ç¼ºÀ» ²Þ²Ù´Ù
¼ ´ëÇ¥´Â ¾ÕÀ¸·Î Àڶ󳪴 û³âµéÀÌ »ç¶óÁö´Â Á÷¾÷, ±×·¯ÇÑ ²ÞÀ» ÁÀ±âº¸´Ù ¹Ì·¡¸¦ º¸°í »õ·Ó°Ô ³ªÅ¸³ª´Â Á÷¾÷À» °¡Áö±æ ¹Ù¶ú´Ù. ±×·¯±â À§Çؼ´Â ½Ã´ë º¯ÈÀÇ È帧À» ¸ÕÀú ±ú´Þ¾Æ¾ßÇÏ°í, ±×¿¡ µû¸¥ ±³À°ÀÌ ÀÌ·ç¾îÁ®¾ß ÇÑ´Ù°í ÀüÇß´Ù.
“Á¦ ²Þ Áß Çϳª°¡ ÇлýµéÀÇ Àλý¿¡ ÈûÀÌ µÇ´Â ±³À°À» ÇÏ´Â ±³À°±â°üÀ» ¼³¸³ÇÏ´Â °ÍÀÔ´Ï´Ù. Á¦°¡ ¾î·ÈÀ» Àû¿¡ °¡³Ç߱⠶§¹®¿¡, ÁøÂ¥ ÇÏ°í ½ÍÀº °øºÎ¸¦ ÇÏÁö ¸øÇÏ°í, ÀÏÀ» ÇØ¾ß Çß¾úÁÒ. ¸¸¾à ‘´õ ¹è¿ì°í, °øºÎ¸¦ ÇÒ ¼ö Àִ ȯ°æÀÌ ÁÖ¾îÁ³´Ù¸é ´õ ¸¹Àº °ÍÀ» ÇÒ ¼ö ÀÖ¾úÀ» ÅÙµ¥’¶ó´Â »ý°¢À» °¡²û¾¿ ÇÏ°ï ÇÕ´Ï´Ù. Àú¿Í °°Àº ȯ°æÀ» °¡Áø ÇлýµéÀÌ ¸¹À» °ÍÀ̶ó´Â »ý°¢ÀÌ µé¾î¿ä. ¹Ì·¡ÀÇ Æ¯Á¤ÇÑ ºÐ¾ß Àü¹®°¡¸¦ ¾ç¼ºÇÒ ¼ö ÀÖ°í, ȯ°æÀûÀ¸·Î Èûµç »ç¶÷µéÀ» À§ÇØ °øºÎÇÒ ¼ö Àִ ȯ°æÀ» ¸¸µé¾îÁÖ´Â °Í. ÀÌ·¯ÇÑ ±³À°ÀÇ ÀåÀ» ¸¸µå´Â °ÍÀÌ Á¦ ¸ñÇ¥ÀÔ´Ï´Ù. ±×¶§±îÁö ¿½ÉÈ÷ °ÀÇÇÏ°í, Ã¥À» ÁýÇÊÇÏ´Â È°µ¿À» ÅëÇØ ¸¹Àº »ç¶÷µéÀÌ ÀÌ·¯ÇÑ º¯È¿¡ ¹ß¸ÂÃç ÁغñÇØ ³ª°¥ ¼ö ÀÖµµ·Ï µµ¿òÀÌ µÇ°í ½Í½À´Ï´Ù.” ³Ê¹«µµ ºü¸£°Ô º¯ÇÏ´Â ½Ã´ëÀÇ È帧 ¼Ó¿¡¼, ÇÑÄ¡ ¾ÕÀ» ¾Ë ¼ö ¾ø´Â ¹Ì·¡¿¡ »ç¶÷µéÀº ºÒ¾ÈÇÏ´Ù. ƯÈ÷ Àΰø Áö´É, ·Îº¿ÀÌ ¹ßÀüÇÔ¿¡ µû¶ó Àΰ£ÀÇ ³ëµ¿·ÂÀ» ´ëüÇÏ°Ô µÇ¸é¼, »ý»ê·ÂÀº ¿Ã¶ó°¬Áö¸¸ ±×°ÍÀÌ ¸¶³É ´Þ°¡¿î °ÍÀº ¾Æ´Ï´Ù. ¾ðÁ¦ ¾îµð¼, ³ª¸¦ ´ë½ÅÇÏ´Â ¹«¾ð°¡°¡ ³ªÅ¸³ª°Ô µÈ´Ù¸é, ³» ¹Ì·¡ ¿ª½Ã ºÒÅõ¸íÇϱ⠶§¹®ÀÌ´Ù. ÀÌ¿¡ ¼ ´ëÇ¥´Â “º¯È¸¦ µÎ·Á¿öÇÏÁö ¸»°í º¯ÈÀÇ È帧À» ¹Þ¾ÆµéÀ̸é¼, À̸¦ È°¿ëÇÒ ¼ö ÀÖ´Â »ç¶÷ÀÌ µÈ´Ù¸é Á¦4Â÷ »ê¾÷Çõ¸í»Ó ¾Æ´Ï¶ó, 5~6Â÷ »ê¾÷Çõ¸íÀÌ ´Ù°¡¿À´õ¶óµµ ÀûÀÀÇÒ ¼ö ÀÖÀ» °ÍÀÌ´Ù”¶ó°í ÀüÇß´Ù. ÀÌó·³ ´Ù¾çÇÑ È°µ¿À» ÅëÇØ »ç¶÷µé¿¡°Ô ¹Ì·¡¸¦ ´ëºñÇÒ ¼ö ÀÖµµ·Ï ¼±ÇÑ ¿µÇâ·ÂÀ» ³¢Ä¡°í ÀÖ´Â ¼Áø¼ö ´ëÇ¥. ÀÌ°ÍÀÌ ¾ÕÀ¸·Îµµ ¼Áø¼ö ´ëÇ¥ÀÇ ¿©·¯ È°µ¿ÀÌ ±â´ë°¡ µÇ´Â ÀÌÀ¯°¡ ¾Æ´Ò±î?
Big data prepares you for the 4th Industrial Revolution
"Big data makes works convenient at accounting firms and hospitals"
CEO Seo Jin-su of Concierge Software and of Data & People
The 'application' is the flower of big data in the age of the 4th Industrial Revolution
Vast amount of knowledges are useless unless they are used. So called 'big data' is a one whole gathering of articles, documents, tests, voices and video images. From this big data, people draw prediction and decision to create meaningful information which is the core value of AI and bid data in the coming age of the 4th Industrial Revolution.
CEO Seo Jin-su of Concierge Software and of Data & People worked in the manufacturing industry up until late 80s and changed his course to computer network in the mid 90s. From there, he expanded his scope to data base from 2000 which has led to the current big date specialist.
He has written 14 bestselling books on big data, data base and computer programing and given numerous lectures at educational and public institutions. As a result, his name has been listed in the one of the world's three biographical dictionaries 'Marquis Who's Who'.
Back then, according to Seo, the purpose of the DBMS programs was at saving and management of information but he questioned about its 'application'. He then started to turn his eyes to CRM (Customer Relationship Management) and ERP (Enterprise Resource Planning).
The media in the world today is pouring out the importance of AI and big data. But Seo emphasizes on the 'application' of those by saying that "Application is the flower of bid date." Seo launched R&D for bid data 7 years ago and has brought up solutions for gathering, analysis and application.
From introducing high efficiency accounting analysis program to making data software for hospital
Seo has obtained 4 patents for software-related developments and applied for a number of other patents at the moment. Seo is running the firms at 2 track-based for effective gathering and analysis of big data. Concierge Software, for example, makes and trains data analysis programs. Seo says that data gathering is more difficult than analysis and application and for this he is developing an accounting software that can process account balance inquiries and sorting out receipts within 20 minutes which normally takes about 10 hours by the human hands.
Date & People, on the other hand, is developing an accounting automation program in cooperation with Concierge Software and 90% has currently been completed. It will be a good news for many accountants as the program will make their job simple and easy and they can pay more time and attention instead to inviting clients and give consulting.
Seo goals to release the program by early next year in Korea and by late next year overseas. For this, he has already arranged a presentation for a government official from the Netherlands who will visit Korea late October this year for the program.
Apart from the accounting software, Seo is working on hospital software. Many large hospitals are using the IBM big data AI program called 'Watson' or self-developed HIS (Hospital Information System). The problem is that small and medium hospitals cannot afford tens of millions of dollars for the equipment. Therefore, Soe is carrying out gathering and analysis of related data and planning to launch the development by the end of the year or within next yeat at the latest.
Establishing a big data training school
Seo is regretful that there are many educational institutes customized to the 4th Industrial Revolution in many advanced countries while Korea still lacks the substantial training and related institutes. As part of this effort, he is actively engaging himself in lectures on big data application for both private and public sector workers. He also has appeared on a number of TV programs including KBS <Good Insight> and <Big Discussion> and has written a number of bestselling books.
Seo emphasizes on application of various technologies to create new values. It is worthwhile benchmarking the effective cases of the advanced countries like the US, Germany and Japan but what is worthier is to turn the benchmarked customized to Korean environment.
In the US and Europe, robots are already running like man on the street and the manless vehicles also have upgraded its automation to the level 3. Not only this, the AI technologies charge the consumer when picking up a product automatically and the system signals the factory to make one more. This way, the company can reduce production cost, predict inventory and promote the bestselling time of the day or period.
Alarmed by this, Seo is determined to write more helpful books alongside lecturing and development of softwares especially for young Korean people. But Seo has bigger ambition than this: establishing a big data training school by gathering people in their 50s who have the same mind as him in order to lay systematic foundations for the coming 4th Industrial Revolution.
¿À»óÇå ±âÀÚ osh0416@naver.com