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Today โ€” 16 December 2025IT

2025ๅนดใ‚ขใƒ•ใƒชใ‚ซใƒปใƒ•ใ‚ฃใƒณใƒ†ใƒƒใ‚ฏ็ทๆ‹ฌ๏ผš้ธๅˆฅใจๅ†็ทจใฎๅ…ˆใซ่ฆ‹ใˆใŸใ€ŒๆŒ็ถšๅฏ่ƒฝใชๆˆ้•ทใ€

16 December 2025 at 05:25

่ณ‡้‡‘ใฏๆˆปใ‚‹ใ‚‚ๆกไปถใฏๅŽณๆ ผๅŒ–โ”€โ”€ใ€Œๆˆ้•ทใ€ใ‚ˆใ‚Šใ€ŒๆŒ็ถšๆ€งใ€ใ‚’่ฒทใ†ๅธ‚ๅ ดใธ

2025ๅนดใฏใ€่ณ‡้‡‘ใฎๆตใ‚ŒใŒๅฎŒๅ…จใซๆญขใพใฃใฆใ„ใŸใ‚ใ‘ใงใฏใชใ„ใ“ใจใŒๆ•ฐๅญ—ใฎไธŠใงใ‚‚็ขบ่ชใ•ใ‚Œใพใ—ใŸใ€‚็‰นใซไธŠๅŠๆœŸใฏ่ณ‡้‡‘่ชฟ้”ใŒ็ฉใฟไธŠใŒใ‚‹ใจๅŒๆ™‚ใซใ€M&A๏ผˆๅˆไฝตใƒป่ฒทๅŽ๏ผ‰ใŒๆดป็™บๅŒ–ใ—ใพใ—ใŸใ€‚ใ“ใ“ใงๆณจ็›ฎใ™ในใใฏใ€ใƒ•ใ‚ฃใƒณใƒ†ใƒƒใ‚ฏใ‚’ไธญๅฟƒใจใ—ใŸ็ตฑๅˆใŒ้€ฒใ‚“ใ ็‚นใงใ™ใ€‚ใ“ใ‚Œใฏๅ˜ใซไผธใณๆ‚ฉใ‚“ใ ไผๆฅญใฎๆ•‘ๆธˆใงใฏใชใใ€่ฆๅˆถๅฏพๅฟœใ‚„่ฒฉ่ทฏๆ‹กๅคงใ€ๆฑบๆธˆๅŸบ็›คใฎ็ฒๅพ—ใ‚’่ฆ‹ๆฎใˆใŸใ€Œๅผทใใชใ‚‹ใŸใ‚ใฎ็ตฑๅˆใ€ใจใ„ใ†่‰ฒๅˆใ„ใŒๆฟƒใใชใฃใฆใ„ใพใ™ใ€‚

ใ“ใฎใ€Œ็ตฑๅˆใ€ใฎๆณขใฏใ€ใ‚นใ‚ฟใƒผใƒˆใ‚ขใƒƒใƒ—ๅŒๅฃซใซ็•™ใพใ‚Šใพใ›ใ‚“ใ€‚ๅ—ใ‚ขใƒ•ใƒชใ‚ซใงใฏๅคงๆ‰‹้Š€่กŒNedbankใŒๆฑบๆธˆใƒ•ใ‚ฃใƒณใƒ†ใƒƒใ‚ฏiKhokhaใฎ่ฒทๅŽใซๅˆๆ„ใ™ใ‚‹ใชใฉใ€้Š€่กŒใŒใƒ•ใ‚ฃใƒณใƒ†ใƒƒใ‚ฏใ‚’ใ€Œ็ซถๅˆใ€ใจใ—ใฆๆŽ’้™คใ™ใ‚‹ใฎใงใฏใชใใ€่‡ช็คพใฎๆˆ้•ทใซๆฌ ใ‹ใ›ใชใ„ใ€Œใƒ”ใƒผใ‚นใ€ใจใ—ใฆๅ–ใ‚Š่พผใ‚€ๅ‹•ใใŒๅŠ ้€Ÿใ—ใพใ—ใŸใ€‚ใ“ใ‚Œใฏ2025ๅนดใซใŠใ‘ใ‚‹็พๅฎŸ็š„ใชๆˆ้•ทๆˆฆ็•ฅใฎ่ฑกๅพดใจ่จ€ใˆใพใ™ใ€‚

ๆŠ•่ณ‡ๅฎถใฎ่ฆ–็‚นใ‚‚ๅค‰ๅŒ–ใ—ใพใ—ใŸใ€‚ใ€ŒๅฃฒไธŠใฎๆ€ฅๆ‹กๅคงใ€ใ ใ‘ใงใชใใ€ใ€Œ่ฆๅˆถใ‚ณใ‚นใƒˆใ€ใ€Œไธๆญฃๅฏพ็ญ–ใ€ใ€Œๅ›žๅŽ็އใ€ใจใ„ใฃใŸๅ …ๅฎŸใชKPI๏ผˆ้‡่ฆๆฅญ็ธพ่ฉ•ไพกๆŒ‡ๆจ™๏ผ‰ใŒ้‡่ฆ–ใ•ใ‚Œใ‚‹ใ‚ˆใ†ใซใชใฃใฆใ„ใพใ™ใ€‚ใ“ใ‚Œใฏใƒใ‚ฌใƒ†ใ‚ฃใƒ–ใช่ฆ็ด ใงใฏใชใใ€ๅธ‚ๅ ดใŒๆˆ็†Ÿใ—ใฆใ„ใ‚‹่จผๆ‹ ใงใ™ใ€‚ ๅฎŸ้š›ใ€2025ๅนดใฎ่ณ‡้‡‘่ชฟ้”็’ฐๅขƒใฏ้ŽๅŽปใฎ่ฝใก่พผใฟๅฑ€้ขใ‚ˆใ‚Šๆ”นๅ–„ใ—ใฆใŠใ‚Šใ€ๅธ‚ๅ ดใฏใ€Œ็†ฑ็‹‚ใ€ใ‹ใ‚‰ใ€Œๆคœ่จผใจ็ถ™็ถšใ€ใธใจ่ณ‡้‡‘ใฎๆ€ง่ณชใ‚’ใ‚ทใƒ•ใƒˆใ•ใ›ใพใ—ใŸใ€‚

ใใฎๅœŸๅฐใจใ—ใฆใ€ใƒขใƒใ‚คใƒซใƒžใƒใƒผ็ตŒๆธˆๅœใŒใ€Œๅฝ“ใŸใ‚Šๅ‰ใฎใ‚คใƒณใƒ•ใƒฉใ€ใจใ—ใฆๅฎš็€ใ—็ถšใ‘ใฆใ„ใ‚‹็‚นใฏ่ฆ‹้€ƒใ›ใพใ›ใ‚“ใ€‚ๅนด้–“ใง1ๅ…†ใƒ‰ใƒซใ‚’่ถ…ใˆใ‚‹่ฆๆจกใซ้”ใ—ใŸใƒขใƒใ‚คใƒซใƒžใƒใƒผใจใ„ใ†ๅทจๅคงใชใƒฌใƒผใƒซใฎไธŠใงใ€ใ„ใ‹ใซๅ•†ๆตใƒปไธŽไฟกใƒปไฟ้™บใƒปB2Bๆฑบๆธˆใจใ„ใฃใŸไป˜ๅŠ ไพกๅ€คใ‚’็ฉใฟไธŠใ’ใ‚‰ใ‚Œใ‚‹ใ‹ใŒใ€ไปŠใฎ็ซถไบ‰ใฎ่ปธใซใชใฃใฆใ„ใพใ™ใ€‚

ๅ›ฝๅขƒใ‚’่ถŠใˆใ‚‹ๆฑบๆธˆใ‚คใƒณใƒ•ใƒฉใŒใ€Œๆ”ฟ็ญ–ใ€ใ‹ใ‚‰ใ€Œๅ•†็”จใ‚ตใƒผใƒ“ใ‚นใ€ใธ

2025ๅนดใฎใ‚‚ใ†ไธ€ใคใฎไธปๅฝนใฏใ€ใ‚ฏใƒญใ‚นใƒœใƒผใƒ€ใƒผๆฑบๆธˆใฎใ€ŒๅฎŸ็”จๅŒ–ใ€ใงใ™ใ€‚ใ“ใ‚Œใพใงใ‚ขใƒ•ใƒชใ‚ซๅคง้™ธ่‡ช็”ฑ่ฒฟๆ˜“ๅœ๏ผˆAfCFTA๏ผ‰ใŒๆŽฒใ’ใฆใใŸๅŸŸๅ†…ๅ–ๅผ•ๆ‹กๅคงใฎ็†ๅฟตใŒใ€ๆฑบๆธˆใจ็‚บๆ›ฟใจใ„ใ†็พๅฎŸ็š„ใช่ชฒ้กŒ่งฃๆฑบใซๅ‘ใ‘ใฆๅ‹•ใๅ‡บใ—ใพใ—ใŸใ€‚

็‰น็ญ†ใ™ในใใฏPAPSS๏ผˆๆฑŽใ‚ขใƒ•ใƒชใ‚ซๆฑบๆธˆใƒปๆฑบๆธˆใ‚ทใ‚นใƒ†ใƒ ๏ผ‰ใฎ้€ฒๅฑ•ใงใ™ใ€‚็ฑณใƒ‰ใƒซใชใฉใฎใƒใƒผใƒ‰ใ‚ซใƒฌใƒณใ‚ทใƒผใ‚’ไป‹ใ•ใšใซๅŸŸๅ†…ๆฑบๆธˆใ‚’่กŒใ†ๆง‹ๆƒณใ‚’ๆŽจ้€ฒใ—ใ€2025ๅนดใซใฏ้€š่ฒจไบคๆ›ใƒ—ใƒฉใƒƒใƒˆใƒ•ใ‚ฉใƒผใƒ ใฎ็ซ‹ใกไธŠใ’่จˆ็”ปใ‚‚็คบใ•ใ‚Œใพใ—ใŸใ€‚็‚บๆ›ฟๆตๅ‹•ๆ€งใฎไฝŽใ„ๅธ‚ๅ ดใŒๅคšใ„ใ‚ขใƒ•ใƒชใ‚ซใซใŠใ„ใฆใ€ๆฑบๆธˆใใฎใ‚‚ใฎใ‚ˆใ‚Šใ€Œใฉใ†ไธกๆ›ฟใ™ใ‚‹ใ‹ใ€ใจใ„ใ†ๆ‘ฉๆ“ฆใŒ่งฃๆถˆใ•ใ‚Œใ‚Œใฐใ€่ˆช็ฉบใ€ๅ•†็คพใ€ไธญๅฐใฎ่ผธๅ‡บๅ…ฅใซ่‡ณใ‚‹ใพใงใ€ใƒ•ใ‚ฃใƒณใƒ†ใƒƒใ‚ฏใŒ่ฒข็Œฎใงใใ‚‹ไฝ™ๅœฐใฏๆ ผๆฎตใซๅบƒใŒใ‚Šใพใ™ใ€‚ ๆฑใƒปๅ—้ƒจใ‚ขใƒ•ใƒชใ‚ซใงใ‚‚ๅœฐๅŸŸ็ตŒๆธˆๅœCOMESAใŒใƒ‡ใ‚ธใ‚ฟใƒซๅฐๅฃฒๆฑบๆธˆใƒ—ใƒฉใƒƒใƒˆใƒ•ใ‚ฉใƒผใƒ ใ‚’็ซ‹ใกไธŠใ’ใ‚‹ใชใฉใ€ใ‚ฏใƒญใ‚นใƒœใƒผใƒ€ใƒผๆฑบๆธˆใฏๅ˜ใชใ‚‹้€้‡‘ใ‚ขใƒ—ใƒชใฎๅˆฉไพฟๆ€งๅ‘ไธŠใ‚’่ถ…ใˆใ€่ฒฟๆ˜“ใ‚„ใ‚ตใƒ—ใƒฉใ‚คใƒใ‚งใƒผใƒณใฎ็”Ÿ็”ฃๆ€งใซ็›ด็ตใ™ใ‚‹ใƒ†ใƒผใƒžใจใ—ใฆๆ‰ฑใ‚ใ‚Œๅง‹ใ‚ใพใ—ใŸใ€‚

ใพใŸใ€ใ‚ฐใƒญใƒผใƒใƒซไผๆฅญใ‚‚ใ‚ขใƒ•ใƒชใ‚ซใ‚’้‡่ฆๆ‹ ็‚นใจใ—ใฆๅ†ๅฎš็พฉใ—ใฆใ„ใพใ™ใ€‚VisaใŒใƒจใƒใƒใ‚นใƒ–ใƒซใ‚ฐใซใ‚ขใƒ•ใƒชใ‚ซๅˆใฎใƒ‡ใƒผใ‚ฟใ‚ปใƒณใ‚ฟใƒผใ‚’้–‹่จญใ—ใŸใ“ใจใฏใ€ๆฑบๆธˆใ‚คใƒณใƒ•ใƒฉใซใŠใ‘ใ‚‹ใ€Œๅ‡ฆ็†่ƒฝๅŠ›ใ€ใจใ€Œใƒ‡ใƒผใ‚ฟไธปๆจฉใ€ใŒใ€ๅ˜ใชใ‚‹ใ‚ณใ‚นใƒˆใงใฏใชใๅ›ฝๅฎถใ‚„็”ฃๆฅญใฎ็ซถไบ‰ๅŠ›ใจใ—ใฆ่ช่ญ˜ใ•ใ‚Œๅง‹ใ‚ใŸใ“ใจใ‚’็คบๅ”†ใ—ใฆใ„ใพใ™ใ€‚ ๆ—ขๅญ˜ใฎๅทจๅคงใƒ—ใƒฌใ‚คใƒคใƒผใงใ‚ใ‚‹Safaricomใ‚‚M-PESAใฎๅคง่ฆๆจกใ‚ขใƒƒใƒ—ใ‚ฐใƒฌใƒผใƒ‰ใ‚’็™บ่กจใ™ใ‚‹ใชใฉใ€ใ‚ขใƒ•ใƒชใ‚ซใฎใƒ•ใ‚ฃใƒณใƒ†ใƒƒใ‚ฏใฏใ€Œใ‚ขใƒ—ใƒชใฎ็™บๆ˜Žใ€ๆฎต้šŽใ‹ใ‚‰ใ€ใ€Œ็คพไผšใ‚คใƒณใƒ•ใƒฉใจใ—ใฆใฎๅฎ‰ๅฎš้‹็”จใ€ใ‚’็ซถใ†ใƒ•ใ‚งใƒผใ‚บใธใจ็งป่กŒใ—ใฆใ„ใพใ™ใ€‚

่ฆๅˆถใฎใ‚ขใƒƒใƒ—ใƒ‡ใƒผใƒˆใŒไบ‹ๆฅญๆˆฆ็•ฅใฎไธญๆ ธใซ

2025ๅนดใฏใ€Œ่ฆๅˆถใŒๅŽณใ—ใใชใฃใŸๅนดใ€ใจใ„ใ†ใ‚ˆใ‚Šใ€ใ€Œ่ฆๅˆถใŒๆ•ดๅ‚™ใ•ใ‚Œใ€ไบ‹ๆฅญๆˆฆ็•ฅใฎไธ€้ƒจใซใชใฃใŸๅนดใ€ใงใ—ใŸใ€‚ใ“ใ‚Œใพใงใ‚ฐใƒฌใƒผใ‚พใƒผใƒณใงๆˆ้•ทใ—ใฆใใŸ้ ˜ๅŸŸใปใฉใ€ใƒซใƒผใƒซใƒกใ‚คใ‚ญใƒณใ‚ฐใธใฎๅฏพๅฟœใŒๅ‹ๆ•—ใ‚’ๅˆ†ใ‘ใ‚‹ๅฑ€้ขใซๅ…ฅใฃใฆใ„ใพใ™ใ€‚

ๆš—ๅท่ณ‡็”ฃ้ ˜ๅŸŸใงใฏใ€ใ‚ฑใƒ‹ใ‚ข่ญฐไผšใŒ่ฆๅˆถๆณ•ๆกˆใ‚’ๅฏๆฑบใ™ใ‚‹ใชใฉใ€ใƒฉใ‚คใ‚ปใƒณใ‚นใ‚„็›ฃ็ฃใฎๆž ็ต„ใฟใ‚’ๆ˜Ž็ขบๅŒ–ใ™ใ‚‹ๅ‹•ใใŒ้€ฒใฟใพใ—ใŸใ€‚ใ“ใ‚ŒใฏๆŠ•่ณ‡ใฎๅ‘ผใณ่พผใฟใจ็Šฏ็ฝชๅฏพ็ญ–ใ‚’ไธก็ซ‹ใ•ใ›ใ‚‹ใŸใ‚ใฎใ€Œๅˆถๅบฆ่จญ่จˆใ€ใธใฎไธ€ๆญฉใงใ™ใ€‚ ไธŽไฟกๅˆ†้‡Žใงใ‚‚ๅŒๆง˜ใซใ€ๆถˆ่ฒป่€…ไฟ่ญทใ‚„็›ฃ็ฃใฎๅฎŸ่ฃ…ใŒ็„ฆ็‚นใจใชใฃใฆใ„ใพใ™ใ€‚ใƒขใƒใ‚คใƒซ่ตท็‚นใฎๅณๆ™‚ไธŽไฟกใฏ้‡‘่žๅŒ…ๆ‘‚ใฎๆญฆๅ™จใงใ‚ใ‚‹ไธ€ๆ–นใ€้Žๅ‰ฐ่ฒธไป˜ใชใฉใฎ็คพไผš่ชฒ้กŒใ‚‚ๅญ•ใ‚“ใงใ„ใพใ™ใ€‚ใ“ใ“ใ‹ใ‚‰ๅ…ˆใฎๆˆ้•ทใฏใ€่ฆๅˆถ้ †ๅฎˆใจ่กจ่ฃไธ€ไฝ“ใฎใ‚‚ใฎใจใชใ‚‹ใงใ—ใ‚‡ใ†ใ€‚

ใƒŠใ‚คใ‚ธใ‚งใƒชใ‚ขใซใŠใ‘ใ‚‹ๅค–็‚บใƒซใƒผใƒซใฎๅค‰ๆ›ดใจไธกๆ›ฟๅ•†ใฎใƒฉใ‚คใ‚ปใƒณใ‚นๅ†็ทจใซ่ฆ‹ใ‚‰ใ‚Œใ‚‹ใ‚ˆใ†ใซใ€ใƒžใ‚ฏใƒญ็ตŒๆธˆใฎๆบใ‚Œใจ่ฆๅˆถใฎๅค‰ๆ›ดใฏใ€ใƒ•ใ‚ฃใƒณใƒ†ใƒƒใ‚ฏไผๆฅญใฎใƒ—ใƒญใƒ€ใ‚ฏใƒˆ่ฆไปถใใฎใ‚‚ใฎใซใชใฃใฆใ„ใพใ™ใ€‚ ใ“ใ†ใ—ใŸๆฝฎๆตใฎๅ…ˆใซใ‚ใ‚‹ใฎใฏใ€ใƒ•ใ‚ฃใƒณใƒ†ใƒƒใ‚ฏไผๆฅญใฎใ€Œ้‡‘่žๆฉŸ้–ขๅŒ–ใ€ใงใ‚ใ‚Šใ€IPO๏ผˆๆ–ฐ่ฆๆ ชๅผๅ…ฌ้–‹๏ผ‰ใฎ็พๅฎŸๅ‘ณใงใ™ใ€‚AIไธŽไฟกใ‚’ๆ‰‹ใŒใ‘ใ‚‹ไผๆฅญใฎไธŠๅ ด่จˆ็”ปใชใฉใŒๅ ฑใ˜ใ‚‰ใ‚ŒใŸใฎใ‚‚ใ€่ฆๅˆถใจๅธ‚ๅ ดใ‚คใƒณใƒ•ใƒฉใŒๆ•ดใ†ใซใคใ‚Œใ€ใ€Œๅ…ฌ้–‹ๅธ‚ๅ ดใง่ฉ•ไพกใ•ใ‚Œใ‚‹ๆˆ้•ทใƒขใƒ‡ใƒซใ€ใŒๆˆ็ซ‹ใ—ใ‚„ใ™ใใชใฃใฆใ„ใ‚‹ใ“ใจใ‚’็คบใ—ใฆใ„ใพใ™ใ€‚

2026ๅนดใซๅ‘ใ‘ใฆๅ•ใ‚ใ‚Œใ‚‹ใฎใฏใ€ไธ€้Žๆ€งใฎ่ฉฑ้กŒๆ€งใงใฏใชใใ€ๅŸŸๅ†…ๆฑบๆธˆใฎใƒฌใƒผใƒซใ€ไธŽไฟกใฎๅฅๅ…จๆ€งใ€้€ๆ˜Žๆ€งใ€ใใ—ใฆไธๆญฃๅฏพ็ญ–ใ‚’ๅซใ‚€็ทๅˆ็š„ใชใ€Œ้‹็”จๅŠ›ใ€ใงใ™ใ€‚2025ๅนดใฏใ€ใ‚ขใƒ•ใƒชใ‚ซใƒปใƒ•ใ‚ฃใƒณใƒ†ใƒƒใ‚ฏใŒใ€Œๆˆ้•ทใฎ็‰ฉ่ชžใ€ใ‚’่ชžใ‚‹ๆฎต้šŽใ‚’็ต‚ใˆใ€ใ€Œๆˆ้•ทใ‚’็ฎก็†ใ™ใ‚‹ๆŠ€่ก“ใ€ใ‚’็ซถใ„ๅˆใ†ๆˆ็†Ÿใƒ•ใ‚งใƒผใ‚บใธ่ˆตใ‚’ๅˆ‡ใฃใŸ่ปขๆ›็‚นใจใ—ใฆ่จ˜ๆ†ถใ•ใ‚Œใ‚‹ใ“ใจใซใชใ‚‹ใงใ—ใ‚‡ใ†ใ€‚

AI ROI: How to measure the true value of AI

16 December 2025 at 05:01

For all the buzz about AIโ€™s potential to transform business, many organizations struggle to ascertain the extent to which their AI implementations are actually working.

Part of this is because AI doesnโ€™t just replace a task or automate a process โ€” rather, it changes how work itself happens, often in ways that are hard to quantify. Measuring that impact means deciding what return really means, and how to connect new forms of digital labor to traditional business outcomes.

โ€œLike everyone else in the world right now, weโ€™re figuring it out as we go,โ€ says Agustina Branz, senior marketing manager at Source86.

That trial-and-error approach is what defines the current conversation about AI ROI.

To help shed light on measuring the value of AI, we spoke to several tech leaders about how their organizations are learning to gauge performance in this area โ€” from simple benchmarks against human work to complex frameworks that track cultural change, cost models, and the hard math of value realization.

The simplest benchmark: Can AI do better than you?

Thereโ€™s a fundamental question all organizations are starting to ask, one that underlies nearly every AI metric in use today: How well does AI perform a task relative to a human? For Source86โ€™s Branz, that means applying the same yardstick to AI that she uses for human output.

โ€œAI can definitely make work faster, but faster doesnโ€™t mean ROI,โ€ she says. โ€œWe try to measure it the same way we do with human output: by whether it drives real results like traffic, qualified leads, and conversions. One KPI that has been useful for us has been cost per qualified outcome, which basically means how much less it costs to get a real result like the ones we were getting before.โ€

The key is to compare against what humans delivered in the same context. โ€œWe try to isolate the impact of AI by running A/B tests between content that uses AI and those that donโ€™t,โ€ she says.

โ€œFor instance, when testing AI-generated copy or keyword clusters, we track the same KPIs โ€” traffic, engagement, and conversions โ€” and compare the outcome to human-only outputs,โ€ Branz explains. โ€œAlso, we treat AI performance as a directional metric rather than an absolute one. It is super useful for optimization, but definitely not the final judgment.โ€

Marcโ€‘Aurele Legoux, founder of an organic digital marketing agency, is even more blunt. โ€œCan AI do this better than a human can? If yes, then good. If not, thereโ€™s no point to waste money and effort on it,โ€ he says. โ€œAs an example, we implemented an AI agent chatbot for one of my luxury travel clients, and it brought in an extra โ‚ฌ70,000 [$81,252] in revenue through a single booking.โ€

The KPIs, he said, were simply these: โ€œDid the lead come from the chatbot? Yes. Did this lead convert? Yes. Thank you, AI chatbot. We would compare AI-generated outcomes โ€” leads, conversions, booked calls โ€”against human-handled equivalents over a fixed period. If the AI matches or outperforms human benchmarks, then itโ€™s a success.โ€

But this sort of benchmark, while straightforward in theory, becomes much harder in practice. Setting up valid comparisons, controlling for external factors, and attributing results solely to AI is easier said than done.

Hard money: Time, accuracy, and value

The most tangible form of AI ROI involves time and productivity. John Atalla, managing director at Transformativ, calls this โ€œproductivity upliftโ€: โ€œtime saved and capacity released,โ€ measured by how long it takes to complete a process or task.

But even clear metrics can miss the full picture. โ€œIn early projects, we found our initial KPIs were quite narrow,โ€ he says. โ€œAs delivery progressed, we saw improvements in decision quality, customer experience, and even staff engagement that had measurable financial impact.โ€

That realization led Atallaโ€™s team to create a framework with three lenses: productivity, accuracy, and what he calls โ€œvalue-realization speedโ€โ€” โ€œhow quickly benefits show up in the business,โ€ whether measured by payback period or by the share of benefits captured in the first 90 days.

The same logic applies at Wolters Kluwer, where Aoife May, product management association director, says her teams help customers compare manual and AI-assisted work for concrete time and cost differences.

โ€œWe attribute estimated times to doing tasks such as legal research manually and include an average attorney cost per hour to identify the costs of manual effort. We then estimate the same, but with the assistance of AI.โ€ Customers, she says, โ€œreduce the time they spend on obligation research by up to 60%.โ€

But time isnโ€™t everything. Atallaโ€™s second lens โ€” decision accuracy โ€” captures gains from fewer errors, rework, and exceptions, which translate directly into lower costs and better customer experiences.

Adrian Dunkley, CEO of StarApple AI, takes the financial view higher up the value chain. โ€œThere are three categories of metrics that always matter: efficiency gains, customer spend, and overall ROI,โ€ he says, adding that he tracks โ€œhow much money you were able to save using AI, and how much more you were able to get out of your business without spending more.โ€

Dunkleyโ€™s research lab, Section 9, also tackles a subtler question: how to trace AIโ€™s specific contribution when multiple systems interact. He relies on a process known as โ€œimpact chaining,โ€ which he โ€œborrowed from my climate research days.โ€ Impact chaining maps each process to its downstream business value to create a โ€œpre-AI expectation of ROI.โ€

Tom Poutasse, content management director at Wolters Kluwer, also uses impact chaining, and describes it as โ€œtracing how one change or output can influence a series of downstream effects.โ€ In practice, that means showing where automation accelerates value and where human judgment still adds essential accuracy.

Still, even the best metrics matter only if theyโ€™re measured correctly. Establishing baselines, attributing results, and accounting for real costs are what turn numbers into ROI โ€” which is where the math starts to get tricky.

Getting the math right: Baselines, attribution, and cost

The math behind the metrics starts with setting clean baselines and ends with understanding how AI reshapes the cost of doing business.

Salome Mikadze, co-founder of Movadex, advises rethinking what youโ€™re measuring: โ€œI tell executives to stop asking โ€˜what is the modelโ€™s accuracyโ€™ and start with โ€˜what changed in the business once this shipped.โ€™โ€

Mitadzeโ€™s team builds those comparisons into every rollout. โ€œWe baseline the pre-AI process, then run controlled rollouts so every metric has a clean counterfactual,โ€ she says. Depending on the organization, that might mean tracking first-response and resolution times in customer support, lead time for code changes in engineering, or win rates and content cycle times in sales. But she says all these metrics include โ€œtime-to-value, adoption by active users, and task completion without human rescue, because an unused model has zero ROI.โ€

But baselines can blur when people and AI share the same workflow, something that spurred Poutasseโ€™s team at Wolters Kluwer to rethink attribution entirely. โ€œWe knew from the start that the AI and the human SMEs were both adding value, but in different ways โ€” so just saying โ€˜the AI did thisโ€™ or โ€˜the humans did thatโ€™ wasnโ€™t accurate.โ€

Their solution was a tagging framework that marks each stage as machine-generated, human-verified, or human-enhanced. That makes it easier to show where automation adds efficiency and where human judgment adds context, creating a truer picture of blended performance.

At a broader level, measuring ROI also means grappling with what AI actually costs. Michael Mansard, principal director at Zuoraโ€™s Subscribed Institute, notes that AI upends the economic model that IT has taken for granted since the dawn of the SaaS era.

โ€œTraditional SaaS is expensive to build but has near-zero marginal costs,โ€ Mansard says, โ€œwhile AI is inexpensive to develop but incurs high, variable operational costs. These shifts challenge seat-based or feature-based models, since they fail when value is tied to what an AI agent accomplishes, not how many people log in.โ€

Mansard sees some companies experimenting with outcome-based pricing โ€” paying for a percentage of savings or gains, or for specific deliverables such as Zendeskโ€™s $1.50-per-case-resolution model. Itโ€™s a moving target: โ€œThere isnโ€™t and wonโ€™t be one โ€˜rightโ€™ pricing model,โ€ he says. โ€œMany are shifting toward usage-based or outcome-based pricing, where value is tied directly to impact.โ€

As companies mature in their use of AI, theyโ€™re facing a challenge that goes beyond defining ROI once: Theyโ€™ve got to keep those returns consistent as systems evolve and scale.

Scaling and sustaining ROI

For Movadexโ€™s Mikadze, measurement doesnโ€™t end when an AI system launches. Her framework treats ROI as an ongoing calculation rather than a one-time success metric. โ€œOn the cost side we model total cost of ownership, not just inference,โ€ she says. That includes โ€œintegration work, evaluation harnesses, data labeling, prompt and retrieval spend, infra and vendor fees, monitoring, and the people running change management.โ€

Mikadze folds all that into a clear formula: โ€œWe report risk-adjusted ROI: gross benefit minus TCO, discounted by safety and reliability signals like hallucination rate, guardrail intervention rate, override rate in human-in-the-loop reviews, data-leak incidents, and model drift that forces retraining.โ€

Most companies, Mikadze adds, accept a simple benchmark: ROI = (ฮ” revenue + ฮ” gross margin + avoided cost) โˆ’ TCO, with a payback target of less than two quarters for operations use cases and under a year for developer-productivity platforms.

But even a perfect formula can fail in practice if the model isnโ€™t built to scale. โ€œA local, motivated pilot team can generate impressive early wins, but scaling often breaks things,โ€ Mikadze says. Data quality, workflow design, and team incentives rarely grow in sync, and โ€œAI ROI almost never scales cleanly.โ€

She says she sees the same mistake repeatedly: A tool built for one team gets rebranded as a company-wide initiative without revisiting its assumptions. โ€œIf sales expects efficiency gains, product wants insights, and ops hopes for automation, but the model was only ever tuned for one of those, friction is inevitable.โ€

Her advice is to treat AI as a living product, not a one-off rollout. โ€œSuccessful teams set very tight success criteria at the experiment stage, then revalidate those goals before scaling,โ€ she says, defining ownership, retraining cadence, and evaluation loops early on to keep the system relevant as it expands.

That kind of long-term discipline depends on infrastructure for measurement itself. StarApple AIโ€™s Dunkley warns that โ€œmost companies arenโ€™t even thinking about the cost of doing the actual measuring.โ€ Sustaining ROI, he says, โ€œrequires people and systems to track outputs and how those outputs affect business performance. Without that layer, businesses are managing impressions, not measurable impact.โ€

The soft side of ROI: Culture, adoption, and belief

Even the best metrics fall apart without buy-in. Once youโ€™ve built the spreadsheets and have the dashboards up and running, the long-term success of AI depends on the extent to which people adopt it, trust it, and see its value.

Michael Domanic, head of AI at UserTesting, draws a distinction between โ€œhardโ€ and โ€œsquishyโ€ ROI.

โ€œHard ROI is what most executives are familiar with,โ€ he says. โ€œIt refers to measurable business outcomes that can be directly traced back to specific AI deployments.โ€ Those might be improvements in conversion rates, revenue growth, customer retention, or faster feature delivery. โ€œThese are tangible business results that can and should be measured with rigor.โ€

But squishy ROI, Domanic says, is about the human side โ€” the cultural and behavioral shifts that make lasting impact possible. โ€œIt reflects the cultural and behavioral shift that happens when employees begin experimenting, discovering new efficiencies, and developing an intuition for how AI can transform their work.โ€ Those outcomes are harder to quantify but, he adds, โ€œthey are essential for companies to maintain a competitive edge.โ€ As AI becomes foundational infrastructure, โ€œthe boundary between the two will blur. The squishy becomes measurable and the measurable becomes transformative.โ€

John Pettit, CTO of Promevo, argues that self-reported KPIs that could be seen as falling into the โ€œsquishyโ€ category โ€” things like employee sentiment and usage rates โ€” can be powerful leading indicators. โ€œIn the initial stages of an AI rollout, self-reported data is one of the most important leading indicators of success,โ€ he says.

When 73% of employees say a new tool improves their productivity, as they did at one client company he worked with, that perception helps drive adoption, even if that productivity boost hasnโ€™t been objectively measured. โ€œWord of mouth based on perception creates a virtuous cycle of adoption,โ€ he says. โ€œEffectiveness of any tool grows over time, mainly by people sharing their successes and others following suit.โ€

Still, belief doesnโ€™t come automatically. StarApple AI and Section 9โ€™s Dunkley warn that employees often fear AI will erase their credit for success. At one of the companies where Section 9 has been conducting a long-term study, โ€œstaff were hesitant to have their work partially attributed to AI; they felt they were being undermined.โ€

Overcoming that resistance, he says, requires champions who โ€œput in the work to get them comfortable and excited for the AI benefits.โ€ Measuring ROI, in other words, isnโ€™t just about proving that AI works โ€” itโ€™s about proving that people and AI can win together.

What agentic AI really means for IT risk management

16 December 2025 at 04:30

Consider the Turing test. Its challenge? Ask some average humans to tell whether theyโ€™re interacting with a machine or another human.

The fact of the matter is, generative AI passed the Turing test a few years ago.

I suggested as much to acquaintances who are knowledgeable in the ways of artificial intelligence. Many gave me the old eyeball roll in response. In pitying tones, they let me know Iโ€™m just not sophisticated enough to recognize that generative AI didnโ€™t pass Turingโ€™s challenge at all. Why not? I asked. Because the way generative AI works isnโ€™t the same as how human intelligence works, they explained.

Now I could argue with my more AI-sophisticated colleagues but where would the fun be in that? Instead, Iโ€™m willing to ignore what โ€œImitation Gameโ€ means. If generative AI doesnโ€™t pass the test, what we need isnโ€™t better AI.

Itโ€™s a better test.

What makes AI agentic

Which brings us to the New, Improved, AI Imitation Challenge (NIAIIC).

The NIAIIC still challenges human evaluators to determine whether theyโ€™re dealing with a machine or a human. But NIAIICโ€™s challenge is no longer about conversations.

Itโ€™s about something more useful. Namely, dusting. I will personally pay a buck and a half to the first AI team able to deploy a dusting robot โ€” one that can determine which surfaces in an average testerโ€™s home are dusty, and can remove the dust on all of them without breaking or damaging anything along the way.

Clearly, the task to be mastered is one a human could handle without needing detailed instructions (aka โ€œprogrammingโ€). Patience? Yes, dusting needs quite a bit of that. But instructions? No.

Itโ€™s a task with the sorts of benefits claimed for AI by its most enthusiastic proponents: It takes over annoying, boring, and repetitive work from humans, freeing them up for more satisfying responsibilities.

(Yes, I freely admit that Iโ€™m projecting my own predilections. If you, unlike me, love to dust and canโ€™t get enough of it โ€ฆ come on over! Iโ€™ll even make espresso for you!)

How does NIAIIC fit into the popular AI classification frameworks? It belongs to the class of technologies called โ€œagentic AIโ€ โ€” who comes up with these names? Agentic AI is AI that figures out how to accomplish defined goals on its own. Itโ€™s what self-driving vehicles do when they do what theyโ€™re supposed to do โ€” pass the โ€œtouring testโ€ (sorry).

Itโ€™s also what makes agentic AI interesting when compared to earlier forms of AI โ€” those that depended on human experts encoding their skills into a collection of if/then rules, which are alternately known as โ€œexpert systemsโ€ and โ€œAI that reliably works.โ€

Whatโ€™s worrisome is how little distance separates agentic AI from the Worst AI Idea Yet, namely, volitional AI.

With agentic AI, humans define the goals, while the AI figures out how to achieve them. With volitional AI, the AI decides which goals it should try to achieve, then becomes agentic to achieve them.

Once upon a time I didnโ€™t worry much about volitional AI turning into Skynet, on the grounds that, โ€œExcept for electricity and semiconductors, itโ€™s doubtful we and a volitional AI would find ourselves competing for resources intensely enough for the killer robot scenario to become a problem for us.โ€

Itโ€™s time to rethink this conclusion. Do some Googling and youโ€™ll discover that some AI chips arenโ€™t even being brought online because there isnโ€™t enough juice to power them.

It takes little imagination to envision a dystopian scenario in which volitional AIs compete with us humans to grab all the electrical generation they can get their virtual paws on. Their needs and ours will overlap, potentially more quickly than weโ€™re able to even define the threat, let alone respond to it.

The tipping point

Speaking more broadly, anyone expending even a tiny amount of carbon-based brainpower regarding the risks of volitional AI will inevitably reach the same conclusion Microsoft Copilot does. I asked Copilot what the biggest risks of volitional AI are. It concluded that:

The biggest risks of volitional AI โ€” AI systems that act with self-directed goals or autonomy โ€” include existential threats, misuse in weaponization, erosion of human control, and amplification of bias and misinformation. These dangers stem from giving AI systems agency beyond narrow task execution, which could destabilize social, economic, and security structures if not carefully governed.

But itโ€™s okay so long as we stay on the right side of the line that separates agentic from volitional AI, isnโ€™t it?

In a word, โ€œno.โ€

When an agentic AI figures out how it can go about achieving a goal, what it must do is break down the goal assigned to it into smaller goal chunks, and then to break down these chunks into yet smaller chunks.

An agentic AI, that is, ends up setting goals for itself because thatโ€™s how planning works. But once it starts to set goals for itself, it becomes volitional by definition.

Which gets us to AIโ€™s IT risk management conundrum.

Traditional risk management identifies bad things that might happen, and crafts contingency plans that explain what the organization should do should the bad thing actually happen.

We can only wish that this framework would be sufficient when we poke and prod an AI implementation.

Agentic AI, and even more so volitional AI, stands this on its head, because when it comes to it, the biggest risk of volitional AI isnโ€™t that an unplanned bad thing has happened. Itโ€™s that the AI does what itโ€™s supposed to do.

Volitional AI is, that is, dangerous. Agentic AI might not be as inherently risky, but itโ€™s more than risky enough.

Sad to say, we humans are probably too shortsighted to bother mitigating agentic and volitional AIโ€™s clear and present risks, even risks that could herald the end of human-dominated society.

The likely scenario? Weโ€™ll all collectively ignore the risks. Me too. I want my dusting robot and I want it now, the risks to human society be damned.

See also:

Detecting Exploitation: How Network Monitoring Complements your Security Stack

Rule #1: Always Assume Breach

An important principle in cybersecurity is to use the โ€œassume breachโ€ mentality, using the idea that an attacker has already infiltrated your system. This mindset helps minimize the blast radius of an attack, limit lateral movement around your network, and contain potential breaches before they escalate.

Coupang CEO Quits After Breach Hits 33.7M South Koreans

16 December 2025 at 03:43

The e-commerce firm's data breach exposed nearly two-thirds of the entire country's population after hackers operated undetected for five months.

The post Coupang CEO Quits After Breach Hits 33.7M South Koreans appeared first on TechRepublic.

Is AI more than hot air?

15 December 2025 at 22:00
In this weekโ€™s edition of Computer Weekly, which is the final one of 2025, we hear from Amazon CTO Werner Vogels and his take on how developers need to change and adapt for the AI era. Elsewhere in the issue, we hear from experts about why the AI bubble might be able to burst, as organisations struggle to get the returns they expected from their investments in the technology. We also hear from Paul Neville, director of digital, data and technology at The Pensions Regulator, about how data automation and AI are changing the game in terms of how it works. And in the third and final of our three buyerโ€™s guide features on self-service developer tools, we share some top tips on how to ensure enterprise self-service portals are fit for purpose. Read the issue now.

์นผ๋Ÿผ | ๊ธฐ์ˆ ์€ ๋งŽ์„์ˆ˜๋ก ์ข‹์€๊ฐ€? ์‚ฐ์—…์„ ๋ฌด์‹œํ•œ IT ํˆฌ์ž์˜ ์œ„ํ—˜ํ•œ ๊ฒฐ๊ณผ

16 December 2025 at 03:13

๋ชจ๋ฐฉ์˜ ํ•จ์ •

์˜ค๋Š˜๋‚  CIO๋Š” ์ด์‚ฌํšŒ์™€ ์‚ฌ์—… ๋ถ€๋ฌธ, ์ฃผ์ฃผ๋กœ๋ถ€ํ„ฐ ๋น…ํ…Œํฌ์˜ ์„ฑ๊ณต ์‚ฌ๋ก€๋ฅผ ๊ทธ๋Œ€๋กœ ๋”ฐ๋ผ ํ•˜๋ผ๋Š” ์ „๋ก€ ์—†๋Š” ์••๋ฐ•์— ์ง๋ฉดํ•ด ์žˆ๋‹ค. ์†Œํ”„ํŠธ์›จ์–ด ์‚ฐ์—…์€ ๋งค์ถœ์˜ 19%๋ฅผ IT์— ์ง€์ถœํ•˜๋Š” ๋ฐ˜๋ฉด, ์ˆ™๋ฐ• ์‚ฐ์—…์˜ IT ์ง€์ถœ ๋น„์ค‘์€ 3%์—๋„ ๋ฏธ์น˜์ง€ ์•Š๋Š”๋‹ค.

์ด๋Ÿฌํ•œ ์ฐจ์ด๋Š” ์˜ˆ์™ธ์ ์ธ ํ˜„์ƒ์ด ์•„๋‹ˆ๋ผ, ๋‹ค์ˆ˜์˜ CIO๊ฐ€ ๋น…ํ…Œํฌ์˜ ํ”Œ๋ ˆ์ด๋ถ์„ ๋ชจ๋ฐฉํ•˜๋Š” ๋ฐ ๋ชฐ๋‘ํ•œ ๋‚˜๋จธ์ง€ ์™ธ๋ฉดํ•˜๊ณ  ์žˆ๋Š” ๊ทผ๋ณธ์ ์ธ ์‚ฌ์‹ค์ด๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ์‚ฐ์—…๋ณ„ ๊ฐ€์น˜ ์ฐฝ์ถœ ๋ฐฉ์‹์— ๋Œ€ํ•œ ๋ณธ์งˆ์ ์ธ ์˜คํ•ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ž์›์ด ์ฒด๊ณ„์ ์œผ๋กœ ์ž˜๋ชป ๋ฐฐ๋ถ„๋˜๊ณ  ์žˆ๋‹ค.

  • ๋‹ค์ˆ˜์˜ ๊ฒฉ์ฐจ: 7๊ฐœ ์‚ฐ์—… ๊ฐ€์šด๋ฐ 5๊ฐœ ์‚ฐ์—…์ด ์‚ฐ์—… ํ‰๊ท  ์ดํ•˜์˜ IT ์ง€์ถœ์„ ๋ณด์ด๋ฉฐ, ๋ฒค์น˜๋งˆํฌ์— ๋งน๋ชฉ์ ์œผ๋กœ ์˜์กดํ•œ ์ „๋žต์˜ ์œ„ํ—˜์„ฑ์„ ๋“œ๋Ÿฌ๋‚ธ๋‹ค.
  • ๋งฅ๋ฝ์˜ ์ค‘์š”์„ฑ: ๊ธฐ์ˆ  ์ž์ฒด๊ฐ€ ๊ณง ์ œํ’ˆ์ธ ์‚ฐ์—…(์†Œํ”„ํŠธ์›จ์–ด)๊ณผ, ์ œํ’ˆ์„ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•˜๋Š” ์ˆ˜๋‹จ์ธ ์‚ฐ์—…(์ˆ™๋ฐ•, ๋ถ€๋™์‚ฐ)์€ ๊ทผ๋ณธ์ ์œผ๋กœ ๋‹ค๋ฅธ ์ง€์ถœ ๊ตฌ์กฐ๋ฅผ ๋ณด์ธ๋‹ค.

์ด๋Ÿฌํ•œ ๊ฒฉ์ฐจ๋Š” ๊ธฐ์—… ๊ธฐ์ˆ  ์ „๋žต์˜ ์น˜๋ช…์ ์ธ ๊ฒฐํ•จ์„ ๋“œ๋Ÿฌ๋‚ธ๋‹ค. ์•„๋งˆ์กด, ๊ตฌ๊ธ€, ๋งˆ์ดํฌ๋กœ์†Œํ”„ํŠธ์—์„œ ํ†ตํ•˜๋Š” ๋ฐฉ์‹์ด ๋ชจ๋“  ์‚ฐ์—…์—์„œ๋„ ๊ทธ๋Œ€๋กœ ์ž‘๋™ํ•  ๊ฒƒ์ด๋ผ๋Š” ์œ„ํ—˜ํ•œ ๊ฐ€์ •์ด๋‹ค. ์ด ๊ฐ™์€ ํš์ผ์  ์‚ฌ๊ณ ๋ฐฉ์‹์€ ๊ธฐ์ˆ ์„ ์ „๋žต ์ž์‚ฐ์ด ์•„๋‹Œ ๊ฐ’๋น„์‹ผ ์ฃผ์˜ ๋ถ„์‚ฐ ์š”์†Œ๋กœ ์ „๋ฝ์‹œ์ผฐ๋‹ค.

์—ฐ๋„IT ์ง€์ถœ ์„ฑ์žฅ๋ฅ (A)์‹ค์งˆ GDP ์„ฑ์žฅ๋ฅ (B)์„ฑ์žฅ๋ฅ  ๊ฒฉ์ฐจ(A-B)
2016-2.9%3.4%-6.3%
20172.9%3.8%-0.9%
20185.7%3.6%2.1%
20192.7%2.8%-0.1%
2020-5.3%-3.1%-2.2%
202113.9%6.2%7.7%
20229.8%3.5%6.3%
20232.2%3.0%-0.8%
20249.5%3.2%6.3%
20257.9%2.8%5.1%
ํ‘œ1 IT ์ง€์ถœ๊ณผ ์‹ค์งˆ GDP ์„ฑ์žฅ๋ฅ  ๊ฐ„ ๊ฒฉ์ฐจ ๋ถ„์„ (์ถœ์ฒ˜: IT ์ง€์ถœ โ€“ ๊ฐ€ํŠธ๋„ˆ, GDP โ€“ ๊ตญ์ œํ†ตํ™”๊ธฐ๊ธˆ(IMF)

๊ฐ€ํŠธ๋„ˆ์— ๋”ฐ๋ฅด๋ฉด โ€œ2025๋…„ ๊ธ€๋กœ๋ฒŒ IT ์ง€์ถœ์€ 7.9% ์„ฑ์žฅํ•œ 5์กฐ 4,300์–ต ๋‹ฌ๋Ÿฌ(์•ฝ 8,014์กฐ ์›)์— ์ด๋ฅผ ๊ฒƒโ€์œผ๋กœ ์ „๋ง๋œ๋‹ค. IMF ์„ธ๊ณ„๊ฒฝ์ œ์ „๋ง(IMF WEO) ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ์ค€์œผ๋กœ ๋ณด๋ฉด, IT ์ง€์ถœ์€ ์‹ค์งˆ GDP ์„ฑ์žฅ๋ฅ ์„ ์ง€์†์ ์œผ๋กœ ์ƒํšŒํ•ด ์™”๋‹ค. ์ง€๋‚œ 10๋…„๊ฐ„ ๊ธ€๋กœ๋ฒŒ IT ์ง€์ถœ์€ ์—ฐํ‰๊ท  ์•ฝ 5% ์„ฑ์žฅํ•œ ๋ฐ˜๋ฉด, ์‹ค์งˆ GDP๋Š” ์•ฝ 3% ์„ฑ์žฅ์— ๊ทธ์ณ ์—ฐ๊ฐ„ ์•ฝ 2%ํฌ์ธํŠธ์˜ ๊ฒฉ์ฐจ๊ฐ€ ๋ฐœ์ƒํ–ˆ๋‹ค.

์ด๋Ÿฌํ•œ ์ถ”์„ธ๋Š” ๋””์ง€ํ„ธ ์„ฑ์ˆ™๋„์™€ ๊ธฐ์ˆ  ๋„์ž… ํ™•๋Œ€๋ฅผ ๋ณด์—ฌ์ฃผ๋Š” ๋™์‹œ์—, IT ํˆฌ์ž์˜ ์ˆœํ™˜์  ํŠน์„ฑ์„ ๋“œ๋Ÿฌ๋‚ธ๋‹ค. ์ฝ”๋กœ๋‚˜19 ์ดํ›„์˜ ๋””์ง€ํ„ธ ๊ฐ€์† ๊ตญ๋ฉด์ด๋‚˜ 2023~2024๋…„ ์ƒ์„ฑํ˜• AI ์—ดํ’์ฒ˜๋Ÿผ ๊ธฐ๋Œ€๊ฐ€ ๊ณผ๋„ํ•˜๊ฒŒ ๋†’์•„์ง„ ์‹œ๊ธฐ๋Š”, ๊ณผ์žฅ๋œ ์ง€์ถœ์ด ์ง€์†์ ์ธ ๊ฐ€์น˜๋กœ ์ด์–ด์ง€์ง€ ๋ชปํ•˜๋ฉด์„œ ์กฐ์ • ๊ตญ๋ฉด์œผ๋กœ ์ด์–ด์ ธ ์™”๋‹ค.

๋˜ํ•œ IT ํ”„๋กœ๊ทธ๋žจ์˜ ์‹คํŒจ์œจ์€ ๋Œ€๋ถ€๋ถ„์˜ ์—”์ง€๋‹ˆ์–ด๋ง ์‚ฐ์—…๋ณด๋‹ค ํ˜„์ €ํžˆ ๋†’์œผ๋ฉฐ, ์†Œ๋น„์žฌ(FMCG)๋‚˜ ์Šคํƒ€ํŠธ์—… ํ™˜๊ฒฝ๊ณผ ์œ ์‚ฌํ•œ ์ˆ˜์ค€์„ ๋ณด์ธ๋‹ค. ์ด ๊ฐ€์šด๋ฐ ๋””์ง€ํ„ธ ๋ฐ AI ๊ธฐ๋ฐ˜ ์ด๋‹ˆ์…”ํ‹ฐ๋ธŒ๋Š” ํŠนํžˆ ์‹คํŒจ์œจ์ด ๋†’์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚œ๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ์ฆ๊ฐ€ํ•œ IT ์ง€์ถœ์ด ๋ชจ๋‘ ์‚ฌ์—… ๊ฐ€์น˜๋กœ ์ „ํ™˜๋˜์ง€๋Š” ์•Š๋Š”๋‹ค.

์ด๋Ÿฌํ•œ ๊ฒฝํ—˜์— ๋น„์ถฐ๋ณผ ๋•Œ, IT์˜ ์ „๋žต์  ๊ฐ€์น˜๋Š” ์‚ฐ์—…๋ณ„ ๊ฐ€์น˜ ์ฐฝ์ถœ์„ ์–ผ๋งˆ๋‚˜ ํšจ๊ณผ์ ์œผ๋กœ ํ•ด๊ฒฐํ•˜๋Š”์ง€๋กœ ํ‰๊ฐ€๋ผ์•ผ ํ•œ๋‹ค. ์‚ฐ์—…๋งˆ๋‹ค ๊ธฐ์ˆ  ์ง‘์•ฝ๋„์™€ ๊ฐ€์น˜ ์ฐฝ์ถœ์˜ ์—ญํ•™์€ ํฌ๊ฒŒ ๋‹ค๋ฅด๋‹ค. ๋”ฐ๋ผ์„œ CIO๋Š” ์œ ํ–‰์— ํœฉ์“ธ๋ฆฐ ์˜์‚ฌ๊ฒฐ์ •์„ ๊ฒฝ๊ณ„ํ•˜๊ณ , ์ž์‚ฌ ์‚ฐ์—…์˜ ๊ฐ€์น˜ ์ฐฝ์ถœ ๊ตฌ์กฐ๋ฅผ ๊ธฐ์ค€์œผ๋กœ IT ํˆฌ์ž๋ฅผ ๋ฐ”๋ผ๋ณด๋ฉฐ ๊ฒฝ์Ÿ ์šฐ์œ„๋ฅผ ๊ฐ•ํ™”ํ•ด์•ผ ํ•œ๋‹ค. ์‚ฐ์—… ํ˜„์‹ค๊ณผ ์„ฑ์ˆ™๋„ ์ฐจ์ด์— ๋”ฐ๋ผ IT ์ „๋žต์ด ์™œ ๋‹ฌ๋ผ์ง€๋Š”์ง€๋ฅผ ์ดํ•ดํ•˜๋ ค๋ฉด, ๋น„์ฆˆ๋‹ˆ์Šค ๋ชจ๋ธ์ด ๊ธฐ์ˆ ์˜ ์—ญํ• ์„ ์–ด๋–ป๊ฒŒ ๊ทœ์ •ํ•˜๋Š”์ง€ ์‚ดํŽด๋ณผ ํ•„์š”๊ฐ€ ์žˆ๋‹ค.

๋น„์ฆˆ๋‹ˆ์Šค ๋ชจ๋ธ์˜ ๋ฏธ๋กœ

๊ธฐ์ˆ  ์œ ํ–‰์„ ์ซ“๊ธฐ๋ณด๋‹ค ์‚ฌ์—… ์„ฑ๊ณผ์— ์ž๊ธˆ์„ ํˆฌ์ž…ํ•˜๋Š” ์ผ์€ ๋ง์ฒ˜๋Ÿผ ์‰ฝ์ง€ ์•Š๋‹ค. ๊ธฐ์ˆ  ๊ณผ์žฅ์˜ ํ๋ฆ„๊ณผ ์‚ฌ์—…์˜ ํ˜„์‹ค์ด ๋งž๋ถ€๋”ชํžˆ๋ฉฐ ๋ณต์žกํ•œ ๋ฏธ๋กœ๋ฅผ ๋งŒ๋“ค์–ด๋‚ด๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ IT์˜ ์—ญํ• ์€ ๋ณดํŽธ์ ์ด์ง€ ์•Š์œผ๋ฉฐ, ์‚ฐ์—…์— ๋”ฐ๋ผ ์‚ฌ์—…์  ์˜๋ฏธ๋Š” ๋‹ฌ๋ผ์ง„๋‹ค. ์ด๋Ÿฌํ•œ ์ฐจ์ด๋Š” ์„œ๋น„์Šค ๊ฒฝ์ œ๊ฐ€ ๊ธฐ์ˆ  ํ™œ์šฉ์„ ์ขŒ์šฐํ•˜๋Š” ์ˆ™๋ฐ• ์‚ฐ์—…์—์„œ ํฌ๊ฒŒ ๋“œ๋Ÿฌ๋‚œ๋‹ค.

์ˆ™๋ฐ• ์‚ฐ์—…

์ˆ™๋ฐ• ์‚ฐ์—…์—์„œ๋Š” ๋น„์ฆˆ๋‹ˆ์Šค ๋ชจ๋ธ์— ๋”ฐ๋ผ ์„œ๋น„์Šค์˜ ๊ตฌ์กฐ๊ฐ€ ๋‹ฌ๋ผ์ง€๋ฉฐ, ์ด์— ๋”ฐ๋ผ ๊ธฐ์ˆ ์ด ์ˆ˜ํ–‰ํ•˜๋Š” ์—ญํ•  ์—ญ์‹œ ๋‹ค๋ฅด๋‹ค. ๋”ฐ๋ผ์„œ ๋ฆฌ๋”๋Š” ๊ธฐ์ˆ ์ด ์–ด๋–ค ๋ฐฉ์‹์œผ๋กœ ์ž‘๋™ํ•ด์•ผ ํ•˜๋Š”์ง€๋ฅผ ๋ช…ํ™•ํžˆ ์ดํ•ดํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค.

โ€ข ์ €๊ฐ€ํ˜• ์ˆ™๋ฐ•: ๊ธฐ์ˆ ์€ ๋น„์šฉ์„ ์ ˆ๊ฐํ•ด ์ˆ˜์ต์„ฑ์„ ๋†’์ด๋Š” ์—ญํ• ์„ ํ•œ๋‹ค.
โ€ข ํ”„๋ฆฌ๋ฏธ์—„ ์ˆ™๋ฐ•: ๊ธฐ์ˆ ์€ ์„œ๋น„์Šค๋ฅผ ๋ณด์กฐํ•˜์ง€๋งŒ, ๊ฐ€์น˜๋ฅผ ๋งŒ๋“ค์–ด๋‚ด๋Š” ํ•ต์‹ฌ์€ ์ธ๊ฐ„์  ์ ‘์ ์ด๋‹ค.

๊ฒฝํ—˜์ƒ ์ด๋Ÿฌํ•œ ์ฐจ์ด๋ฅผ ์ •ํ™•ํžˆ ์ดํ•ดํ•˜๊ณ  ์ฒดํ™”ํ•˜๋Š” ๊ฒƒ์ด ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค. ๊ฐ„ํŽธํ•œ ๋””์ง€ํ„ธ ์ฒดํฌ์ธ์€ ์šด์˜ ํšจ์œจ์„ฑ์„ ๋†’์ผ ์ˆ˜ ์žˆ์ง€๋งŒ, ๊ณ ๊ธ‰ ํ˜ธํ…”์—์„œ ๊ณ ๊ฐ์ด ๊ฐœ์ธํ™”๋œ ์‘๋Œ€ ๋Œ€์‹  ์ž๋™ํ™”๋œ ์‹œ์Šคํ…œ์˜ ๋ฏธ๋กœ๋ฅผ ๋งˆ์ฃผํ•˜๊ฒŒ ๋œ๋‹ค๋ฉด ๊ธฐ์ˆ ์€ ์˜คํžˆ๋ ค ๋ณธ๋ž˜ ๋ชฉ์ ์„ ์Šค์Šค๋กœ ๋ฌด๋„ˆ๋œจ๋ฆฌ๊ฒŒ ๋œ๋‹ค.

๊ทธ ์ด์œ ๋Š” ์ˆ™๋ฐ• ์‚ฐ์—…์˜ ๋น„์ฆˆ๋‹ˆ์Šค ๋ชจ๋ธ์ด ์ธ๊ฐ„์  ์ƒํ˜ธ์ž‘์šฉ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์„ค๊ณ„๋ผ ์žˆ๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๋ธŒ๋žœ๋“œ๊ฐ€ ์•ฝ์†ํ•˜๋Š” ํ•ต์‹ฌ ๊ฐ€์น˜๋Š” ์‚ฌ๋žŒ ๊ฐ„์˜ ์—ฐ๊ฒฐ์— ์žˆ์œผ๋ฉฐ, ํƒ€์ง€์™€ ๊ฐ™์€ ๋Ÿญ์…”๋ฆฌ ํ˜ธํ…”์˜ ๊ฒฝ์Ÿ ์šฐ์œ„ ์—ญ์‹œ ์—ฌ๊ธฐ์— ์žˆ๋‹ค. ๊ณผ๋„ํ•œ ์ž๋™ํ™”๋Š” ์ด๋Ÿฌํ•œ ๊ฐ•์ ์„ ์ ๊ทน์ ์œผ๋กœ ํ›ผ์†ํ•œ๋‹ค.

์ด๋Ÿฌํ•œ ๋Œ€๋น„๋Š” ๋ถ€๋™์‚ฐ ์‚ฐ์—…์„ ์‚ดํŽด๋ณด๋ฉด ๋”์šฑ ๋ถ„๋ช…ํ•ด์ง„๋‹ค. ๊ธฐ์ˆ ์  ์•ผ๋ง๊ณผ ๋น„์ฆˆ๋‹ˆ์Šค์˜ ๊ธฐ๋ณธ ๊ตฌ์กฐ๊ฐ€ ์–ด๊ธ‹๋‚  ๊ฒฝ์šฐ, ์œ„์›Œํฌ ์‚ฌ๋ก€์—์„œ ๋ณด๋“ฏ ์ •์ฒด์„ฑ์— ๊ธฐ๋ฐ˜ํ•œ ๋ฆฌ์Šคํฌ๋กœ ์ด์–ด์งˆ ์ˆ˜ ์žˆ๋‹ค.

๋ถ€๋™์‚ฐ ์‚ฐ์—…

์œ„์›Œํฌ๋Š” ์Šค์Šค๋กœ์™€ ํˆฌ์ž์ž ๋ชจ๋‘๋ฅผ ์„ค๋“ํ•ด ์ž์‹ ์„ ๊ธฐ์ˆ  ๊ธฐ์—…์œผ๋กœ ์ธ์‹ํ•˜๊ฒŒ ๋งŒ๋“  ๋ถ€๋™์‚ฐ ํšŒ์‚ฌ์˜€๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์‚ฌ์—…์˜ ํ˜„์‹ค์ด ์žฌ๋ฌด์ œํ‘œ์™€ ๋งž๋‹ฅ๋œจ๋ฆฌ๋ฉด์„œ ๊ฒฐ๊ณผ๋Š” ๊ทน์ ์ธ ๋ถ•๊ดด๋กœ ์ด์–ด์กŒ๊ณ , ์ด๋Š” ๊ณง ์ •์ฒด์„ฑ์˜ ์œ„๊ธฐ๋กœ ๊ท€๊ฒฐ๋๋‹ค. ํ•ต์‹ฌ ์‚ฌ์—…์€ ๋ฌผ๋ฆฌ์  ๊ณต๊ฐ„์„ ์ž„๋Œ€ํ•˜๋Š” ๋ฐ ์žˆ์—ˆ์ง€๋งŒ, ๊ธฐ์ˆ  ๊ธฐ์—…์ด๋ผ๋Š” ์„œ์‚ฌ๋Š” ์šด์˜ ํ˜„์‹ค๊ณผ ์™„์ „ํžˆ ๋™๋–จ์–ด์ง„ ๊ฐ€์น˜ ํ‰๊ฐ€์™€ ์ „๋žต์„ ์ด๋Œ์—ˆ๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ์œ„์›Œํฌ๋Š” ๊ธฐ์—… ๊ฐ€์น˜ 470์–ต ๋‹ฌ๋Ÿฌ์—์„œ ํŒŒ์‚ฐ์— ์ด๋ฅด๋Š” ์ถ”๋ฝ์„ ๊ฒช์—ˆ๋‹ค.

๋ณธ์งˆ์ ์œผ๋กœ ๋ถ€๋™์‚ฐ ์‚ฐ์—…์˜ ๋น„์ฆˆ๋‹ˆ์Šค ๋ชจ๋ธ์€ ์žฅ๊ธฐ ๊ฑฐ๋ž˜ ์ฃผ๊ธฐ๋ฅผ ๊ฐ€์ง„ ๋ฌผ๋ฆฌ์  ์ž์‚ฐ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋ฉฐ, ์ด๋กœ ์ธํ•ด IT๋Š” ๋ณด์กฐ์  ๊ธฐ๋Šฅ์— ๋จธ๋ฌด๋ฅด๊ฒŒ ๋œ๋‹ค. ์ด ์‚ฐ์—…์—์„œ IT์˜ ์—ญํ• ์€ ๊ฐ€์น˜ ์ œ์•ˆ์„ ์žฌํŽธํ•˜๋Š” ๊ฒƒ์ด ์•„๋‹ˆ๋ผ, ์ž์‚ฐ ์šด์˜์„ ์ง€์›ํ•˜๊ณ  ๋งˆ์ง„์„ ๋ฐฉ์–ดํ•˜๋Š” ๋ฐ ์žˆ๋‹ค. ๊ฒฝํ—˜์ƒ ์ด๋Ÿฌํ•œ ์‚ฐ์—…์—์„œ IT๋ฅผ ๊ณผ๋„ํ•˜๊ฒŒ ์„ค๊ณ„ํ•˜๋”๋ผ๋„ ๊ฐ€์น˜ ์ฐฝ์ถœ์˜ ์ถ•์€ ์ข€์ฒ˜๋Ÿผ ์ด๋™ํ•˜์ง€ ์•Š๋Š”๋‹ค. ๋ฐ˜๋ฉด, ํ•˜์ดํ…Œํฌ ์‚ฐ์—…์€ ๊ธฐ์ˆ ์ด ๋‹จ์ˆœํ•œ ์ˆ˜๋‹จ์ด ์•„๋‹ˆ๋ผ ๋น„์ฆˆ๋‹ˆ์Šค ๊ทธ ์ž์ฒด์ธ ๊ฒฝ์šฐ์— ํ•ด๋‹นํ•œ๋‹ค.

ํ•˜์ดํ…Œํฌ ์‚ฐ์—…

ํ•˜์ดํ…Œํฌ ์‚ฐ์—…์—์„œ๋Š” ๊ธฐ์ˆ  ๊ทธ ์ž์ฒด๊ฐ€ ๊ณง ์ œํ’ˆ์ด๋‹ค. ๋น„์ฆˆ๋‹ˆ์Šค ๋ชจ๋ธ์ด ๋””์ง€ํ„ธ ํ”Œ๋žซํผ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๊ตฌ์ถ•๋ผ ์žˆ์œผ๋ฉฐ, ๊ธฐ์ˆ  ์—ญ๋Ÿ‰์ด ๊ณง ์‹œ์žฅ ๋ฆฌ๋”์‹ญ์„ ์ขŒ์šฐํ•œ๋‹ค. ์ด ๋•Œ๋ฌธ์— IT ์ง€์ถœ์€ ๋น„์ฆˆ๋‹ˆ์Šค ๋ชจ๋ธ์˜ ํ•ต์‹ฌ ์š”์†Œ๋กœ ์ž‘๋™ํ•˜๋ฉฐ, ์ž๋™ํ™”์™€ ๋ฐ์ดํ„ฐ ์ˆ˜์ตํ™”๋ฅผ ์œ„ํ•œ ์ „๋žต์  ๋ฌด๊ธฐ๋กœ ํ™œ์šฉ๋œ๋‹ค.

์†Œํ”„ํŠธ์›จ์–ด ๊ธฐ์—…์€ ๋งค์ถœ์˜ ์•ฝ 19%๋ฅผ IT์— ํˆฌ์ž…ํ•˜๋Š” ๋ฐ˜๋ฉด, ์ˆ™๋ฐ• ๊ธฐ์—…์˜ IT ์ง€์ถœ ๋น„์ค‘์€ 3%์—๋„ ๋ฏธ์น˜์ง€ ์•Š๋Š”๋‹ค. ์ด๋Ÿฌํ•œ 16%ํฌ์ธํŠธ์˜ ๊ฒฉ์ฐจ๋Š” ๋‹จ์ˆœํ•œ ํ†ต๊ณ„๊ฐ€ ์•„๋‹ˆ๋ผ ์ „๋žต์  ์‹ ํ˜ธ๋‹ค. ์„œ๋กœ ๊ทน๋‹จ์ ์œผ๋กœ ๋‹ค๋ฅธ ์‚ฐ์—…์— ๋™์ผํ•œ IT ํ”Œ๋ ˆ์ด๋ถ์„ ์ ์šฉํ•˜๋Š” ๊ฒƒ์ด ์™œ ๋น„ํšจ์œจ์ ์ผ ๋ฟ ์•„๋‹ˆ๋ผ ์ž ์žฌ์ ์œผ๋กœ ์œ„ํ—˜ํ•œ์ง€๋ฅผ ๋ถ„๋ช…ํžˆ ๋ณด์—ฌ์ค€๋‹ค. ์†Œํ”„ํŠธ์›จ์–ด ๊ธฐ์—…์—์„œ ํšจ๊ณผ์ ์ธ ์ „๋žต์ด ์ˆ™๋ฐ• ๋ธŒ๋žœ๋“œ์—๋Š” ๋ฌด์˜๋ฏธํ•˜๊ฑฐ๋‚˜ ์˜คํžˆ๋ ค ํ•ด๊ฐ€ ๋  ์ˆ˜ ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์‚ฐ์—…๋ณ„ ์‚ฌ๋ก€๋Š” ์œ ํ–‰์— ๋”ฐ๋ฅธ ๊ฒฐ์ •์„ ๊ฑฐ๋ถ€ํ•˜๊ณ , ๊ธฐ์ˆ  ํˆฌ์ž๋ฅผ ๋น„์ฆˆ๋‹ˆ์Šค์˜ ๋ณธ์งˆ์— ๊ณ ์ •ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฆฌ๋”์‹ญ ์—ญ๋Ÿ‰์ด๋ผ๋Š” ๋” ๊นŠ์€ ๊ณผ์ œ๋ฅผ ๋“œ๋Ÿฌ๋‚ธ๋‹ค.

์œ ํ–‰์„ ๋„˜์–ด, ๋น„์ฆˆ๋‹ˆ์Šค์˜ ์ง„์‹ค์— ๊ธฐ์ˆ ์„ ๊ณ ์ •ํ•˜๋ผ

๋””์ง€ํ„ธ ์ „ํ™˜์— ์ง‘์ฐฉํ•˜๋Š” ํ™˜๊ฒฝ์—์„œ CIO์—๊ฒŒ ํ•„์š”ํ•œ ๊ฒƒ์€ ์‚ฌ์—… ํ˜„์‹ค๊ณผ ๋งž์ง€ ์•Š๋Š” ์ด๋‹ˆ์…”ํ‹ฐ๋ธŒ๋ฅผ ๊ฑธ๋Ÿฌ๋‚ผ ์ˆ˜ ์žˆ๋Š” ์ „๋žต์  ๋ถ„๋ณ„๋ ฅ์ด๋‹ค. ๊ด€์ฐฐ ๊ฒฐ๊ณผ, ๊ฒฝ์Ÿ ์šฐ์œ„๋Š” ๋ณดํŽธ์ ์ธ ๋ชจ๋ฒ” ์‚ฌ๋ก€์—์„œ ๋‚˜์˜ค๋Š” ๊ฒƒ์ด ์•„๋‹ˆ๋ผ ๋งฅ๋ฝ์— ๋งž์ถ˜ ์ตœ์ ํ™”์—์„œ ๋งŒ๋“ค์–ด์ง„๋‹ค.

์ด๋Š” ํ˜์‹ ์„ ํ”ผํ•˜์ž๋Š” ์˜๋ฏธ๊ฐ€ ์•„๋‹ˆ๋‹ค. ๋น„์šฉ๋งŒ ๋Š˜๋ฆฌ๋Š” ๋ฌด๊ด€ํ•จ์„ ํ”ผํ•˜์ž๋Š” ๊ฒƒ์ด๋‹ค. ๊ฐ€์žฅ ์„ฑ๊ณต์ ์ธ ๊ธฐ์ˆ  ๋ฆฌ๋”๋Š” ์ตœ์‹  ์œ ํ–‰์„ ๊ตฌํ˜„ํ•˜๋Š” ์‚ฌ๋žŒ์ด ์•„๋‹ˆ๋ผ, ์ž์‚ฌ ๋น„์ฆˆ๋‹ˆ์Šค๋ฅผ ๋…ํŠนํ•˜๊ฒŒ ๋งŒ๋“œ๋Š” ์š”์†Œ๊ฐ€ ๋ฌด์—‡์ธ์ง€๋ฅผ ์ด์„ฑ์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ  ์ด๋ฅผ ๊ฐ•ํ™”ํ•˜๋Š” ์„ ํƒ์„ ๋‚ด๋ฆฌ๋Š” ์‚ฌ๋žŒ์ด๋‹ค.

ํ•˜์ดํ…Œํฌ ์‚ฐ์—…์„ ์ œ์™ธํ•œ ๋Œ€๋ถ€๋ถ„์˜ ์‚ฐ์—…์—์„œ ๊ธฐ์ˆ ์€ ์ œํ’ˆ๊ณผ ์„œ๋น„์Šค๋ฅผ ๋Œ€์ฒดํ•˜๊ธฐ๋ณด๋‹ค ์ด๋ฅผ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•˜๋Š” ์—ญํ• ์„ ํ•œ๋‹ค. ๋ฐ์ดํ„ฐ๋Š” ์ˆ˜์ตํ™” ๋Œ€์ƒ์ด ์•„๋‹ˆ๋ผ ์˜์‚ฌ๊ฒฐ์ •์„ ์ง€์›ํ•˜๋Š” ์ˆ˜๋‹จ์— ๊ฐ€๊น๋‹ค. ์‹œ์žฅ ์ง€์œ„๋Š” ์‚ฐ์—… ๊ณ ์œ ์˜ ์š”์ธ์— ์˜ํ•ด ๊ฒฐ์ •๋˜๋ฉฐ, ์„ฑ๊ณผ๋Š” ํ”Œ๋žซํผ ํšจ๊ณผ๋ณด๋‹ค๋Š” ์šด์˜ ํšจ์œจ์„ฑ๊ณผ ๊ณ ๊ฐ ๋งŒ์กฑ์—์„œ ๋‚˜์˜จ๋‹ค.

์ƒˆ๋กœ์šด ์˜์—ญ์„ ๋ชจ๋‘ ์ข‡๋Š” ์ „๋žต์€ ๋Œ€๋‹ดํ•ด ๋ณด์ผ ์ˆ˜ ์žˆ์ง€๋งŒ, ์ง€์†์ ์ธ ๊ฒฝ์Ÿ ์šฐ์œ„๋Š” ๋ฌด์—‡์„ ๋„์ž…ํ• ์ง€, ์–ธ์ œ ๋„์ž…ํ• ์ง€, ๋ฌด์—‡์„ ๊ณผ๊ฐํžˆ ๋ฌด์‹œํ• ์ง€๋ฅผ ์•„๋Š” ๋ฐ์„œ ๋น„๋กฏ๋œ๋‹ค. ์•„๋งˆ์กด์˜ ํ”Œ๋žซํผ ์ง€๋ฐฐ๋ ฅ, ๊ตฌ๊ธ€์˜ ๋ฐ์ดํ„ฐ ์ˆ˜์ตํ™”, ์• ํ”Œ์˜ ํ์‡„ํ˜• ์ƒํƒœ๊ณ„๋Š” ๊ฐ•๋ ฅํ•œ ์„ฑ๊ณต ์„œ์‚ฌ๋ฅผ ๋งŒ๋“ค์–ด๋ƒˆ์ง€๋งŒ, ์ด๋Š” ๋””์ง€ํ„ธ ๋„ค์ดํ‹ฐ๋ธŒ ๋น„์ฆˆ๋‹ˆ์Šค ๋ชจ๋ธ์ด๋ผ๋Š” ํŠน์ • ๋งฅ๋ฝ์— ๋ฌถ์—ฌ ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ํ”Œ๋ ˆ์ด๋ถ์€ ํ•ด๋‹น ํ™˜๊ฒฝ์—์„œ๋Š” ํšจ๊ณผ์ ์ผ ์ˆ˜ ์žˆ์œผ๋‚˜, ๋‹ค๋ฅธ ์‚ฐ์—…์—๋Š” ๋งž์ง€ ์•Š์„ ์ˆ˜ ์žˆ์œผ๋ฉฐ ๋ฌด๋น„ํŒ์ ์ธ ๋ณต์ œ๋Š” ์˜คํ•ด๋ฅผ ๋‚ณ๊ธฐ ์‰ฝ๋‹ค.

๊ฒฐ๊ตญ CIO๋Š” ์ด๋Ÿฌํ•œ ์œ ํ˜น์— ์ €ํ•ญํ•˜๊ณ , IT ์ „๋žต์„ ์ž์‚ฌ ์‚ฐ์—…์˜ ํ•ต์‹ฌ ๊ฐ€์น˜ ๋™์ธ์— ๋งž์ถฐ ์ •๋ ฌํ•ด์•ผ ํ•œ๋‹ค. ์ด ๋ชจ๋“  ๋…ผ์˜๋Š” ํ•˜๋‚˜์˜ ๋‹จ์ˆœํ•˜์ง€๋งŒ ๊ฐ•๋ ฅํ•œ ์ง„์‹ค๋กœ ๊ท€๊ฒฐ๋œ๋‹ค. ๋งฅ๋ฝ์€ ์ œ์•ฝ์ด ์•„๋‹ˆ๋ผ ๊ฒฝ์Ÿ ์šฐ์œ„๋‹ค.

๊ฒฐ๋ก : ๋งฅ๋ฝ์ด ๋งŒ๋“œ๋Š” ๊ฒฝ์Ÿ๋ ฅ

์†Œํ”„ํŠธ์›จ์–ด ์‚ฐ์—…๊ณผ ์ˆ™๋ฐ• ์‚ฐ์—… ๊ฐ„ IT ์ง€์ถœ ๊ฒฉ์ฐจ๋Š” ํ•ด๊ฒฐํ•ด์•ผ ํ•  ๋ฌธ์ œ๊ฐ€ ์•„๋‹ˆ๋ผ ๋ฐ›์•„๋“ค์—ฌ์•ผ ํ•  ํ˜„์‹ค์ด๋‹ค. ์‚ฐ์—…๋งˆ๋‹ค ๊ฐ€์น˜๋ฅผ ์ฐฝ์ถœํ•˜๋Š” ๋ฐฉ์‹์€ ๊ทผ๋ณธ์ ์œผ๋กœ ๋‹ค๋ฅด๋ฉฐ, ๊ธฐ์ˆ  ์ „๋žต ์—ญ์‹œ ์ด๋Ÿฌํ•œ ์ง„์‹ค์„ ๋ฐ˜์˜ํ•ด์•ผ ํ•œ๋‹ค.

์„ฑ๊ณผ๋ฅผ ๋‚ด๋Š” ๊ธฐ์—…์€ ๊ธฐ์ˆ ์„ ํ™œ์šฉํ•ด ๊ฒฝ์Ÿ ์šฐ์œ„๋ฅผ ๋”์šฑ ์„ ๋ช…ํ•˜๊ฒŒ ๋งŒ๋“ ๋‹ค. ์ฐจ๋ณ„ํ™” ์š”์†Œ๋Š” ๊ฐ•ํ™”ํ•˜๊ณ , ์ œ์•ฝ ์š”์ธ์€ ์ œ๊ฑฐํ•˜๋ฉฐ, ๊ธฐ์ˆ ์ด ์ง„์ •ํ•œ ์‹ ๊ทœ ๊ฐ€์น˜๋ฅผ ์—ด์–ด์ฃผ๋Š” ์˜์—ญ์—์„œ๋งŒ ์„ ํƒ์ ์œผ๋กœ ํ™•์žฅํ•œ๋‹ค. ์ด ๋ชจ๋“  ํŒ๋‹จ์€ ํ•ต์‹ฌ ๋น„์ฆˆ๋‹ˆ์Šค ๋…ผ๋ฆฌ์— ๋‹จ๋‹จํžˆ ๊ณ ์ •๋ผ ์žˆ๋‹ค.

์‹ ๊ธฐ์ˆ ์„ ํ†ตํ•ด ์žฅ๊ธฐ์ ์ธ ๊ฐ€์น˜๋ฅผ ์ฐฝ์ถœํ•˜๋Š” ๊ธธ์€ ๋งน๋ชฉ์ ์ธ ๋„์ž…์ด ์•„๋‹ˆ๋ผ ํ˜„์‹ค์— ๊ธฐ๋ฐ˜ํ•œ ์ ์šฉ์— ์žˆ๋‹ค. ์ „ํ™˜ ๊ฒฝ์Ÿ์ด ์น˜์—ดํ•ด์งˆ์ˆ˜๋ก ๊ฐ€์žฅ ํ˜„๋ช…ํ•œ CIO๋Š” ๋น„์ฆˆ๋‹ˆ์Šค์˜ ๋ณธ์งˆ์„ ๋ฒ„๋ฆฌ๊ธฐ๋ณด๋‹ค ์ด๋ฅผ ์กด์ค‘ํ•˜๋Š” ๊ธฐ์ˆ  ๊ฒฐ์ •์„ ๋‚ด๋ฆฌ๋Š” ์‚ฌ๋žŒ์ด๋‹ค. ๋ฏธ๋ž˜๋Š” ๊ฐ€์žฅ ๋งŽ์€ ๊ธฐ์ˆ ์„ ๋„์ž…ํ•œ ๊ธฐ์—…์ด ์•„๋‹ˆ๋ผ, ์˜ฌ๋ฐ”๋ฅธ ์ด์œ ๋กœ ์˜ฌ๋ฐ”๋ฅธ ๊ธฐ์ˆ ์„ ์„ ํƒํ•œ ๊ธฐ์—…์˜ ๋ชซ์ด๋‹ค.

*ํŽธ์ง‘์ž ์ฃผ:์ด ์ปฌ๋Ÿผ์€ ํ•„์ž์˜ ๋…๋ฆฝ์ ์ธ ํ†ต์ฐฐ๊ณผ ๊ด€์ ์„ ๋ฐ˜์˜ํ•œ ๊ฒƒ์œผ๋กœ, ์–ด๋– ํ•œ ๊ณต์‹์  ๋ณด์ฆ๋„ ๋‹ด๊ณ  ์žˆ์ง€ ์•Š๋‹ค. ํŠน์ • ๊ธฐ์—…, ์ œํ’ˆ ๋˜๋Š” ์„œ๋น„์Šค๋ฅผ ํ™๋ณดํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.
dl-ciokorea@foundryco.com

AI ์„ฑ๊ณต์˜ ์ถœ๋ฐœ์ , ๊ธฐ์—… ๋ฐ์ดํ„ฐ ์ „๋žต์„ ๋ฐ”๊พธ๋Š” 8๊ฐ€์ง€ ์›์น™

16 December 2025 at 02:56

IBM์˜ ๋ฐ์ดํ„ฐ ๋‹ด๋‹น ๋ถ€์‚ฌ์žฅ ๊ฒธ ์ตœ๊ณ ๋ฐ์ดํ„ฐ์ฑ…์ž„์ž(CDO)์ธ ์—๋“œ ๋Ÿฌ๋ธ”๋ฆฌ๋Š” ํ˜์‹ ์ ์ธ AI ์ „๋žต์„ ๊ตฌ์ถ•ํ•˜๋ ค๋Š” ์กฐ์ง์ด๋ผ๋ฉด ๋ฌด์—‡๋ณด๋‹ค ๊ฒฝ์Ÿ๋ ฅ ์žˆ๋Š” ๋ฐ์ดํ„ฐ ์ „๋žต์„ ๋จผ์ € ๊ฐ–์ถฐ์•ผ ํ•œ๋‹ค๊ณ  ์กฐ์–ธํ•œ๋‹ค. AI๋ฅผ ํ™•์žฅํ•˜๋Š” ๊ด€์ ์—์„œ ๋ณด๋ฉด ๋ฐ์ดํ„ฐ๋Š” ๊ทผ๊ฐ„์ด๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค.

ํ•˜์ง€๋งŒ ๋Ÿฌ๋ธ”๋ฆฌ์— ๋”ฐ๋ฅด๋ฉด, ์‹ค์ œ๋กœ AI ๋ชฉํ‘œ์— ๋ถ€ํ•ฉํ•˜๋Š” ๋ฐ์ดํ„ฐ ์•„ํ‚คํ…์ฒ˜๋ฅผ ๊ฐ–์ถ˜ ์กฐ์ง์€ ๋งŽ์ง€ ์•Š๋‹ค. ๋Œ€์‹  ์ผ๊ด€๋œ ๋ฐ์ดํ„ฐ ํ‘œ์ค€์— ๋”ฐ๋ผ ๊ด€๋ฆฌ๋˜์ง€ ์•Š๋Š” ์‚ฌ์ผ๋กœํ˜• ๋ฐ์ดํ„ฐ๊ฐ€ ์—ฌ์ „ํžˆ ์กด์žฌํ•œ๋‹ค. ์ด๋Š” ์ „์‚ฌ์  ์ธ๊ณต์ง€๋Šฅ ๋ฐฐํฌ๋ฅผ ์ง€์›ํ•˜๊ธฐ๋ณด๋‹ค๋Š” ํŠน์ • ์‹œ์ ์˜ ์˜์‚ฌ๊ฒฐ์ •์„ ์ œ๊ณตํ•˜๊ธฐ ์œ„ํ•ด ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜ ๋‹จ์œ„๋กœ IT ํ™˜๊ฒฝ์„ ๊ตฌ์ถ•ํ•ด ์˜จ ๊ธฐ์กด ์—”ํ„ฐํ”„๋ผ์ด์ฆˆ ๋ฐ์ดํ„ฐ ์ „๋žต์˜ ๊ฒฐ๊ณผ๋‹ค.

IBM์ด 2025๋…„์— ๋ฐœํ‘œํ•œ ์—ฐ๊ตฌ ๋ณด๊ณ ์„œ โ€˜AI ์•ผ๋ง์€ ์ปค์ง€๊ณ  ์žˆ์ง€๋งŒ, ๊ธฐ์—… ๋ฐ์ดํ„ฐ๋Š” ์ค€๋น„๋๋Š”๊ฐ€?โ€™๋Š” ๋งŽ์€ ์กฐ์ง์ด ๋ฐ์ดํ„ฐ ๋ฌธ์ œ๋กœ ์–ด๋ ค์›€์„ ๊ฒช๊ณ  ์žˆ์Œ์„ ๋ณด์—ฌ์ค€๋‹ค. ์ด ์กฐ์‚ฌ์— ๋”ฐ๋ฅด๋ฉด ์ „ ์„ธ๊ณ„ 1,700๋ช…์˜ CDO ๊ฐ€์šด๋ฐ, ๋ฐ์ดํ„ฐ๊ฐ€ ์ƒˆ๋กœ์šด AI ๊ธฐ๋ฐ˜ ์ˆ˜์ต์›์„ ์ง€์›ํ•  ์ˆ˜ ์žˆ๋‹ค๊ณ  ํ™•์‹ ํ•œ ์‘๋‹ต์ž๋Š” 26%์— ๊ทธ์ณค๋‹ค.

๋Ÿฌ๋ธ”๋ฆฌ๋Š” ํ•ด๋ฒ•์œผ๋กœ ๋ฐ์ดํ„ฐ๊ฐ€ ์ƒ์„ฑ๋˜๋Š” ์œ„์น˜์™€ ๊ด€๊ณ„์—†์ด ๋™์ผํ•œ ํ‘œ์ค€๊ณผ ๊ฑฐ๋ฒ„๋„Œ์Šค, ๋ฉ”ํƒ€๋ฐ์ดํ„ฐ๋ฅผ ์ ์šฉํ•˜๋Š” ํ†ตํ•ฉ ์ „์‚ฌ ๋ฐ์ดํ„ฐ ์•„ํ‚คํ…์ฒ˜๊ฐ€ ํ•„์š”ํ•˜๋‹ค๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค.

๋ฐ์ดํ„ฐ ์ „๋žต์„ ์—…๋ฐ์ดํŠธํ•ด์•ผ ํ•œ๋‹ค๋Š” ์ธ์‹์€ ๋Ÿฌ๋ธ”๋ฆฌ๋งŒ์˜ ๊ฒฌํ•ด๊ฐ€ ์•„๋‹ˆ๋‹ค.

IDC ๊ธ€๋กœ๋ฒŒ ๋ฐ์ดํ„ฐ์Šคํ”ผ์–ด ๋ฐ ๊ธ€๋กœ๋ฒŒ ์Šคํ† ๋ฆฌ์ง€์Šคํ”ผ์–ด ์—ฐ๊ตฌ ํ”„๋กœ๊ทธ๋žจ์˜ ์—ฐ๊ตฌ ๋งค๋‹ˆ์ €์ด์ž 2025๋…„ ๋ณด๊ณ ์„œ โ€˜์ƒ์„ฑํ˜• AI ์‹œ๋Œ€์˜ ์ฝ˜ํ…์ธ  ์ƒ์„ฑโ€™ ๊ณต๋™ ์ €์ž์ธ ์• ๋ค ๋ผ์ดํŠธ๋Š” โ€œAI๋Š” ๋ฐ์ดํ„ฐ์˜ ํ™œ์šฉ ๋ฐฉ์‹๋ฟ ์•„๋‹ˆ๋ผ ํ™œ์šฉ ๋ชฉ์ ๊ณผ ๊ฐ€์น˜๊ฐ€ ์ฐฝ์ถœ๋˜๋Š” ์ง€์ ๊นŒ์ง€ ๋ฐ”๊พธ๊ณ  ์žˆ๋‹คโ€๋ผ๋ฉฐ โ€œ๋Œ€๋ถ€๋ถ„์˜ ์กฐ์ง์€ ์ด๋Ÿฌํ•œ ๋ณ€ํ™”์— ๋งž์ถฐ ๋ฐ์ดํ„ฐ ์ „๋žต์„ ํ˜„๋Œ€ํ™”ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹คโ€๋ผ๊ณ  ๋ถ„์„ํ–ˆ๋‹ค.

๋ผ์ดํŠธ๋Š” โ€œ๊ธฐ์กด ๋ฐ์ดํ„ฐ ์ „๋žต์€ ๋ณด๊ณ , BI, ์ž๋™ํ™”๋ฅผ ์œ„ํ•ด ์„ค๊ณ„๋์ง€๋งŒ, AI๋Š” ๋ฐ˜๋ณต์ ์ด๊ณ  ๋ชจ๋ธ ์ค‘์‹ฌ์ ์ธ ์›Œํฌํ”Œ๋กœ๋ฅผ ๊ตฌ๋™ํ•  ์ˆ˜ ์žˆ๋Š” ํ›จ์”ฌ ๋” ์—ญ๋™์ ์ด๊ณ  ์„ธ๋ถ„ํ™”๋œ ์‹ค์‹œ๊ฐ„ ๋ฐ์ดํ„ฐ ํŒŒ์ดํ”„๋ผ์ธ์„ ์š”๊ตฌํ•œ๋‹คโ€๋ผ๋ฉฐ โ€œ์ด๋Š” ์ •์ ์ธ ๋ฐ์ดํ„ฐ ๊ฑฐ๋ฒ„๋„Œ์Šค์—์„œ ๋ฒ—์–ด๋‚˜ ์ง€์†์ ์ธ ๋ฐ์ดํ„ฐ ํ’ˆ์งˆ ๋ชจ๋‹ˆํ„ฐ๋ง, ๊ฐ•ํ™”๋œ ๋ฉ”ํƒ€๋ฐ์ดํ„ฐ์™€ ๊ณ„๋ณด ์ถ”์ , ๊ทธ๋ฆฌ๊ณ  ์ผ์‹œ์ ยท์บ์‹œยท์ €์žฅ ๋ฐ์ดํ„ฐ๊ฐ€ ํ˜ผ์žฌ๋œ AI ํŠน์„ฑ์„ ๋ฐ˜์˜ํ•œ ๋ณด์กด ์ •์ฑ…์œผ๋กœ์˜ ์ „ํ™˜์„ ์˜๋ฏธํ•œ๋‹คโ€๋ผ๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค.

์ด์–ด ๊ทธ๋Š” โ€œAI ์‹œ๋Œ€์—๋Š” ๋ชจ๋“  ๋ฐ์ดํ„ฐ๋ฅผ ์ˆ˜์ง‘ํ•˜๊ณ  ์ €์žฅํ•˜๋ ค๋Š” ์‚ฌ๊ณ ๋ฐฉ์‹์—์„œ ๋ฒ—์–ด๋‚˜, ๋น„์šฉ๊ณผ ์œ„ํ—˜, ๊ทธ๋ฆฌ๊ณ  ๋‹ฌ์„ฑํ•˜๋ ค๋Š” ๊ตฌ์ฒด์ ์ธ AI ์„ฑ๊ณผ๋ฅผ ๊ท ํ˜• ์žˆ๊ฒŒ ๊ณ ๋ คํ•˜๋Š” ๋ชฉ์  ์ง€ํ–ฅ์  ๋ฐ์ดํ„ฐ ์ „๋žต์œผ๋กœ ์ง„ํ™”ํ•ด์•ผ ํ•œ๋‹คโ€๋ผ๊ณ  ๋ง๋ถ™์˜€๋‹ค.

์„ฑ์ˆ™๋„๊ฐ€ ๋†’์€ ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜

๋Œ€๋ถ€๋ถ„์˜ ์กฐ์ง์€ ์•„์ง ์ด๋Ÿฌํ•œ ๋ชฉํ‘œ์™€ ๊ฑฐ๋ฆฌ๊ฐ€ ๋ฉ€๋‹ค. IDC์˜ ์• ๋ค ๋ผ์ดํŠธ๋Š” โ€œ๋งŽ์€ ์กฐ์ง์ด AI ํ™œ์šฉ ์‚ฌ๋ก€๋ฅผ ์ง€์›ํ•˜๋Š” ๋ฐ ํ•„์š”ํ•œ โ€˜์ ์ ˆํ•œโ€™ ๋ฐ์ดํ„ฐ๋ฅผ ํ™•๋ณดํ•˜๋Š” ๋ฐ ์—ฌ์ „ํžˆ ์–ด๋ ค์›€์„ ๊ฒช๊ณ  ์žˆ๋‹คโ€๋ผ๋ฉฐ โ€œ์ด๋Š” ๋ฐ์ดํ„ฐ์˜ ์ถฉ๋ถ„ํ•œ ์–‘, ์ ์ ˆํ•œ ํ’ˆ์งˆ, ๋˜๋Š” ํ•„์š”ํ•œ ๋งฅ๋ฝ ๋ฉ”ํƒ€๋ฐ์ดํ„ฐ ์ค‘ ์–ด๋А ํ•˜๋‚˜๋ผ๋„ ๋ถ€์กฑํ•œ ๊ฒฝ์šฐ๋ฅผ ํฌํ•จํ•œ๋‹คโ€๋ผ๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค.

๊ทธ๋Š” ์ด์–ด โ€œIDC ์—ฐ๊ตฌ์™€ ์—…๊ณ„ ๋…ผ์˜๋ฅผ ๋ณด๋ฉด ๋ฐ์ดํ„ฐ ์ค€๋น„๋„๋Š” AI ๊ฐ€์น˜๋ฅผ ์‹คํ˜„ํ•˜๋Š” ๋ฐ ๊ฐ€์žฅ ํฐ ์žฅ์•  ์š”์ธ ์ค‘ ํ•˜๋‚˜๋กœ ๊พธ์ค€ํžˆ ์ง€๋ชฉ๋˜๋ฉฐ, ์ข…์ข… ์ปดํ“จํŒ… ๋น„์šฉ์ด๋‚˜ ๋ชจ๋ธ ์„ ํƒ๋ณด๋‹ค ๋” ํฐ ๋ฌธ์ œ๋กœ ์ธ์‹๋œ๋‹คโ€๋ผ๊ณ  ๋งํ–ˆ๋‹ค. ๋˜ํ•œ โ€œ๋Œ€๋ถ€๋ถ„์˜ ๊ธฐ์—…์€ ์—ฌ์ „ํžˆ ๋ถ„์ ˆ๋œ ์‹œ์Šคํ…œ๊ณผ ์ผ๊ด€์„ฑ ์—†๋Š” ๊ฑฐ๋ฒ„๋„Œ์Šค, ๊ทธ๋ฆฌ๊ณ  ์‹ค์ œ๋กœ ์–ด๋–ค ๋ฐ์ดํ„ฐ๋ฅผ ๋ณด์œ ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ ๊ทธ ๋ฐ์ดํ„ฐ๊ฐ€ ์–ผ๋งˆ๋‚˜ ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š”์ง€์— ๋Œ€ํ•œ ์ œํ•œ์ ์ธ ๊ฐ€์‹œ์„ฑ ๋ฌธ์ œ๋ฅผ ์•ˆ๊ณ  ์žˆ๋‹คโ€๋ผ๊ณ  ๋ถ„์„ํ–ˆ๋‹ค.

๋Ÿฌ๋ธ”๋ฆฌ๋Š” IBM ์—ญ์‹œ ๊ณผ๊ฑฐ์—๋Š” ์ด๋Ÿฌํ•œ ๋ฌธ์ œ๋ฅผ ๋‹ค์ˆ˜ ๊ฒช์—ˆ์ง€๋งŒ, ์ง€๋‚œ 3๋…„๊ฐ„ ๋ฐ์ดํ„ฐ๋ฅผ AI์— ์ ํ•ฉํ•œ ์ƒํƒœ๋กœ ๋งŒ๋“ค๊ธฐ ์œ„ํ•ด ์ด๋ฅผ ํ•ด๊ฒฐํ•˜๋Š” ๋ฐ ์ง‘์ค‘ํ•ด ์™”๋‹ค๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค.

AI ์‹œ๋Œ€๋ฅผ ๊ฒจ๋ƒฅํ•œ IBM์˜ ๋ฐ์ดํ„ฐ ์ „๋žต์€ ์˜ค๋žœ ๊ธฐ๊ฐ„ ์œ ์ง€ํ•ด ์˜จ ๊ธฐ์กด ์ ‘๊ทผ ๋ฐฉ์‹์— ๋Œ€ํ•œ ์—ฌ๋Ÿฌ ๋ณ€ํ™”๋ฅผ ํฌํ•จํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ด๋ฅผ ํ†ตํ•ด ๋Ÿฌ๋ธ”๋ฆฌ๊ฐ€ ๋งํ•˜๋Š” ํ†ตํ•ฉ ์ „์‚ฌ ๋ฐ์ดํ„ฐ ์•„ํ‚คํ…์ฒ˜๋ฅผ ๊ตฌ์ถ•ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด IBM์€ ๋ฐ์ดํ„ฐ ์˜ค๋„ˆ๋ผ๋Š” ๊ฐœ๋…์„ ์œ ์ง€ํ•˜๋ฉด์„œ๋„, ํ•ด๋‹น ๋ฐ์ดํ„ฐ๊ฐ€ ํŠน์ • ์กฐ์ง์ด ์•„๋‹Œ IBM ์ „์ฒด์˜ ์ž์‚ฐ์ด๋ผ๋Š” ์ ์„ ์ดํ•ดํ•˜๋„๋ก ํ–ˆ๋‹ค. ๋Ÿฌ๋ธ”๋ฆฌ๋Š” โ€œ๋ฐ์ดํ„ฐ๋ฅผ ํ†ต์ œ๋˜๊ณ  ์•ˆ์ „ํ•œ ๋ฐฉ์‹์œผ๋กœ ๋ฏผ์ฃผํ™”ํ•  ์ˆ˜ ์žˆ๋‹ค๋ฉด, ๋น„์ฆˆ๋‹ˆ์Šค๋ฅผ ๋” ํšจ์œจ์ ์ด๊ณ  ์ƒ์‚ฐ์ ์œผ๋กœ ์šด์˜ํ•  ์ˆ˜ ์žˆ๋‹คโ€๋ผ๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค.

๊ทธ ๊ฒฐ๊ณผ IBM์€ ์—ฌ๋Ÿฌ ํŒ€์ด ์‚ฌ์ผ๋กœ ํ˜•ํƒœ๋กœ ๋ฐ์ดํ„ฐ๋ฅผ ๊ด€๋ฆฌํ•˜๋˜ ๊ตฌ์กฐ์—์„œ ๋ฒ—์–ด๋‚˜, ๊ณตํ†ต ํ‘œ์ค€๊ณผ ๊ณตํ†ต ์•„ํ‚คํ…์ฒ˜๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๋‹จ์ผ ์กฐ์ง ์ฒด๊ณ„๋กœ ์ „ํ™˜ํ–ˆ๋‹ค. ๋˜ํ•œ ์ „์‚ฌ ๋ฆฌ๋”๋Š” 300ํ…Œ๋ผ๋ฐ”์ดํŠธ ๊ทœ๋ชจ์˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ†ตํ•ฉํ•˜๊ณ , ํšŒ์‚ฌ๊ฐ€ ์ถ”๊ตฌํ•˜๋Š” ์„ฑ๊ณผ์™€ ์ด๋ฅผ ์ด๋„๋Š” ์›Œํฌํ”Œ๋กœ๋ฅผ ๊ธฐ์ค€์œผ๋กœ ํ•„์š”ํ•œ ๋ฐ์ดํ„ฐ๋ฅผ ์„ ๋ณ„ํ–ˆ๋‹ค.

๋Ÿฌ๋ธ”๋ฆฌ๋Š” โ€œ์˜๋„์ ์œผ๋กœ ์ ‘๊ทผํ–ˆ๋‹คโ€๋ผ๊ณ  ์„ค๋ช…ํ•˜๋ฉฐ, ํ˜„์žฌ IBM์˜ ๋ฐ์ดํ„ฐ ํ”Œ๋žซํผ์ด ์ „์ฒด ์›Œํฌํ”Œ๋กœ์˜ ์•ฝ 80%๋ฅผ ํฌ๊ด„ํ•˜๊ณ  ์žˆ๋‹ค๊ณ  ๋ฐํ˜”๋‹ค. ๊ทธ๋Š” ์ด์–ด โ€œ์˜ค๋Š˜๋‚  ๊ธฐ์—…์—์„œ ๊ฐ€์žฅ ํฐ ์ƒ์‚ฐ์„ฑ ํ–ฅ์ƒ ์š”์ธ ๊ฐ€์šด๋ฐ ํ•˜๋‚˜๋Š” ํ†ตํ•ฉ ์ „์‚ฌ ๋ฐ์ดํ„ฐ ์•„ํ‚คํ…์ฒ˜๋ฅผ ๊ตฌ์ถ•ํ•˜๋Š” ๊ฒƒโ€์ด๋ผ๋ฉฐ โ€œ๋ฐ์ดํ„ฐ์— ๋Œ€ํ•œ ํˆฌ์ž๊ฐ€ ์žˆ์—ˆ๊ธฐ์— IBM์€ AI๋ฅผ ์ „์‚ฌ์ ์œผ๋กœ ๋น ๋ฅด๊ฒŒ ๋„์ž…ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹คโ€๋ผ๊ณ  ๋งํ–ˆ๋‹ค.

๋” ๋‚˜์€ ๋ฐ์ดํ„ฐ ์ „๋žต์„ ๊ตฌ์ถ•ํ•˜๊ธฐ ์œ„ํ•œ 8๊ฐ€์ง€ ์ œ์–ธ

๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜๊ณผ ๋ฐ์ดํ„ฐ ํ™œ์šฉ ์—ญ๋Ÿ‰์—์„œ ๋†’์€ ์„ฑ์ˆ™๋„๋ฅผ ๋‹ฌ์„ฑํ•˜๋ ค๋ฉด, ์กฐ์ง์€ AI ์‹œ๋Œ€์— ๋งž๋Š” ๋ฐ์ดํ„ฐ ์ „๋žต์ด ํ•„์š”ํ•˜๋‹ค. ์ด๋Š” ๋ฐ์ดํ„ฐ ํ’ˆ์งˆ์„ ๊ฐ•ํ™”ํ•˜๊ณ  ๋ฐ์ดํ„ฐ ์‚ฌ์ผ๋กœ๋ฅผ ํ•ด์†Œํ•˜๋ฉฐ, ๋น„์ฆˆ๋‹ˆ์Šค๊ฐ€ ์šฐ์„ ์ˆœ์œ„๋กœ ์‚ผ์€ AI ํ™œ์šฉ ์‚ฌ๋ก€์— ๋ฐ์ดํ„ฐ ์—ญ๋Ÿ‰์„ ์ •๋ ฌํ•˜๋Š” ์ „๋žต์ด๋‹ค.

์—…๊ณ„ ์ „๋ฌธ๊ฐ€๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ์‹คํ–‰ ๋‹จ๊ณ„๋ฅผ ์ œ์‹œํ•œ๋‹ค.

1. ๋ฐ์ดํ„ฐ ์†Œ์œ  ๊ฐœ๋…์„ ์žฌ์ •์˜ํ•˜๋ผ

IDC์˜ ๋ผ์ดํŠธ๋Š” โ€œ๋ฐ์ดํ„ฐ ์†Œ์œ ๋ฅผ ์ˆœ์ˆ˜ํ•œ IT ๋ฌธ์ œ๋กœ๋งŒ ๋‹ค๋ฃจ๋Š” ์ „ํ†ต์  ๋ชจ๋ธ์€ ๋” ์ด์ƒ ์œ ํšจํ•˜์ง€ ์•Š๋‹คโ€๋ผ๋ฉฐ โ€œ์‚ฌ์—…๋ถ€, ์ œํ’ˆ ์กฐ์ง, AI ํ”Œ๋žซํผ์ด ์ง€์†์ ์œผ๋กœ ๋ฐ์ดํ„ฐ๋ฅผ ์ƒ์„ฑํ•˜๊ณ  ๋ณ€ํ™˜ํ•˜๋Š” ํ™˜๊ฒฝ์—์„œ๋Š” ์ด๋Ÿฌํ•œ ์ ‘๊ทผ์ด ์ž‘๋™ํ•˜์ง€ ์•Š๋Š”๋‹คโ€๋ผ๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค. ๊ทธ๋Š” โ€œ์ด์ƒ์ ์œผ๋กœ๋Š” CDO์™€ ๊ฐ™์€ ๊ณ ์œ„ ๋ฐ์ดํ„ฐ ๋ฆฌ๋”๊ฐ€ ๋ช…ํ™•ํ•œ ์ฑ…์ž„์„ ์ ธ์•ผ ํ•˜์ง€๋งŒ, CDO๊ฐ€ ์—†๋Š” ์กฐ์ง์ด๋ผ๋ฉด IT, ๋ณด์•ˆ, ์‚ฌ์—… ๋ถ€๋ฌธ ์ „๋ฐ˜์— ๊ฑธ์ณ ๋ฐ์ดํ„ฐ ๊ฑฐ๋ฒ„๋„Œ์Šค ์ฑ…์ž„์„ ๋ช…ํ™•ํ•˜๊ฒŒ ๋ถ„์‚ฐํ•ด์•ผ ํ•œ๋‹คโ€๋ผ๊ณ  ๋งํ–ˆ๋‹ค.

๋˜ํ•œ ๊ทธ๋Š” โ€œ์ •์ฑ…์„ ์ •์˜ํ•˜๋Š” ๋‹จ์ผํ•œ ๊ถŒํ•œ ์ฐฝ๊ตฌ์™€ ์‹คํ–‰์„ ๋‹ด๋‹นํ•˜๋Š” ์—ฐํ•ฉํ˜• ๋ชจ๋ธ์„ ํ•จ๊ป˜ ๊ฐ–์ถ”๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๋‹คโ€๋ผ๋ฉฐ โ€œ์ด๋ฅผ ํ†ตํ•ด ์‚ฌ์—…๋ถ€์˜ ์ž์œจ์„ฑ์€ ์œ ์ง€ํ•˜๋˜, ํ†ต์ œ๋˜์ง€ ์•Š์€ ์ƒํƒœ๋Š” ํ”ผํ•  ์ˆ˜ ์žˆ๋‹คโ€๋ผ๊ณ  ๋ง๋ถ™์˜€๋‹ค.

์„ธ์ธํŠธํ† ๋จธ์Šค๋Œ€ํ•™๊ต ์†Œํ”„ํŠธ์›จ์–ด๊ณตํ•™ยท๋ฐ์ดํ„ฐ์‚ฌ์ด์–ธ์Šคํ•™๊ณผ ํ•™๊ณผ์žฅ์ด์ž ์‘์šฉ ์ธ๊ณต์ง€๋Šฅ ์„ผํ„ฐ ์†Œ์žฅ์ธ ๋งŒ์ง“ ๋ ˆ๊ฒŒ๋Š” ๋ฐ์ดํ„ฐ ์˜ค๋„ˆ์˜ ์—ญํ• ์„ ๋ฐ์ดํ„ฐ ๊ด€๋ฆฌ์ž, ์ฆ‰ ๋ฐ์ดํ„ฐ ์ŠคํŠœ์–ด๋“œ๋กœ ์žฌ์ •์˜ํ•  ๊ฒƒ์„ ๊ถŒ๊ณ ํ–ˆ๋‹ค. ๋ ˆ๊ฒŒ๋Š” ์ด๋“ค์ด ๋ฐ์ดํ„ฐ๋ฅผ ์†Œ์œ ํ•˜๋Š” ์กด์žฌ๊ฐ€ ์•„๋‹ˆ๋ผ, ์ค‘์•™ ๋ฐ์ดํ„ฐ ์กฐ์ง์ด ์ •ํ•œ ํ‘œ์ค€๊ณผ ๊ฑฐ๋ฒ„๋„Œ์Šค, ๋ณด์•ˆ, ์ƒํ˜ธ์šด์šฉ์„ฑ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๋ฐ์ดํ„ฐ์˜ ์˜๋ฏธ์™€ ํ’ˆ์งˆ์„ ์ฑ…์ž„์ง€๋Š” ์—ญํ• ์„ ๋งก์•„์•ผ ํ•œ๋‹ค๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค.

2. ๋ฐ์ดํ„ฐ ์‚ฌ์ผ๋กœ๋ฅผ ํ•ด์†Œํ•˜๋ผ

์ด๋ฅผ ์œ„ํ•ด ๋ผ์ดํŠธ๋Š” โ€œ์ƒ์„ฑํ˜• AI๋Š” ์›Œํฌํ”Œ๋กœ์™€ ํ”„๋กœ์„ธ์Šค, ๋ฐ์ดํ„ฐ ์†Œ์Šค๊ฐ€ ์ „์‚ฌ์ ์œผ๋กœ ์—ฐ๊ฒฐ๋  ๋•Œ์—๋งŒ ๊ฐ€์น˜๋ฅผ ์ฐฝ์ถœํ•˜๊ธฐ ๋•Œ๋ฌธ์—, CIO๋Š” ๊ณตํ†ต์˜ AI ๋ฐ ๋ฐ์ดํ„ฐ ์„ฑ๊ณผ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ์‚ฌ์—… ๋ถ€๋ฌธ์„ ์ •๋ ฌํ•ด์•ผ ํ•œ๋‹คโ€๋ผ๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค.

๊ทธ๋Š” ์ด์–ด โ€œ์ด๋ฅผ ์œ„ํ•ด์„œ๋Š” ํฌ๋กœ์ŠคํŽ‘์…”๋„ ๊ฑฐ๋ฒ„๋„Œ์Šค๋ฅผ ๊ตฌ์ถ•ํ•˜๊ณ , ๋ถ„๋ฅ˜ ์ฒด๊ณ„์™€ ์ •์ฑ…์„ ํ‘œ์ค€ํ™”ํ•˜๋ฉฐ, ๋ฐ์ดํ„ฐ๋ฅผ ๋ณดํ˜ธํ•˜๊ธฐ๋ณด๋‹ค ๊ณต์œ ํ•˜๋„๋ก ์œ ๋„ํ•˜๋Š” ์ธ์„ผํ‹ฐ๋ธŒ๋ฅผ ๋งˆ๋ จํ•ด์•ผ ํ•œ๋‹คโ€๋ผ๊ณ  ๋งํ–ˆ๋‹ค. ๋˜ํ•œ โ€œํ†ตํ•ฉ ํ”Œ๋žซํผ, ๋ฉ”ํƒ€๋ฐ์ดํ„ฐ ๊ณ„์ธต, ๊ณตํ†ต ๋ณด์•ˆ ํ”„๋ ˆ์ž„์›Œํฌ ๊ฐ™์€ ๊ธฐ์ˆ ๋„ ๋„์›€์ด ๋˜์ง€๋งŒ, ์ง„์ •ํ•œ ์ „ํ™˜์„ ์ด๋„๋Š” ์š”์†Œ๋Š” C๋ ˆ๋ฒจ๊ณผ ์ฃผ์š” ๋น„์ฆˆ๋‹ˆ์Šค ์ดํ•ด๊ด€๊ณ„์ž ์ „๋ฐ˜์— ๊ฑธ์นœ ์กฐ์œจ๋œ ๋ฆฌ๋”์‹ญโ€์ด๋ผ๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค.

3. AI ์‹œ๋Œ€๋ฅผ ์œ„ํ•œ ๋ฐ์ดํ„ฐ ๊ธฐ์ˆ ์— ํˆฌ์žํ•˜๋ผ

๋ผ์ดํŠธ๋Š” AI ์‹œ๋Œ€์— ํ•„์š”ํ•œ ๋ฐ์ดํ„ฐ ๊ธฐ์ˆ ๋กœ ํ˜„๋Œ€์ ์ธ ๋ฐ์ดํ„ฐ ๋ ˆ์ดํฌ์™€ ๋ฐ์ดํ„ฐ ๋ ˆ์ดํฌํ•˜์šฐ์Šค, ๋ฒกํ„ฐ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค, ํ™•์žฅํ˜• ์˜ค๋ธŒ์ ํŠธ ์Šคํ† ๋ฆฌ์ง€๋ฅผ ๊ผฝ์•˜๋‹ค. ๊ทธ๋Š” ์ด๋Ÿฌํ•œ ๊ธฐ์ˆ ์ด โ€œ๊ฐ•๋ ฅํ•œ ๊ฑฐ๋ฒ„๋„Œ์Šค๋ฅผ ์œ ์ง€ํ•˜๋ฉด์„œ๋„ ๋Œ€์šฉ๋Ÿ‰์˜ ๋ฉ€ํ‹ฐ๋ชจ๋‹ฌ ๋ฐ์ดํ„ฐ๋ฅผ ์ฒ˜๋ฆฌํ•  ์ˆ˜ ์žˆ๋‹คโ€๋ผ๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค.

๋˜ํ•œ ์กฐ์ง์€ AI ์›Œํฌํ”Œ๋กœ๊ฐ€ ์ฒ˜์Œ๋ถ€ํ„ฐ ๋๊นŒ์ง€ ์•ˆ์ •์ ์œผ๋กœ ์ž‘๋™ํ•˜๋„๋ก ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘, ์ •์ œ, ๋ณ€ํ™˜, ์ด๋™์„ ์ž๋™ํ™”ํ•˜๋Š” ์˜ค์ผ€์ŠคํŠธ๋ ˆ์ด์…˜ ๋ฐ ํŒŒ์ดํ”„๋ผ์ธ ๋„๊ตฌ๋ฅผ ๊ฐ–์ถฐ์•ผ ํ•œ๋‹ค. ๋ชจ๋ธ์ด ๋ฐ์ดํ„ฐ์˜ ๋งฅ๋ฝ์„ ์ดํ•ดํ•˜๊ณ  ๊ณ„๋ณด๋ฅผ ์ถ”์ ํ•˜๋ฉฐ ๊ตฌ์กฐํ™” ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตฌ์กฐํ™” ๋ฐ์ดํ„ฐ๋ฅผ ์•ˆ์ „ํ•˜๊ณ  ์‹ ๋ขฐ์„ฑ ์žˆ๊ฒŒ ํ™œ์šฉํ•˜๋ ค๋ฉด ๋ฉ”ํƒ€๋ฐ์ดํ„ฐ ์—”์ง„๊ณผ ๊ฑฐ๋ฒ„๋„Œ์Šค ๊ณ„์ธต ์—ญ์‹œ ํ•„์ˆ˜์ ์ด๋‹ค.

๋งŒ์ง“ ๋ ˆ๊ฒŒ๋Š” โ€œ๋ชจ๋“ˆํ˜•์ด๋ฉฐ ๊ฑฐ๋ฒ„๋„Œ์Šค๊ฐ€ ์ ์šฉ๋˜๊ณ , ์ง€์†์ ์œผ๋กœ ์ง„ํ™”ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐ์ดํ„ฐ ํ”Œ๋žซํผ ๊ณ„์ธต์„ ๊ตฌ์ถ•ํ•ด์•ผ ํ•œ๋‹คโ€๋ผ๊ณ  ์กฐ์–ธํ–ˆ๋‹ค. ๊ทธ๋Š” โ€œ๋ฐ์ดํ„ฐ๋ฅผ ๋‹จ์ผ ํŒŒ์ดํ”„๋ผ์ธ์„ ์œ„ํ•œ ์ž์›์ด ์•„๋‹ˆ๋ผ ์žฌ์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ์ œํ’ˆ์œผ๋กœ ๋‹ค๋ฃฐ ์ˆ˜ ์žˆ์–ด์•ผ ํ•˜๋ฉฐ, ๋ฐฐ์น˜ ์ฒ˜๋ฆฌ์™€ ์‹ค์‹œ๊ฐ„ ์š”๊ตฌ๋ฅผ ๋ชจ๋‘ ์ง€์›ํ•  ์ˆ˜ ์žˆ๋Š” ์•„ํ‚คํ…์ฒ˜๊ฐ€ ํ•„์š”ํ•˜๋‹คโ€๋ผ๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค.

๋ ˆ๊ฒŒ๋Š” ๋ฐ์ดํ„ฐ ๋ ˆ์ดํฌ์™€ ๋ฐ์ดํ„ฐ ๋ ˆ์ดํฌํ•˜์šฐ์Šค์— ๋Œ€ํ•ด์„œ๋„ ๊ธ์ •์ ์ธ ํ‰๊ฐ€๋ฅผ ๋‚ด๋ ธ๋‹ค. ๊ทธ๋Š” ์ด๋“ค ๊ธฐ์ˆ ์ด ๊ตฌ์กฐํ™” ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตฌ์กฐํ™” ๋ฐ์ดํ„ฐ๋ฅผ ๋ชจ๋‘ ์ฒ˜๋ฆฌํ•  ์ˆ˜ ์žˆ์–ด โ€œAI์˜ ํ•ต์‹ฌ ๊ธฐ๋ฐ˜์œผ๋กœ ์ž๋ฆฌ ์žก๊ณ  ์žˆ๋‹คโ€๋ผ๊ณ  ๋งํ–ˆ๋‹ค.

๋˜ํ•œ ์˜ํŠธ์›์Šค์˜ ์ตœ๊ณ  AIยท๋ฐ์ดํ„ฐ ์ฑ…์ž„์ž์ธ ์ƒค์–€ ๋ชจํ•œํ‹ฐ๋Š” CIO์—๊ฒŒ ๋ชจ๋“ˆํ˜• ๊ธฐ์ˆ ๊ณผ ์œ ์—ฐํ•œ ๊ตฌ์กฐ๋ฅผ ๊ฐ–์ถ˜ ์ปดํฌ์ €๋ธ” ์—”ํ„ฐํ”„๋ผ์ด์ฆˆ๋ฅผ ๊ตฌ์ถ•ํ•  ๊ฒƒ์„ ๊ถŒ๊ณ ํ–ˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์‚ฌ๋žŒ๊ณผ AI๊ฐ€ ์—ฌ๋Ÿฌ ๊ณ„์ธต์— ๊ฑธ์ณ ๋ฐ์ดํ„ฐ์— ์ ‘๊ทผํ•˜๊ณ  ํ˜‘์—…ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์„ค๋ช…์ด๋‹ค.

์ „๋ฌธ๊ฐ€๋“ค์€ ๋ฐ์ดํ„ฐ ๋ผ์ดํ”„์‚ฌ์ดํด์˜ ๋ณ€ํ™”์— ๋Œ€์‘ํ•˜๋Š” ๊ธฐ์ˆ  ํˆฌ์ž๋„ ์ค‘์š”ํ•˜๋‹ค๊ณ  ์กฐ์–ธํ•œ๋‹ค.

๋ผ์ดํŠธ๋Š” โ€œ์ƒ์„ฑํ˜• AI๋Š” ๋ฐ์ดํ„ฐ ๋ผ์ดํ”„์‚ฌ์ดํด์„ ๊ทผ๋ณธ์ ์œผ๋กœ ์žฌํŽธํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ผ์‹œ์  ๋ฐ์ดํ„ฐ, ์บ์‹œ ๋ฐ์ดํ„ฐ, ์˜๊ตฌ ์ €์žฅ ๋ฐ์ดํ„ฐ๊ฐ€ ํ›จ์”ฌ ๋” ์—ญ๋™์ ์œผ๋กœ ํ˜ผ์žฌ๋˜๋Š” ํ™˜๊ฒฝ์„ ๋งŒ๋“ค๊ณ  ์žˆ๋‹คโ€๋ผ๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค. ๊ทธ๋Š” โ€œ๋Œ€๋ถ€๋ถ„์˜ ์ƒ์„ฑํ˜• AI ๊ฒฐ๊ณผ๋ฌผ์€ ์ˆ˜ ์ดˆ์—์„œ ์ˆ˜ ๋ถ„, ๊ธธ์–ด์•ผ ์ˆ˜ ์‹œ๊ฐ„๋งŒ ์‚ฌ์šฉ๋˜๊ธฐ ๋•Œ๋ฌธ์—, ๋น ๋ฅธ ๋ฐ˜๋ณต๊ณผ ์บ์‹ฑ, ๋ณ€๋™์„ฑ์ด ํฐ ์›Œํฌํ”Œ๋กœ๋ฅผ ์ฒ˜๋ฆฌํ•  ์ˆ˜ ์žˆ๋Š” DRAM๊ณผ SSD ๊ฐ™์€ ๊ณ ์„ฑ๋Šฅ ์ธํ”„๋ผ์— ๋Œ€ํ•œ ์ˆ˜์š”๊ฐ€ ์ปค์ง€๊ณ  ์žˆ๋‹คโ€๋ผ๊ณ  ๋งํ–ˆ๋‹ค.

๋ฐ˜๋ฉด ๊ทธ๋Š” โ€œ์ตœ์ข… ๋ฌธ์„œ, ์Šน์ธ๋œ ๋ฏธ๋””์–ด ์ž์‚ฐ, ํ•ฉ์„ฑ ํ•™์Šต ๋ฐ์ดํ„ฐ, ๊ทœ์ œ ๋Œ€์‘๊ณผ ๊ด€๋ จ๋œ ์ฝ˜ํ…์ธ  ๋“ฑ ์ผ๋ถ€ ์ƒ์„ฑํ˜• AI ๊ฒฐ๊ณผ๋ฌผ์€ ์žฅ๊ธฐ๊ฐ„ ๋ณด์กด๋œ๋‹คโ€๋ผ๋ฉฐ โ€œ์ด๋Ÿฌํ•œ ๋ฐ์ดํ„ฐ๋Š” ์—ฌ์ „ํžˆ ๋น„์šฉ ํšจ์œจ์ ์ด๋ฉด์„œ ๋Œ€์šฉ๋Ÿ‰์„ ์ œ๊ณตํ•˜๋Š” HDD ๊ธฐ๋ฐ˜ ์Šคํ† ๋ฆฌ์ง€์— ํฌ๊ฒŒ ์˜์กดํ•˜๊ณ  ์žˆ๋‹คโ€๋ผ๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค. ์ด์–ด โ€œ์ƒ์„ฑํ˜• AI ๋„์ž…์ด ํ™•๋Œ€๋ ์ˆ˜๋ก, ์ดˆ๊ณ ์† ๋ฉ”๋ชจ๋ฆฌ๋ฅผ ํ™œ์šฉํ•œ ์ผ์‹œ์  ์ฝ˜ํ…์ธ  ์ฒ˜๋ฆฌ๋ถ€ํ„ฐ HDD ๊ธฐ๋ฐ˜์˜ ๊ฒฌ๊ณ ํ•œ ์•„์นด์ด๋ธŒ๊นŒ์ง€ ์ „ ์ฃผ๊ธฐ๋ฅผ ํฌ๊ด„ํ•˜๋Š” ๋ฐ์ดํ„ฐ ์ „๋žต์ด ํ•„์š”ํ•ด์งˆ ๊ฒƒโ€์ด๋ผ๋ฉฐ โ€œ์Šคํ† ๋ฆฌ์ง€ ๋ถ€๋‹ด๊ณผ ๊ตฌ์กฐ ์ž์ฒด๊ฐ€ ๋ณ€ํ™”ํ•˜๊ณ  ์žˆ๊ธฐ ๋•Œ๋ฌธโ€์ด๋ผ๊ณ  ๋ถ„์„ํ–ˆ๋‹ค.

4. ๋ฐ์ดํ„ฐ ์•„ํ‚คํ…์ฒ˜์— ์ž๋™ํ™”์™€ ์ง€๋Šฅ ์š”์†Œ๋ฅผ ๋”ํ•˜๋ผ

๋ชจํ•œํ‹ฐ๋Š” ๊ธฐ์—… ๋ฐ์ดํ„ฐ ํ™˜๊ฒฝ์ด ์—ด์•…ํ•œ ์›์ธ์œผ๋กœ ๋ฐ์ดํ„ฐ ์ƒ์‚ฐ์ž์™€ ๋ฐ์ดํ„ฐ ์†Œ๋น„์ž ๊ฐ„์˜ ๋‹จ์ ˆ์„ ์ง€๋ชฉํ–ˆ๋‹ค. ๊ทธ๋Š” ์ƒ์„ฑ๋œ ๋ฐ์ดํ„ฐ๊ฐ€ ์ด๋ฅธ๋ฐ” ๋ฐ์ดํ„ฐ ์›จ์–ดํ•˜์šฐ์Šค๋ผ๋Š” โ€œ์–ด๋”˜๊ฐ€์˜ ๊ฑฐ๋Œ€ํ•œ ๋”๋ฏธโ€์— ์Œ“์ธ ๋’ค, ์ด๋ฅผ ํ™œ์šฉํ•˜๊ธฐ ์œ„ํ•ด ๋ณ„๋„์˜ ๋ถ„์„ ๊ณ„์ธต์„ ๋ง๋ถ™์ด๋Š” ๋ฐฉ์‹์ด ์ผ๋ฐ˜์ ์ด๋ผ๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ ‘๊ทผ์€ ์‹ค์ œ๋กœ ์ž‘๋™ํ•˜๊ฒŒ ๋งŒ๋“ค๊ธฐ ์œ„ํ•ด ๋งŽ์€ ์ธ์  ์ง€์‹๊ณผ ์ˆ˜์ž‘์—…์„ ํ•„์š”๋กœ ํ•œ๋‹ค๋Š” ์ง€์ ์ด๋‹ค.

์ด์— ๋”ฐ๋ผ ๋ชจํ•œํ‹ฐ๋Š” ๋ฐ์ดํ„ฐ ์ƒ์‚ฐ์ž์™€ ๋ฐ์ดํ„ฐ ์†Œ๋น„์ž์˜ ๊ฑฐ๋ฆฌ๋ฅผ ์ขํžˆ๊ธฐ ์œ„ํ•ด ๋ฐ์ดํ„ฐ ์ œํ’ˆ ๊ด€์ ์„ ๋„์ž…ํ•˜๊ณ , ํ•„์š”ํ•  ๋•Œ AI๊ฐ€ ์ ์ ˆํ•œ ๋ฐ์ดํ„ฐ๋ฅผ ์‹๋ณ„ํ•˜๊ณ  ์ ‘๊ทผํ•  ์ˆ˜ ์žˆ๋„๋ก ์ „์‚ฌ ์•„ํ‚คํ…์ฒ˜์— ์ž๋™ํ™”์™€ ์ง€๋Šฅ์„ ์ถ”๊ฐ€ํ•ด์•ผ ํ•œ๋‹ค๊ณ  ์กฐ์–ธํ–ˆ๋‹ค.

๊ทธ๋Š” CIO๊ฐ€ ๋ชจ๋ธ ์ปจํ…์ŠคํŠธ ํ”„๋กœํ† ์ฝœ(MCP)์„ ํ™œ์šฉํ•ด ๋ฐ์ดํ„ฐ๋ฅผ ๊ฐ์‹ธ๊ณ , ํ”„๋กœํ† ์ฝœ ์ˆ˜์ค€์˜ ์ ‘๊ทผ ๋ฐฉ์‹์„ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ๋‹ค๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค. ๋‹ค๋งŒ ์ด๋ฅผ ์œ„ํ•ด์„œ๋Š” ๋ฐ์ดํ„ฐ์˜ ๋ฐœ๊ฒฌ ๊ฐ€๋Šฅ์„ฑ์„ ๋ณด์žฅํ•  ์ˆ˜ ์žˆ๋„๋ก, ์กฐ์ง์ด ๋ฐ์ดํ„ฐ ์นดํƒˆ๋กœ๊ทธ์™€ ๋„๊ตฌ ์ „๋ฐ˜์— ๊ฑธ์ณ ๊ด€๋ จ ์ •๋ณด๋ฅผ ์ฒด๊ณ„์ ์œผ๋กœ ์ธ์ฝ”๋”ฉํ•ด์•ผ ํ•œ๋‹ค๊ณ  ๋ง๋ถ™์˜€๋‹ค.

5. ๊ตฌ์กฐํ™”ยท๋น„๊ตฌ์กฐํ™” ๋ฐ์ดํ„ฐ๋ฅผ AI์— ๋งž๊ฒŒ ์ค€๋น„ํ•˜๋ผ

๋ผ์ดํŠธ๋Š” โ€œ๊ตฌ์กฐํ™” ๋ฐ์ดํ„ฐ๋Š” ์ผ๊ด€๋œ ํ˜•์‹์œผ๋กœ ์ •๋ฆฌ๋˜๊ณ , ์ ์ ˆํ•œ ๊ฑฐ๋ฒ„๋„Œ์Šค๊ฐ€ ์ ์šฉ๋˜๋ฉฐ, ์ •ํ™•ํ•œ ๋ฉ”ํƒ€๋ฐ์ดํ„ฐ๋กœ ๋ณด๊ฐ•๋  ๋•Œ AI์— ์ ํ•ฉํ•œ ์ƒํƒœ๊ฐ€ ๋œ๋‹คโ€๋ผ๋ฉฐ โ€œ์ด ๊ฒฝ์šฐ ๋ชจ๋ธ์ด ๋ฐ์ดํ„ฐ๋ฅผ ์ดํ•ดํ•˜๊ณ  ํ™œ์šฉํ•˜๊ธฐ๊ฐ€ ํ›จ์”ฌ ์‰ฌ์›Œ์ง„๋‹คโ€๋ผ๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค. ๊ทธ๋Š” โ€œ์กฐ์ง์€ ๊ฐ•๋ ฅํ•œ ๋ฐ์ดํ„ฐ ํ’ˆ์งˆ ๊ด€๋ฆฌ์™€ ๋งˆ์Šคํ„ฐ ๋ฐ์ดํ„ฐ ๊ด€๋ฆฌ, ๋ช…ํ™•ํ•œ ์ฑ…์ž„ ์ฒด๊ณ„๋ฅผ ์šฐ์„ ์ ์œผ๋กœ ๊ตฌ์ถ•ํ•ด ๊ตฌ์กฐํ™” ๋ฐ์ดํ„ฐ์…‹์ด ์‹ ๋ขฐ์„ฑ๊ณผ ์ƒํ˜ธ์šด์šฉ์„ฑ์„ ์œ ์ง€ํ•˜๊ณ , ํŠน์ • AI ํ™œ์šฉ ์‚ฌ๋ก€์— ๋งž๊ฒŒ ์ •๋ ฌ๋˜๋„๋ก ํ•ด์•ผ ํ•œ๋‹คโ€๋ผ๊ณ  ๋งํ–ˆ๋‹ค.

์ „๋ฌธ๊ฐ€๋“ค์€ ์ด๋Ÿฌํ•œ ๊ทœ์œจ์„ ๋น„๊ตฌ์กฐํ™” ๋ฐ์ดํ„ฐ์—๋„ ๋™์ผํ•˜๊ฒŒ ์ ์šฉํ•ด์•ผ ํ•œ๋‹ค๊ณ  ๊ฐ•์กฐํ•œ๋‹ค. ๋น„๊ตฌ์กฐํ™” ๋ฐ์ดํ„ฐ ์—ญ์‹œ ์ ์ ˆํ•œ ํƒœ๊น…๊ณผ ๋ถ„๋ฅ˜, ๋ฉ”ํƒ€๋ฐ์ดํ„ฐ ๋ณด๊ฐ•์„ ํ†ตํ•ด AI ์‹œ์Šคํ…œ์ด ํšจ๊ณผ์ ์œผ๋กœ ์ดํ•ดํ•˜๊ณ  ๊ฒ€์ƒ‰ํ•  ์ˆ˜ ์žˆ๋„๋ก ์ค€๋น„๋ผ์•ผ ํ•œ๋‹ค๋Š” ์„ค๋ช…์ด๋‹ค.

๋งŒ์ง“ ๋ ˆ๊ฒŒ๋Š” โ€œ๋น„๊ตฌ์กฐํ™” ๋ฐ์ดํ„ฐ๋ฅผ ์ผ๊ธ‰ ๋ฐ์ดํ„ฐ ์ž์‚ฐ์œผ๋กœ ๋‹ค๋ค„์•ผ ํ•œ๋‹คโ€๋ผ๋ฉฐ โ€œ๊ณ ๊ฐ ์„œ๋น„์Šค ์Œ์„ฑ ํ†ตํ™”, ๋ฉ”์‹œ์ง€, ๋ฌธ์„œ์™€ ๊ฐ™์€ ๋น„๊ตฌ์กฐํ™” ๋ฐ์ดํ„ฐ์— ๊ฐ€์žฅ ํฅ๋ฏธ๋กœ์šด AI ํ™œ์šฉ ์‚ฌ๋ก€๊ฐ€ ์กด์žฌํ•˜์ง€๋งŒ, ๋งŽ์€ ์กฐ์ง์—์„œ ์—ฌ์ „ํžˆ ๋น„๊ตฌ์กฐํ™” ๋ฐ์ดํ„ฐ๋Š” ์‚ฌ๊ฐ์ง€๋Œ€๋กœ ๋‚จ์•„ ์žˆ๋‹คโ€๋ผ๊ณ  ์ง€์ ํ–ˆ๋‹ค.

๋ ˆ๊ฒŒ๋Š” ์ด๋Ÿฌํ•œ ๋น„๊ตฌ์กฐํ™” ๋ฐ์ดํ„ฐ๋ฅผ ๊ฒ€์ƒ‰ ๊ฐ€๋Šฅํ•œ ํ˜•ํƒœ๋กœ ํ™œ์šฉํ•˜๊ธฐ ์œ„ํ•ด ๋ฒกํ„ฐ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์— ์ €์žฅํ•  ๊ฒƒ์„ ๊ถŒ๊ณ ํ–ˆ๋‹ค.

6. ์™ธ๋ถ€ ๋ฐ์ดํ„ฐ ์†Œ์Šค์™€ ํ•ฉ์„ฑ ๋ฐ์ดํ„ฐ ํ™œ์šฉ์„ ๊ฒ€ํ† ํ•˜๋ผ

๋ผ์ดํŠธ๋Š” โ€œ๊ธฐ์กด ๋ฐ์ดํ„ฐ๊ฐ€ ๋ถˆ์™„์ „ํ•˜๊ฑฐ๋‚˜ ํŽธํ–ฅ๋ผ ์žˆ๊ฑฐ๋‚˜, ๊ทœ๋ชจ๊ฐ€ ๋ถ€์กฑํ•˜๊ฑฐ๋‚˜, ์ถ”์ง„ํ•˜๋ ค๋Š” AI ํ™œ์šฉ ์‚ฌ๋ก€์™€ ์ถฉ๋ถ„ํžˆ ๋งž์ง€ ์•Š๋Š” ๊ฒฝ์šฐ์—๋Š” ์™ธ๋ถ€ ๋ฐ์ดํ„ฐ๋‚˜ ํ•ฉ์„ฑ ๋ฐ์ดํ„ฐ๊ฐ€ ํ•„์š”ํ•œ์ง€ ๋ฐ˜๋“œ์‹œ ๊ฒ€ํ† ํ•ด์•ผ ํ•œ๋‹คโ€๋ผ๊ณ  ๋งํ–ˆ๋‹ค. ๊ทธ๋Š” โ€œํ•ฉ์„ฑ ๋ฐ์ดํ„ฐ๋Š” ์‹ค์ œ ๋ฐ์ดํ„ฐ๊ฐ€ ๋ฏผ๊ฐํ•˜๊ฑฐ๋‚˜ ์ˆ˜์ง‘ ๋น„์šฉ์ด ๋†’๊ณ , ๊ฐœ์ธ์ •๋ณด ๋ณดํ˜ธ๋‚˜ ๊ทœ์ œ, ์šด์˜์ƒ์˜ ์ œ์•ฝ์œผ๋กœ ํ™œ์šฉ์ด ์ œํ•œ๋  ๋•Œ ํŠนํžˆ ์œ ์šฉํ•˜๋‹คโ€๋ผ๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค.

7. ๊ณ ์„ฑ์ˆ™๋„ ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜์„ ๋‹จ๊ณ„์ ์œผ๋กœ ๊ตฌ์ถ•ํ•˜๋ผ

์„ธ์ผ์ฆˆํฌ์Šค์˜ ์ „์‚ฌ IT ์ „๋žต ๋‹ด๋‹น ์ˆ˜์„๋ถ€์‚ฌ์žฅ์ธ ์‹œ๋ฐ”๋‹ˆ ์•„ํ›„์ž๋Š” ๋ฐ์ดํ„ฐ๊ฐ€ ์™„๋ฒฝํ•˜๊ฒŒ ์ •๋น„๋  ๋•Œ๊นŒ์ง€ ๊ธฐ๋‹ค๋ฆฌ์ง€ ๋ง๋ผ๊ณ  ์กฐ์–ธํ–ˆ๋‹ค.

์•„ํ›„์ž๋Š” โ€œ๋ชจ๋“  ๋ฐ์ดํ„ฐ๋ฅผ ์™„๋ฒฝํ•˜๊ฒŒ ์ค€๋น„ํ•œ ๋’ค์—์•ผ ๋ณธ๊ฒฉ์ ์œผ๋กœ ์‹œ์ž‘ํ•  ์ˆ˜ ์žˆ๋‹ค๊ณ  ๋А๋ผ๋Š” ์กฐ์ง์ด ์žˆ์ง€๋งŒ, ๋™์‹œ์— AI ์—ฌ์ •์„ ์‹œ์ž‘ํ•˜๋ผ๋Š” ์••๋ฐ•๋„ ๋ฐ›๊ณ  ์žˆ๋‹คโ€๋ผ๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค.

๊ทธ๋Š” ๋Œ€๋ถ€๋ถ„์˜ ์ „์‚ฌ ํ”„๋กœ๊ทธ๋žจ์ด ์„ฑ์ˆ™ํ•ด ๊ฐ€๋Š” ๊ณผ์ •๊ณผ ๋งˆ์ฐฌ๊ฐ€์ง€๋กœ, AI ์‹œ๋Œ€๋ฅผ ์œ„ํ•œ ๋ฐ์ดํ„ฐ ํ”„๋กœ๊ทธ๋žจ ์—ญ์‹œ ์ ์ง„์ ์ธ ์ ‘๊ทผ์ด ํ•„์š”ํ•˜๋‹ค๊ณ  ๊ฐ•์กฐํ–ˆ๋‹ค. CIO์™€ ๊ฒฝ์˜์ง„์€ ๋‹จ๊ณ„์ ์œผ๋กœ ๋ฐ์ดํ„ฐ ํ”„๋กœ๊ทธ๋žจ์„ ๊ตฌ์ถ•ํ•  ์ˆ˜ ์žˆ๊ณ , ๋˜ ๊ทธ๋ ‡๊ฒŒ ํ•ด์•ผ ํ•œ๋‹ค๋Š” ๊ฒƒ์ด๋‹ค.

์•„ํ›„์ž๋Š” ํ•˜๋‚˜์˜ AI ๊ธฐ๋ฐ˜ ์„ฑ๊ณผ๋ฅผ ์ง€์›ํ•˜๋Š” ๋ฐ์ดํ„ฐ ์ „๋žต๊ณผ ์•„ํ‚คํ…์ฒ˜๋ฅผ ๋จผ์ € ๊ตฌ์ถ•ํ•œ ๋’ค, ์ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋‹ค์Œ ์„ฑ๊ณผ๋กœ ํ™•์žฅํ•ด ๋‚˜๊ฐ€๋Š” ๋ฐฉ์‹์œผ๋กœ ๋ฐ์ดํ„ฐ ํ”„๋กœ๊ทธ๋žจ์„ ๊ณ ๋„ํ™”ํ•  ๊ฒƒ์„ ๊ถŒ๊ณ ํ–ˆ๋‹ค.

๊ทธ๋Š” โ€œํ•„์š”ํ•œ ๊ฒฐ๊ณผ์—์„œ ๊ฑฐ๊พธ๋กœ ์„ค๊ณ„ํ•˜๋Š” ์‚ฌ๊ณ ๋ฐฉ์‹โ€์ด๋ผ๋ฉฐ โ€œ์šด์˜ ํ™˜๊ฒฝ์— ๋ฐฐํฌํ•˜๊ณ , ์ ์ ˆํ•œ ๊ฐ€๋“œ๋ ˆ์ผ์„ ๊ฐ–์ท„๋Š”์ง€ ํ™•์ธํ•œ ๋’ค ์ด๋ฅผ ๊ด€์ฐฐํ•˜๊ณ  ์กฐ์ •ํ•ด ํ™•์žฅ์„ฑ์„ ํ™•๋ณดํ•œ ๋‹ค์Œ, ๋‹ค์Œ ๋‹จ๊ณ„๋ฅผ ์ง„ํ–‰ํ•˜๋ฉด ๋œ๋‹คโ€๋ผ๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค.

8. ๋ฐ์ดํ„ฐ ์กฐ์ง์„ ์ „์‚ฌ ํ˜‘์—… ๊ตฌ์กฐ๋กœ ๊ตฌ์ถ•ํ•˜๋ผ

๋ผ์ดํŠธ๋Š” โ€œ๋ฐ์ดํ„ฐ๋Š” IT, ๋ฐ์ดํ„ฐ ๊ฑฐ๋ฒ„๋„Œ์Šค, ๋ณด์•ˆ, ๊ทธ๋ฆฌ๊ณ  ์‹ค์ œ๋กœ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•ด ์˜์‚ฌ๊ฒฐ์ •์„ ๋‚ด๋ฆฌ๋Š” ์‚ฌ์—… ๋ถ€๋ฌธ์„ ๋ชจ๋‘ ์•„์šฐ๋ฅด๋Š” ํฌ๋กœ์ŠคํŽ‘์…”๋„ ์ƒํƒœ๊ณ„์˜ ์ง€์›์„ ๋ฐ›์•„์•ผ ํ•œ๋‹คโ€๋ผ๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค.

๊ทธ๋Š” โ€œAI ์‹œ๋Œ€์˜ ๋ฐ์ดํ„ฐ ์ „๋žต์€ ์ด๋“ค ์กฐ์ง์ด ๊ณต๋™์œผ๋กœ ์ฑ…์ž„์„ ๋‚˜๋ˆŒ ๋•Œ ๊ฐ€์žฅ ํšจ๊ณผ์ ์œผ๋กœ ์ž‘๋™ํ•œ๋‹คโ€๋ผ๋ฉฐ โ€œIT ์กฐ์ง์€ ์ธํ”„๋ผ๋ฅผ ๋’ท๋ฐ›์นจํ•˜๊ณ , ๊ฑฐ๋ฒ„๋„Œ์Šค ์กฐ์ง์€ ์‹ ๋ขฐ์„ฑ๊ณผ ํ’ˆ์งˆ์„ ๋ณด์žฅํ•˜๋ฉฐ, ์‚ฌ์—… ์กฐ์ง์€ ๋ฐ์ดํ„ฐ์˜ ๋งฅ๋ฝ๊ณผ ๊ฐ€์น˜๋ฅผ ์ •์˜ํ•˜๋Š” ์—ญํ• ์„ ๋งก์•„์•ผ ํ•œ๋‹คโ€๋ผ๊ณ  ๋งํ–ˆ๋‹ค.
dl-ciokorea@foundryco.com

Google unveils Budget Tracker and BATS framework to rein in AI agent costs

16 December 2025 at 02:45

Googleโ€™s AI research division, in collaboration with researchers from New York University and UC Santa Barbara, has launched a new tool and framework that they claim can rein in agent behavior by placing explicit limits on how much compute agents can consume and how freely they can invoke tools.

The tool, called Budget Tracker, is a plug-in module that injects continuous budget awareness into an agentโ€™s reasoning loop, explicitly signaling how much token and tool-call budget remains so the agent can condition its actions on real-time resource availability, the researchers explained in a paper.

How autonomous agents choose to think, loop, and act when completing a task or user request is quietly inflating enterprise AI budgets, which is increasingly turning into a CIO nightmare.

A research report from IDC cited 92% of 318 decision makers surveyed in the US, UK, and Ireland saying that the cost of their deployed AI agents was higher than expected, with inference being the most common cause.

Another report โ€” Greyhound CIO Pulse 2025 โ€” found that 68% of digital leaders surveyed said that they hit major budget overruns during their first few deployments of agents, and nearly half of these leaders pointed to runaway tool loops and recursive logic being the driver behind the overruns.

That budget signal doesnโ€™t stop at individual agents. Google researchers have also launched a framework, named Budget Aware Test-time Scaling (BATS), that builds on the tracker-driven awareness in an agent and tries to adapt the same to a larger multi-agent system.

This enables large, multi-agent systems to determine when itโ€™s worth โ€œdigging deeperโ€ into a promising line of reasoning versus when to pivot to alternative paths, thereby improving cost-performance trade-offs under tight budget constraints, the researchers wrote.

Practical path to TCO for agentic AI

Analysts say the tool and framework could offer CIOs a practical path to understand and control costs around agentic deployments.

โ€œThe tool and the framework address one of the most pressing questions facing CFOs and CIOs: the true total cost of ownership (TCO) for agentic AI operations. And for enterprise adoption of any technology, TCO is very important,โ€ said Pareekh Jain, principal analyst at Pareekh Consulting.

โ€œMost CIOs would rather accept a predictable agentic system that delivers 90% accuracy at a capped cost than a higher-accuracy system whose per-run cost can vary wildly from a few cents to several dollars,โ€ Jain added.

Seconding Jain, IT management consulting firm Avasantโ€™s research director, Gaurav Dewan, pointed out that many enterprises deploy agents under the assumption that inference is โ€œcheap enoughโ€ at scale.

In practice, however, Dewan said, costs grow non-linearly as agents are often deployed without hard budget caps, execution limits, or reasoning constraints.

He further noted that spending is amplified in multi-agent architectures as agents delegate tasks to other agents.

The tool and the framework mark a โ€œbig shiftโ€ from approaches that similar tools take, according to Greyhound Research Chief Analyst Sanchit Vir Gogia.

โ€œRight now, the tooling landscape is a mess. Plenty of platforms say they optimize agent efficiency, but few actually engage with the problem at runtime. Most solutions in the market operate on a delay; they aggregate usage data, send reports, or shut things down when itโ€™s already too late. Thatโ€™s not cost governance. Thatโ€™s damage control,โ€ Gogia said.

The analyst was referring to tools such as LangSmith (LangChain) & Helicone, which offer observability by logging how much an agent spent.

In contrast, Googleโ€™s Budget Tracker and BATS frameworks introduce budget awareness directly into the decision loop, giving agents real-time feedback about what they have spent, whatโ€™s left, and whatโ€™s worth doing next, that too without the need to babysit the agent, Gogia said.

In the absence of a framework like BATS, enterprises typically had to cobble together throttling rules, hard-coded prompt tweaks, and caching strategies to control costs around the agentic system, Gogia added.

Caveats to enterprise adoption

Despite the differentiated approach of the new tool and framework, analysts caution that they might not be a silver bullet in tackling cost overruns around agentic deployments on their own.

CIOs, according to Dewan, are likely to favor the tool or framework if Google integrates natively with existing agent frameworks and offers policy-driven controls spread granularly across all agents, workflows, and business units. โ€œWhat CIOs need is enforcement, observability, and auditability in one place,โ€ Gogia said. โ€œThey want to know what the agent spent, why it made that decision, what path it took, and whether it stayed within bounds. Especially in regulated sectors, where tool usage may touch PII or trigger downstream financial systems, audit trails are non-negotiable.โ€

โ€œ๊ธฐ์—… AI ์˜ˆ์‚ฐ ๋‘ ๋ฐฐ ์ฆ๊ฐ€ยทยทยท์•ฝ 30%๋Š” ์—์ด์ „ํ‹ฑ AI์— ๋ฐฐ์ •โ€ ์„ธ์ผ์ฆˆํฌ์Šค ์กฐ์‚ฌ

16 December 2025 at 02:23

11์›” ๋ง ๊ณต๊ฐœ๋œ ์ด๋ฒˆ ์กฐ์‚ฌ์—์„œ๋Š” ์—์ด์ „ํ‹ฑ AI์— ๋Œ€ํ•œ ํˆฌ์ž ํ™•๋Œ€๋„ ํ™•์ธ๋๋‹ค. ์‘๋‹ต์ž๋“ค์€ ์ „์ฒด AI ์˜ˆ์‚ฐ์˜ ์•ฝ 30%๋ฅผ ์—์ด์ „ํ‹ฑ AI์— ๋ฐฐ์ •ํ•˜๊ณ  ์žˆ๋‹ค๊ณ  ๋‹ตํ–ˆ์œผ๋ฉฐ, 96%๋Š” ์ด๋ฏธ ๋„์ž…ํ–ˆ๊ฑฐ๋‚˜ ํ–ฅํ›„ 2๋…„ ๋‚ด ๋„์ž…ํ•  ๊ณ„ํš์ด๋ผ๊ณ  ๋ฐํ˜”๋‹ค. ํŠนํžˆ ๊ณ ๊ฐ ์„œ๋น„์Šค ๋“ฑ ๊ณ ๊ฐ ์ ‘์  ์˜์—ญ์—์„œ AI ์—์ด์ „ํŠธ ํ™œ์šฉ์ด ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ๋‹ค๋Š” ์‘๋‹ต์ด ๋งŽ์•˜๋‹ค.

์‹ค์ œ๋กœ CIO์˜ 65%๋Š” ์—์ด์ „ํ‹ฑ AI ๋„์ž… ์ดํ›„ ๊ณ ๊ฐ ์„œ๋น„์Šค ๋ถ€๋ฌธ๊ณผ์˜ ํ˜‘์—…์ด ๊ฐ€์žฅ ๋งŽ๋‹ค๊ณ  ๋‹ตํ–ˆ์œผ๋ฉฐ, ํ•ด๋‹น ๋ถ€๋ฌธ์ด ํ™œ์šฉ ์‚ฌ๋ก€์™€ ๋„์ž… ์ค€๋น„ ์ˆ˜์ค€ ๋“ฑ ์ฃผ์š” ์ง€ํ‘œ์—์„œ ์ƒ๋Œ€์ ์œผ๋กœ ๋†’์€ ํ‰๊ฐ€๋ฅผ ๋ฐ›์•˜๋‹ค. ๊ณ ๊ฐ ์„œ๋น„์Šค์— ์ด์–ด ๋งˆ์ผ€ํŒ…, ์˜์—…, ๊ธˆ์œต, ์ธ์‚ฌ ๋ถ€๋ฌธ ์ˆœ์œผ๋กœ ์—์ด์ „ํ‹ฑ AI์˜ ํ™œ์šฉ๋„์™€ ์ค€๋น„ ์ˆ˜์ค€์ด ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค.

์„ธ์ผ์ฆˆํฌ์Šค๊ฐ€ ๋ฐœํ‘œํ•œ โ€˜์—์ด์ „ํ‹ฑ ์—”ํ„ฐํ”„๋ผ์ด์ฆˆ ์ง€์ˆ˜(Agentic Enterprise Index)โ€™์—์„œ๋„ ๊ด€๋ จ ๊ฒฝํ–ฅ์ด ์ œ์‹œ๋๋‹ค. ์กฐ์‚ฌ์— ๋”ฐ๋ฅด๋ฉด ์†Œ๋น„์ž์˜ 94%๋Š” ์ƒ๋‹ด์›๋ณด๋‹ค AI ์—์ด์ „ํŠธ๋ฅผ ์„ ํ˜ธํ•œ๋‹ค๊ณ  ์‘๋‹ตํ–ˆ์œผ๋ฉฐ, 2025๋…„ ์ƒ๋ฐ˜๊ธฐ AI ์—์ด์ „ํŠธ๋ฅผ ํ†ตํ•œ ๊ณ ๊ฐ ์ƒ๋‹ด ๊ฑด์ˆ˜๋Š” ํ‰๊ท ์ ์œผ๋กœ ์ฆ๊ฐ€ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค.

์—์ด์ „ํ‹ฑ AI ํ™•์‚ฐ๊ณผ ํ•จ๊ป˜ CIO์˜ ์—ญํ•  ๋ณ€ํ™”๋„ ๊ด€์ฐฐ๋๋‹ค. CIO๊ฐ€ ๊ฐ€์žฅ ์ž์ฃผ ํ˜‘์—…ํ•˜๋Š” ์ž„์›์œผ๋กœ CEO๊ฐ€ ๊ผฝํ˜”์œผ๋ฉฐ, ๊ฒฝ์˜ ์˜์‚ฌ๊ฒฐ์ • ๊ณผ์ •์—์„œ CIO์˜ ์ฐธ์—ฌ ๋ฒ”์œ„๊ฐ€ ํ™•๋Œ€๋˜๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ์กฐ์‚ฌ๋๋‹ค. ์ด์— ๋”ฐ๋ผ CIO์˜ ์—ญํ• ์€ ๊ธฐ์ˆ  ์šด์˜ ์ค‘์‹ฌ์—์„œ ๋น„์ฆˆ๋‹ˆ์Šค ์ „๋žต๊ณผ ์—ฐ๊ณ„๋œ ๋ฐฉํ–ฅ์œผ๋กœ ์ด๋™ํ•˜๋Š” ์–‘์ƒ์„ ๋ณด์˜€๋‹ค.

cio trend 2026 from salesforce

Salesforce

๊ธฐ์ˆ ์  ์šฐ์„ ์ˆœ์œ„ ์—ญ์‹œ ๋ณ€ํ™”ํ•˜๊ณ  ์žˆ๋‹ค. ๋ฐ์ดํ„ฐ ์ •๋ฆฌ, ๊ฑฐ๋ฒ„๋„Œ์Šค, ๋ณด์•ˆ๊ณผ ๊ฐ™์€ ๊ธฐ์กด ๊ณผ์ œ์— ๋”ํ•ด AI ๊ธฐ๋ฐ˜ ์›Œํฌํ”Œ๋กœ ๊ตฌ์ถ•, ํ•ต์‹ฌ ํ”Œ๋žซํผ ํ†ตํ•ฉ, ์กฐ์ง ์ฐจ์›์˜ AI ํ™œ์šฉ ํ™•๋Œ€๊ฐ€ ์ฃผ์š” ๊ณผ์ œ๋กœ ์–ธ๊ธ‰๋๋‹ค. CIO์˜ 93%๋Š” AI ์—์ด์ „ํŠธ ๋„์ž… ํšจ๊ณผ๊ฐ€ ๊ธฐ์กด ์—…๋ฌด ํ๋ฆ„๊ณผ์˜ ์—ฐ๊ณ„ ์ˆ˜์ค€์— ๋‹ฌ๋ ค ์žˆ๋‹ค๊ณ  ์‘๋‹ตํ–ˆ๋‹ค.

AI ํ™œ์šฉ ๊ณผ์ •์—์„œ ๊ฐ€์žฅ ํฐ ๊ณผ์ œ๋กœ๋Š” ๋ฐ์ดํ„ฐ ์‹ ๋ขฐ ๋ฌธ์ œ๊ฐ€ ์ง€์ ๋๋‹ค. ์‘๋‹ต์ž๋“ค์€ ๋ฐ์ดํ„ฐ ๋ณด์•ˆ๊ณผ ๊ฐœ์ธ์ •๋ณด ๋ณดํ˜ธ๋ฅผ ์ฃผ์š” ์šฐ๋ ค ์š”์†Œ๋กœ ๊ผฝ์•˜์œผ๋ฉฐ, ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐ์ดํ„ฐ ํ™•๋ณด์˜ ์–ด๋ ค์›€๋„ ํ•จ๊ป˜ ์–ธ๊ธ‰ํ–ˆ๋‹ค. ์—์ด์ „ํ‹ฑ AI ๋„์ž…์„ ์œ„ํ•ด ์ตœ๊ณ ๋ฐ์ดํ„ฐ์ฑ…์ž„์ž(CDO)์™€ ๊ธด๋ฐ€ํžˆ ํ˜‘์—…ํ•˜๊ณ  ์žˆ๋‹ค๊ณ  ๋‹ตํ•œ ๋น„์œจ์€ 35%์˜€๊ณ , IT ์˜ˆ์‚ฐ ์ค‘ ๋ฐ์ดํ„ฐ ๋ณด์•ˆ์— ๋ฐฐ์ •๋œ ๋น„์ค‘์€ 14%๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ฐ์ดํ„ฐ ๊ฑฐ๋ฒ„๋„Œ์Šค๊ฐ€ ์ถฉ๋ถ„ํžˆ ๊ตฌ์ถ•๋ผ ์žˆ๋‹ค๊ณ  ์‘๋‹ตํ•œ ๋น„์œจ์€ 23%์— ๊ทธ์ณค๋‹ค.

ํ•œํŽธ AI ํ™œ์šฉ์ด ๋Š˜์–ด๋‚˜๋ฉด์„œ ๋ถ€์„œ ๊ฐ„ ํ˜‘์—… ํ•„์š”์„ฑ๋„ ์ปค์ง€๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์‘๋‹ต์ž์˜ 81%๋Š” AI ๋„์ž… ์ดํ›„ HR, ์žฌ๋ฌด, ์˜์—… ๋“ฑ ํƒ€ ๋ถ€์„œ์™€์˜ ํ˜‘์—… ์ค‘์š”์„ฑ์ด ๋†’์•„์กŒ๋‹ค๊ณ  ๋‹ตํ–ˆ์œผ๋‚˜, ์‹ค์ œ ํ˜‘์—… ์ˆ˜์ค€์ด ์ถฉ๋ถ„ํ•˜๋‹ค๊ณ  ํ‰๊ฐ€ํ•œ ๋น„์œจ์€ ์ ˆ๋ฐ˜์— ๋ชป ๋ฏธ์ณค๋‹ค.

์„ธ์ผ์ฆˆํฌ์Šค์˜ CIO ๋‹ค๋‹ˆ์—˜ ์Šˆ๋ฏธํŠธ๋Š” โ€œ์กฐ์ง ๋‚ด์—์„œ ์—์ด์ „ํ‹ฑ AI๊ฐ€ ๋‹จ๊ณ„์ ์œผ๋กœ ์ ์šฉ๋˜๊ณ  ์žˆ๋‹คโ€๋ผ๋ฉฐ โ€œ์—…๋ฌด ํ๋ฆ„๊ณผ์˜ ์—ฐ๊ณ„์™€ ๋ฐ์ดํ„ฐ ์‹ ๋ขฐ ํ™•๋ณด๊ฐ€ ํ•ต์‹ฌ ๊ณผ์ œ๋กœ ์ธ์‹๋˜๊ณ  ์žˆ๋‹คโ€๋ผ๊ณ  ๋งํ–ˆ๋‹ค.

ํ•œํŽธ ์„ธ์ผ์ฆˆํฌ์Šค๋Š” ๊ธฐ์—…์˜ AI ํ™œ์šฉ๊ณผ ๋ฐ์ดํ„ฐ ํ†ตํ•ฉ์„ ์ง€์›ํ•˜๊ธฐ ์œ„ํ•ด ์—์ด์ „ํŠธํฌ์Šค 360(Agentforce 360)๊ณผ ๋ฐ์ดํ„ฐ 360 ๋“ฑ์„ ์ œ๊ณตํ•˜๊ณ  ์žˆ๋‹ค.
jihyun.lee@foundryco.com

์นผ๋Ÿผ | ์ฒซ ์—”ํ„ฐํ”„๋ผ์ด์ฆˆ AI ์•ฑ์„ ๊ฐœ๋ฐœํ•˜๊ธฐ ์ „์— ์ƒ๊ฐํ•ด์•ผ ํ•  ๊ฒƒ

16 December 2025 at 02:18

AI ๋ถ„์•ผ์—์„œ ์žก์Œ์„ ๊ฐ€๋ ค๋‚ด๊ธฐ๊ฐ€ ์ ์  ๋” ์–ด๋ ค์›Œ์ง€๊ณ  ์žˆ๋‹ค. ๋งค์ผ ์ƒˆ๋กœ์šด ๋ฒค์น˜๋งˆํฌ๊ฐ€ ๋“ฑ์žฅํ•˜๊ณ , ์ƒˆ โ€˜์ตœ์ฒจ๋‹จโ€™ ๋ชจ๋ธ์ด ๋ฐœํ‘œ๋˜๋ฉฐ, ์–ด์ œ์˜ ์•„ํ‚คํ…์ฒ˜๊ฐ€ ์ด๋ฏธ ๊ตฌ์‹์ด ๋๋‹ค๋Š” ์ฃผ์žฅ๋„ ๋Š์ž„์—†์ด ๋‚˜์˜จ๋‹ค. ํŠนํžˆ ๋Œ€๊ธฐ์—…์—์„œ ์ฒซ AI ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ๊ตฌ์ถ•ํ•ด์•ผ ํ•˜๋Š” ๊ฐœ๋ฐœ์ž๋ผ๋ฉด, ์Ÿ์•„์ง€๋Š” ๋ฐœํ‘œ์˜ ์–‘ ์ž์ฒด๊ฐ€ ํŒ๋‹จ์„ ๋งˆ๋น„์‹œํ‚ฌ ์ˆ˜ ์žˆ๋‹ค.

์ด๋•Œ ์ˆœ์œ„๋Š” ํฐ ๋„์›€์ด ๋˜์ง€ ์•Š๋Š”๋‹ค. ๋ณ€ํ™” ์†๋„๊ฐ€ ๋„ˆ๋ฌด ๋น ๋ฅด๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๋ถˆ๊ณผ ์ง€๋‚œ์ฃผ๋งŒ ํ•ด๋„ ๋ฏธ์ŠคํŠธ๋ž„(Mistral)์˜ ์ƒˆ๋กœ์šด ๋ชจ๋ธ์ด ๊ณต๊ฐœ๋๊ณ , ๊ตฌ๊ธ€์€ ๋Œ€๊ทœ๋ชจ ์—…๋ฐ์ดํŠธ๋ฅผ ๋ฐœํ‘œํ–ˆ์œผ๋ฉฐ, GPT-4o๋ฅผ ์ฝ”๋”ฉ ๋ฒค์น˜๋งˆํฌ์—์„œ ์•ž์„ ๋‹ค๊ณ  ์ฃผ์žฅํ•˜๋Š” ์˜คํ”ˆ์›จ์ดํŠธ ๋ชจ๋ธ๋„ ๋“ฑ์žฅํ–ˆ๋‹ค. ์ด๋Ÿฐ ์ƒํ™ฉ์—์„œ ๋ฌด์—‡์„ ํ•ด์•ผ ํ• ๊นŒ? ์˜ค๋Š˜์˜ ๋ชจ๋ธ์„ ๊ธฐ์ค€์œผ๋กœ ๊ฐœ๋ฐœ์„ ์‹œ์ž‘ํ–ˆ๋‹ค๊ฐ€ ๋ฐฐํฌํ•˜๊ธฐ๋„ ์ „์— ๊ตฌ์‹์ด ๋˜๋Š” ๊ฒƒ์€ ์•„๋‹๊นŒ? ๋” ๊ทผ๋ณธ์ ์œผ๋กœ๋Š”, ๊ณ„ํšํ•˜๊ณ  ์ถ”๋ก ํ•˜๋ฉฐ ๋ณต์žกํ•œ ์›Œํฌํ”Œ๋กœ์šฐ๋ฅผ ์‹คํ–‰ํ•˜๋Š” ์™„์ „ ์ž์œจํ˜• ์—์ด์ „ํŠธ ์‹œ์Šคํ…œ์„ ์•„์ง ๋งŒ๋“ค๊ณ  ์žˆ์ง€ ์•Š๋‹ค๋ฉด ์ด๋ฏธ ํฌ๊ฒŒ ๋’ค์ฒ˜์ง„ ๊ฒƒ์€ ์•„๋‹๊นŒ ํ•˜๋Š” ๊ฑฑ์ •๋„ ์ƒ๊ธธ ์ˆ˜ ์žˆ๋‹ค.

๊ทธ๋Ÿฐ ์ƒ๊ฐ์€ ๋ฉˆ์ถฐ๋„ ๋œ๋‹ค. ์‹ค์ œ๋กœ ๋’ค์ฒ˜์ง„ ๊ฒƒ์ด ์•„๋‹ˆ๋‹ค.

์—”ํ„ฐํ”„๋ผ์ด์ฆˆ AI์˜ ํ˜„์‹ค์€ ๋งค์ฃผ ๋ฐœํ‘œ๋˜๋Š” ์ฑ—๋ด‡ ์„ฑ๋Šฅ ๊ฒฝ์Ÿ์˜ ๊ฒฐ๊ณผ์™€๋Š” ํฐ ๊ด€๋ จ์ด ์—†๋‹ค. ํ•ต์‹ฌ์€ ํ™”๋ คํ•˜์ง€๋„ ์•Š๊ณ  ์ฃผ๋ชฉ๋ฐ›์ง€๋„ ์•Š๋Š” ๋ฐ์ดํ„ฐ ์—”์ง€๋‹ˆ์–ด๋ง, ๊ฑฐ๋ฒ„๋„Œ์Šค, ํ†ตํ•ฉ ์ž‘์—…์— ์žˆ๋‹ค. ์ด์ œ AI๋ฅผ ๋งŒ๋Šฅ ํ•ด๊ฒฐ์ฑ…์ฒ˜๋Ÿผ ๋ฐ”๋ผ๋ณด๋˜ ์‹œ๊ธฐ๋ฅผ ์ง€๋‚˜ ์‚ฐ์—…ํ™” ๋‹จ๊ณ„๋กœ ๋“ค์–ด์„œ๊ณ  ์žˆ๋‹ค. ๊ณผ์ œ๋Š” ๊ฐ€์žฅ ๋˜‘๋˜‘ํ•œ ๋ชจ๋ธ์„ ๊ณ ๋ฅด๋Š” ๊ฒƒ์ด ์•„๋‹ˆ๋ผ, ์‹ค์ œ ์„ธ๊ณ„์˜ ์˜จ๊ฐ– ๋น„ํ•ฉ๋ฆฌ์„ฑ๊ณผ ๋ณต์žก์„ฑ์„ ๊ฒฌ๋ŽŒ๋‚ผ ์ˆ˜ ์žˆ๋Š” ์‹œ์Šคํ…œ์„ ๊ตฌ์ถ•ํ•˜๋Š” ๊ฒƒ์ด๋‹ค.

๊ฐœ๋ฐœ์ž๊ฐ€ ์ฒซ ๋ฒˆ์งธ AI ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ๋งŒ๋“ค ๋•Œ ์ฐธ๊ณ ํ•  ๋งŒํ•œ ๋ช‡ ๊ฐ€์ง€ ์ ‘๊ทผ๋ฒ•์„ ์†Œ๊ฐœํ•œ๋‹ค.

๋น ์ง€๊ธฐ ์‰ฌ์šด ํ•จ์ •

AI ๊ฐœ๋ฐœ๊ณผ ๊ด€๋ จํ•ด์„œ๋Š” ์ด๋ฅธ๋ฐ” โ€˜์ˆœ์œ„ํ‘œ์˜ ํ™˜์ƒโ€™์— ํœ˜๋ง๋ฆฌ๊ธฐ ์‰ฝ๋‹ค. ์ˆ˜ํ•™ ๋ฒค์น˜๋งˆํฌ์—์„œ 1% ๋” ๋†’์€ ์ ์ˆ˜๋ฅผ ๋ฐ›์€ ๋ชจ๋ธ์„ ๋ณด๊ณ , ๊ทธ๊ฒƒ์ด ์œ ์ผํ•œ ์„ ํƒ์ง€๋ผ๊ณ  ๋‹จ์ •ํ•˜๋Š” ์‹์ด๋‹ค. ํ”„๋กœ๊ทธ๋ž˜๋จธ์ด์ž ์ž‘๊ฐ€์ธ ์‚ฌ์ด๋จผ ์œŒ๋ฆฌ์Šจ์€ ์ด๋ฅผ โ€˜๋А๋‚Œ ๊ธฐ๋ฐ˜ ํ‰๊ฐ€(vibes-based evaluation)โ€™๋ผ๊ณ  ํ‘œํ˜„ํ–ˆ๋‹ค. ๊ฐ€๋ฒผ์šด ๋Œ€ํ™”์—์„œ ์–ด๋–ค ์ฑ—๋ด‡์ด ๋” โ€˜๋˜‘๋˜‘ํ•ด ๋ณด์ด๋Š”์ง€โ€™๋ฅผ ํŒ๋‹จํ•˜๋Š” ๋ฐ๋Š” ์–ด๋А ์ •๋„ ์ฐธ๊ณ ๊ฐ€ ๋  ์ˆ˜ ์žˆ์ง€๋งŒ, ์‹ค์ œ ์šด์˜ ํ™˜๊ฒฝ์˜ ์›Œํฌ๋กœ๋“œ๋ฅผ ํ‰๊ฐ€ํ•˜๋Š” ๊ธฐ์ค€์œผ๋กœ๋Š” ์ ์ ˆํ•˜์ง€ ์•Š๋‹ค. ์ด์ œ๋Š” 1990๋…„๋Œ€ ์†Œํ”„ํŠธ์›จ์–ด ๊ฒฝ์Ÿ์ฒ˜๋Ÿผ ํ•˜๋‚˜์˜ ํ”Œ๋žซํผ์ด ๋ชจ๋“  ๊ฒƒ์„ ์ฐจ์ง€ํ•œ๋‹ค๋Š” ๊ด€์ ์—์„œ AI๋ฅผ ๋ฐ”๋ผ๋ณด๋Š” ํƒœ๋„์—์„œ ๋ฒ—์–ด๋‚  ํ•„์š”๊ฐ€ ์žˆ๋‹ค.

๋ชจ๋ธ ๊ฐ€์ค‘์น˜๋Š” ์ ์  ์ฐจ๋ณ„์„ฑ์ด ์‚ฌ๋ผ์ง€๋Š” ๋ฐฉํ–ฅ์œผ๋กœ ๊ฐ€๊ณ  ์žˆ๋‹ค. ๋ชจ๋‘์—๊ฒŒ ํ•„์š”ํ•˜์ง€๋งŒ ๋ˆ„๊ตฌ๋„ ์ง์ ‘ ๊ด€๋ฆฌํ•˜๊ณ  ์‹ถ์–ด ํ•˜์ง€ ์•Š๋Š”, ์ผ์ข…์˜ ๊ธฐ๋ฐ˜ ์ธํ”„๋ผ์— ๊ฐ€๊นŒ์›Œ์ง€๊ณ  ์žˆ๋‹ค๋Š” ์˜๋ฏธ๋‹ค. ์•คํŠธ๋กœํ”ฝ์ด๋‚˜ ์˜คํ”ˆAI๋ฅผ ์‚ฌ์šฉํ•˜๋“ , ๋ผ๋งˆ(Llama)์™€ ๊ฐ™์€ ์˜คํ”ˆ์†Œ์Šค ๋ชจ๋ธ์„ ์„ ํƒํ•˜๋“ , ๊ธฐ์—… ์—…๋ฌด์˜ ์•ฝ 90%๋ฅผ ์ฒ˜๋ฆฌํ•˜๊ธฐ์— ์ถฉ๋ถ„ํ•œ ์ˆ˜์ค€์˜ ์ง€๋Šฅ์„ ํ™•๋ณดํ•  ์ˆ˜ ์žˆ๋‹ค. ์ฒซ ๋ฒˆ์งธ AI๋ฅผ ๊ฐœ๋ฐœํ•˜๋Š” ๋ฐ ์ฒด๊ฐ๋˜๋Š” ์ฐจ์ด๋Š” ํฌ์ง€ ์•Š๋‹ค. ๊ฒฐ๊ตญ โ€˜๊ฐ€์žฅ ์ข‹์€โ€™ ๋ชจ๋ธ์ด๋ž€ ์„ฑ๋Šฅ ์ˆœ์œ„ํ‘œ์—์„œ ์•ž์„  ๋ชจ๋ธ์ด ์•„๋‹ˆ๋ผ, ๋ณด์•ˆ๊ณผ ์•ˆ์ •์„ฑ์„ ๊ฐ–์ถ”๊ณ  ์‹ค์ œ๋กœ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๋ชจ๋ธ์ธ ๊ฒฝ์šฐ๊ฐ€ ๋งŽ๋‹ค.

AI ๋ถ„์•ผ์˜ ์—ฌ๋Ÿฌ ์‚ฌ์ดํด์„ ๋ˆ„๊ตฌ๋ณด๋‹ค ๋งŽ์ด ๊ฒฝํ—˜ํ•œ ์Šคํƒ ํผ๋“œ๋Œ€ ๊ต์ˆ˜ ์•ค๋“œ๋ฃจ ์‘์€ ์ตœ๊ทผ ๋น„๊ต์  ๋‹จ์ˆœํ•˜์ง€๋งŒ ํ•ต์‹ฌ์„ ์ฐŒ๋ฅด๋Š” ์กฐ์–ธ์„ ๋‚ด๋†“์•˜๋‹ค. ๊ทธ๋Š” โ€œ๊ฐ€์น˜ ์žˆ๋Š” ๋ฌด์–ธ๊ฐ€๋ฅผ ๋งŒ๋“œ๋Š” ๋ฐ ํ›จ์”ฌ ๋” ์ง‘์ค‘ํ•ด์•ผ ํ•œ๋‹คโ€๋ผ๊ณ  ๋งํ–ˆ๋‹ค. ๋‹น์—ฐํ•˜๊ฒŒ ๋“ค๋ฆฌ์ง€๋งŒ, ์‹ค์ œ ํ˜„์žฅ์—์„œ๋Š” ์ž์ฃผ ๊ฐ„๊ณผ๋˜๋Š” ์กฐ์–ธ์ด๋‹ค. ์‘์€ ์ง„์ •ํ•œ ๊ฐ€์น˜๊ฐ€ ๋ชจ๋ธ ๊ณ„์ธต์ด ์•„๋‹ˆ๋ผ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜ ๊ณ„์ธต์— ์žˆ๋‹ค๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค. ์†ก์žฅ์„ ์ž๋™์œผ๋กœ ๋Œ€์กฐํ•˜๊ฑฐ๋‚˜ ๋ฒ•๋ฅ  ๋ฌธ์„œ๋ฅผ ์š”์•ฝํ•˜๋Š” ๋“ฑ ์‹ค์ œ ๋น„์ฆˆ๋‹ˆ์Šค ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๋Š” ๋„๊ตฌ๋ฅผ ๋งŒ๋“ ๋‹ค๋ฉด, ๊ทธ ํŒŒ์šด๋ฐ์ด์…˜ ๋ชจ๋ธ์ด ์ˆœ์œ„ํ‘œ์—์„œ 1์œ„์ธ์ง€ 3์œ„์ธ์ง€๋Š” ๊ฒฐ๊ตญ ํฐ ์˜๋ฏธ๋ฅผ ๊ฐ–์ง€ ์•Š๋Š”๋‹ค.

AI์˜ ์ž‘๋™ ์›๋ฆฌ๋Š” ์ „ํ†ต์ ์ธ ์†Œํ”„ํŠธ์›จ์–ด์™€ ๊ทผ๋ณธ์ ์œผ๋กœ ๋‹ค๋ฅด๋‹ค. ์˜คํ”ˆ์†Œ์Šค ์„ธ๊ณ„์—์„œ๋Š” ์ฝ”๋“œ ์ž์ฒด๊ฐ€ ํ•ต์‹ฌ ์ž์‚ฐ์ผ ์ˆ˜ ์žˆ์ง€๋งŒ, AI ํ™˜๊ฒฝ์—์„œ ๋ชจ๋ธ์€ ์ผ์‹œ์ ์ธ ์ƒํ’ˆ์— ๊ฐ€๊น๋‹ค. ์ง„์ •ํ•œ ์ž์‚ฐ์€ ๋ฐ์ดํ„ฐ์ด๋ฉฐ, ๊ทธ ๋ฐ์ดํ„ฐ๋ฅผ ์–ด๋–ป๊ฒŒ ๋ชจ๋ธ์— ๊ณต๊ธ‰ํ•˜๊ณ  ํ™œ์šฉํ•˜๋А๋ƒ์— ์žˆ๋‹ค.

๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์ฒ˜๋Ÿผ ์‚ฌ๊ณ ํ•˜๋ผ

๋ชจ๋ธ์„ ์„ ํƒํ•œ ํ›„์—๋Š” ๊ณง๋ฐ”๋กœ โ€˜์—์ด์ „ํŠธโ€™๋ฅผ ๋งŒ๋“ค์–ด์•ผ ํ•œ๋‹ค๋Š” ์œ ํ˜น์— ๋น ์ง€๊ธฐ ์‰ฝ๋‹ค. ์›น์„ ํƒ์ƒ‰ํ•˜๊ณ , ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋ฅผ ์กฐํšŒํ•˜๋ฉฐ, ์Šค์Šค๋กœ ํŒ๋‹จ๊นŒ์ง€ ๋‚ด๋ฆฌ๋Š” AI ์—์ด์ „ํŠธ๋ฅผ ์„ค๊ณ„ํ–ˆ๋‹ค๋Š” ๊ณต๋กœ๋ฅผ ์ธ์ •๋ฐ›๊ณ  ์‹ถ๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ํ•˜์ง€๋งŒ ์‹ ์ค‘ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ์•„์ง ์—์ด์ „ํŠธ๋ฅผ ๋งŒ๋“ค ์ค€๋น„๊ฐ€ ๋˜์ง€ ์•Š์•˜์„ ๊ฐ€๋Šฅ์„ฑ์ด ํฌ๋‹ค. ์ด๋Š” AI๊ฐ€ ์ถฉ๋ถ„ํžˆ ๋˜‘๋˜‘ํ•˜์ง€ ์•Š์•„์„œ๋„ ์•„๋‹ˆ๊ณ , AI ๊ฒฝํ—˜์ด ๋ถ€์กฑํ•ด์„œ๋„ ์•„๋‹ˆ๋‹ค.

๋ฌธ์ œ์˜ ํ•ต์‹ฌ์€ ๋ฐ์ดํ„ฐ๊ฐ€ ์ถฉ๋ถ„ํžˆ ์ •๋ฆฌ๋ผ ์žˆ์ง€ ์•Š๋‹ค๋Š” ๋ฐ ์žˆ๋‹ค.

์ตœ๊ทผ ๊ธฐ์‚ฌ์—์„œ ์–ธ๊ธ‰ํ–ˆ๋“ฏ, AI์˜ ๋ฉ”๋ชจ๋ฆฌ๋Š” ๋ณธ์งˆ์ ์œผ๋กœ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ๋ฌธ์ œ๋‹ค. ์—์ด์ „ํŠธ์—์„œ ๋ฉ”๋ชจ๋ฆฌ๋ฅผ ์ œ๊ฑฐํ•˜๋ฉด ๋น„์šฉ์ด ๋งค์šฐ ๋†’์€ ๋‚œ์ˆ˜ ์ƒ์„ฑ๊ธฐ์— ๋ถˆ๊ณผํ•ด์ง„๋‹ค. ์—์ด์ „ํŠธ๋Š” ์‚ฌ๋žŒ์˜ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๊ณ„์˜ ์†๋„๋กœ ์ฒ˜๋ฆฌํ•œ๋‹ค. ์ด ๋ฐ์ดํ„ฐ๊ฐ€ ๊ตฌ์กฐํ™”๋ผ ์žˆ์ง€ ์•Š๊ณ , ๊ฑฐ๋ฒ„๋„Œ์Šค๊ฐ€ ์ ์šฉ๋ผ ์žˆ์ง€ ์•Š๋‹ค๋ฉด ์—์ด์ „ํŠธ๋Š” ๋Œ€๊ทœ๋ชจ ํ™˜๊ฒฝ์—์„œ ํ™•์‹ ์— ์ฐฌ ์˜ค๋‹ต์„ ๋งŒ๋“ค์–ด๋‚ด๊ฒŒ ๋œ๋‹ค.

๋Œ€๋ถ€๋ถ„์˜ ๊ธฐ์—…์€ ์—ฌ์ „ํžˆ ๋ฐ์ดํ„ฐ๊ฐ€ ์–ด๋””์— ์กด์žฌํ•˜๋Š”์ง€ ํŒŒ์•…ํ•˜๋Š” ๋‹จ๊ณ„์— ๋จธ๋ฌผ๋Ÿฌ ์žˆ๋‹ค. ๋Œ€๊ทœ๋ชจ ์–ธ์–ด ๋ชจ๋ธ์— ๋ฐ์ดํ„ฐ๋ฅผ ์–ด๋–ป๊ฒŒ ๋…ธ์ถœํ• ์ง€๊นŒ์ง€ ๊ณ ๋ฏผํ•˜๋Š” ๊ฒฝ์šฐ๋Š” ๋” ๋“œ๋ฌผ๋‹ค. AI์˜ ๋ฉ”๋ชจ๋ฆฌ๋Š” ํ”ํžˆ ์ปจํ…์ŠคํŠธ ์œˆ๋„์šฐ๋ผ๋Š” ๊ฐœ๋…์œผ๋กœ ๋‹จ์ˆœํ™”ํ•ด ์„ค๋ช…๋˜์ง€๋งŒ, ์‹ค์ œ๋กœ๋Š” ๊ตฌ์กฐํ™”๋œ ์ €์žฅ๊ณผ ๊ด€๋ฆฌ๊ฐ€ ํ•„์š”ํ•œ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์— ๋” ๊ฐ€๊น๋‹ค. ์—ฌ๊ธฐ์—๋Š” ์Šคํ‚ค๋งˆ ์„ค๊ณ„, ์ ‘๊ทผ ์ œ์–ด, AI๊ฐ€ ํ—ˆ์œ„ ์‚ฌ์‹ค์„ ์ง€์–ด๋‚ด๊ฑฐ๋‚˜ ๋ฏผ๊ฐํ•œ ์ •๋ณด๋ฅผ ์ž˜๋ชป๋œ ์‚ฌ์šฉ์ž์—๊ฒŒ ๋…ธ์ถœํ•˜์ง€ ์•Š๋„๋ก ๋ง‰๋Š” ๋ฐฉํ™”๋ฒฝ ๋“ฑ ํŠธ๋žœ์žญ์…˜ ๋กœ๊ทธ์— ์ ์šฉํ•˜๋Š” ๊ฒƒ๊ณผ ๋™์ผํ•œ ์ˆ˜์ค€์˜ ์—„๊ฒฉํ•จ์ด ํ•„์š”ํ•˜๋‹ค.

์ฒซ ๋ฒˆ์งธ AI ์‹œ์Šคํ…œ์„ ์„ค๊ณ„ํ•˜๊ณ  ์žˆ๋‹ค๋ฉด, ์ถœ๋ฐœ์ ์€ ๋ฉ”๋ชจ๋ฆฌ ๊ณ„์ธต์ด์–ด์•ผ ํ•œ๋‹ค. AI๊ฐ€ ๋ฌด์—‡์„ ์•Œ๊ณ  ์žˆ์–ด๋„ ๋˜๋Š”์ง€, ๊ทธ ์ง€์‹์€ ์–ด๋””์— ์ €์žฅ๋˜๋ฉฐ, ์–ด๋–ค ๋ฐฉ์‹์œผ๋กœ ์—…๋ฐ์ดํŠธ๋˜๋Š”์ง€๋ฅผ ๋จผ์ € ๊ฒฐ์ •ํ•ด์•ผ ํ•œ๋‹ค. ๊ทธ ๋‹ค์Œ์—์•ผ ํ”„๋กฌํ”„ํŠธ๋ฅผ ๊ณ ๋ฏผํ•  ์ฐจ๋ก€๊ฐ€ ๋’ค๋”ฐ๋ฅธ๋‹ค. ์ด๋•Œ ๊ฐ€์žฅ ๋จผ์ € ๊ณ ๋ คํ•ด์•ผ ํ•  ์š”์†Œ๋Š” ๋”ฐ๋กœ ์žˆ๋‹ค. ๋ฐ”๋กœ ์ถ”๋ก ์ด๋‹ค.

์ถ”๋ก ๋ถ€ํ„ฐ ์‹œ์ž‘ํ•˜๋ผ

๊ณผ๊ฑฐ์—๋Š” ๋ชจ๋ธ ํ•™์Šต์— ๋“ค์–ด๊ฐ€๋Š” ๋ง‰๋Œ€ํ•œ ๋น„์šฉ์— ๊ด€์‹ฌ์ด ์ ๋ ธ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์—”ํ„ฐํ”„๋ผ์ด์ฆˆ ํ™˜๊ฒฝ์—์„œ๋Š” ์ด ๋ถ€๋ถ„์ด ํฌ๊ฒŒ ์ค‘์š”ํ•˜์ง€ ์•Š๋‹ค. ํ˜„์žฌ AI์˜ ํ•ต์‹ฌ์€ ์ถ”๋ก , ์ฆ‰ ์ด๋ฏธ ํ•™์Šต๋œ ์ง€์‹์„ ์‹ค์ œ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์— ์ ์šฉํ•˜๋Š” ๋‹จ๊ณ„์— ์žˆ๋‹ค. ๋‹ค์‹œ ๋งํ•ด, ๊ฑฐ๋ฒ„๋„Œ์Šค๊ฐ€ ์ ์šฉ๋œ ๊ธฐ์—… ๋ฐ์ดํ„ฐ๋ฅผ ๋ชจ๋ธ๊ณผ ๊ฒฐํ•ฉํ•  ๋•Œ AI๋Š” ๋น„๋กœ์†Œ ์‹ค์งˆ์ ์ธ ๊ฐ€์น˜๋ฅผ ๋งŒ๋“ค์–ด๋‚ธ๋‹ค. ๊ธฐ์—…์—์„œ AI ํ™œ์šฉ ์—ญ๋Ÿ‰์„ ํ‚ค์šฐ๋Š” ๊ฐ€์žฅ ์ข‹์€ ์ถœ๋ฐœ์ ์€ ๊ฑฐ์ฐฝํ•œ ์—์ด์ „ํŠธ ์‹œ์Šคํ…œ์ด ์•„๋‹ˆ๋ผ ๊ฐ„๋‹จํ•œ ๊ฒ€์ƒ‰ ์ฆ๊ฐ• ์ƒ์„ฑ(RAG) ํŒŒ์ดํ”„๋ผ์ธ์ด๋‹ค.

์‹ค๋ฌด์—์„œ ์ด๋Š” ๋ฌด์—‡์„ ์˜๋ฏธํ• ๊นŒ? ์ธ์‚ฌ ์ •์ฑ…, ๊ธฐ์ˆ  ๋ฌธ์„œ, ๊ณ ๊ฐ ์ง€์› ๋กœ๊ทธ์ฒ˜๋Ÿผ ์ง€๋ฃจํ•˜๊ณ  ์ •๋ฆฌ๊ฐ€ ๋œ ๋œ ๋ฌธ์„œ ๋ฌถ์Œ์„ ํ•˜๋‚˜ ์ •ํ•œ ๋’ค, ๊ทธ ๋ฐ์ดํ„ฐ๋งŒ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์‚ฌ์šฉ์ž๊ฐ€ ์งˆ๋ฌธํ•˜๋ฉด ๋‹ต์„ ์–ป์„ ์ˆ˜ ์žˆ๋Š” ์‹œ์Šคํ…œ์„ ๋งŒ๋“ค์–ด๋ณด๋Š” ๊ฒƒ์ด๋‹ค. ์ด ๊ณผ์ •์€ ๊ธฐ์—… ๊ฒฝ์Ÿ๋ ฅ์„ ๋†’์ด๋Š” ์ค‘์š”ํ•œ ๋ฌธ์ œ๋“ค์„ ํ•ด๊ฒฐํ•˜๋Š” ๋ฐ ์œ ์šฉํ•˜๋‹ค. ์˜ˆ๋ฅผ ๋“ค๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค.

  • ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ ๋ฐ ์ •๋ฆฌ: PDF ๋ฌธ์„œ๋ฅผ ์–ด๋–ค ๊ธฐ์ค€์œผ๋กœ ๋‚˜๋ˆ„๊ณ  ์ •๋ฆฌํ•ด์•ผ ๋ชจ๋ธ์ด ๋‚ด์šฉ์„ ์ œ๋Œ€๋กœ ์ดํ•ดํ•  ์ˆ˜ ์žˆ์„์ง€ ๊ณ ๋ฏผํ•œ๋‹ค.
  • ๊ฑฐ๋ฒ„๋„Œ์Šค: ์‚ฌ์šฉ์ž๊ฐ€ ๊ถŒํ•œ์ด ์—†๋Š” ์งˆ๋ฌธ์„ ํ–ˆ์„ ๋•Œ, ๋ชจ๋ธ์ด ๋‹ต๋ณ€ํ•˜์ง€ ์•Š๋„๋ก ์–ด๋–ป๊ฒŒ ํ†ต์ œํ•  ๊ฒƒ์ธ์ง€ ์„ค๊ณ„ํ•œ๋‹ค.
  • ์ง€์—ฐ ์‹œ๊ฐ„: ์‘๋‹ต์ด ๋А๋ฆฌ๋‹ค๋ฉด ์•„๋ฌด๋ฆฌ ์ •ํ™•ํ•ด๋„ ์‹ค์ œ ํ˜„์žฅ์—์„œ ํ™œ์šฉ๋˜๊ธฐ ์–ด๋ ต๋‹ค.

์ด๋Ÿฐ ์ž‘์—…์€ ์ง€๋ฃจํ•˜๊ฒŒ ๋А๊ปด์งˆ ์ˆ˜ ์žˆ๋‹ค. ํ•˜์ง€๋งŒ AI ์—ฐ๊ตฌ์ž ์•ˆ๋“œ๋ ˆ ์นดํŒŒ์‹œ๋Š” ๋Œ€๊ทœ๋ชจ ์–ธ์–ด ๋ชจ๋ธ์„ ์ƒˆ๋กœ์šด ์šด์˜์ฒด์ œ์˜ ์ปค๋„์— ๋น„์œ ํ•œ ๋ฐ” ์žˆ๋‹ค. ์‚ฌ์šฉ์ž๋Š” ์ปค๋„๊ณผ ์ง์ ‘ ์ƒํ˜ธ์ž‘์šฉํ•˜์ง€ ์•Š์œผ๋ฉฐ, ๊ทธ ์œ„์—์„œ ๋™์ž‘ํ•˜๋Š” ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ์‚ฌ์šฉํ•œ๋‹ค. ๊ฒฐ๊ตญ ๊ฐœ๋ฐœ์ž์˜ ์—ญํ• ์€ ์‚ฌ์šฉ์ž ์ธํ„ฐํŽ˜์ด์Šค, ์—…๋ฌด ๋กœ์ง, ๋ฐ์ดํ„ฐ ์—ฐ๊ฒฐ ๊ตฌ์กฐ๋ฅผ ํฌํ•จํ•œ โ€˜์‚ฌ์šฉ์ž ์˜์—ญโ€™์„ ๊ตฌ์ถ•ํ•˜๋Š” ๋ฐ ์žˆ๋‹ค.

ํ‘œ์ค€ํ™”๋œ ๊ฐœ๋ฐœ ๊ฒฝ๋กœ๋ฅผ ๊ตฌ์ถ•ํ•˜๋ผ

ํ”Œ๋žซํผ ์—”์ง€๋‹ˆ์–ด๋ง ์—ญํ• ์„ ๋งก๊ณ  ์žˆ๋‹ค๋ฉด, ๋ชจ๋“  ๊ฒƒ์„ ํ†ต์ œํ•˜๊ณ  ์‹ถ๋‹ค๋Š” ์ƒ๊ฐ์ด ๋จผ์ € ๋“ค ์ˆ˜ ์žˆ๋‹ค. ํ•˜๋‚˜์˜ ๋ชจ๋ธ๊ณผ ํ•˜๋‚˜์˜ API๋ฅผ ์ •ํ•ด๋‘๊ณ , ๋ชจ๋“  ๊ฐœ๋ฐœ์ž๊ฐ€ ์ด๋ฅผ ๋”ฐ๋ฅด๋„๋ก ๊ฐ•์ œํ•˜๊ณ  ์‹ถ์–ด์ง€๋Š” ๊ฒƒ์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋Ÿฐ ์ ‘๊ทผ์€ ๋ฐ”๋žŒ์งํ•˜์ง€ ์•Š๋‹ค. ํ”Œ๋žซํผํŒ€์ด ์ด๋ฅธ๋ฐ” โ€˜์•ˆ ๋œ๋‹ค๊ณ ๋งŒ ๋งํ•˜๋Š” ์กฐ์งโ€™์ด ๋˜์–ด์„œ๋Š” ์•ˆ ๋œ๋‹ค. ํ†ต์ œ ์žฅ์น˜๋ฅผ ์ง€๋‚˜์น˜๊ฒŒ ๊ฐ•ํ™”ํ•˜๋ฉด, ๊ฐœ๋ฐœ์ž๋“ค์€ ๊ฐœ์ธ ์‹ ์šฉ์นด๋“œ๋ฅผ ์“ฐ๊ฑฐ๋‚˜ ๊ด€๋ฆฌ๋˜์ง€ ์•Š๋Š” ์™ธ๋ถ€ API๋ฅผ ํ™œ์šฉํ•˜๋Š” ๋ฐฉ์‹์œผ๋กœ ์šฐํšŒํ•˜๊ฒŒ ๋œ๋‹ค.

๋Œ€์‹  โ€˜ํ‘œ์ค€ํ™”๋œ ๊ฒฝ๋กœโ€™๋ฅผ ๊ตฌ์ถ•ํ•ด์•ผ ํ•œ๋‹ค. AI ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ์˜ฌ๋ฐ”๋ฅด๊ฒŒ ๊ตฌ์ถ•ํ•˜๋Š” ๋ฐฉ์‹์ด ๊ณง ๊ฐ€์žฅ ์‰ฌ์šด ์„ ํƒ์ด ๋˜๋„๋ก, ์กฐํ•ฉ ๊ฐ€๋Šฅํ•œ ์„œ๋น„์Šค์™€ ๊ฐ€๋“œ๋ ˆ์ผ์„ ์ œ๊ณตํ•˜๋Š” ์ „๋žต์ด๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด vLLM ๋“ฑ ์—ฌ๋Ÿฌ ์ œ๊ณต์ž๊ฐ€ ์ง€์›ํ•˜๋Š” โ€˜์˜คํ”ˆAI ํ˜ธํ™˜ APIโ€™์™€ ๊ฐ™์€ ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ํ‘œ์ค€์œผ๋กœ ์‚ผ์œผ๋ฉด, ์ดํ›„ ์„ฑ๋Šฅ ์ˆœ์œ„๊ฐ€ ๋ฐ”๋€Œ๋”๋ผ๋„ ๋ฐฑ์—”๋“œ ๋ชจ๋ธ์„ ์œ ์—ฐํ•˜๊ฒŒ ๊ต์ฒดํ•  ์ˆ˜ ์žˆ๋‹ค. ๋‹น์žฅ์€ ๋น ๋ฅด๊ณ , ๊ทœ์ •์„ ์ค€์ˆ˜ํ•˜๋ฉฐ, ์•ˆ์ •์ ์œผ๋กœ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๋ชจ๋ธ ํ•˜๋‚˜๋ฅผ ์„ ํƒํ•œ ๋’ค ๋‹ค์Œ ๋‹จ๊ณ„๋กœ ๋‚˜์•„๊ฐ€๋ฉด ๋œ๋‹ค.

๋ชฉํ‘œ๋Š” ๊ฐœ๋ฐœ์ž์˜ ์†๋„๋ฅผ ์–ต๋ˆ„๋ฅด๋Š” ๊ฒƒ์ด ์•„๋‹ˆ๋ผ ์˜ฌ๋ฐ”๋ฅธ ๋ฐฉํ–ฅ์œผ๋กœ ์ด๋„๋Š” ๊ฒƒ์ด๋‹ค. ๋ฐ์ดํ„ฐ ๊ฑฐ๋ฒ„๋„Œ์Šค๊ฐ€ ๊ธฐ๋ณธ์ ์œผ๋กœ ์ ์šฉ๋œ ์•ˆ์ „ํ•œ ์‹คํ—˜ ํ™˜๊ฒฝ์„ ์ œ๊ณตํ•ด, ํฐ ์œ„ํ—˜ ์—†์ด ๋‹ค์–‘ํ•œ ์‹œ๋„๋ฅผ ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•ด์•ผ ํ•œ๋‹ค.

๋˜ํ•œ ์ฒซ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ๋งŒ๋“ค ๋•Œ๋Š” ๋ฐ˜๋“œ์‹œ ์‚ฌ๋žŒ์ด ๊ฐœ์ž…ํ•˜๋Š” ๊ตฌ์กฐ๋ฅผ ์—ผ๋‘์— ๋‘ฌ์•ผ ํ•œ๋‹ค. ์ „์ฒด ๊ณผ์ •์„ ํ•œ ๋ฒˆ์— ์ž๋™ํ™”ํ•˜๋ ค๊ณ  ํ•˜๊ธฐ๋ณด๋‹ค๋Š”, ๋ณด๊ณ ์„œ ์ดˆ์•ˆ์ด๋‚˜ SQL ์ฟผ๋ฆฌ์˜ 1์ฐจ ๊ฒฐ๊ณผ๋ฅผ AI๊ฐ€ ์ƒ์„ฑํ•˜๊ณ , ์ด๋ฅผ ์‚ฌ๋žŒ์ด ๊ฒ€ํ† ํ•œ ๋’ค ์‹คํ–‰ํ•˜๋„๋ก ์„ค๊ณ„ํ•ด์•ผ ํ•œ๋‹ค. ์ด๋Š” ์ž˜๋ชป๋œ ๋‹ต๋ณ€์ด ๊ทธ๋Œ€๋กœ ์‚ฌ์šฉ๋  ์œ„ํ—˜์„ ์ค„์ด๊ณ , ์‚ฌ๋žŒ์˜ ํŒ๋‹จ์„ ๋ณด์กฐํ•˜๋Š” ๋„๊ตฌ๋กœ AI๋ฅผ ํ™œ์šฉํ•˜๋„๋ก ๋งŒ๋“ ๋‹ค.

๊ทธ๋ ‡๋‹ค๋ฉด ์„ฑ๋Šฅ ์ˆœ์œ„๋ฅผ ์ฐธ์กฐํ•˜์ง€ ์•Š๊ณ ๋„ ์–ด๋–ป๊ฒŒ ๋ชจ๋ธ์ด ์ถฉ๋ถ„ํžˆ ๊ดœ์ฐฎ์€์ง€ ํŒ๋‹จํ•  ์ˆ˜ ์žˆ์„๊นŒ? ์ถ”์ธกํ•  ํ•„์š”๋Š” ์—†๋‹ค. ์ง์ ‘ ํ…Œ์ŠคํŠธํ•˜๋ฉด ๋œ๋‹ค.

์˜คํ”ˆAI์™€ ์•คํŠธ๋กœํ”ฝ์€ ๋ชจ๋‘ โ€˜ํ‰๊ฐ€ ๊ธฐ๋ฐ˜ ๊ฐœ๋ฐœโ€™์„ ๊ฐ•์กฐํ•˜์ง€๋งŒ, ์ฒ˜์Œ๋ถ€ํ„ฐ ๋ณต์žกํ•œ ์ฒด๊ณ„๋ฅผ ๋„์ž…ํ•  ํ•„์š”๋Š” ์—†๋‹ค. ๋ชจ๋ธ์ด ์ˆ˜ํ–‰ํ•˜๊ธธ ์›ํ•˜๋Š” ์‹ค์ œ ์‚ฌ๋ก€ 50~100๊ฐœ, ์ฆ‰ ์ •๋‹ต์ด ๋ช…ํ™•ํ•œ ์งˆ๋ฌธ๊ณผ ๋‹ต๋ณ€ ์„ธํŠธ๋งŒ ์ค€๋น„ํ•˜๋ฉด ๋œ๋‹ค. ์ƒˆ๋กœ์šด ๋ชจ๋ธ์ด ๋“ฑ์žฅํ•ด ์„ฑ๋Šฅ ํ–ฅ์ƒ์„ ๋‚ด์„ธ์šธ ๋•Œ๋งˆ๋‹ค, ์ด ์‚ฌ๋ก€๋“ค์„ ์‹คํ–‰ํ•ด ๋ณด๋ฉด ๋œ๋‹ค. ํ˜„์žฌ ์‚ฌ์šฉ ์ค‘์ธ ๋ชจ๋ธ๋ณด๋‹ค ๋” ๋น ๋ฅด๊ฑฐ๋‚˜ ๋” ์ €๋ ดํ•˜๊ฒŒ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•œ๋‹ค๋ฉด ๊ต์ฒดํ•˜๋ฉด ๋˜๊ณ , ๊ทธ๋ ‡์ง€ ์•Š๋‹ค๋ฉด ๊ตณ์ด ์‹ ๊ฒฝ ์“ธ ํ•„์š” ์—†๋‹ค. ๊ฒฐ๊ตญ ์ค‘์š”ํ•œ ๊ธฐ์ค€์€ ์™ธ๋ถ€ ๋ฆฌ๋”๋ณด๋“œ๊ฐ€ ์•„๋‹ˆ๋ผ, ๊ฐ ์กฐ์ง์ด ์ง์ ‘ ๋งŒ๋“  ์ž์ฒด ๊ธฐ์ค€์ด๋‹ค.

์ง€๋ฃจํ•จ์„ ์„ ํƒํ•˜๋ผ

์š”์•ฝํ•˜์ž๋ฉด, ๋ฐ์ดํ„ฐ์— ์ง‘์ค‘ํ•ด์•ผ ํ•œ๋‹ค. ๊ฑฐ๋ฒ„๋„Œ์Šค์— ์ง‘์ค‘ํ•ด์•ผ ํ•œ๋‹ค. ์ˆ˜๋งŽ์€ ๋ฌธ์„œ๋‚˜ ๋ฐ˜๋ณต์ ์ธ ์—…๋ฌด์— ํŒŒ๋ฌปํ˜€ ์žˆ๋Š” ํšŒ์‚ฌ ๋‚ด ํŠน์ • ์‚ฌ์šฉ์ž๋ฅผ ์œ„ํ•ด, ์ง€๋ฃจํ•ด ๋ณด์ด์ง€๋งŒ ์‹ค์ œ๋กœ ํ•„์š”ํ•œ ๋ฌธ์ œ ํ•˜๋‚˜๋ฅผ ํ•ด๊ฒฐํ•˜๋Š” ๋ฐ ์ง‘์ค‘ํ•ด์•ผ ํ•œ๋‹ค. ์„ฑ๋Šฅ ์ˆœ์œ„ํ‘œ๋Š” ๊ตณ์ด ์‹ ๊ฒฝ ์“ฐ์ง€ ์•Š์•„๋„ ๋œ๋‹ค. ์ด๋Š” ์—ฐ๊ตฌ์ž์—๊ฒŒ ์˜๋ฏธ๊ฐ€ ์žˆ๋Š” ์ง€ํ‘œ์ผ ๋ฟ์ด๋‹ค.

AI ์‹œ๋Œ€์˜ ์Šน์ž๋Š” ๊ฑฐ๋ฒ„๋„Œ์Šค๊ฐ€ ์ ์šฉ๋œ ๋ฐ์ดํ„ฐ ์œ„์—์„œ ์ง€๋Šฅ์„ ์ €๋ ดํ•˜๊ณ , ์‰ฝ๊ฒŒ, ์•ˆ์ „ํ•˜๊ฒŒ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ๋„๋ก ๋งŒ๋“œ๋Š” ๊ณณ์ด ๋  ๊ฒƒ์ด๋‹ค. SNS์—์„œ ํ™”์ œ๊ฐ€ ๋˜๋Š” ๊ฒฐ๊ณผ๋ฅผ ๋งŒ๋“ค์ง€๋Š” ๋ชปํ• ์ง€ ๋ชจ๋ฅด์ง€๋งŒ, ์—”ํ„ฐํ”„๋ผ์ด์ฆˆ ํ™˜๊ฒฝ์—์„œ ์‹ค์ œ๋กœ ์‚ด์•„๋‚จ๋Š” ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ๋งŒ๋“œ๋Š” ๋ฐ๋Š” ๋ถ„๋ช… ๋„์›€์ด ๋œ๋‹ค.
dl-ciokorea@foundryco.com

ๆ™‚็ณปๅˆ—ไบˆๆธฌใ‚’ใ€Œๅฝ“ใฆใ‚‹ใ€ใ‚ˆใ‚Šใ€Œไฝฟใˆใ‚‹ใ€ๅฝขใซใ™ใ‚‹โ€•โ€•ใƒˆใƒฌใƒณใƒ‰ใƒปๅญฃ็ฏ€ๆ€งใƒปๅค–้ƒจ่ฆๅ› ใฎๆ‰ฑใ„ๆ–น

16 December 2025 at 02:16

ๆ™‚็ณปๅˆ—ใƒ‡ใƒผใ‚ฟใฎใ‚ฏใ‚ปใ‚’่ฆ‹ๆŠœใโ€•โ€•ใƒˆใƒฌใƒณใƒ‰ใ€ๅญฃ็ฏ€ๆ€งใ€ๆง‹้€ ๅค‰ๅŒ–

ๆ™‚็ณปๅˆ—ไบˆๆธฌใฎๅ‡บ็™บ็‚นใฏใ€ใ€Œใƒ‡ใƒผใ‚ฟใฏ็‹ฌ็ซ‹ใงใฏใชใ„ใ€ใจใ„ใ†ไบ‹ๅฎŸใงใ™ใ€‚ไปŠๆ—ฅใฎๅฃฒไธŠใฏๆ˜จๆ—ฅใฎๅฃฒไธŠใจ็„ก้–ขไฟ‚ใงใฏใชใใ€ไปŠ้€ฑใฎๅˆฉ็”จๆ•ฐใฏๅ…ˆ้€ฑใฎๅˆฉ็”จๆ•ฐใจใคใชใŒใฃใฆใ„ใพใ™ใ€‚ใ“ใ‚Œใ‚’็„ก่ฆ–ใ—ใฆใ€ใƒฉใƒณใƒ€ใƒ ใซใƒ‡ใƒผใ‚ฟใ‚’ใ‚ทใƒฃใƒƒใƒ•ใƒซใ—ใฆๅญฆ็ฟ’ใƒป่ฉ•ไพกใ—ใฆใ—ใพใ†ใจใ€ๆœชๆฅใฎๆƒ…ๅ ฑใŒๆททใ–ใ‚Š่พผใฟใ€่ฆ‹ใ‹ใ‘ใฎ็ฒพๅบฆใŒ้Žๅ‰ฐใซ่‰ฏใใชใ‚‹ใ“ใจใŒใ‚ใ‚Šใพใ™ใ€‚ๆ™‚็ณปๅˆ—ใงๆœ€ๅˆใซๅฎˆใ‚‹ในใใƒซใƒผใƒซใฏใ€้ŽๅŽปใงๅญฆใ‚“ใงๆœชๆฅใง่ฉ•ไพกใ™ใ‚‹ใ€ใจใ„ใ†ๅฝ“ใŸใ‚Šๅ‰ใ‚’็ตถๅฏพใซๅดฉใ•ใชใ„ใ“ใจใงใ™ใ€‚

ๆฌกใซ้‡่ฆใชใฎใŒใ€ๆ™‚็ณปๅˆ—ใซใฏใ€Œๅฝขใ€ใŒใ‚ใ‚‹ใจใ„ใ†ใ“ใจใงใ™ใ€‚ใ‚ˆใ็Ÿฅใ‚‰ใ‚Œใฆใ„ใ‚‹ใฎใฏใƒˆใƒฌใƒณใƒ‰ใจๅญฃ็ฏ€ๆ€งใงใ™ใ€‚ใƒˆใƒฌใƒณใƒ‰ใฏ้•ทๆœŸ็š„ใชๅข—ๆธ›ใงใ€่ฃฝๅ“ใฎๆˆ้•ทใ‚„ๅธ‚ๅ ดๆ‹กๅคงใฎใ‚ˆใ†ใช่ฆๅ› ใŒๅๆ˜ ใ•ใ‚Œใพใ™ใ€‚ๅญฃ็ฏ€ๆ€งใฏๅ‘จๆœŸ็š„ใชๆบใ‚Œใงใ€ๆ›œๆ—ฅใ€ๆœˆใ€ๅ››ๅŠๆœŸใ€ๅนดๆฌกใ€ใ•ใ‚‰ใซใฏๆ™‚้–“ๅธฏใฎๅ‘จๆœŸใŒ้–ขใ‚ใ‚Šใพใ™ใ€‚ใŸใจใˆใฐB2Bใฎใ‚ขใ‚ฏใƒ†ใ‚ฃใƒ–ใƒฆใƒผใ‚ถใƒผใฏๅนณๆ—ฅใซๅใ‚Šใ€้€ฑๆœซใซ่ฝใกใ‚‹ใ“ใจใŒๅคšใ„ใงใ™ใ€‚ECใฏใ‚ปใƒผใƒซใ‚„็ตฆๆ–™ๆ—ฅใ€ๅนดๆœซๅนดๅง‹ใฎๅฝฑ้Ÿฟใ‚’ๅผทใๅ—ใ‘ใพใ™ใ€‚ใ‚ขใƒ—ใƒชใฎๅˆฉ็”จใฏ้€šๅ‹คๆ™‚้–“ๅธฏใซใƒ”ใƒผใ‚ฏใŒๆฅใŸใ‚Šใ—ใพใ™ใ€‚ใ“ใ†ใ—ใŸๅ‘จๆœŸใฏใ€ใƒขใƒ‡ใƒซใŒๅ‹ๆ‰‹ใซๅญฆใ‚“ใงใใ‚Œใ‚‹ใจๆ€ใ„ใŒใกใงใ™ใŒใ€ๅ‘จๆœŸใฎ้•ทใ•ใ‚„ๅฝขใฏๆŒ‡ๆจ™ใซใ‚ˆใฃใฆ้•ใ†ใฎใงใ€ๆœ€ๅˆใซๅฏ่ฆ–ๅŒ–ใ—ใฆโ€œใฉใ†ๆบใ‚Œใฆใ„ใ‚‹ใ‹โ€ใ‚’ๆŽดใ‚€ใ“ใจใŒ็ฒพๅบฆใ‚ˆใ‚Šๅ…ˆใซ้‡่ฆใงใ™ใ€‚

ๆ™‚็ณปๅˆ—ใงๅŽ„ไป‹ใชใฎใฏใ€ใƒˆใƒฌใƒณใƒ‰ใ‚„ๅญฃ็ฏ€ๆ€งใ ใ‘ใง่ชฌๆ˜Žใงใใชใ„โ€œๆง‹้€ ๅค‰ๅŒ–โ€ใงใ™ใ€‚ใŸใจใˆใฐๆ–™้‡‘ๆ”นๅฎšใ€UIๅˆทๆ–ฐใ€ๅคงๅž‹ใ‚ญใƒฃใƒณใƒšใƒผใƒณใ€ใ‚ขใƒซใ‚ดใƒชใ‚บใƒ ๅค‰ๆ›ดใ€็ซถๅˆใฎๅ‚ๅ…ฅใ€ๆณ•่ฆๅˆถใ€็ฝๅฎณใ‚„็คพไผš็š„ใ‚คใƒ™ใƒณใƒˆใชใฉใŒใ‚ใ‚‹ใจใ€ๆŒ‡ๆจ™ใฎๆฐดๆบ–ใŒๆฎตๅทฎใฎใ‚ˆใ†ใซๅค‰ใ‚ใ‚‹ใ“ใจใŒใ‚ใ‚Šใพใ™ใ€‚ๆง‹้€ ๅค‰ๅŒ–ใŒใ‚ใ‚‹ใจใ€้ŽๅŽปใฎ้–ขไฟ‚ๆ€งใŒใใฎใพใพๆœชๆฅใซ็ถšใใจใ„ใ†ๅ‰ๆใŒๅดฉใ‚Œใ€ใฉใ‚“ใชใƒขใƒ‡ใƒซใงใ‚‚ๅค–ใ—ใ‚„ใ™ใใชใ‚Šใพใ™ใ€‚็พๅ ดใงใ€Œๆ€ฅใซๅฝ“ใŸใ‚‰ใชใใชใฃใŸใ€ใจใ„ใ†ใจใใ€ใƒขใƒ‡ใƒซใฎใ›ใ„ใซใ™ใ‚‹ๅ‰ใซใ€ๆŒ‡ๆจ™ๅฎš็พฉใฎๅค‰ๆ›ดใ€่จˆๆธฌใฎๆฌ ๆใ€ใƒ‡ใƒผใ‚ฟใฎ้…ๅปถใ€้‹็”จใƒซใƒผใƒซใฎๅค‰ๆ›ดใชใฉใ€ๆง‹้€ ๅค‰ๅŒ–ใฎๅ€™่ฃœใ‚’ๆด—ใ„ๅ‡บใ™ใฎใŒ่ฟ‘้“ใงใ™ใ€‚

ใ•ใ‚‰ใซใ€ๆฌ ๆใ‚„ๅค–ใ‚Œๅ€คใฎๆ‰ฑใ„ใ‚‚ๆ™‚็ณปๅˆ—ใงใฏ้‡่ฆใงใ™ใ€‚ๆฌ ๆใฏใ€Œใƒ‡ใƒผใ‚ฟใŒๅญ˜ๅœจใ—ใชใ„ใ€ใฎใงใฏใชใใ€Œๅ–ใ‚Œใฆใ„ใชใ„ใ€ใ“ใจใŒๅคšใใ€่จˆๆธฌ้šœๅฎณใ‚’ๅซใ‚“ใงใ„ใ‚‹ๅ ดๅˆใŒใ‚ใ‚Šใพใ™ใ€‚ๅค–ใ‚Œๅ€คใ‚‚ใ€ๅ˜ใชใ‚‹ใƒŽใ‚คใ‚บใงใฏใชใใ€ใ‚ญใƒฃใƒณใƒšใƒผใƒณใ‚„้šœๅฎณใชใฉๅŽŸๅ› ใฎใ‚ใ‚‹ใ‚คใƒ™ใƒณใƒˆใ‹ใ‚‚ใ—ใ‚Œใพใ›ใ‚“ใ€‚ใ“ใ“ใงๅฎ‰ๆ˜“ใซๅนณๅ‡ใงๅŸ‹ใ‚ใŸใ‚Šใ€ๆฉŸๆขฐ็š„ใซ้™คๅค–ใ—ใŸใ‚Šใ™ใ‚‹ใจใ€ไบˆๆธฌใฎ็›ฎ็š„ใจใ‚บใƒฌใ‚‹ใ“ใจใŒใ‚ใ‚Šใพใ™ใ€‚ใŸใจใˆใฐ้šœๅฎณๆคœ็Ÿฅใ‚„ใ‚ญใƒฃใƒ‘ใ‚ทใƒ†ใ‚ฃ่จˆ็”ปใŒ็›ฎ็š„ใชใ‚‰ใ€ๅค–ใ‚Œๅ€คใฏๅญฆใถในใ้‡่ฆใชๆƒ…ๅ ฑใงใ™ใ€‚ไธ€ๆ–นใง้€šๅธธๆ™‚ใฎ้œ€่ฆไบˆๆธฌใŒ็›ฎ็š„ใชใ‚‰ใ€็•ฐๅธธๅ€คใฏๅˆฅๆ‰ฑใ„ใ—ใฆ้€šๅธธใƒ‘ใ‚ฟใƒผใƒณใ‚’ๅญฆใฐใ›ใŸๆ–นใŒๅฎ‰ๅฎšใ—ใพใ™ใ€‚ใคใพใ‚Šๅ‰ๅ‡ฆ็†ใฏๆŠ€่ก“ใจใ„ใ†ใ‚ˆใ‚Šใ€็›ฎ็š„ใจๅˆ‡ใ‚Š้›ขใ›ใชใ„่จญ่จˆใงใ™ใ€‚

ๆ™‚็ณปๅˆ—ไบˆๆธฌใงๆœ€ๅˆใซใ‚„ใ‚‹ในใใ“ใจใฏใ€ใƒขใƒ‡ใƒซใ‚’ๅ›žใ™ใ“ใจใงใฏใชใใ€ใƒ‡ใƒผใ‚ฟใฎๅฝขใ‚’็†่งฃใ—ใฆใ€Œไฝ•ใ‚’ๅฝ“ใฆใŸใ„ใฎใ‹ใ€ใ€Œใฉใ‚“ใชๆบใ‚Œใ‚’ๅฝ“ใฆใŸใ„ใฎใ‹ใ€ใ€Œๅฝ“ใŸใ‚‰ใชใ„ใจใไฝ•ใŒ่ตทใใŸใ‚‰ๅ›ฐใ‚‹ใฎใ‹ใ€ใ‚’่จ€่‘‰ใซใ™ใ‚‹ใ“ใจใงใ™ใ€‚ใ“ใ“ใŒๆ›–ๆ˜งใ ใจใ€็ฒพๅบฆใŒ่‰ฏใ„ใฎใซๅฝนใซ็ซ‹ใŸใชใ„ไบˆๆธฌใŒ็”Ÿใพใ‚Œใพใ™ใ€‚

ๆ‰‹ๆณ•ใฎๅœฐๅ›ณใ‚’ไฝœใ‚‹โ€•โ€•ใƒ™ใƒผใ‚นใƒฉใ‚คใƒณใ‹ใ‚‰ๆฉŸๆขฐๅญฆ็ฟ’ใ€ๆทฑๅฑคๅญฆ็ฟ’ใพใง

ๆ™‚็ณปๅˆ—ไบˆๆธฌใฎๆ‰‹ๆณ•ใฏๅคšๅฒใซใ‚ใŸใ‚Šใพใ™ใŒใ€ๅฎŸๅ‹™ใงใฎ้ธใณๆ–นใฏใ€Œ่ค‡้›‘ใ•ใฎ็ซถไบ‰ใ€ใซใ—ใชใ„ๆ–นใŒใ†ใพใใ„ใใพใ™ใ€‚ใพใšใฏๅฟ…ใšใƒ™ใƒผใ‚นใƒฉใ‚คใƒณใ‚’ไฝœใ‚Šใพใ™ใ€‚ใŸใจใˆใฐใ€Œ็›ด่ฟ‘ๅ€คใ‚’ใใฎใพใพๆœชๆฅใซ็ฝฎใใ€ใ€Œๅ…ˆ้€ฑใฎๅŒใ˜ๆ›œๆ—ฅใฎๅ€คใ‚’ไฝฟใ†ใ€ใ€Œ็งปๅ‹•ๅนณๅ‡ใงๆป‘ใ‚‰ใ‹ใซใ™ใ‚‹ใ€ใจใ„ใฃใŸๅ˜็ด”ใชไบˆๆธฌใงใ™ใ€‚้ฉšใใปใฉๅคšใใฎๆŒ‡ๆจ™ใงใ€ใ“ใ‚Œใ‚‰ใฏโ€œใใ“ใใ“ๅฝ“ใŸใ‚‹โ€ใ†ใˆใซใ€ๅŽŸๅ› ใŒ่ชฌๆ˜Žใ—ใ‚„ใ™ใ„ใงใ™ใ€‚ใƒ™ใƒผใ‚นใƒฉใ‚คใƒณใซๅ‹ใฆใชใ„้ซ˜ๅบฆใชใƒขใƒ‡ใƒซใฏใ€้‹็”จใ‚ณใ‚นใƒˆใ‚’ใ‹ใ‘ใ‚‹ไพกๅ€คใŒ่–„ใ„ใจๅˆคๆ–ญใงใใพใ™ใ€‚

ๆฌกใซใ€ๆ™‚็ณปๅˆ—ๅฐ‚็”จใฎ็ตฑ่จˆใƒขใƒ‡ใƒซใŒใ‚ใ‚Šใพใ™ใ€‚ไปฃ่กจไพ‹ใจใ—ใฆARIMA็ณปใ‚„ๆŒ‡ๆ•ฐๅนณๆป‘ใŒใ‚ใ‚Šใพใ™ใ€‚ใ“ใ‚Œใ‚‰ใฏ้ŽๅŽปใฎๅ€คใฎ่‡ชๅทฑ็›ธ้–ขใ‚’ๆ‰ใˆใŸใ‚Šใ€ใƒˆใƒฌใƒณใƒ‰ใ‚„ๅญฃ็ฏ€ๆ€งใ‚’ๆฏ”่ผƒ็š„็ด ็›ดใซ็ต„ใฟ่พผใ‚ใŸใ‚Šใ—ใพใ™ใ€‚็‰นๅพดใฏใ€็Ÿญใ„็ณปๅˆ—ใงใ‚‚ๅ‹•ใใ‚„ใ™ใใ€ใƒ‘ใƒฉใƒกใƒผใ‚ฟใŒๆฏ”่ผƒ็š„่งฃ้‡ˆใ—ใ‚„ใ™ใ„ใ“ใจใงใ™ใ€‚ใŸใ ใ—ใ€ๅคšๅค‰้‡ใฎๅค–้ƒจ่ฆๅ› ใ‚’ๅ…ฅใ‚Œใ‚‹ใฎใŒ้›ฃใ—ใ„ๅ ดๅˆใŒใ‚ใ‚Šใ€ๅค–้ƒจ่ฆๅ› ใŒๆ”ฏ้…็š„ใช้ ˜ๅŸŸใงใฏ้™็•ŒใŒใ‚ใ‚Šใพใ™ใ€‚

ใƒˆใƒฌใƒณใƒ‰ใจๅญฃ็ฏ€ๆ€งใ‚’่ถณใ—็ฎ—ใง่กจ็พใ™ใ‚‹ๅŠ ๆณ•ใƒขใƒ‡ใƒซใฎ่€ƒใˆๆ–นใ‚‚ๆœ‰็”จใงใ™ใ€‚ๆ›œๆ—ฅๅŠนๆžœใ€ๅนดๆฌกๅŠนๆžœใ€็ฅๆ—ฅใชใฉใ‚’ๆˆๅˆ†ใจใ—ใฆๆ‰ฑใ†ใ“ใจใงใ€่ชฌๆ˜Žๅฏ่ƒฝๆ€งใ‚’ไฟใฃใŸใพใพไบˆๆธฌใงใใพใ™ใ€‚็พๅ ดใงใ€ŒใชใœใใฎไบˆๆธฌใซใชใฃใŸใฎใ‹ใ€ใ‚’่ชฌๆ˜Žใ™ใ‚‹ๅฟ…่ฆใŒๅผทใ„ใจใใ€ใ“ใ†ใ—ใŸๆง‹้€ ๅŒ–ใ•ใ‚ŒใŸใƒขใƒ‡ใƒซใฏๅผทใ„ๅ‘ณๆ–นใซใชใ‚Šใพใ™ใ€‚ไธ€ๆ–นใงใ€ๆง‹้€ ๅค‰ๅŒ–ใ‚„็ช็™บใ‚คใƒ™ใƒณใƒˆใซใฏๅผฑใ„ใ“ใจใŒๅคšใใ€ใ‚คใƒ™ใƒณใƒˆๆƒ…ๅ ฑใ‚’ๅˆฅ้€”ๅ…ฅใ‚Œใ‚‹ๅทฅๅคซใŒๅฟ…่ฆใซใชใ‚Šใพใ™ใ€‚

ๅค–้ƒจ่ฆๅ› ใ‚’็ฉๆฅต็š„ใซไฝฟใ„ใŸใ„ใจใใฏใ€ๆ™‚็ณปๅˆ—ใ‚’็‰นๅพด้‡ๅŒ–ใ—ใฆๆฉŸๆขฐๅญฆ็ฟ’ใงๅ›žๅธฐๅ•้กŒใจใ—ใฆ่งฃใใ‚ขใƒ—ใƒญใƒผใƒใŒ็พๅฎŸ็š„ใงใ™ใ€‚ใŸใจใˆใฐใƒฉใ‚ฐ็‰นๅพด้‡ใจใ—ใฆใ€Œ1ๆ—ฅๅ‰ใ€7ๆ—ฅๅ‰ใ€28ๆ—ฅๅ‰ใฎๅ€คใ€ใ‚’ๅ…ฅใ‚ŒใŸใ‚Šใ€็งปๅ‹•ๅนณๅ‡ใจใฎๅทฎๅˆ†ใ€็ดฏ็ฉใ€ไผ‘ๆ—ฅใƒ•ใƒฉใ‚ฐใ€ๅบƒๅ‘Š่ฒปใ€ๆฐ—ๆธฉใ€ไพกๆ ผใ€ๅœจๅบซใชใฉใ‚’็‰นๅพด้‡ใซใ—ใพใ™ใ€‚ๅ‹พ้…ใƒ–ใƒผใ‚นใƒ†ใ‚ฃใƒณใ‚ฐใชใฉใฏ้ž็ทšๅฝขใช้–ขไฟ‚ใ‚’ๆ‰ใˆใ‚„ใ™ใใ€ๅค–้ƒจ่ฆๅ› ใŒๅŠนใ้ ˜ๅŸŸใงใฏๅผทใ„ใ“ใจใŒๅคšใ„ใงใ™ใ€‚ใŸใ ใ—ใ€็‰นๅพด้‡่จญ่จˆใ‚’่ชคใ‚‹ใจๆœชๆฅๆƒ…ๅ ฑใŒๆผใ‚Œใพใ™ใ€‚ไพ‹ใˆใฐใ€Œๅฝ“ๆ—ฅใฎๅฃฒไธŠใ€ใ‹ใ‚‰ไฝœใฃใŸ็‰นๅพด้‡ใ‚’ไบˆๆธฌใซไฝฟใฃใฆใ—ใพใ†ใชใฉใ€ๆ™‚้–“ใฎ็Ÿขๅฐใ‚’้€†ๆตใ•ใ›ใ‚‹ใƒŸใ‚นใŒ่ตทใใ‚„ใ™ใ„ใงใ™ใ€‚ๅฎŸๅ‹™ใงใฏใ€็‰นๅพด้‡ใ”ใจใซใ€Œใ„ใค็ขบๅฎšใ™ใ‚‹ๆƒ…ๅ ฑใ‹ใ€ใ‚’ๆฃšๅธใ—ใ—ใ€ไบˆๆธฌๆ™‚็‚นใงๅˆฉ็”จๅฏ่ƒฝใชใ‚‚ใฎใ ใ‘ใ‚’ไฝฟใ†ใƒซใƒผใƒซใŒๅฟ…่ฆใงใ™ใ€‚

ๆทฑๅฑคๅญฆ็ฟ’ใฎ็ณปๅˆ—ใƒขใƒ‡ใƒซใฏใ€้•ทใ„ไพๅญ˜ใ‚„่ค‡้›‘ใชใƒ‘ใ‚ฟใƒผใƒณใ‚’ๆ‰ใˆใ‚‰ใ‚Œใ‚‹ๅฏ่ƒฝๆ€งใŒใ‚ใ‚Šใพใ™ใŒใ€ใƒ‡ใƒผใ‚ฟ้‡ใ€ๅฎ‰ๅฎšๆ€งใ€่ชฌๆ˜Žๅฏ่ƒฝๆ€งใ€้‹็”จใ‚ณใ‚นใƒˆใฎ้ขใงใƒใƒผใƒ‰ใƒซใŒไธŠใŒใ‚Šใพใ™ใ€‚ๅคง้‡ใฎ็ณปๅˆ—ใŒใ‚ใ‚Šใ€ๅŒใ˜ๆง‹้€ ใŒๅคšใใฎๅฏพ่ฑกใซๅ…ฑๆœ‰ใ•ใ‚Œใ‚‹ใ‚ˆใ†ใชๅ•้กŒใงใฏๆœ‰ๅŠนใชใ“ใจใŒใ‚ใ‚Šใพใ™ใ€‚ไธ€ๆ–นใ€ๅ˜ไธ€ๆŒ‡ๆจ™ใ‚’ๅฐ‘้‡ใƒ‡ใƒผใ‚ฟใงๅฝ“ใฆใ‚‹ใ ใ‘ใชใ‚‰ใ€ๆทฑๅฑคๅญฆ็ฟ’ใŒๅฟ…ใšใ—ใ‚‚ๆœ€้ฉใจใฏ้™ใ‚Šใพใ›ใ‚“ใ€‚ๅฎŸๅ‹™ใงๅคงๅˆ‡ใชใฎใฏใ€ๆœ€ๅ…ˆ็ซฏใซ้ฃ›ใณใคใใ“ใจใงใฏใชใใ€็›ฎ็š„ใƒปใƒ‡ใƒผใ‚ฟ้‡ใƒป่ชฌๆ˜Ž่ฆไปถใƒป้‹็”จไฝ“ๅˆถใฎๅˆถ็ด„ใฎไธญใงใ€ๆœ€ใ‚‚ๅ …็‰ขใช้ธๆŠžใ‚’ใ™ใ‚‹ใ“ใจใงใ™ใ€‚

่ฉ•ไพกๆŒ‡ๆจ™ใ‚‚้ธใณๆ–นใŒ้‡่ฆใงใ™ใ€‚RMSEใฏๅคงใใช่ชคๅทฎใ‚’ๅผทใ็ฝฐใ—ใ€MAEใฏๅค–ใ‚Œๅ€คใฎๅฝฑ้Ÿฟใ‚’ๅ—ใ‘ใซใใ„ใงใ™ใ€‚ๅฃฒไธŠใฎใ‚ˆใ†ใซๅคงใใชใƒ–ใƒฌใŒใ‚ใ‚Šใ€ๅค–ใ‚Œๅ€คใŒ้‡่ฆใชๆ„ๅ‘ณใ‚’ๆŒใคๅ ดๅˆใฏRMSEใŒๅˆใ†ใ“ใจใ‚‚ใ‚ใ‚Šใพใ™ใ—ใ€ๆ—ฅๆฌกใ‚ขใ‚ฏใƒ†ใ‚ฃใƒ–ใฎใ‚ˆใ†ใซไธ€ๅฎšใฎ่ชคๅทฎใ‚’็ถ™็ถš็š„ใซๆธ›ใ‚‰ใ—ใŸใ„ใชใ‚‰MAEใŒๆ‰ฑใ„ใ‚„ใ™ใ„ใ“ใจใ‚‚ใ‚ใ‚Šใพใ™ใ€‚ใ•ใ‚‰ใซใ€ๆ„ๆ€ๆฑบๅฎšใซ็›ด็ตใ™ใ‚‹ใชใ‚‰ใ€่ชคๅทฎใ‚’้‡‘้Šญ็š„ๆๅคฑใซๆ›็ฎ—ใ™ใ‚‹ๆŒ‡ๆจ™ใซๅฏ„ใ›ใ‚‹ใฎใ‚‚ๆœ‰ๅŠนใงใ™ใ€‚้Žๅ‰ฐๅœจๅบซใฎๆๅคฑใจๆฌ ๅ“ใฎๆๅคฑใŒ้žๅฏพ็งฐใชใ‚‰ใ€ๅทฆๅณๅฏพ็งฐใช่ชคๅทฎๆŒ‡ๆจ™ใ ใ‘ใงใฏไธๅๅˆ†ใซใชใ‚Šใพใ™ใ€‚

้‹็”จใงๅ‹ใคโ€•โ€•ใƒใƒƒใ‚ฏใƒ†ใ‚นใƒˆใ€ใƒ‰ใƒชใƒ•ใƒˆๆคœ็Ÿฅใ€่ชฌๆ˜Žๅฏ่ƒฝๆ€ง

ๆ™‚็ณปๅˆ—ไบˆๆธฌใ‚’ไฝฟใˆใ‚‹ๅฝขใซใ™ใ‚‹ใŸใ‚ใซใฏใ€ๅญฆ็ฟ’ใจ่ฉ•ไพกใฎใ‚„ใ‚Šๆ–นใ‚’โ€œๆ™‚้–“ใซๅฟ ๅฎŸโ€ใซใ™ใ‚‹ๅฟ…่ฆใŒใ‚ใ‚Šใพใ™ใ€‚ๅ…ทไฝ“็š„ใซใฏใ€ใƒญใƒผใƒชใƒณใ‚ฐๆคœ่จผใ‚„ใ‚ฆใ‚ฉใƒผใ‚ฏใƒ•ใ‚ฉใƒฏใƒผใƒ‰ๆคœ่จผใจๅ‘ผใฐใ‚Œใ‚‹ๆ–นๆณ•ใงใ€ๅญฆ็ฟ’ๆœŸ้–“ใ‚’ๅฐ‘ใ—ใšใค้€ฒใ‚ใชใŒใ‚‰ๆœชๆฅใ‚’่ค‡ๆ•ฐๅ›žไบˆๆธฌใ—ใ€ๅฎŸ้‹็”จใซ่ฟ‘ใ„ๅฝขใงๆ€ง่ƒฝใ‚’่ฆ‹ใพใ™ใ€‚ใ“ใ‚Œใซใ‚ˆใ‚Šใ€Œ็‰นๅฎšๆœŸ้–“ใ ใ‘ๅฝ“ใŸใฃใฆใ„ใŸใ ใ‘ใ€ใจใ„ใ†ๅถ็„ถใ‚’ๆธ›ใ‚‰ใ›ใพใ™ใ€‚ใ•ใ‚‰ใซใ€ไบˆๆธฌใฎๅœฐๅนณ๏ผˆ1ๆ—ฅๅ…ˆใ€7ๆ—ฅๅ…ˆใ€28ๆ—ฅๅ…ˆใชใฉ๏ผ‰ใ”ใจใซ็ฒพๅบฆใŒๅคงใใๅค‰ใ‚ใ‚‹ใฎใงใ€ใฉใฎๅœฐๅนณใŒๆ„ๆ€ๆฑบๅฎšใซ้‡่ฆใ‹ใ‚’ๅ…ˆใซๆฑบใ‚ใฆ่ฉ•ไพกใ—ใพใ™ใ€‚

ๆฌกใซใ€้‹็”จใงๅฟ…ใš่ตทใใ‚‹ใฎใŒโ€œๅฝ“ใŸใ‚‰ใชใใชใ‚‹โ€ๅ•้กŒใงใ™ใ€‚ใƒ‡ใƒผใ‚ฟใฎๅˆ†ๅธƒใŒๅค‰ใ‚ใ‚‹ใƒ‰ใƒชใƒ•ใƒˆใฏใ€ใƒ—ใƒญใƒ€ใ‚ฏใƒˆใฎๆˆ้•ทใ‚„ๅธ‚ๅ ดๅค‰ๅŒ–ใง่‡ช็„ถใซ่ตทใใพใ™ใ€‚ใ“ใ“ใง้‡่ฆใชใฎใฏใ€ๅฝ“ใŸใ‚‰ใชใใชใฃใŸใจใใซๅŽŸๅ› ใ‚’ๅˆ‡ใ‚Šๅˆ†ใ‘ใ‚‰ใ‚Œใ‚‹่จญ่จˆใงใ™ใ€‚ไบˆๆธฌใŒๅค–ใ‚ŒใŸใจใ„ใ†ไบ‹ๅฎŸใ ใ‘ใงใฏใ€ใƒขใƒ‡ใƒซใŒๆ‚ชใ„ใฎใ‹ใ€ใƒ‡ใƒผใ‚ฟใŒๅฃŠใ‚ŒใŸใฎใ‹ใ€ๅค–้ƒจใ‚ทใƒงใƒƒใ‚ฏใŒใ‚ใฃใŸใฎใ‹ใŒใ‚ใ‹ใ‚Šใพใ›ใ‚“ใ€‚ๅฎŸๅ‹™ใงใฏใ€ใƒ‡ใƒผใ‚ฟใฎๅˆฐ็€้…ๅปถใ‚„ๆฌ ๆใ‚’ๆคœ็Ÿฅใ™ใ‚‹ใƒขใƒ‹ใ‚ฟใƒชใƒณใ‚ฐใ€ไธป่ฆ็‰นๅพด้‡ใฎๅˆ†ๅธƒๅค‰ๅŒ–ใ‚’่ฟฝใ†ใƒขใƒ‹ใ‚ฟใƒชใƒณใ‚ฐใ€ไบˆๆธฌ่ชคๅทฎใฎๆ€ฅๅข—ใ‚’่ฟฝใ†ใƒขใƒ‹ใ‚ฟใƒชใƒณใ‚ฐใ‚’ๅˆ†ใ‘ใฆๆŒใคใจใ€ๅพฉๆ—งใŒ้€Ÿใใชใ‚Šใพใ™ใ€‚

่ชฌๆ˜Žๅฏ่ƒฝๆ€งใ‚‚ใ€ไฝฟใ‚ใ‚Œใ‚‹ไบˆๆธฌใซใฏๆฌ ใ‹ใ›ใพใ›ใ‚“ใ€‚็พๅ ดใŒ็Ÿฅใ‚ŠใŸใ„ใฎใฏใ€Œๆ˜Žๆ—ฅๅฃฒไธŠใŒใ„ใใ‚‰ใ‹ใ€ใ ใ‘ใงใฏใชใใ€ใ€Œใชใœใใ†่ฆ‹็ฉใ‚‚ใฃใฆใ„ใ‚‹ใฎใ‹ใ€ใ€Œใฉใฎ่ฆๅ› ใŒๅŠนใ„ใฆใ„ใ‚‹ใฎใ‹ใ€ใ€Œใฉใ‚Œใใ‚‰ใ„ใƒ–ใƒฌใ‚‹ใฎใ‹ใ€ใงใ™ใ€‚ใใ“ใงไบˆๆธฌๅ€คใจใ‚ปใƒƒใƒˆใงใ€ไบˆๆธฌๅŒบ้–“๏ผˆไธ็ขบๅฎŸๆ€งใฎ็ฏ„ๅ›ฒ๏ผ‰ใ‚’ๅ‡บใ™ไพกๅ€คใŒใ‚ใ‚Šใพใ™ใ€‚ใ•ใ‚‰ใซใ€ๅค–้ƒจ่ฆๅ› ใ‚’ไฝฟใ†ใƒขใƒ‡ใƒซใชใ‚‰ใ€ๅฏ„ไธŽใฎๆ–นๅ‘ๆ€งใ‚’็คบใ™ใ“ใจใงใ€ๆ„ๆ€ๆฑบๅฎšใซไฝฟใ„ใ‚„ใ™ใใชใ‚Šใพใ™ใ€‚ไพ‹ใˆใฐๅบƒๅ‘Š่ฒปใ‚’ๅข—ใ‚„ใ—ใŸๅ ดๅˆใฎใ‚ทใƒŠใƒชใ‚ชใ€ไพกๆ ผใ‚’ๅค‰ใˆใŸๅ ดๅˆใฎใ‚ทใƒŠใƒชใ‚ชใชใฉใ€ไบˆๆธฌใ‚’โ€œใ‚‚ใ—ใ‚‚โ€ใฎ่จˆ็”ปใซๅค‰ๆ›ใงใใ‚‹ใจใ€ๅ˜ใชใ‚‹ๆ•ฐๅฝ“ใฆใ‹ใ‚‰ไธ€ๆฎตไธŠใŒใ‚Šใพใ™ใ€‚

้‹็”จใ‚’ๆˆ็ซ‹ใ•ใ›ใ‚‹ๆœ€ๅพŒใฎใ‚ณใƒ„ใฏใ€ไบˆๆธฌใฎๆ›ดๆ–ฐ้ ปๅบฆใจ่ฒฌไปป็ฏ„ๅ›ฒใ‚’ๆ˜Ž็ขบใซใ™ใ‚‹ใ“ใจใงใ™ใ€‚ๆฏŽๆ—ฅๆ›ดๆ–ฐใ™ในใใชใฎใ‹ใ€้€ฑๆฌกใงๅๅˆ†ใชใฎใ‹ใ€‚ๆ›ดๆ–ฐใฎใŸใณใซใƒขใƒ‡ใƒซใ‚’ๅ†ๅญฆ็ฟ’ใ™ใ‚‹ใฎใ‹ใ€ไธ€ๅฎšๆœŸ้–“ๅ›บๅฎšใ™ใ‚‹ใฎใ‹ใ€‚ไบˆๆธฌใŒๅค–ใ‚ŒใŸใจใใซ่ชฐใŒๅŽŸๅ› ใ‚’่ฆ‹ใซ่กŒใใฎใ‹ใ€‚ใ“ใ‚Œใ‚‰ใŒๆ›–ๆ˜งใ ใจใ€ไบˆๆธฌใฏ็ฝฎ็‰ฉใซใชใ‚Šใพใ™ใ€‚ๆ™‚็ณปๅˆ—ไบˆๆธฌใฏใ€ใƒขใƒ‡ใƒซใใฎใ‚‚ใฎใ‚ˆใ‚Šใ€้‹็”จ่จญ่จˆใŒไพกๅ€คใ‚’ๆฑบใ‚ใ‚‹้ ˜ๅŸŸใงใ™ใ€‚ๅ …็‰ขใชใƒ™ใƒผใ‚นใƒฉใ‚คใƒณใ€ๆ™‚้–“ใซๅฟ ๅฎŸใชๆคœ่จผใ€ใƒ‰ใƒชใƒ•ใƒˆใ‚’ๅ‰ๆใซใ—ใŸ็›ฃ่ฆ–ใ€่ชฌๆ˜Žๅฏ่ƒฝๆ€งใ€ๆ›ดๆ–ฐใƒซใƒผใƒซใ€‚ใ“ใฎไบ”ใคใŒๆƒใ†ใจใ€ไบˆๆธฌใฏ็พๅ ดใฎๆ„ๆ€ๆฑบๅฎšใซ่‡ช็„ถใซ็ต„ใฟ่พผใพใ‚Œใฆใ„ใใพใ™ใ€‚

A/Bใƒ†ใ‚นใƒˆใฎ่ฝใจใ—็ฉดใ‚’ๅ…จ้ƒจใคใถใ™โ€•โ€•ๅฎŸ้จ“่จญ่จˆใ‹ใ‚‰ๆ„ๆ€ๆฑบๅฎšใพใงใ‚’ใคใชใ็ตฑ่จˆใฎๅŸบๆœฌ

16 December 2025 at 02:15

A/Bใƒ†ใ‚นใƒˆใฎ็›ฎ็š„ใฏใ€Œๅทฎใ‚’ๆธฌใ‚‹ใ€ใงใฏใชใใ€Œๆ„ๆ€ๆฑบๅฎšใ™ใ‚‹ใ€

A/Bใƒ†ใ‚นใƒˆใฏใ€ŒAใจBใฎใฉใกใ‚‰ใŒ่‰ฏใ„ใ‹ใ€ใ‚’ๆฑบใ‚ใ‚‹ใŸใ‚ใฎๆž ็ต„ใฟใงใ™ใ€‚ใ—ใ‹ใ—ใ€็พๅ ดใงใ‚ใ‚ŠใŒใกใชๅคฑๆ•—ใฏใ€ใƒ†ใ‚นใƒˆใฎ็›ฎ็š„ใŒใ€ŒๅทฎใŒๅ‡บใ‚‹ใ‹ใฉใ†ใ‹ใ€ใซใ™ใ‚Šๆ›ฟใ‚ใ‚‹ใ“ใจใงใ™ใ€‚ๅทฎใŒๅ‡บใŸใ‹ใงใฏใชใใ€ๅทฎใŒๅ‡บใŸใจใใซใฉใ†ๅ‹•ใใฎใ‹ใ€ๅทฎใŒๅ‡บใชใ‹ใฃใŸใจใใซใฉใ†ๆ‰ฑใ†ใฎใ‹ใพใงๅซใ‚ใฆใ€ๆ„ๆ€ๆฑบๅฎšใจใ—ใฆ่จญ่จˆใ™ใ‚‹ๅฟ…่ฆใŒใ‚ใ‚Šใพใ™ใ€‚

ๆœ€ๅˆใซๆฑบใ‚ใ‚‹ในใใชใฎใฏใ€ไปฎ่ชฌใจไธป่ฆๆŒ‡ๆจ™ใงใ™ใ€‚ใŸใจใˆใฐใ€Œๆ–ฐใ—ใ„ใ‚ชใƒณใƒœใƒผใƒ‡ใ‚ฃใƒณใ‚ฐใงๅˆๅ›žใ‚ขใ‚ฏใ‚ทใƒงใƒณใŒๅข—ใˆใ‚‹ใ€ใจใ„ใ†ไปฎ่ชฌใชใ‚‰ใ€ไธป่ฆๆŒ‡ๆจ™ใฏๅˆๅ›žใ‚ขใ‚ฏใ‚ทใƒงใƒณ็އใ‹ใ‚‚ใ—ใ‚Œใพใ›ใ‚“ใ€‚ไธ€ๆ–นใงใ€ๅˆๅ›žใ‚ขใ‚ฏใ‚ทใƒงใƒณใŒๅข—ใˆใฆใ‚‚่งฃ็ด„ใŒๅข—ใˆใ‚‹ใชใ‚‰ๆ„ๅ‘ณใŒใ‚ใ‚Šใพใ›ใ‚“ใ€‚ใใ“ใงใ‚ฌใƒผใƒ‰ใƒฌใƒผใƒซๆŒ‡ๆจ™ใจใ—ใฆใ€็ฟŒ้€ฑใฎ็ถ™็ถš็އใ‚„ๅ•ใ„ๅˆใ‚ใ›็އใ‚’็ฝฎใใพใ™ใ€‚ไธป่ฆๆŒ‡ๆจ™ใ ใ‘ใ‚’่ฆ‹ใฆๅ‹ใกใซใ™ใ‚‹ใจใ€ใƒ—ใƒญใƒ€ใ‚ฏใƒˆๅ…จไฝ“ใจใ—ใฆใฏๆ‚ชๅŒ–ใ™ใ‚‹ใ€ใจใ„ใ†ไบ‹ๆ•…ใ‚’้˜ฒใ’ใพใ™ใ€‚

ๆฌกใซ้‡่ฆใชใฎใŒใ€ใฉใ‚Œใใ‚‰ใ„ใฎๅทฎใชใ‚‰ๅ‹ใกใจใ™ใ‚‹ใ‹ใงใ™ใ€‚ใ“ใ“ใง็™ปๅ ดใ™ใ‚‹ใฎใŒๆœ€ๅฐๆคœๅ‡บๅŠนๆžœใจใ„ใ†่€ƒใˆๆ–นใงใ™ใ€‚ๅฎŸๅ‹™ใงใฏใ€Œ็ตฑ่จˆ็š„ใซๆœ‰ๆ„ใ‹ใ€ใ‚ˆใ‚Šใ€Œใƒ“ใ‚ธใƒใ‚นใจใ—ใฆๆ„ๅ‘ณใŒใ‚ใ‚‹ใ‹ใ€ใฎๆ–นใŒ้‡่ฆใชใฎใงใ€ใŸใจใˆใฐCVRใŒ0.1%ไธŠใŒใฃใฆใ‚‚ๅฃฒไธŠใ‚คใƒณใƒ‘ใ‚ฏใƒˆใŒๅฐใ•ใ„ใชใ‚‰ใ€้–‹็™บใ‚ณใ‚นใƒˆใซ่ฆ‹ๅˆใ‚ใชใ„ใ‹ใ‚‚ใ—ใ‚Œใพใ›ใ‚“ใ€‚้€†ใซใ€ใ‚ใšใ‹ใชๆ”นๅ–„ใงใ‚‚ๅฏพ่ฑกใŒๅทจๅคงใงใ‚ใ‚Œใฐๅๅˆ†ใซไพกๅ€คใŒใ‚ใ‚Šใพใ™ใ€‚ๆœ€ๅฐๆคœๅ‡บๅŠนๆžœใฏใ€ๅฟ…่ฆใ‚ตใƒณใƒ—ใƒซๆ•ฐใ‚„ๆœŸ้–“ใฎ่ฆ‹็ฉใ‚‚ใ‚Šใซใ‚‚็›ด็ตใ™ใ‚‹ใŸใ‚ใ€ๅฎŸ้จ“ใ‚’ๅง‹ใ‚ใ‚‹ๅ‰ใซๆฑบใ‚ใฆใŠใไพกๅ€คใŒใ‚ใ‚Šใพใ™ใ€‚

ใ“ใ“ใงๆฐ—ใ‚’ไป˜ใ‘ใŸใ„ใฎใฏใ€ๆŒ‡ๆจ™ใŒใฒใจใคใงๆธˆใ‚€ใจใฏ้™ใ‚‰ใชใ„็‚นใงใ™ใ€‚ๅนณๅ‡ใ ใ‘่ฆ‹ใฆใ„ใ‚‹ใจใ€็‰นๅฎšใฎๅฑคใ ใ‘ใŒๅคงใใๅๅฟœใ—ใฆๅ…จไฝ“ๅนณๅ‡ใ‚’ๆŠผใ—ไธŠใ’ใฆใ„ใ‚‹ใ‚ฑใƒผใ‚นใ‚’่ฆ‹้€ƒใ—ใพใ™ใ€‚ใŸใจใˆใฐ้ซ˜้ก่ชฒ้‡‘่€…ใซใฏๆ‚ชๅฝฑ้Ÿฟใ ใŒ็„ก่ชฒ้‡‘ใƒฆใƒผใ‚ถใƒผใซ่‰ฏใ„ๅฝฑ้ŸฟใŒใ‚ใ‚‹ใจใ€ๅนณๅ‡ใงใฏใƒ—ใƒฉใ‚นใซ่ฆ‹ใˆใ‚‹ใ“ใจใŒใ‚ใ‚Šใพใ™ใ€‚ใ ใ‹ใ‚‰ใจใ„ใฃใฆๆœ€ๅˆใ‹ใ‚‰ๅคง้‡ใฎใ‚ปใ‚ฐใƒกใƒณใƒˆใ‚’่ฆ‹ใ‚‹ใจใ€ๅคš้‡ๆฏ”่ผƒใฎๅ•้กŒใงๅถ็„ถใฎๅฝ“ใŸใ‚ŠใŒๅข—ใˆใพใ™ใ€‚็พๅฎŸ็š„ใซใฏใ€ไบ‹ๅ‰ใซ้‡่ฆใ‚ปใ‚ฐใƒกใƒณใƒˆใ‚’ๅฐ‘ๆ•ฐใซ็ตžใ‚Šใ€ๆŽข็ดขใจ็ขบ่ชใ‚’ๅˆ†ใ‘ใ‚‹ใฎใŒๅฎ‰ๅ…จใงใ™ใ€‚

ใ‚ตใƒณใƒ—ใƒซใ‚ตใ‚คใ‚บใ€ใƒฉใƒณใƒ€ใƒ ๅŒ–ใ€ๆฑšๆŸ“ใ‚’ใฉใ†ๆ‰ฑใ†ใ‹

A/Bใƒ†ใ‚นใƒˆใฎๅ“่ณชใ‚’ๆฑบใ‚ใ‚‹ๅคงใใช่ฆ็ด ใฏใ€ใ‚ตใƒณใƒ—ใƒซใ‚ตใ‚คใ‚บใจใƒฉใƒณใƒ€ใƒ ๅŒ–ใฎ้‹็”จใงใ™ใ€‚ใ‚ตใƒณใƒ—ใƒซใŒๅฐ‘ใชใ„ใจใ€ๅŠนๆžœใŒใ‚ใฃใฆใ‚‚ๆคœๅ‡บใงใใพใ›ใ‚“ใ—ใ€ๅถ็„ถใฎๆบใ‚Œใงๅ‹ๆ•—ใŒใฒใฃใใ‚Š่ฟ”ใ‚Šใพใ™ใ€‚ใ“ใ“ใงๅฟ…่ฆใ‚ตใƒณใƒ—ใƒซๆ•ฐใ‚’ๆฑบใ‚ใ‚‹้š›ใซใ€ใƒ™ใƒผใ‚นใƒฉใ‚คใƒณ๏ผˆ็พ็ŠถใฎๆŒ‡ๆจ™ๆฐดๆบ–๏ผ‰ใ€ๆœ€ๅฐๆคœๅ‡บๅŠนๆžœใ€่จฑๅฎนใ™ใ‚‹่ชคๅˆคๅฎšใฎ็ขบ็އใ‚’ไฝฟใ„ใพใ™ใ€‚็ดฐใ‹ใ„ๅผใ‚’่ฆšใˆใชใใฆใ‚‚ใ€ใ€Œๆ”นๅ–„ๅน…ใ‚’ๅฐใ•ใ่ฆ‹็ฉใ‚‚ใ‚‹ใปใฉๅฟ…่ฆใ‚ตใƒณใƒ—ใƒซใŒๅข—ใˆใ‚‹ใ€ใ€Œใฐใ‚‰ใคใใŒๅคงใใ„ๆŒ‡ๆจ™ใปใฉใ‚ตใƒณใƒ—ใƒซใŒๅข—ใˆใ‚‹ใ€ใจใ„ใ†็›ดๆ„ŸใŒ้‡่ฆใงใ™ใ€‚

ๆฌกใซๆœŸ้–“ใฎๆฑบใ‚ๆ–นใงใ™ใ€‚ๆ›œๆ—ฅๅŠนๆžœใ‚„ๆœˆๅˆๆœˆๆœซใฎๅใ‚ŠใŒใ‚ใ‚‹ๆŒ‡ๆจ™ใงใฏใ€็ŸญๆœŸ้–“ใงๅˆ‡ใ‚‹ใจๅใฃใฆๅˆคๆ–ญใ—ใฆใ—ใพใ„ใพใ™ใ€‚ไพ‹ใˆใฐB2Bใฎใƒชใƒผใƒ‰็ฒๅพ—ใฏๅนณๆ—ฅใซๅใ‚Šใ‚„ใ™ใ„ใงใ™ใ—ใ€ECใงใฏ็ตฆๆ–™ๆ—ฅใ‚„ใ‚ปใƒผใƒซๅ‘จๆœŸใŒๅŠนใใพใ™ใ€‚็†ๆƒณใฏใ€ๅฐ‘ใชใใจใ‚‚ไธ€ใคใฎๅ‘จๆœŸใ‚’ใพใŸใใ‚ˆใ†ใซๆœŸ้–“ใ‚’่จญ่จˆใ—ใ€ๅญฃ็ฏ€ๆ€งใŒๅผทใ„ใชใ‚‰ใƒ›ใƒผใƒซใƒ‰ใ‚ขใ‚ฆใƒˆใ‚’ไฝฟใฃใŸ้•ทๆœŸๆคœ่จผใ‚‚่ฆ–้‡Žใซๅ…ฅใ‚Œใพใ™ใ€‚

ใใ—ใฆใ€ใƒฉใƒณใƒ€ใƒ ๅŒ–ใŒๅฎŸๅ‹™ใงๆœ€ใ‚‚ๅฃŠใ‚Œใ‚„ใ™ใ„ใƒใ‚คใƒณใƒˆใŒๆฑšๆŸ“ใงใ™ใ€‚ๆฑšๆŸ“ใจใฏใ€ๅฏพ็…ง็พคใจๆ–ฝ็ญ–็พคใŒใใ‚Œใ„ใซๅˆ†ใ‹ใ‚Œใšใ€ไบ’ใ„ใฎๅฝฑ้ŸฟใŒๆททใ–ใ‚‹ใ“ใจใงใ™ใ€‚ๅ…ธๅž‹ไพ‹ใฏใ€ๅŒใ˜ใƒฆใƒผใ‚ถใƒผใŒใ‚นใƒžใƒ›ใจPCใงใ‚ขใ‚ฏใ‚ปใ‚นใ—ใ€็‰‡ๆ–นใงใฏAใ€ใ‚‚ใ†็‰‡ๆ–นใงใฏBใ‚’่ฆ‹ใฆใ—ใพใ†ใ‚ฑใƒผใ‚นใงใ™ใ€‚ใ‚ใ‚‹ใ„ใฏSNSใงๆ–ฐๆฉŸ่ƒฝใŒ่ฉฑ้กŒใซใชใ‚Šใ€ๅฏพ็…ง็พคใ‚‚่กŒๅ‹•ใŒๅค‰ใ‚ใฃใฆใ—ใพใ†ใ‚ฑใƒผใ‚นใ‚‚ใ‚ใ‚Šใพใ™ใ€‚ใ•ใ‚‰ใซB2B้ ˜ๅŸŸใงใฏใ€ๅŒใ˜ไผๆฅญๅ†…ใฎ่ค‡ๆ•ฐใƒฆใƒผใ‚ถใƒผใŒไบ’ใ„ใซๅฝฑ้Ÿฟใ—ๅˆใ†ใ“ใจใŒๅคšใใ€ใƒฆใƒผใ‚ถใƒผๅ˜ไฝใฎๅ‰ฒไป˜ใงใฏไธๅๅˆ†ใซใชใ‚‹ใ“ใจใŒใ‚ใ‚Šใพใ™ใ€‚

ๆฑšๆŸ“ใธใฎๅฏพ็ญ–ใฏใ€ๅ‰ฒไป˜ๅ˜ไฝใ‚’้ฉๅˆ‡ใซ้ธใถใ“ใจใซๅฐฝใใพใ™ใ€‚ๅ€‹ไบบใ‚’็‹ฌ็ซ‹ใซๆ‰ฑใˆใ‚‹ใชใ‚‰ใƒฆใƒผใ‚ถใƒผๅ˜ไฝใง่‰ฏใ„ใงใ™ใŒใ€ไผๆฅญใ‚„ใƒใƒผใƒ ใชใฉใฎใพใจใพใ‚Šใงๅฝฑ้ŸฟใŒไผๆ’ญใ™ใ‚‹ใชใ‚‰ใ€ใ‚ฏใƒฉใ‚นใ‚ฟใƒผๅ˜ไฝใงๅ‰ฒใ‚Šไป˜ใ‘ใ‚‹็™บๆƒณใŒๅฟ…่ฆใงใ™ใ€‚ใŸใ ใ—ใ‚ฏใƒฉใ‚นใ‚ฟใƒผๅŒ–ใ™ใ‚‹ใจใ‚ตใƒณใƒ—ใƒซๆ•ฐใฎๅฎŸๅŠนใŒๆธ›ใ‚Šใ€ๅฟ…่ฆๆœŸ้–“ใŒไผธใณใ‚‹ใ“ใจใŒใ‚ใ‚Šใพใ™ใ€‚ใ ใ‹ใ‚‰ใ“ใใ€ๅฎŸ้จ“ใ‚’ๅง‹ใ‚ใ‚‹ๅ‰ใซใ€Œใฉใ“ใงๅนฒๆธ‰ใŒ่ตทใใ‚‹ใ‹ใ€ใ‚’ๆฅญๅ‹™็†่งฃใจใ—ใฆๆด—ใ„ๅ‡บใ—ใฆใŠใใ“ใจใŒ้‡่ฆใงใ™ใ€‚

ใ‚‚ใ†ไธ€ใคใฎ่ฝใจใ—็ฉดใฏ้€”ไธญ่ฆ—ใ่ฆ‹ใงใ™ใ€‚ๆฏŽๆ—ฅ็ตๆžœใ‚’่ฆ‹ใฆใ€ŒไปŠๆ—ฅใฏBใŒๅ‹ใฃใฆใ‚‹ใ‹ใ‚‰็ต‚ใ‚ใ‚ใ†ใ€ใจใ‚„ใ‚‹ใจใ€ๅถ็„ถใฎๆบใ‚Œใงๅ‹ใฃใฆใ„ใ‚‹็žฌ้–“ใ‚’ๆ‹พใฃใฆใ—ใพใ„ใ€่ชคๅˆคๅฎšใŒๅข—ใˆใพใ™ใ€‚่ฆ—ใ่ฆ‹่‡ชไฝ“ใŒๆ‚ชใ„ใฎใงใฏใชใใ€่ฆ—ใใชใ‚‰่ฆ—ใใŸใ‚ใฎใƒซใƒผใƒซใŒๅฟ…่ฆใงใ™ใ€‚ไพ‹ใˆใฐใ€ๆฑบใ‚ใŸๆœŸ้–“ใŒ็ต‚ใ‚ใ‚‹ใพใงใฏๅˆคๅฎšใ—ใชใ„ใ€ใ‚ใ‚‹ใ„ใฏ้€ๆฌกๆคœๅฎšใฎๆž ็ต„ใฟใ‚’ๆŽก็”จใ—ใฆโ€œ่ฆ—ใๅ›žๆ•ฐโ€ใ‚’็ตฑ่จˆ็š„ใซ็น”ใ‚Š่พผใ‚€ใ€ใจใ„ใฃใŸ้‹็”จใงใ™ใ€‚็พๅ ดใงใฏใ€ใพใšใ€Œ็ต‚ไบ†ๆกไปถใ‚’ไบ‹ๅ‰ใซๆฑบใ‚ใ‚‹ใ€ใ ใ‘ใงใ‚‚ไบ‹ๆ•…ใŒๅคงใใๆธ›ใ‚Šใพใ™ใ€‚

็ตๆžœใฎ่ชญใฟๆ–นใจใ€ๅฎŸ่ฃ…ๅพŒใซๅพŒๆ‚”ใ—ใชใ„ๅˆคๆ–ญๅŸบๆบ–

ใƒ†ใ‚นใƒˆใฎ็ตๆžœใ‚’ๅ—ใ‘ๅ–ใฃใŸใจใใ€ๅคšใใฎไบบใŒๆœ€ๅˆใซ่ฆ‹ใ‚‹ใฎใฏpๅ€คใ‹ใ‚‚ใ—ใ‚Œใพใ›ใ‚“ใ€‚ใ—ใ‹ใ—pๅ€คใฏใ€ŒๅทฎใŒใชใ„ใจไปฎๅฎšใ—ใŸใจใใซใ€ไปŠใฎๅทฎไปฅไธŠใŒๅถ็„ถใงๅ‡บใ‚‹็ขบ็އใ€ใ‚’่กจใ™ๆŒ‡ๆจ™ใงใ‚ใฃใฆใ€ใ€ŒBใŒ่‰ฏใ„็ขบ็އใ€ใงใฏใ‚ใ‚Šใพใ›ใ‚“ใ€‚ใ—ใ‹ใ‚‚ใ€ใ‚ตใƒณใƒ—ใƒซใŒๅทจๅคงใชใ‚‰ๅฐใ•ใชๅทฎใงใ‚‚ๆœ‰ๆ„ใซใชใ‚Šใพใ™ใ—ใ€ใ‚ตใƒณใƒ—ใƒซใŒๅฐใ•ใ‘ใ‚Œใฐๅคงใใชๅทฎใงใ‚‚ๆœ‰ๆ„ใซใชใ‚‰ใชใ„ใ“ใจใŒใ‚ใ‚Šใพใ™ใ€‚ใคใพใ‚Špๅ€คใ ใ‘ใงๅˆคๆ–ญใ™ใ‚‹ใจใ€ใ€Œๆ„ๅ‘ณใฎใชใ„ๅทฎใ‚’ๆŽก็”จใ™ใ‚‹ใ€ใ‹ใ€Œๆœ‰ๆœ›ใชๆ”นๅ–„ใ‚’ๆจใฆใ‚‹ใ€ใฎใฉใกใ‚‰ใ‹ใซๅฏ„ใ‚ŠใŒใกใงใ™ใ€‚

ใใ“ใงใ€ๅฎŸๅ‹™ใงใฏๅŠนๆžœ้‡ใจไธ็ขบๅฎŸๆ€งใ‚’ใ‚ปใƒƒใƒˆใง่ฆ‹ใ‚‹ใฎใŒๆœ‰ๅŠนใงใ™ใ€‚ๅŠนๆžœ้‡ใฏใ€ไพ‹ใˆใฐCVRใŒไฝ•ใƒใ‚คใƒณใƒˆไธŠใŒใฃใŸใ‹ใ€ๅฃฒไธŠใŒไฝ•%ๅข—ใˆใŸใ‹ใจใ„ใฃใŸๅทฎใฎๅคงใใ•ใงใ™ใ€‚ไธ็ขบๅฎŸๆ€งใฏใ€ใใฎๅทฎใŒใฉใ‚Œใใ‚‰ใ„ใƒ–ใƒฌใ‚‹ๅฏ่ƒฝๆ€งใŒใ‚ใ‚‹ใ‹ใงใ€ไฟก้ ผๅŒบ้–“ใจใ—ใฆ่กจ็พใ•ใ‚Œใ‚‹ใ“ใจใŒๅคšใ„ใงใ™ใ€‚ไฟก้ ผๅŒบ้–“ใŒใ€Œใƒ“ใ‚ธใƒใ‚นไธŠๆ„ๅ‘ณใŒใ‚ใ‚‹ๅทฎใ€ใ‚’ใพใŸใ„ใงใ„ใ‚‹ใชใ‚‰ใ€ใพใ ๅˆคๆ–ญใŒๆ—ฉใ„ใ‹ใ‚‚ใ—ใ‚Œใพใ›ใ‚“ใ—ใ€้€†ใซๅŒบ้–“ใ”ใจๆ„ๅ‘ณใฎใ‚ใ‚‹้ ˜ๅŸŸใซๅ…ฅใฃใฆใ„ใ‚‹ใชใ‚‰ใ€pๅ€คใซ้Žๅ‰ฐใซใ“ใ ใ‚ใ‚‰ใšๆ„ๆ€ๆฑบๅฎšใงใใพใ™ใ€‚

ใพใŸใ€ใ‚ˆใใ‚ใ‚‹่ชค่ชญใฏใ€Œๆœ‰ๆ„ใงใชใ‹ใฃใŸ๏ผๅŠนๆžœใŒใชใ„ใ€ใจ็ต่ซ–ใฅใ‘ใ‚‹ใ“ใจใงใ™ใ€‚ๆœ‰ๆ„ใงใชใ„ใฎใฏใ€ๅ˜ใซๆƒ…ๅ ฑใŒ่ถณใ‚Šใชใ„ๅฏ่ƒฝๆ€งใŒใ‚ใ‚Šใพใ™ใ€‚ๅŠนๆžœ้‡ใŒใƒ—ใƒฉใ‚นใงใ€ๅŒบ้–“ใŒๅบƒใ„ใชใ‚‰ใ€ใ‚ตใƒณใƒ—ใƒซไธ่ถณใฎ็–‘ใ„ใŒๅผทใ„ใงใ™ใ€‚ใ“ใ“ใงๅคงๅˆ‡ใชใฎใฏใ€ๆœ€ๅˆใซๆฑบใ‚ใŸๆœ€ๅฐๆคœๅ‡บๅŠนๆžœใจ็…งใ‚‰ใ—ๅˆใ‚ใ›ใฆใ€ใ€Œใ“ใฎใƒ†ใ‚นใƒˆใฏใใฎๅทฎใ‚’ๆคœๅ‡บใงใใ‚‹่จญ่จˆใ ใฃใŸใฎใ‹ใ€ใ‚’ๆŒฏใ‚Š่ฟ”ใ‚‹ใ“ใจใงใ™ใ€‚

ใ•ใ‚‰ใซใ€ใ‚ปใ‚ฐใƒกใƒณใƒˆๅˆฅใฎ็ตๆžœใ‚’่ฆ‹ใ‚‹ใจใใฏๆ…Ž้‡ใ•ใŒๅฟ…่ฆใงใ™ใ€‚ใƒ†ใ‚นใƒˆๅพŒใซๆ€ใ„ใคใใพใพใซๅฑžๆ€งใงๅˆ‡ใฃใฆใ„ใใจใ€ใฉใ“ใ‹ใงๅถ็„ถโ€œๅ‹ใฃใŸใ‚ปใ‚ฐใƒกใƒณใƒˆโ€ใŒๅฟ…ใšๅ‡บใฆใใพใ™ใ€‚ใ“ใ‚Œใ‚’ๆœฌ็‰ฉใจ่ชค่ชใ™ใ‚‹ใจใ€ๆฌกใฎๆ–ฝ็ญ–ใŒ่ฟท่ตฐใ—ใพใ™ใ€‚ๅฎ‰ๅ…จใชใ‚„ใ‚Šๆ–นใฏใ€ไบ‹ๅ‰ใซ้‡่ฆใ‚ปใ‚ฐใƒกใƒณใƒˆใ‚’้™ๅฎšใ—ใฆไปฎ่ชฌใจใ—ใฆๆŒใคใ‹ใ€ใƒ†ใ‚นใƒˆๅพŒใฎ็™บ่ฆ‹ใฏๆŽข็ดข็ตๆžœใจใ—ใฆๆ‰ฑใฃใฆๆฌกใฎใƒ†ใ‚นใƒˆใง็ขบ่ชใ™ใ‚‹ใ€ใจใ„ใ†ไบŒๆฎตๆง‹ใˆใงใ™ใ€‚

ๆœ€ๅพŒใซใ€A/Bใƒ†ใ‚นใƒˆใฏๅ‹ใฃใฆ็ต‚ใ‚ใ‚Šใงใฏใ‚ใ‚Šใพใ›ใ‚“ใ€‚ใƒชใƒชใƒผใ‚นๅพŒใซๅŠนๆžœใŒ่–„ใ‚Œใ‚‹ใ“ใจใ‚‚ใ‚ใ‚Šใพใ™ใ€‚ๆ–ฐ่ฆๆ€งใงไธ€ๆ™‚็š„ใซ่กŒๅ‹•ใŒๅค‰ใ‚ใ‚‹ใ€้‹็”จใŒๅค‰ใ‚ใ‚‹ใ€ใƒฆใƒผใ‚ถใƒผๅฑคใŒๅค‰ใ‚ใ‚‹ใ€็ซถๅˆใ‚„ๅธ‚ๅ ดใŒๅ‹•ใใชใฉใ€็†็”ฑใฏใ„ใใ‚‰ใงใ‚‚ใ‚ใ‚Šใพใ™ใ€‚ใ ใ‹ใ‚‰ใ“ใใ€้‡่ฆใชๅค‰ๆ›ดใงใฏใƒ›ใƒผใƒซใƒ‰ใ‚ขใ‚ฆใƒˆใ‚’ๆฎ‹ใ—ใฆ้•ทๆœŸใฎๅทฎใ‚’็›ฃ่ฆ–ใ—ใŸใ‚Šใ€ไธป่ฆๆŒ‡ๆจ™ใจใ‚ฌใƒผใƒ‰ใƒฌใƒผใƒซๆŒ‡ๆจ™ใ‚’็ถ™็ถšใ—ใฆ่ฟฝใ„ใ€ใƒชใ‚ฐใƒฌใƒƒใ‚ทใƒงใƒณใ‚’ๆ—ฉๆœŸใซๆคœ็Ÿฅใงใใ‚‹็Šถๆ…‹ใ‚’ไฝœใ‚‹ใ“ใจใŒๅฎŸๅ‹™็š„ใซใฏๅผทใ„ใงใ™ใ€‚

A/Bใƒ†ใ‚นใƒˆใฏ็ตฑ่จˆใฎๅ•้กŒใซ่ฆ‹ใˆใฆใ€ๅฎŸใฏใƒ—ใƒญใƒ€ใ‚ฏใƒˆใฎ่จญ่จˆใƒป้‹็”จใƒปๆ„ๆ€ๆฑบๅฎšใฎ็ทๅˆๆ ผ้—˜ๆŠ€ใงใ™ใ€‚ไปฎ่ชฌใ‚’ๆ˜Ž็ขบใซใ—ใ€ๆŒ‡ๆจ™ใ‚’้ธใณใ€ๅ‰ฒไป˜ใจๆœŸ้–“ใ‚’่จญ่จˆใ—ใ€็ตๆžœใ‚’ไธ็ขบๅฎŸๆ€ง่พผใฟใง่ชญใ‚€ใ€‚ใ“ใฎไธ€้€ฃใ‚’ไธๅฏงใซๅ›žใ™ใปใฉใ€ใƒ†ใ‚นใƒˆใฏโ€œๅ‹ๆ•—ใ‚’ๆฑบใ‚ใ‚‹ๅ„€ๅผโ€ใงใฏใชใใ€ๅญฆ็ฟ’ใ‚’็ฉใฟ้‡ใญใ‚‹ๅผทๅŠ›ใชไป•็ต„ใฟใซใชใ‚Šใพใ™ใ€‚

ไปŠ้ ƒ่žใ‘ใชใ„ๅ› ๆžœๆŽจ่ซ–ๅ…ฅ้–€๏ผš็›ธ้–ขใจใฎ้•ใ„ใฏ๏ผŸ

16 December 2025 at 02:13

็›ธ้–ขใจๅ› ๆžœใฎ้•ใ„ใ‚’ใ€ŒๅๅฎŸไปฎๆƒณใ€ใง่…น่ฝใกใ•ใ›ใ‚‹

ใพใšใ€ๅ› ๆžœๆŽจ่ซ–ใŒๆ‰ฑใ†ใฎใฏใ€ŒAใ‚’ใ‚„ใฃใŸใ‹ใ‚‰BใŒ่ตทใใŸใฎใ‹ใ€ใจใ„ใ†ๅ•ใ„ใงใ™ใ€‚ใ“ใ“ใง้‡่ฆใชใฎใฏใ€โ€œๅŒใ˜ไบบ๏ผˆๅŒใ˜ๅฏพ่ฑก๏ผ‰โ€ใซๅฏพใ—ใฆใ€ŒAใ‚’ใ‚„ใฃใŸไธ–็•Œใ€ใจใ€ŒAใ‚’ใ‚„ใ‚‰ใชใ‹ใฃใŸไธ–็•Œใ€ใ‚’ๆฏ”ในใŸใ„ใ€ใจใ„ใ†็™บๆƒณใซใชใ‚Šใพใ™ใ€‚ใŸใจใˆใฐใ€ใ‚ฏใƒผใƒใƒณใ‚’้…ใฃใŸใƒฆใƒผใ‚ถใƒผใฎ่ณผๅ…ฅ้กใŒๅข—ใˆใŸใจใ—ใฆใ‚‚ใ€ใใ‚Œใ ใ‘ใงใฏๅ› ๆžœใจใฏ่จ€ใˆใพใ›ใ‚“ใ€‚ใชใœใชใ‚‰ใ€ใใ‚‚ใใ‚‚่ณผ่ฒทๆ„ๆฌฒใŒ้ซ˜ใ„ใƒฆใƒผใ‚ถใƒผใ‚’ๅ„ชๅ…ˆใ—ใฆ้…ใฃใฆใ„ใŸใ‚‰ใ€ใ€Œๆ„ๆฌฒใŒ้ซ˜ใ„ใ‹ใ‚‰่ฒทใฃใŸใ€ใ ใ‘ใ‹ใ‚‚ใ—ใ‚Œใชใ„ใ‹ใ‚‰ใงใ™ใ€‚

ใ“ใฎใ€ŒๅŒใ˜ไบบใซไบŒใคใฎไธ–็•Œใ‚’็”จๆ„ใ—ใŸใ„ใ€ใจใ„ใ†่€ƒใˆๆ–นใ‚’ใ€ๅ› ๆžœๆŽจ่ซ–ใงใฏๅๅฎŸไปฎๆƒณใจๅ‘ผใณใพใ™ใ€‚ๅๅฎŸไปฎๆƒณใจใฏใ€ใ€Œใ‚‚ใ—ใ‚ฏใƒผใƒใƒณใ‚’้…ใฃใฆใ„ใชใ‹ใฃใŸใ‚‰ใ€ใใฎไบบใฏใฉใ†ใชใฃใฆใ„ใŸใ‹ใ€ใจใ„ใ†ไปฎใฎไธ–็•Œใงใ™ใ€‚็พๅฎŸใซใฏไธ€ไบบใฎใƒฆใƒผใ‚ถใƒผใ‚’ๅŒๆ™‚ใซไบŒใคใฎไธ–็•Œใซ็ฝฎใ‘ใชใ„ใฎใงใ€ๅๅฎŸไปฎๆƒณใฏ่ฆณๆธฌใงใใพใ›ใ‚“ใ€‚่ฆณๆธฌใงใใชใ„ใ‚‚ใฎใ‚’ๆŽจๅฎšใ—ใŸใ„ใ€ใจใ„ใ†ใฎใŒๅ› ๆžœๆŽจ่ซ–ใฎ้›ฃใ—ใ•ใงใ‚ใ‚Šใ€้ข็™ฝใ•ใงใ‚‚ใ‚ใ‚Šใพใ™ใ€‚

ใ“ใ“ใงๆŠผใ•ใˆใ‚‹ในใใƒใ‚คใƒณใƒˆใฏไบŒใคใ‚ใ‚Šใพใ™ใ€‚ใฒใจใคใฏใ€ๅ› ๆžœๅŠนๆžœใฏโ€œๆฏ”่ผƒโ€ใงๅฎš็พฉใ•ใ‚Œใ‚‹ใจใ„ใ†ใ“ใจใงใ™ใ€‚ๆ–ฝ็ญ–ใ‚’ๅฎŸๆ–ฝใ—ใŸ็พคใฎๅนณๅ‡ๅ€คใ ใ‘่ฆ‹ใฆใ‚‚ใ€ๆ–ฝ็ญ–ใŒๅŠนใ„ใŸใฎใ‹ใฏใ‚ใ‹ใ‚Šใพใ›ใ‚“ใ€‚ใ‚‚ใ†ใฒใจใคใฏใ€ๆฏ”่ผƒ็›ธๆ‰‹ใŒๆญฃใ—ใใชใ„ใจใ€็ตๆžœใŒ็ฐกๅ˜ใซใญใ˜ใ‚Œใ‚‹ใจใ„ใ†ใ“ใจใงใ™ใ€‚่ณผ่ฒทๆ„ๆฌฒใ€ๆ—ขๅญ˜ใฎๅˆฉ็”จ้ ปๅบฆใ€ๅœฐๅŸŸใ€ใƒ‡ใƒใ‚คใ‚นใ€ๅบƒๅ‘ŠๆŽฅ่งฆ็Šถๆณใชใฉใ€ๆ–ฝ็ญ–ใซใ‚‚็ตๆžœใซใ‚‚ๅฝฑ้Ÿฟใ™ใ‚‹่ฆๅ› ใŒใ‚ใ‚‹ใจใ€็พค้–“ใฎๅทฎใฏใ€Œๆ–ฝ็ญ–ใฎๅŠนๆžœใ€ใจใ€Œๅ…ƒใ€…ใฎ้•ใ„ใ€ใŒๆททใ–ใฃใฆใ—ใพใ„ใพใ™ใ€‚ใ“ใฎๆททใ–ใ‚Šใ‚‚ใฎใŒไบค็ตกใงใ€ๅ› ๆžœๆŽจ่ซ–ใฏไบค็ตกใ‚’ใฉใ†ๆ‰ฑใ†ใ‹ใฎไฝ“็ณปใงใ‚‚ใ‚ใ‚Šใพใ™ใ€‚

็พๅ ดใงใ‚ˆใ่ตทใใ‚‹ใ€Œ็›ธ้–ขใฎ็ฝ ใ€ใ‚’ใ‚‚ใ†ๅฐ‘ใ—ๅ…ทไฝ“็š„ใซ่€ƒใˆใพใ™ใ€‚ใŸใจใˆใฐๆ–ฐใ—ใ„UIใ‚’ๅฐŽๅ…ฅใ—ใŸใ‚ใจใง้›ข่„ฑ็އใŒไธ‹ใŒใฃใŸใจใ—ใพใ™ใ€‚ใ—ใ‹ใ—ใ€ใใฎใ‚ฟใ‚คใƒŸใƒณใ‚ฐใงๅบƒๅ‘Šๆตๅ…ฅใŒๆธ›ใ‚Šใ€ๆ—ขๅญ˜ใƒฆใƒผใ‚ถใƒผๆฏ”็އใŒๅข—ใˆใฆใ„ใŸใ‚‰ใฉใ†ใงใ—ใ‚‡ใ†ใ€‚้›ข่„ฑ็އใฎไฝŽไธ‹ใฏUIใฎๆ”นๅ–„ใงใฏใชใใ€ๆตๅ…ฅใฎ่ณชใŒๅค‰ใ‚ใฃใŸใ ใ‘ใ‹ใ‚‚ใ—ใ‚Œใพใ›ใ‚“ใ€‚ใ‚ใ‚‹ใ„ใฏใ‚ญใƒฃใƒณใƒšใƒผใƒณ้–‹ๅง‹ใจๅŒๆ™‚ใซๅญฃ็ฏ€่ฆๅ› ใง้œ€่ฆใŒไผธใณใ‚‹ๆ™‚ๆœŸใซๅ…ฅใฃใฆใ„ใŸใ‚‰ใ€่‡ช็„ถๅข—ใ‚’ๆ–ฝ็ญ–ๅŠนๆžœใจๅ–ใ‚Š้•ใˆใ‚‹ใ‹ใ‚‚ใ—ใ‚Œใพใ›ใ‚“ใ€‚ใ“ใ‚Œใ‚‰ใฏใ€Œๆ–ฝ็ญ–ใฎๅ‰ๅพŒใงๆฏ”ในใ‚‹ใ€ใจใ„ใ†็ด ๆœดใชๆฏ”่ผƒใŒใ€ๅๅฎŸไปฎๆƒณใ‚’ใ†ใพใไปฃๆ›ฟใ—ใฆใ„ใชใ„ไพ‹ใงใ™ใ€‚

ๅ› ๆžœๆŽจ่ซ–ใงๆœ€็ต‚็š„ใซๆŽจๅฎšใ—ใŸใ„้‡ใฏใ€ๅนณๅ‡็š„ใซใฉใ‚Œใ ใ‘ๅŠนใ„ใŸใ‹ใจใ„ใ†ๅนณๅ‡ๅ‡ฆ็ฝฎๅŠนๆžœใซ้™ใ‚Šใพใ›ใ‚“ใ€‚ๅฎŸๅ‹™ใงใฏใ€Œ่ชฐใซๅŠนใ„ใŸใ‹ใ€ใŒ้‡่ฆใซใชใ‚Šใพใ™ใ€‚ๆ–ฐ่ฆใƒฆใƒผใ‚ถใƒผใซใฏๅŠนใใŒๆ—ขๅญ˜ใซใฏๅŠนใ‹ใชใ„ใ€ไฝŽ้ ปๅบฆๅฑคใซใฏๅŠนใใŒ้ซ˜้ ปๅบฆๅฑคใซใฏๅŠนใ‹ใชใ„ใ€ใจใ„ใ†ๅฝขใงๅŠนๆžœใŒ็•ฐใชใ‚‹ใ“ใจใฏ็ใ—ใใ‚ใ‚Šใพใ›ใ‚“ใ€‚ๅ€‹ๅˆฅใฎๅŠนๆžœใ‚’็›ดๆŽฅๅฝ“ใฆใซใ„ใใฎใฏ้›ฃใ—ใ„ใจใ—ใฆใ‚‚ใ€ๅฐ‘ใชใใจใ‚‚ใ‚ปใ‚ฐใƒกใƒณใƒˆๅˆฅใซๅŠนๆžœใŒ้•ใ†ๅฏ่ƒฝๆ€งใ‚’่ฆ–้‡Žใซๅ…ฅใ‚Œใฆ่จญ่จˆใ™ใ‚‹ใ ใ‘ใงใ€ๅ› ๆžœๆŽจ่ซ–ใฏๆ„ๆ€ๆฑบๅฎšใฎ็ฒพๅบฆใ‚’ไธŠใ’ใฆใใ‚Œใพใ™ใ€‚

่ฆณๅฏŸใƒ‡ใƒผใ‚ฟใงๅ› ๆžœใ‚’ๆŽจๅฎšใ™ใ‚‹ไปฃ่กจ็š„ใ‚ขใƒ—ใƒญใƒผใƒ

็†ๆƒณใฏใƒฉใƒณใƒ€ใƒ ๅŒ–ๆฏ”่ผƒๅฎŸ้จ“ใ€ใคใพใ‚ŠA/Bใƒ†ใ‚นใƒˆใงใ™ใ€‚ใƒฉใƒณใƒ€ใƒ ใซๅ‰ฒใ‚Šไป˜ใ‘ใ‚‹ใ“ใจใงใ€ไบค็ตกใŒๅนณๅ‡็š„ใซๆ‰“ใกๆถˆใ•ใ‚Œใ€ใ€Œๆ–ฝ็ญ–ใ‚’ใ‚„ใฃใŸ็พคใ€ใจใ€Œใ‚„ใ‚‰ใชใ‹ใฃใŸ็พคใ€ใŒๅๅฎŸไปฎๆƒณใฎไปฃ็†ใจใ—ใฆๆˆ็ซ‹ใ—ใ‚„ใ™ใใชใ‚Šใพใ™ใ€‚ใŸใ ใ—็พๅฎŸใซใฏใ€ๅ€ซ็†็š„ใƒป้‹็”จ็š„ใƒปใ‚ณใ‚นใƒˆ็š„ใช็†็”ฑใงใƒฉใƒณใƒ€ใƒ ๅŒ–ใงใใชใ„ใ“ใจใŒๅคšใ„ใงใ™ใ€‚ใใ“ใง่ฆณๅฏŸใƒ‡ใƒผใ‚ฟใ‹ใ‚‰ๅ› ๆžœใ‚’ๆŽจๅฎšใ™ใ‚‹ใ‚ขใƒ—ใƒญใƒผใƒใŒ็™ปๅ ดใ—ใพใ™ใ€‚ๅคงไบ‹ใชใฎใฏใ€ใฉใฎๆ‰‹ๆณ•ใ‚‚ใ€Œใ“ใ†ใ„ใ†ๅ‰ๆใŒๆˆใ‚Š็ซ‹ใคใชใ‚‰ใ€ๅๅฎŸไปฎๆƒณใ‚’ใใ‚Œใชใ‚Šใซไฝœใ‚Œใ‚‹ใ€ใจใ„ใ†ๆกไปถไป˜ใใฎ้“ๅ…ทใ ใจใ„ใ†็‚นใงใ™ใ€‚ๅ‰ๆใŒๅดฉใ‚ŒใŸใ‚‰ใ€ๆŽจๅฎš็ตๆžœใ‚‚ๅดฉใ‚Œใพใ™ใ€‚

ๆœ€ใ‚‚ๅŸบๆœฌ็š„ใชใฎใฏๅ…ฑๅค‰้‡่ชฟๆ•ดใงใ™ใ€‚ๆ–ฝ็ญ–็พคใจๅฏพ็…ง็พคใง้•ใ„ใใ†ใช็‰นๅพด้‡ใ‚’้›†ใ‚ใ€ๅ›žๅธฐใชใฉใง่ชฟๆ•ดใ—ใฆๅทฎใ‚’ๆŽจๅฎšใ—ใพใ™ใ€‚็›ดๆ„Ÿ็š„ใงใ™ใŒใ€่ชฟๆ•ดใซๅ…ฅใฃใฆใ„ใชใ„ๆœช่ฆณๆธฌใฎ่ฆๅ› ใŒไบค็ตกใจใ—ใฆๆฎ‹ใ‚‹ใจใ€็ต่ซ–ใŒ็ฐกๅ˜ใซๆญชใฟใพใ™ใ€‚ใ•ใ‚‰ใซใ€่ชฟๆ•ดใ™ในใๅค‰ๆ•ฐใจใ€่ชฟๆ•ดใ—ใฆใฏใ„ใ‘ใชใ„ๅค‰ๆ•ฐใŒใ‚ใ‚‹็‚นใซใ‚‚ๆณจๆ„ใŒๅฟ…่ฆใงใ™ใ€‚ๆ–ฝ็ญ–ใซใ‚ˆใฃใฆๅค‰ๅŒ–ใ™ใ‚‹ไธญ้–“ๅค‰ๆ•ฐใ‚’่ชฟๆ•ดใ—ใฆใ—ใพใ†ใจใ€ๆ–ฝ็ญ–ๅŠนๆžœใฎไธ€้ƒจใ‚’ๆถˆใ—ใฆใ—ใพใ†ๅฏ่ƒฝๆ€งใŒใ‚ใ‚‹ใ‹ใ‚‰ใงใ™ใ€‚ใ“ใ“ใฏๅ› ๆžœใ‚ฐใƒฉใƒ•ใฎ็™บๆƒณใŒๅฝนใซ็ซ‹ใกใพใ™ใ€‚ๆ–ฝ็ญ–โ†’๏ผˆไธญ้–“๏ผ‰โ†’็ตๆžœใฎ็Ÿขๅฐใฎ้€”ไธญใ‚’ๆถˆใ™ใ‚ˆใ†ใช่ชฟๆ•ดใฏๅฑใชใ„ใ€ใจใ„ใ†็›ดๆ„Ÿใ‚’ๆŒใฃใฆใŠใใจไบ‹ๆ•…ใŒๆธ›ใ‚Šใพใ™ใ€‚

ๆฌกใซใ‚ˆใไฝฟใ‚ใ‚Œใ‚‹ใฎใŒๅ‚พๅ‘ใ‚นใ‚ณใ‚ขใงใ™ใ€‚ใ“ใ‚Œใฏใ€ŒใใฎไบบใŒๆ–ฝ็ญ–ใ‚’ๅ—ใ‘ใ‚‹็ขบ็އใ€ใ‚’็‰นๅพด้‡ใ‹ใ‚‰ๆŽจๅฎšใ—ใ€ๆ–ฝ็ญ–็พคใจๅฏพ็…ง็พคใŒไผผใŸ็ขบ็އๅˆ†ๅธƒใซใชใ‚‹ใ‚ˆใ†ใซใƒžใƒƒใƒใƒณใ‚ฐใ—ใŸใ‚Š้‡ใฟไป˜ใ‘ใ—ใŸใ‚Šใ—ใฆๆฏ”่ผƒๅฏ่ƒฝๆ€งใ‚’ไธŠใ’ใพใ™ใ€‚ๅ‚พๅ‘ใ‚นใ‚ณใ‚ขใฎ้ญ…ๅŠ›ใฏใ€็‰นๅพด้‡ใŒๅคšใใฆใ‚‚ใ€Œไธ€ใคใฎใ‚นใ‚ณใ‚ขใ€ใซ่ฆ็ด„ใ—ใฆใƒใƒฉใƒณใ‚นใ‚’ๅ–ใ‚Šใซใ„ใ‘ใ‚‹ใ“ใจใงใ™ใ€‚ใŸใ ใ—ใ€็ตๅฑ€ใฏ่ฆณๆธฌใ•ใ‚ŒใŸ็‰นๅพด้‡ใงใ—ใ‹ใƒใƒฉใƒณใ‚นใ‚’ๅ–ใ‚Œใชใ„ใฎใงใ€ๆœช่ฆณๆธฌไบค็ตกใซใฏๅผฑใ„ใงใ™ใ€‚ใพใŸใ€ๆฅต็ซฏใซๆ–ฝ็ญ–ใ‚’ๅ—ใ‘ใ‚„ใ™ใ„ไบบใจๅ—ใ‘ใซใใ„ไบบใŒๆททใ–ใ‚‹ใจใ€้‡ใฟใŒๆšดใ‚ŒใฆๆŽจๅฎšใŒไธๅฎ‰ๅฎšใซใชใ‚‹ใ“ใจใŒใ‚ใ‚Šใ€ๅฎŸๅ‹™ใงใฏใ‚นใ‚ณใ‚ขๅˆ†ๅธƒใฎ้‡ใชใ‚Š๏ผˆใ‚ชใƒผใƒใƒผใƒฉใƒƒใƒ—๏ผ‰ใ‚’ๅฟ…ใš็ขบ่ชใ—ใ€็„ก็†ใชไธ€่ˆฌๅŒ–ใ‚’้ฟใ‘ใ‚‹ๅฟ…่ฆใŒใ‚ใ‚Šใพใ™ใ€‚

ๆ™‚้–“ใฎๅ‰ๅพŒใ‚’ไฝฟใฃใฆๆŽจๅฎšใ™ใ‚‹ไปฃ่กจใŒๅทฎใฎๅทฎๅˆ†ใงใ™ใ€‚ไป‹ๅ…ฅๅ‰ๅพŒใงๆ–ฝ็ญ–็พคใจๅฏพ็…ง็พคใฎๅค‰ๅŒ–้‡ใ‚’ๆฏ”ในใ‚‹ใ“ใจใงใ€ๆ™‚้–“ใซไพๅญ˜ใ™ใ‚‹ๅ…ฑ้€šใฎ่ฆๅ› ใ‚’็›ธๆฎบใ—ใ‚ˆใ†ใจใ—ใพใ™ใ€‚ใŸใจใˆใฐไธ€้ƒจๅœฐๅŸŸใ ใ‘ใงๆ–ฐๆฉŸ่ƒฝใ‚’ๅ…ˆ่กŒๅฐŽๅ…ฅใ—ใ€ไป–ๅœฐๅŸŸใฏๆฎใˆ็ฝฎใใซใ—ใŸใจใใ€ๅฐŽๅ…ฅๅ‰ๅพŒใฎๅค‰ๅŒ–ใ‚’ๆฏ”่ผƒใ™ใ‚‹ใ“ใจใงใ€ๅญฃ็ฏ€ๆ€งใ‚„ๅธ‚ๅ ดๅ…จไฝ“ใฎๅค‰ๅ‹•ใ‚’ใ‚ใ‚‹็จ‹ๅบฆๅ–ใ‚Š้™คใ‘ใพใ™ใ€‚ใŸใ ใ—ๅทฎใฎๅทฎๅˆ†ใซใฏใ€ใ€Œใ‚‚ใ—ๆ–ฝ็ญ–ใŒใชใ‹ใฃใŸใ‚‰ไธก็พคใฏๅŒใ˜ใƒˆใƒฌใƒณใƒ‰ใงๅ‹•ใ„ใฆใ„ใŸใฏใšใ€ใจใ„ใ†ๅนณ่กŒใƒˆใƒฌใƒณใƒ‰ใฎๅ‰ๆใŒ่ฆใซใชใ‚Šใพใ™ใ€‚ๅฐŽๅ…ฅๅ‰ใฎใƒ‡ใƒผใ‚ฟใงใƒˆใƒฌใƒณใƒ‰ใŒ่ฟ‘ใ„ใ‹ใ‚’็ขบ่ชใ—ใŸใ‚Šใ€ๅฐŽๅ…ฅๅ‰ใฎๆ™‚็‚นใ‚’ไปฎใฎไป‹ๅ…ฅใจใ—ใฆใƒ†ใ‚นใƒˆใ™ใ‚‹ใชใฉใ€ๅ‰ๆใฎๅฆฅๅฝ“ๆ€งใƒใ‚งใƒƒใ‚ฏใŒ้‡่ฆใงใ™ใ€‚

้–พๅ€คใงๆฑบใพใ‚‹ๆ–ฝ็ญ–ใซๅ‘ใใฎใŒๅ›žๅธฐไธ้€ฃ็ถšใงใ™ใ€‚ใŸใจใˆใฐใ‚นใ‚ณใ‚ขใŒไธ€ๅฎšไปฅไธŠใฎใƒฆใƒผใ‚ถใƒผใ ใ‘ใซ็‰นๅ…ธใ‚’ไป˜ใ‘ใ‚‹ๅ ดๅˆใ€้–พๅ€คใฎใ™ใไธŠใจใ™ใไธ‹ใฎใƒฆใƒผใ‚ถใƒผใฏๆ€ง่ณชใŒไผผใฆใ„ใ‚‹ใจๆœŸๅพ…ใงใใพใ™ใ€‚ใใ“ใง้–พๅ€ค่ฟ‘ๅ‚ใ ใ‘ใ‚’่ฆ‹ใฆๅทฎใ‚’ๆŽจๅฎšใ—ใ€ๅฑ€ๆ‰€็š„ใชๅ› ๆžœๅŠนๆžœใ‚’ๅพ—ใพใ™ใ€‚ๅผทๅŠ›ใงใ™ใŒใ€็ต่ซ–ใฏ้–พๅ€ค่ฟ‘ๅ‚ใซ้™ๅฎšใ•ใ‚Œใ‚‹ใ“ใจใŒๅคšใใ€ๅ…จไฝ“ใธใฎไธ€่ˆฌๅŒ–ใซใฏๆณจๆ„ใŒๅฟ…่ฆใงใ™ใ€‚ใพใŸใ€ใ‚นใ‚ณใ‚ขใŒไบบ็‚บ็š„ใซๆ“ไฝœใ•ใ‚Œใฆใ„ใชใ„ใ‹ใ€้–พๅ€คใฎๆ‰‹ๅ‰ใงไธ่‡ช็„ถใชๅˆ†ๅธƒใซใชใฃใฆใ„ใชใ„ใ‹ใชใฉใ€ๅฅๅ…จๆ€งใƒใ‚งใƒƒใ‚ฏใŒๆฌ ใ‹ใ›ใพใ›ใ‚“ใ€‚

ๆœ€ๅพŒใซๆ“ไฝœๅค‰ๆ•ฐใจใ„ใ†่€ƒใˆๆ–นใ‚‚ใ‚ใ‚Šใพใ™ใ€‚ใ“ใ‚Œใฏใ€Œๆ–ฝ็ญ–ใ‚’ๅ—ใ‘ใ‚‹ใ‹ใฉใ†ใ‹ใซๅฝฑ้Ÿฟใ™ใ‚‹ใŒใ€็ตๆžœใซ็›ดๆŽฅๅฝฑ้Ÿฟใ—ใชใ„ๅค‰ๆ•ฐใ€ใ‚’ๅˆฉ็”จใ—ใฆๅ› ๆžœใ‚’ๅˆ‡ใ‚Šๅˆ†ใ‘ใ‚‹ใ‚ขใƒ—ใƒญใƒผใƒใงใ™ใ€‚ใŸใจใˆใฐๆ‹…ๅฝ“่€…ใฎๅ‰ฒใ‚Šๅฝ“ใฆใ€ใƒซใƒผใƒซใฎๅขƒ็•Œใ€้…้€่ท้›ขใชใฉใŒโ€œๆ–ฝ็ญ–ๅฎŸๆ–ฝใฎๆบใ‚‰ใŽโ€ใจใ—ใฆไฝฟใˆใ‚‹ๅ ดๅˆใŒใ‚ใ‚Šใพใ™ใ€‚ใŸใ ใ—ใ€ๆกไปถใ‚’ๆบ€ใŸใ™ๅค‰ๆ•ฐใ‚’่ฆ‹ใคใ‘ใ‚‹ใฎใŒ้›ฃใ—ใใ€ๆบ€ใŸใ—ใฆใ„ใ‚‹ใ‹ใ‚’ๅฎŒๅ…จใซ่จผๆ˜Žใ™ใ‚‹ใฎใ‚‚ๅฎนๆ˜“ใงใฏใ‚ใ‚Šใพใ›ใ‚“ใ€‚ใ ใ‹ใ‚‰ใ“ใใ€ๆ“ไฝœๅค‰ๆ•ฐใ‚’ไฝฟใ†ใจใใฏใ€ใชใœใใ‚ŒใŒ็ตๆžœใซ็›ดๆŽฅๅฝฑ้Ÿฟใ—ใชใ„ใจ่จ€ใˆใ‚‹ใฎใ‹ใ‚’ใ€ใƒ‡ใƒผใ‚ฟใจๆฅญๅ‹™็Ÿฅ่ญ˜ใฎไธกๆ–นใง่ชฌๆ˜Žใ™ใ‚‹ใ“ใจใŒๆฑ‚ใ‚ใ‚‰ใ‚Œใพใ™ใ€‚

ใ“ใฎใ‚ˆใ†ใซ่ฆณๅฏŸใƒ‡ใƒผใ‚ฟใฎๅ› ๆžœๆŽจ่ซ–ใฏใ€้ญ”ๆณ•ใฎใƒœใ‚ฟใƒณใงใฏใ‚ใ‚Šใพใ›ใ‚“ใ€‚ใฉใฎๆ‰‹ๆณ•ใ‚‚ใ€ŒๅๅฎŸไปฎๆƒณใฎไปฃ็†ใ‚’ไฝœใ‚‹ใŸใ‚ใฎๅทฅๅคซใ€ใงใ‚ใ‚Šใ€ๆˆ็ซ‹ๆกไปถใจ้™็•ŒใŒใ‚ปใƒƒใƒˆใงใ™ใ€‚ใ ใ‹ใ‚‰ใ“ใใ€ๆ‰‹ๆณ•ๅใ‚’่ฆšใˆใ‚‹ใ‚ˆใ‚Šๅ…ˆใซใ€ใ€Œ่‡ชๅˆ†ใฏใฉใฎๅๅฎŸไปฎๆƒณใ‚’ไปฃๆ›ฟใ—ใ‚ˆใ†ใจใ—ใฆใ„ใ‚‹ใฎใ‹ใ€ใ‚’่จ€่ชžๅŒ–ใ™ใ‚‹ใ“ใจใŒๅคงๅˆ‡ใงใ™ใ€‚

ๅฎŸๅ‹™ใงๅคฑๆ•—ใ—ใชใ„ใŸใ‚ใฎ่จญ่จˆใจๆคœ่จผใฎๆ‰‹้ †

ๅ› ๆžœๆŽจ่ซ–ใงๆœ€ใ‚‚ๅทฎใŒใคใใฎใฏใ€ใƒขใƒ‡ใƒซ้ธใณใงใฏใชใใ€ๅ•ใ„ใฎๅˆ‡ใ‚Šๆ–นใจ่จญ่จˆใงใ™ใ€‚ๆœ€ๅˆใซใ‚„ใ‚‹ในใใฏใ€็›ฎ็š„ใ‚’ๅ…ทไฝ“ๅŒ–ใ™ใ‚‹ใ“ใจใงใ™ใ€‚ใ€Œใ‚ญใƒฃใƒณใƒšใƒผใƒณใฏๅŠนใ„ใŸใ‹ใ€ใงใฏใชใใ€ใ€Œใ‚ญใƒฃใƒณใƒšใƒผใƒณใฏๆ–ฐ่ฆใฎๅˆๅ›ž่ณผๅ…ฅใ‚’ใฉใ‚Œใ ใ‘ๆŠผใ—ไธŠใ’ใŸใ‹ใ€ใ€Œๆ—ขๅญ˜ใฎใƒชใƒ”ใƒผใƒˆ้–“้š”ใ‚’ใฉใ‚Œใ ใ‘็Ÿญใใ—ใŸใ‹ใ€ใ€ŒๅŠนๆžœใฏ้…ๅธƒๅพŒไฝ•ๆ—ฅใพใง็ถšใใ‹ใ€ใจใ„ใ†ๅฝขใซ่ฝใจใ—ใพใ™ใ€‚ใ‚ขใ‚ฆใƒˆใ‚ซใƒ ใŒๅค‰ใ‚ใ‚Œใฐใ€ๅฟ…่ฆใช่ฆณๆธฌๆœŸ้–“ใ‚‚ใ€ไบค็ตกใฎๅ€™่ฃœใ‚‚ๅค‰ใ‚ใ‚‹ใ‹ใ‚‰ใงใ™ใ€‚

ๆฌกใซใ€ๅ‡ฆ็ฝฎใฎๅฎš็พฉใ‚’ๆ›–ๆ˜งใซใ—ใชใ„ใ“ใจใŒ้‡่ฆใงใ™ใ€‚ใ‚ฏใƒผใƒใƒณ้…ๅธƒใ‚’ๅ‡ฆ็ฝฎใจใ™ใ‚‹ใฎใ‹ใ€ใ‚ฏใƒผใƒใƒณใฎ้–ฒ่ฆงใ‚’ๅ‡ฆ็ฝฎใจใ™ใ‚‹ใฎใ‹ใ€ๅˆฉ็”จใ‚’ๅ‡ฆ็ฝฎใจใ™ใ‚‹ใฎใ‹ใงใ€่งฃ้‡ˆใŒๅ…จใๅค‰ใ‚ใ‚Šใพใ™ใ€‚้…ๅธƒใฏ้‹็”จไธŠใ‚ณใƒณใƒˆใƒญใƒผใƒซใ—ใ‚„ใ™ใ„ใงใ™ใŒใ€ๅŠนๆžœใŒ่–„ใ่ฆ‹ใˆใ‚‹ใ“ใจใŒใ‚ใ‚Šใ€ๅˆฉ็”จใฏๅŠนๆžœใŒๅคงใใ่ฆ‹ใˆใพใ™ใŒ่‡ชๅทฑ้ธๆŠžใŒๅผทใไบค็ตกใŒๅข—ใˆใพใ™ใ€‚ใ“ใ“ใงใฎๆฑบๅฎšใฏใ€ๅˆ†ๆžใฎ้ƒฝๅˆใงใฏใชใใ€Œๆ„ๆ€ๆฑบๅฎšใงๅค‰ใˆใ‚‰ใ‚Œใ‚‹ใƒฌใƒใƒผใฏไฝ•ใ‹ใ€ใซๅˆใ‚ใ›ใ‚‹ใฎใŒ็ญ‹ใงใ™ใ€‚

ใใฎใ†ใˆใงใ€ๆฏ”่ผƒ็›ธๆ‰‹ใ‚’ใฉใ†ไฝœใ‚‹ใ‹ใ‚’้ธใณใพใ™ใ€‚ใƒฉใƒณใƒ€ใƒ ๅŒ–ใงใใ‚‹ใชใ‚‰A/Bใƒ†ใ‚นใƒˆใŒ็ฌฌไธ€ๅ€™่ฃœใงใ™ใ€‚ใงใใชใ„ๅ ดๅˆใฏใ€ไธŠใง่ฟฐในใŸ่ฆณๅฏŸใƒ‡ใƒผใ‚ฟๆ‰‹ๆณ•ใฎไธญใ‹ใ‚‰ใ€ๆฅญๅ‹™ใฎไป•็ต„ใฟใซๅˆใ†ใ‚‚ใฎใ‚’้ธใณใพใ™ใ€‚ใŸใจใˆใฐๅœฐๅŸŸใ”ใจใซๅฐŽๅ…ฅใ‚ฟใ‚คใƒŸใƒณใ‚ฐใŒ้•ใ†ใชใ‚‰ๅทฎใฎๅทฎๅˆ†ใŒ่‡ช็„ถใงใ™ใ—ใ€ใ‚นใ‚ณใ‚ข้–พๅ€คใงๆฑบใ‚ใฆใ„ใ‚‹ใชใ‚‰ๅ›žๅธฐไธ้€ฃ็ถšใŒๆคœ่จŽใงใใพใ™ใ€‚ใ“ใ“ใงๅคงไบ‹ใชใฎใฏใ€ใƒ‡ใƒผใ‚ฟใ ใ‘่ฆ‹ใฆๆฑบใ‚ใชใ„ใ“ใจใงใ™ใ€‚ๆ–ฝ็ญ–ใŒใฉใ†้‹็”จใ•ใ‚Œใฆใ„ใ‚‹ใ‹ใ€ใฉใ“ใงไพ‹ๅค–ใŒ่ตทใใ‚‹ใ‹ใ€ใฉใฎใ‚ˆใ†ใชๅˆคๆ–ญใง้…ใ‚‰ใ‚Œใฆใ„ใ‚‹ใ‹ใจใ„ใฃใŸ้‹็”จใฎ็†่งฃใŒใ€ๅ› ๆžœๆŽจ่ซ–ใฎ็ฒพๅบฆใ‚’ๅทฆๅณใ—ใพใ™ใ€‚

ๆคœ่จผใงใฏใ€ๆŽจๅฎšๅ€คใ ใ‘ใงใชใๅ‰ๆใฎใƒใ‚งใƒƒใ‚ฏใ‚’ๅฟ…ใš็ต„ใฟ่พผใฟใพใ™ใ€‚ๅ‚พๅ‘ใ‚นใ‚ณใ‚ขใชใ‚‰็พค้–“ใฎใƒใƒฉใƒณใ‚นใŒๆ•ดใฃใŸใ‹ใ€ๅทฎใฎๅทฎๅˆ†ใชใ‚‰ๅฐŽๅ…ฅๅ‰ใฎใƒˆใƒฌใƒณใƒ‰ใŒไผผใฆใ„ใŸใ‹ใ€ๅ›žๅธฐไธ้€ฃ็ถšใชใ‚‰้–พๅ€คไป˜่ฟ‘ใงไธ่‡ช็„ถใชๆ“ไฝœใŒใชใ„ใ‹ใ€ใจใ„ใฃใŸ็ขบ่ชใŒๅฟ…่ฆใงใ™ใ€‚ใ•ใ‚‰ใซใ€ๆ„Ÿๅบฆๅˆ†ๆžใจใ—ใฆใ€Œใ‚‚ใ—ๆœช่ฆณๆธฌไบค็ตกใŒใ“ใ‚Œใใ‚‰ใ„ใ‚ใฃใŸใ‚‰็ต่ซ–ใŒ่ฆ†ใ‚‹ใ‹ใ€ใ‚’ๆคœ่จŽใ™ใ‚‹ๅงฟๅ‹ขใ‚‚้‡่ฆใงใ™ใ€‚ๅ› ๆžœๆŽจ่ซ–ใฏโ€œๆญฃ่งฃโ€ใ‚’็ด„ๆŸใ™ใ‚‹ใ‚‚ใฎใงใฏใชใใ€โ€œๆญฃใ—ใ•ใฎๆ นๆ‹ ใจๅผฑ็‚นโ€ใ‚’ๆ˜Ž็ขบใซใ™ใ‚‹ใ“ใจใงๆ„ๆ€ๆฑบๅฎšใฎ่ณชใ‚’ไธŠใ’ใ‚‹้“ๅ…ทใ ใ‹ใ‚‰ใงใ™ใ€‚

ๆœ€ๅพŒใซใ€็ตๆžœใ‚’ๆ„ๆ€ๆฑบๅฎšใซๆŽฅ็ถšใ—ใพใ™ใ€‚็‚นๆŽจๅฎšใ ใ‘ใงใ€ŒๅŠนใ„ใŸใ€ใ€ŒๅŠนใ‹ใชใ‹ใฃใŸใ€ใจๆ–ญใ˜ใ‚‹ใฎใงใฏใชใใ€ๅŠนๆžœใฎไธ็ขบๅฎŸๆ€งใ‚’็คบใ—ใชใŒใ‚‰ใ€ใƒ“ใ‚ธใƒใ‚นไธŠใฎๆ็›Šใซๅค‰ๆ›ใ—ใฆๅˆคๆ–ญใ—ใพใ™ใ€‚ใŸใจใˆใฐๅนณๅ‡ๅŠนๆžœใŒๅฐใ•ใ่ฆ‹ใˆใฆใ‚‚ใ€ๅฏพ่ฑกไบบๆ•ฐใŒๅคงใใ‘ใ‚Œใฐ็ทๅŠนๆžœใฏๅคงใใ„ใ‹ใ‚‚ใ—ใ‚Œใพใ›ใ‚“ใ—ใ€้€†ใซๅŠนๆžœใŒๅคงใใ่ฆ‹ใˆใฆใ‚‚็‰นๅฎšใฎๅใฃใŸๅฑคใงใ—ใ‹ๆˆ็ซ‹ใ—ใฆใ„ใชใ„ใชใ‚‰ใ€ๆ‹กๅคงใ™ใ‚‹ใจๅดฉใ‚Œใ‚‹ใ‹ใ‚‚ใ—ใ‚Œใพใ›ใ‚“ใ€‚ใ“ใ†ใ—ใŸ่ชญใฟใ‚’ๆ”ฏใˆใ‚‹ใฎใŒใ€ๅ› ๆžœๆŽจ่ซ–ใฎ่จญ่จˆใƒปๅ‰ๆใƒใ‚งใƒƒใ‚ฏใƒปๆ„Ÿๅบฆๅˆ†ๆžใฎไธ€ไฝ“้‹็”จใงใ™ใ€‚

ๅ› ๆžœๆŽจ่ซ–ใฏใ€็›ธ้–ขใซ้ฃ›ใณใคใ‹ใชใ„ใŸใ‚ใฎใƒ–ใƒฌใƒผใ‚ญใงใ‚ใ‚Šใ€ๆ–ฝ็ญ–ใ‚’ๆ”นๅ–„ใ—็ถšใ‘ใ‚‹ใŸใ‚ใฎใƒใƒณใƒ‰ใƒซใงใ‚‚ใ‚ใ‚Šใพใ™ใ€‚ๅˆ†ๆž็ตๆžœใ‚’ไธ€ๆžš็ตตใง็ต‚ใ‚ใ‚‰ใ›ใšใ€ใ€Œใฉใ†ใ„ใ†ๅ‰ๆใงใ€ใฉใฎ็ฏ„ๅ›ฒใซใ€ใฉใ‚Œใใ‚‰ใ„ๅŠนใ„ใŸใจ่จ€ใˆใ‚‹ใฎใ‹ใ€ใ‚’่จ€่‘‰ใง่ชฌๆ˜Žใงใใ‚‹็Šถๆ…‹ใพใงๆŒใฃใฆใ„ใใ“ใจใŒใ€ๆœ€็ต‚็š„ใชไพกๅ€คใซใชใ‚Šใพใ™ใ€‚

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