{"id":37616,"date":"2024-10-17T11:22:01","date_gmt":"2024-10-17T04:22:01","guid":{"rendered":"https:\/\/lacviet.vn\/?p=37616"},"modified":"2025-04-15T09:55:29","modified_gmt":"2025-04-15T02:55:29","slug":"ung-dung-tri-tue-nhan-tao","status":"publish","type":"post","link":"https:\/\/lacviet.vn\/en\/ung-dung-tri-tue-nhan-tao\/","title":{"rendered":"7 apps artificial intelligence on the field, economic life, in fact"},"content":{"rendered":"\t\t
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Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI)<\/a> \u0111ang ng\u00e0y c\u00e0ng tr\u1edf th\u00e0nh y\u1ebfu t\u1ed1 c\u1ed1t l\u00f5i trong s\u1ef1 ph\u00e1t tri\u1ec3n c\u1ee7a nhi\u1ec1u l\u0129nh v\u1ef1c c\u00f4ng nghi\u1ec7p v\u00e0 x\u00e3 h\u1ed9i. T\u1eeb t\u00e0i ch\u00ednh, n\u00f4ng nghi\u1ec7p \u0111\u1ebfn s\u1ea3n xu\u1ea5t, ch\u0103m s\u00f3c s\u1ee9c kh\u1ecfe, AI kh\u00f4ng ch\u1ec9 mang l\u1ea1i nh\u1eefng c\u1ea3i ti\u1ebfn v\u01b0\u1ee3t b\u1eadc v\u1ec1 hi\u1ec7u su\u1ea5t, m\u00e0 c\u00f2n m\u1edf ra nh\u1eefng c\u01a1 h\u1ed9i ho\u00e0n to\u00e0n m\u1edbi trong qu\u1ea3n l\u00fd v\u1eadn h\u00e0nh. Trong b\u1ed1i c\u1ea3nh c\u00f4ng ngh\u1ec7 ph\u00e1t tri\u1ec3n nhanh ch\u00f3ng, vi\u1ec7c hi\u1ec3u r\u00f5 c\u00e1c \u1ee9ng d\u1ee5ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o<\/strong> trong t\u1eebng l\u0129nh v\u1ef1c s\u1ebd gi\u00fap doanh nghi\u1ec7p, c\u00e1 nh\u00e2n kh\u00f4ng ch\u1ec9 b\u1eaft k\u1ecbp xu h\u01b0\u1edbng m\u00e0 c\u00f2n \u0111\u00f3n \u0111\u1ea7u t\u01b0\u01a1ng lai s\u1ed1 h\u00f3a \u0111\u1ea7y ti\u1ec1m n\u0103ng. C\u00f9ng L\u1ea1c Vi\u1ec7t<\/a> t\u00ecm hi\u1ec3u chi ti\u1ebft trong b\u00e0i vi\u1ebft n\u00e0y.<\/p>

1. \u1ee8ng d\u1ee5ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o AI trong y t\u1ebf ch\u0103m s\u00f3c s\u1ee9c kh\u1ecfe<\/h2>

1.1 Ch\u1ea9n \u0111o\u00e1n \u0111i\u1ec1u tr\u1ecb b\u1ec7nh<\/h3>

AI \u0111\u00e3 t\u1ea1o ra b\u01b0\u1edbc \u0111\u1ed9t ph\u00e1 l\u1edbn trong l\u0129nh v\u1ef1c y t\u1ebf, \u0111\u1eb7c bi\u1ec7t l\u00e0 trong vi\u1ec7c ch\u1ea9n \u0111o\u00e1n\u00a0 \u0111i\u1ec1u tr\u1ecb b\u1ec7nh. V\u1edbi kh\u1ea3 n\u0103ng x\u1eed l\u00fd d\u1eef li\u1ec7u nhanh ch\u00f3ng, c\u00e1c h\u1ec7 th\u1ed1ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o c\u00f3 th\u1ec3 ph\u00e2n t\u00edch h\u00e0ng tri\u1ec7u h\u00ecnh \u1ea3nh y khoa t\u1eeb X-quang, CT Scan, MRI \u0111\u1ec3 ph\u00e1t hi\u1ec7n c\u00e1c b\u1ea5t th\u01b0\u1eddng, gi\u00fap ch\u1ea9n \u0111o\u00e1n b\u1ec7nh ch\u00ednh x\u00e1c h\u01a1n. Theo m\u1ed9t nghi\u00ean c\u1ee9u c\u1ee7a \u0110\u1ea1i h\u1ecdc Stanford, AI \u0111\u00e3 \u0111\u1ea1t \u0111\u1ed9 ch\u00ednh x\u00e1c \u0111\u1ebfn 94% trong vi\u1ec7c ph\u00e1t hi\u1ec7n ung th\u01b0 da, v\u01b0\u1ee3t qua m\u1ee9c 86% c\u1ee7a c\u00e1c chuy\u00ean gia y khoang h\u1ed7 tr\u1ee3 d\u1ef1 \u0111o\u00e1n c\u00e1c r\u1ee7i ro b\u1ec7nh t\u1eadt d\u1ef1a tr\u00ean d\u1eef li\u1ec7u sinh h\u1ecdc.<\/p>

1.2 Tr\u1ee3 l\u00fd \u1ea3o y t\u1ebf<\/h3>

\u1ee8ng d\u1ee5ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o \u0111\u1ec3 ph\u00e1t tri\u1ec3n c\u00e1c tr\u1ee3 l\u00fd \u1ea3o y t\u1ebf \u0111ang ng\u00e0y c\u00e0ng ph\u1ed5 bi\u1ebfn \u0111\u1ec3 h\u1ed7 tr\u1ee3 ng\u01b0\u1eddi b\u1ec7nh theo d\u00f5i s\u1ee9c kh\u1ecfe h\u00e0ng ng\u00e0y. C\u00e1c \u1ee9ng d\u1ee5ng nh\u01b0 Babylon Health hay Ada Health gi\u00fap ng\u01b0\u1eddi d\u00f9ng t\u1ef1 ki\u1ec3m tra c\u00e1c tri\u1ec7u ch\u1ee9ng, \u0111\u01b0a ra l\u1eddi khuy\u00ean gi\u00fap ti\u1ebft ki\u1ec7m th\u1eddi gian, c\u00f4ng s\u1ee9c so v\u1edbi vi\u1ec7c \u0111\u1ebfn b\u1ec7nh vi\u1ec7n. Tr\u1ee3 l\u00fd AI c\u0169ng c\u00f3 th\u1ec3 nh\u1eafc nh\u1edf ng\u01b0\u1eddi b\u1ec7nh u\u1ed1ng thu\u1ed1c \u0111\u00fang gi\u1edd, h\u1eb9n l\u1ecbch kh\u00e1m, theo d\u00f5i c\u00e1c ch\u1ec9 s\u1ed1 s\u1ee9c kh\u1ecfe nh\u01b0 huy\u1ebft \u00e1p, nh\u1ecbp tim. Theo b\u00e1o c\u00e1o c\u1ee7a Frost & Sullivan, th\u1ecb tr\u01b0\u1eddng tr\u1ee3 l\u00fd \u1ea3o y t\u1ebf d\u1ef1 ki\u1ebfn s\u1ebd t\u0103ng tr\u01b0\u1edfng v\u1edbi t\u1ed1c \u0111\u1ed9 35% h\u00e0ng n\u0103m, \u0111\u1ea1t gi\u00e1 tr\u1ecb 4,4 t\u1ef7 USD v\u00e0o n\u0103m 2027 .<\/p>

\"\u1ee8ng
Tr\u1ee3 l\u00fd \u1ea3o y t\u1ebf \u0111ang ng\u00e0y c\u00e0ng ph\u1ed5 bi\u1ebfn \u0111\u1ec3 h\u1ed7 tr\u1ee3 ng\u01b0\u1eddi b\u1ec7nh theo d\u00f5i s\u1ee9c kh\u1ecfe h\u00e0ng ng\u00e0y.<\/figcaption><\/figure>

1.3 Ph\u00e1t tri\u1ec3n thu\u1ed1c<\/h3>

\u1ee8ng d\u1ee5ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o \u0111\u00e3 v\u00e0 \u0111ang g\u00f3p ph\u1ea7n r\u00fat ng\u1eafn qu\u00e1 tr\u00ecnh ph\u00e1t tri\u1ec3n thu\u1ed1c, m\u1ed9t quy tr\u00ecnh th\u01b0\u1eddng k\u00e9o d\u00e0i h\u00e0ng n\u0103m\u00a0 t\u1ed1n k\u00e9m h\u00e0ng t\u1ef7 USD. AI c\u00f3 kh\u1ea3 n\u0103ng ph\u00e2n t\u00edch h\u00e0ng tri\u1ec7u d\u1eef li\u1ec7u li\u00ean quan \u0111\u1ebfn c\u1ea5u tr\u00fac h\u00f3a h\u1ecdc, c\u01a1 ch\u1ebf t\u00e1c d\u1ee5ng c\u1ee7a thu\u1ed1c, k\u1ebft qu\u1ea3 l\u00e2m s\u00e0ng \u0111\u1ec3 d\u1ef1 \u0111o\u00e1n c\u00e1c h\u1ee3p ch\u1ea5t c\u00f3 ti\u1ec1m n\u0103ng tr\u1edf th\u00e0nh thu\u1ed1c m\u1edbi.<\/p>

V\u00ed d\u1ee5, c\u00f4ng ty d\u01b0\u1ee3c ph\u1ea9m Insilico Medicine \u0111\u00e3 s\u1eed d\u1ee5ng AI \u0111\u1ec3 ph\u00e1t hi\u1ec7n ra m\u1ed9t lo\u1ea1i thu\u1ed1c ch\u1ed1ng x\u01a1 c\u1ee9ng da trong v\u00f2ng 46 ng\u00e0y – m\u1ed9t b\u01b0\u1edbc ti\u1ebfn v\u01b0\u1ee3t b\u1eadc so v\u1edbi quy tr\u00ecnh truy\u1ec1n th\u1ed1ng . AI kh\u00f4ng ch\u1ec9 gii ph\u00ed m\u00e0 c\u00f2n t\u0103ng kh\u1ea3 n\u0103ng t\u00ecm ra nh\u1eefng h\u1ee3p ch\u1ea5t hi\u1ec7u qu\u1ea3 h\u01a1n trong \u0111i\u1ec1u tr\u1ecb b\u1ec7nh.<\/p>

2. \u1ee8ng d\u1ee5ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o trong gi\u00e1o d\u1ee5c<\/h2>

2.1 C\u00e1 nh\u00e2n h\u00f3a h\u1ecdc t\u1eadp<\/h3>

AI \u0111ang thay \u0111\u1ed5i c\u00e1ch h\u1ecdc t\u1eadp c\u1ee7a h\u1ecdc sinh sinh vi\u00ean b\u1eb1ng c\u00e1ch c\u00e1 nh\u00e2n h\u00f3a l\u1ed9 tr\u00ecnh h\u1ecdc. C\u00e1c h\u1ec7 th\u1ed1ng h\u1ecdc t\u1eadp th\u00f4ng minh nh\u01b0 DreamBox, Knewton, hay Coursera s\u1eed d\u1ee5ng AI \u0111\u1ec3 \u0111i\u1ec1u ch\u1ec9nh n\u1ed9i dung h\u1ecdc d\u1ef1a tr\u00ean n\u0103ng l\u1ef1c c\u1ee7a t\u1eebng ng\u01b0\u1eddi. V\u00ed d\u1ee5, n\u1ebfu m\u1ed9t h\u1ecdc sinh g\u1eb7p kh\u00f3 kh\u0103n v\u1edbi m\u1ed9t kh\u00e1i ni\u1ec7m c\u1ee5 th\u1ec3, h\u1ec7 th\u1ed1ng s\u1ebd cung c\u1ea5p th\u00eam b\u00e0i t\u1eadp, gi\u1ea3i th\u00edch b\u1ed5 sung cho \u0111\u1ebfn khi h\u1ecd n\u1eafm v\u1eefng.<\/p>

2.2 Tr\u1ee3 l\u00fd h\u1ecdc t\u1eadp \u1ea3o<\/h3>

AI trong gi\u00e1o d\u1ee5c c\u0169ng xu\u1ea5t hi\u1ec7n d\u01b0\u1edbi h\u00ecnh th\u1ee9c tr\u1ee3 l\u00fd h\u1ecdc t\u1eadp \u1ea3o gi\u00fap h\u1ecdc sinh sinh vi\u00ean gi\u1ea3i \u0111\u00e1p th\u1eafc m\u1eafc, \u00f4n t\u1eadp ki\u1ebfn th\u1ee9c m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3. Chatbot AI c\u00f3 th\u1ec3 tr\u1ea3 l\u1eddi c\u00e1c c\u00e2u h\u1ecfi c\u01a1 b\u1ea3n v\u1ec1 b\u00e0i gi\u1ea3ng, h\u01b0\u1edbng d\u1eabn l\u00e0m b\u00e0i t\u1eadp th\u1eadm ch\u00ed \u0111\u01b0a ra c\u00e1c g\u1ee3i \u00fd v\u1ec1 l\u1ed9 tr\u00ecnh h\u1ecdc ti\u1ebfp theo.<\/p>

V\u00ed d\u1ee5, h\u1ec7 th\u1ed1ng tutor AI nh\u01b0 Squirrel AI \u0111\u00e3 \u0111\u01b0\u1ee3c tri\u1ec3n khai th\u00e0nh c\u00f4ng \u1edf Trung Qu\u1ed1c \u0111\u1ec3 gi\u00fap h\u1ecdc sinh c\u1ea3i thi\u1ec7n \u0111i\u1ec3m s\u1ed1 th\u00f4ng qua vi\u1ec7c cung c\u1ea5p b\u00e0i t\u1eadp v\u00e0 h\u01b0\u1edbng d\u1eabn c\u00e1 nh\u00e2n h\u00f3a. M\u1ed9t nghi\u00ean c\u1ee9u ch\u1ec9 ra r\u1eb1ng, h\u1ecdc sinh s\u1eed d\u1ee5ng tr\u1ee3 l\u00fd AI \u0111\u00e3 t\u0103ng \u0111i\u1ec3m s\u1ed1 trung b\u00ecnh l\u00ean 30% so v\u1edbi nh\u00f3m kh\u00f4ng s\u1eed d\u1ee5ng .<\/p>

2.3 Ph\u00e2n t\u00edch d\u1eef li\u1ec7u gi\u00e1o d\u1ee5c<\/h3>

AI gi\u00fap gi\u00e1o vi\u00ean ph\u00e2n t\u00edch d\u1eef li\u1ec7u v\u1ec1 s\u1ef1 ti\u1ebfn b\u1ed9 c\u1ee7a h\u1ecdc sinh \u0111\u1ec3 \u0111i\u1ec1u ch\u1ec9nh ph\u01b0\u01a1ng ph\u00e1p gi\u1ea3ng d\u1ea1y. V\u1edbi AI, c\u00e1c tr\u01b0\u1eddng h\u1ecdc c\u00f3 th\u1ec3 theo d\u00f5i \u0111\u01b0\u1ee3c hi\u1ec7u su\u1ea5t h\u1ecdc t\u1eadp c\u1ee7a t\u1eebng h\u1ecdc sinh, t\u1eeb \u0111\u00f3 ph\u00e1t hi\u1ec7n nh\u1eefng \u0111i\u1ec3m y\u1ebfu c\u1ea7n c\u1ea3i thi\u1ec7n. Theo m\u1ed9t b\u00e1o c\u00e1o c\u1ee7a McKinsey, c\u00e1c c\u00f4ng c\u1ee5 ph\u00e2n t\u00edch AI trong gi\u00e1o d\u1ee5c c\u00f3 th\u1ec3 c\u1ea3i thi\u1ec7n \u0111\u00e1ng k\u1ec3 hi\u1ec7u qu\u1ea3 gi\u1ea3ng d\u1ea1y, gi\u1ea3m 50% th\u1eddi gian gi\u00e1o vi\u00ean d\u00e0nh cho c\u00f4ng vi\u1ec7c qu\u1ea3n l\u00fd v\u00e0 \u0111\u00e1nh gi\u00e1 .<\/p>

3. \u1ee8ng d\u1ee5ng AI trong giao th\u00f4ng v\u00e0 v\u1eadn t\u1ea3i<\/h2>

3.1 Xe t\u1ef1 l\u00e1i<\/h3>

M\u1ed9t trong nh\u1eefng \u1ee9ng d\u1ee5ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o ti\u00ean ti\u1ebfn nh\u1ea5t trong giao th\u00f4ng l\u00e0 ph\u00e1t tri\u1ec3n xe t\u1ef1 l\u00e1i. C\u00f4ng ngh\u1ec7 AI s\u1eed d\u1ee5ng c\u00e1c thu\u1eadt to\u00e1n h\u1ecdc s\u00e2u (deep learning), m\u1ea1ng neuron nh\u00e2n t\u1ea1o (neural networks) \u0111\u1ec3 x\u1eed l\u00fd th\u00f4ng tin t\u1eeb c\u1ea3m bi\u1ebfn nh\u01b0 camera, radar, LIDAR. C\u00e1c h\u1ec7 th\u1ed1ng n\u00e0y gi\u00fap xe nh\u1eadn di\u1ec7n ch\u00ednh x\u00e1c m\u00f4i tr\u01b0\u1eddng xung quanh, t\u1eeb \u0111\u00f3 \u0111\u01b0a ra quy\u1ebft \u0111\u1ecbnh di chuy\u1ec3n an to\u00e0n.
V\u00ed d\u1ee5, Tesla \u0111\u00e3 t\u00edch h\u1ee3p h\u1ec7 th\u1ed1ng Autopilot AI v\u00e0o c\u00e1c d\u00f2ng xe \u0111i\u1ec7n, gi\u00fap xe t\u1ef1 \u0111\u1ed9ng duy tr\u00ec l\u00e0n \u0111\u01b0\u1eddng, \u0111i\u1ec1u ch\u1ec9nh t\u1ed1c \u0111\u1ed9 tr\u00e1nh va ch\u1ea1m.<\/p>

3.2 T\u1ed1i \u01b0u h\u00f3a logistics<\/h3>

AI \u0111\u00e3 t\u1ea1o ra s\u1ef1 c\u1ea3i ti\u1ebfn l\u1edbn trong l\u0129nh v\u1ef1c logistics b\u1eb1ng c\u00e1ch t\u1ed1i \u01b0u h\u00f3a tuy\u1ebfn \u0111\u01b0\u1eddng v\u1eadn chuy\u1ec3n, d\u1ef1 \u0111o\u00e1n nhu c\u1ea7u h\u00e0ng h\u00f3a. C\u00e1c c\u00f4ng ty s\u1eed d\u1ee5ng AI \u0111\u1ec3 d\u1ef1 b\u00e1o l\u01b0\u1ee3ng h\u00e0ng c\u1ea7n v\u1eadn chuy\u1ec3n, ph\u00e2n t\u00edch th\u1eddi gian giao h\u00e0ng, t\u1ed1i \u01b0u h\u00f3a c\u00e1c tuy\u1ebfn \u0111\u01b0\u1eddng gi\u00fap ti\u1ebft ki\u1ec7m chi ph\u00ed th\u1eddi gian. M\u1ed9t nghi\u00ean c\u1ee9u t\u1eeb MIT cho th\u1ea5y r\u1eb1ng vi\u1ec7c \u00e1p d\u1ee5ng AI v\u00e0o logistics c\u00f3 th\u1ec3 gi\u1ea3m t\u1edbi 15% chi ph\u00ed v\u1eadn chuy\u1ec3n, 25% th\u1eddi gian giao h\u00e0ng. Ch\u1eb3ng h\u1ea1n, DHL \u0111\u00e3 \u1ee9ng d\u1ee5ng AI v\u00e0o qu\u1ea3n l\u00fd chu\u1ed7i cung \u1ee9ng c\u1ee7a m\u00ecnh, gi\u00fap t\u0103ng hi\u1ec7u qu\u1ea3 v\u1eadn chuy\u1ec3n v\u00e0 c\u1ea3i thi\u1ec7n d\u1ecbch v\u1ee5 kh\u00e1ch h\u00e0ng. K\u1ebft qu\u1ea3 l\u00e0 c\u00f4ng ty \u0111\u00e3 gi\u1ea3m t\u1edbi 50% l\u01b0\u1ee3ng th\u1eddi gian x\u1eed l\u00fd \u0111\u01a1n h\u00e0ng.<\/p>

3.3 Qu\u1ea3n l\u00fd giao th\u00f4ng th\u00f4ng minh<\/h3>

AI c\u0169ng \u0111ang \u0111\u00f3ng vai tr\u00f2 quan tr\u1ecdng trong vi\u1ec7c ph\u00e1t tri\u1ec3n h\u1ec7 th\u1ed1ng giao th\u00f4ng th\u00f4ng minh. H\u1ec7 th\u1ed1ng \u0111i\u1ec1u khi\u1ec3n giao th\u00f4ng d\u1ef1a tr\u00ean AI s\u1eed d\u1ee5ng d\u1eef li\u1ec7u th\u1eddi gian th\u1ef1c t\u1eeb camera, c\u1ea3m bi\u1ebfn \u0111\u1ec3 t\u1ef1 \u0111\u1ed9ng \u0111i\u1ec1u ch\u1ec9nh \u0111\u00e8n giao th\u00f4ng gi\u00fap gi\u1ea3m t\u00ecnh tr\u1ea1ng \u00f9n t\u1eafc, tai n\u1ea1n.
M\u1ed9t v\u00ed d\u1ee5 \u0111i\u1ec3n h\u00ecnh l\u00e0 th\u00e0nh ph\u1ed1 Los Angeles, n\u01a1i \u0111\u00e3 tri\u1ec3n khai h\u1ec7 th\u1ed1ng qu\u1ea3n l\u00fd giao th\u00f4ng th\u00f4ng minh d\u1ef1a tr\u00ean AI, gi\u00fap gi\u1ea3m 12% th\u1eddi gian di chuy\u1ec3n c\u1ee7a ng\u01b0\u1eddi d\u00e2n trong th\u00e0nh ph\u1ed1.<\/p>

4. \u1ee8ng d\u1ee5ng AI trong th\u01b0\u01a1ng m\u1ea1i \u0111i\u1ec7n t\u1eed v\u00e0 b\u00e1n l\u1ebb<\/h2>

4.1 \u0110\u1ec1 xu\u1ea5t s\u1ea3n ph\u1ea9m c\u00e1 nh\u00e2n h\u00f3a<\/h3>

Trong th\u01b0\u01a1ng m\u1ea1i \u0111i\u1ec7n t\u1eed, \u1ee9ng d\u1ee5ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o gi\u00fap ph\u00e2n t\u00edch h\u00e0nh vi ng\u01b0\u1eddi d\u00f9ng \u0111\u1ec3 \u0111\u1ec1 xu\u1ea5t c\u00e1c s\u1ea3n ph\u1ea9m ph\u00f9 h\u1ee3p, t\u1eeb \u0111\u00f3 t\u0103ng c\u01b0\u1eddng tr\u1ea3i nghi\u1ec7m mua s\u1eafm c\u00e1 nh\u00e2n h\u00f3a. C\u00e1c h\u1ec7 th\u1ed1ng AI s\u1eed d\u1ee5ng d\u1eef li\u1ec7u t\u1eeb l\u01b0\u1ee3t t\u00ecm ki\u1ebfm, l\u1ecbch s\u1eed mua h\u00e0ng, c\u00e1c t\u01b0\u01a1ng t\u00e1c c\u1ee7a ng\u01b0\u1eddi d\u00f9ng \u0111\u1ec3 \u0111\u01b0a ra c\u00e1c g\u1ee3i \u00fd s\u1ea3n ph\u1ea9m.
M\u1ed9t v\u00ed d\u1ee5 \u0111i\u1ec3n h\u00ecnh l\u00e0 Amazon, n\u01a1i AI kh\u00f4ng ch\u1ec9 \u0111\u1ec1 xu\u1ea5t s\u1ea3n ph\u1ea9m m\u00e0 c\u00f2n d\u1ef1 \u0111o\u00e1n nhu c\u1ea7u c\u1ee7a ng\u01b0\u1eddi d\u00f9ng. Theo nghi\u00ean c\u1ee9u t\u1eeb McKinsey, c\u00e1c c\u00f4ng ty s\u1eed d\u1ee5ng h\u1ec7 th\u1ed1ng \u0111\u1ec1 xu\u1ea5t d\u1ef1a tr\u00ean AI c\u00f3 th\u1ec3 t\u0103ng doanh thu l\u00ean \u0111\u1ebfn 10-15%. Th\u1ecb tr\u01b0\u1eddng c\u00e1 nh\u00e2n h\u00f3a trong th\u01b0\u01a1ng m\u1ea1i \u0111i\u1ec7n t\u1eed c\u0169ng \u0111\u01b0\u1ee3c d\u1ef1 \u0111o\u00e1n s\u1ebd \u0111\u1ea1t gi\u00e1 tr\u1ecb 1,4 t\u1ef7 USD v\u00e0o n\u0103m 2027.<\/p>

4.2 Chatbot b\u00e1n h\u00e0ng<\/h3>

Chatbot AI<\/a> \u0111\u00e3 tr\u1edf th\u00e0nh m\u1ed9t c\u00f4ng c\u1ee5 kh\u00f4ng th\u1ec3 thi\u1ebfu trong vi\u1ec7c n\u00e2ng cao d\u1ecbch v\u1ee5 kh\u00e1ch h\u00e0ng cho c\u00e1c doanh nghi\u1ec7p th\u01b0\u01a1ng m\u1ea1i \u0111i\u1ec7n t\u1eed. Chatbot c\u00f3 kh\u1ea3 n\u0103ng h\u1ed7 tr\u1ee3 kh\u00e1ch h\u00e0ng 24\/7, gi\u1ea3i \u0111\u00e1p th\u1eafc m\u1eafc, t\u01b0 v\u1ea5n mua h\u00e0ng th\u1eadm ch\u00ed x\u1eed l\u00fd \u0111\u01a1n h\u00e0ng.<\/p>

\"\u1ee8ng
Chatbot c\u00f3 kh\u1ea3 n\u0103ng h\u1ed7 tr\u1ee3 kh\u00e1ch h\u00e0ng 24\/7<\/figcaption><\/figure>

Theo Gartner, 85% c\u00e1c t\u01b0\u01a1ng t\u00e1c d\u1ecbch v\u1ee5 kh\u00e1ch h\u00e0ng s\u1ebd \u0111\u01b0\u1ee3c th\u1ef1c hi\u1ec7n b\u1edfi AI v\u00e0o n\u0103m 2025. M\u1ed9t s\u1ed1 chat AI mi\u1ec5n ph\u00ed<\/a> n\u1ed5i b\u1eadt hi\u1ec7n nay nh\u01b0 ChatGPT, Google Assistant hay c\u00e1c chatbot chuy\u00ean d\u1ee5ng c\u1ee7a c\u00e1c n\u1ec1n t\u1ea3ng b\u00e1n h\u00e0ng tr\u1ef1c tuy\u1ebfn \u0111\u1ec1u gi\u00fap doanh nghi\u1ec7p t\u0103ng s\u1ef1 h\u00e0i l\u00f2ng c\u1ee7a kh\u00e1ch h\u00e0ng.<\/p>

Xem th\u00eam: L\u1ea1c Vi\u1ec7t ra m\u1eaft tr\u1ee3 l\u00fd \u1ea3o chatbot AI t\u00edch h\u1ee3p trong gi\u1ea3i ph\u00e1p qu\u1ea3n tr\u1ecb doanh nghi\u1ec7p LV-DX<\/a><\/p><\/blockquote>

4.3 T\u1ed1i \u01b0u h\u00f3a qu\u1ea3n l\u00fd kho h\u00e0ng<\/h3>

AI kh\u00f4ng ch\u1ec9 c\u1ea3i thi\u1ec7n tr\u1ea3i nghi\u1ec7m ng\u01b0\u1eddi mua m\u00e0 c\u00f2n gi\u00fap doanh nghi\u1ec7p t\u1ed1i \u01b0u h\u00f3a qu\u1ea3n l\u00fd kho h\u00e0ng. B\u1eb1ng c\u00e1ch ph\u00e2n t\u00edch d\u1eef li\u1ec7u v\u1ec1 h\u00e0nh vi mua s\u1eafm xu h\u01b0\u1edbng ti\u00eau d\u00f9ng, AI c\u00f3 th\u1ec3 d\u1ef1 \u0111o\u00e1n nhu c\u1ea7u s\u1ea3n ph\u1ea9m, t\u1ed1i \u01b0u h\u00f3a l\u01b0\u1ee3ng h\u00e0ng t\u1ed3n kho gi\u1ea3m thi\u1ec3u t\u00ecnh tr\u1ea1ng thi\u1ebfu h\u00e0ng ho\u1eb7c d\u01b0 th\u1eeba.
Walmart l\u00e0 m\u1ed9t trong nh\u1eefng doanh nghi\u1ec7p \u0111\u00e3 \u1ee9ng d\u1ee5ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0o qu\u1ea3n l\u00fd kho h\u00e0ng th\u00e0nh c\u00f4ng, gi\u00fap gi\u1ea3m chi ph\u00ed l\u01b0u kho v\u00e0 c\u1ea3i thi\u1ec7n quy tr\u00ecnh \u0111\u1eb7t h\u00e0ng t\u1ef1 \u0111\u1ed9ng. Nghi\u00ean c\u1ee9u c\u1ee7a McKinsey cho th\u1ea5y r\u1eb1ng AI c\u00f3 th\u1ec3 gi\u1ea3m t\u1edbi 30% l\u01b0\u1ee3ng h\u00e0ng t\u1ed3n kho kh\u00f4ng c\u1ea7n thi\u1ebft, t\u0103ng 20% hi\u1ec7u su\u1ea5t ho\u1ea1t \u0111\u1ed9ng c\u1ee7a kho h\u00e0ng.<\/p>

5. \u1ee8ng d\u1ee5ng AI trong truy\u1ec1n th\u00f4ng gi\u1ea3i tr\u00ed<\/h2>

5.1 S\u1ea3n xu\u1ea5t n\u1ed9i dung t\u1ef1 \u0111\u1ed9ng<\/h3>

AI \u0111ang thay \u0111\u1ed5i c\u00e1ch c\u00e1c n\u1ed9i dung gi\u1ea3i tr\u00ed \u0111\u01b0\u1ee3c t\u1ea1o ra. C\u00e1c h\u1ec7 th\u1ed1ng AI nh\u01b0 GPT-4, DALL\u00b7E, hay c\u00e1c n\u1ec1n t\u1ea3ng s\u1ea3n xu\u1ea5t n\u1ed9i dung kh\u00e1c c\u00f3 kh\u1ea3 n\u0103ng t\u1ea1o ra v\u0103n b\u1ea3n, h\u00ecnh \u1ea3nh, video th\u1eadm ch\u00ed c\u1ea3 \u00e2m nh\u1ea1c ch\u1ec9 v\u1edbi c\u00e1c y\u00eau c\u1ea7u \u0111\u01a1n gi\u1ea3n t\u1eeb ng\u01b0\u1eddi d\u00f9ng.
V\u00ed d\u1ee5, n\u1ec1n t\u1ea3ng OpenAI \u0111\u00e3 gi\u00fap c\u00e1c nh\u00e0 s\u00e1ng t\u1ea1o n\u1ed9i dung t\u1ea1o ra h\u00e0ng lo\u1ea1t video, h\u00ecnh \u1ea3nh minh h\u1ecda, v\u00e0 n\u1ed9i dung s\u1ed1 m\u1ed9t c\u00e1ch nhanh ch\u00f3ng m\u00e0 v\u1eabn \u0111\u1ea3m b\u1ea3o t\u00ednh s\u00e1ng t\u1ea1o.<\/p>

\"\u1ee8ng
Chat GPT c\u00f3 kh\u1ea3 n\u0103ng t\u1ea1o ra v\u0103n b\u1ea3n, h\u00ecnh \u1ea3nh ch\u1ec9 v\u1edbi c\u00e1c y\u00eau c\u1ea7u \u0111\u01a1n gi\u1ea3n t\u1eeb ng\u01b0\u1eddi d\u00f9ng<\/figcaption><\/figure>

5.2 C\u00e1 nh\u00e2n h\u00f3a tr\u1ea3i nghi\u1ec7m gi\u1ea3i tr\u00ed<\/h3>

AI gi\u00fap c\u00e1 nh\u00e2n h\u00f3a tr\u1ea3i nghi\u1ec7m gi\u1ea3i tr\u00ed c\u1ee7a ng\u01b0\u1eddi d\u00f9ng b\u1eb1ng c\u00e1ch ph\u00e2n t\u00edch h\u00e0nh vi s\u1edf th\u00edch c\u1ee7a h\u1ecd \u0111\u1ec3 \u0111\u01b0a ra c\u00e1c g\u1ee3i \u00fd ph\u00f9 h\u1ee3p. C\u00e1c n\u1ec1n t\u1ea3ng nh\u01b0 Netflix, Spotify, YouTube \u0111\u1ec1u s\u1eed d\u1ee5ng AI \u0111\u1ec3 \u0111\u1ec1 xu\u1ea5t phim, b\u00e0i h\u00e1t, video d\u1ef1a tr\u00ean l\u1ecbch s\u1eed c\u1ee7a ng\u01b0\u1eddi d\u00f9ng.
Netflix \u0111\u00e3 ghi nh\u1eadn r\u1eb1ng 80% n\u1ed9i dung m\u00e0 ng\u01b0\u1eddi d\u00f9ng xem \u0111\u1ebfn t\u1eeb c\u00e1c g\u1ee3i \u00fd c\u1ee7a h\u1ec7 th\u1ed1ng AI. S\u1ef1 c\u00e1 nh\u00e2n h\u00f3a n\u00e0y kh\u00f4ng ch\u1ec9 gi\u00fap gi\u1eef ch\u00e2n kh\u00e1ch h\u00e0ng m\u00e0 c\u00f2n t\u0103ng t\u1ef7 l\u1ec7 ng\u01b0\u1eddi d\u00f9ng quay l\u1ea1i s\u1eed d\u1ee5ng d\u1ecbch v\u1ee5, c\u1ea3i thi\u1ec7n l\u1ee3i nhu\u1eadn c\u1ee7a doanh nghi\u1ec7p.<\/p>

5.3 Ph\u00e2n t\u00edch d\u1eef li\u1ec7u ng\u01b0\u1eddi xem<\/h3>

AI kh\u00f4ng ch\u1ec9 t\u1ea1o ra n\u1ed9i dung m\u00e0 c\u00f2n gi\u00fap c\u00e1c nh\u00e0 s\u1ea3n xu\u1ea5t ph\u00e2n t\u00edch d\u1eef li\u1ec7u ng\u01b0\u1eddi d\u00f9ng \u0111\u1ec3 t\u1ed1i \u01b0u h\u00f3a chi\u1ebfn l\u01b0\u1ee3c s\u1ea3n xu\u1ea5t, ph\u00e2n ph\u1ed1i n\u1ed9i dung. B\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng c\u00e1c thu\u1eadt to\u00e1n ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1edbn, AI gi\u00fap x\u00e1c \u0111\u1ecbnh xu h\u01b0\u1edbng, d\u1ef1 \u0111o\u00e1n nhu c\u1ea7u v\u00e0 t\u1ed1i \u01b0u h\u00f3a chi\u1ebfn l\u01b0\u1ee3c qu\u1ea3ng c\u00e1o.
Theo b\u00e1o c\u00e1o t\u1eeb PwC, AI c\u00f3 th\u1ec3 gi\u00fap t\u0103ng 15-20% hi\u1ec7u qu\u1ea3 c\u1ee7a c\u00e1c chi\u1ebfn d\u1ecbch qu\u1ea3ng c\u00e1o d\u1ef1a tr\u00ean vi\u1ec7c ph\u00e2n t\u00edch ch\u00ednh x\u00e1c h\u00e0nh vi v\u00e0 s\u1edf th\u00edch c\u1ee7a ng\u01b0\u1eddi xem.<\/p>

6. \u1ee8ng d\u1ee5ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o AI trong t\u00e0i ch\u00ednh<\/h2>

6.1 Ph\u00e2n t\u00edch t\u00e0i ch\u00ednh v\u00e0 \u0111\u1ea7u t\u01b0<\/h3>

\u1ee8ng d\u1ee5ng ai trong l\u0129nh v\u1ef1c t\u00e0i ch\u00ednh<\/a> \u0111\u00e3 v\u00e0 \u0111ang tr\u1edf th\u00e0nh m\u1ed9t c\u00f4ng c\u1ee5 quan tr\u1ecdng trong vi\u1ec7c h\u1ed7 tr\u1ee3 c\u00e1c nh\u00e0 \u0111\u1ea7u t\u01b0 \u0111\u01b0a ra quy\u1ebft \u0111\u1ecbnh ch\u00ednh x\u00e1c h\u01a1n. C\u00e1c h\u1ec7 th\u1ed1ng AI hi\u1ec7n \u0111\u1ea1i c\u00f3 kh\u1ea3 n\u0103ng ph\u00e2n t\u00edch h\u00e0ng tri\u1ec7u d\u1eef li\u1ec7u t\u00e0i ch\u00ednh t\u1eeb nhi\u1ec1u ngu\u1ed3n kh\u00e1c nhau, nh\u01b0 tin t\u1ee9c, b\u00e1o c\u00e1o doanh nghi\u1ec7p, xu h\u01b0\u1edbng th\u1ecb tr\u01b0\u1eddng, t\u1eeb \u0111\u00f3 d\u1ef1 \u0111o\u00e1n bi\u1ebfn \u0111\u1ed9ng th\u1ecb tr\u01b0\u1eddng, cung c\u1ea5p c\u00e1c khuy\u1ebfn ngh\u1ecb \u0111\u1ea7u t\u01b0.
Theo nghi\u00ean c\u1ee9u t\u1eeb Business Insider Intelligence, h\u01a1n 70% giao d\u1ecbch ch\u1ee9ng kho\u00e1n t\u1ea1i M\u1ef9 hi\u1ec7n nay \u0111\u01b0\u1ee3c th\u1ef1c hi\u1ec7n b\u1edfi c\u00e1c h\u1ec7 th\u1ed1ng giao d\u1ecbch t\u1ef1 \u0111\u1ed9ng d\u1ef1a tr\u00ean AI. M\u1ed9t v\u00ed d\u1ee5 n\u1ed5i b\u1eadt l\u00e0 AI c\u1ee7a BlackRock, c\u00f4ng ty qu\u1ea3n l\u00fd t\u00e0i s\u1ea3n l\u1edbn nh\u1ea5t th\u1ebf gi\u1edbi, \u0111\u00e3 s\u1eed d\u1ee5ng AI \u0111\u1ec3 ph\u00e2n t\u00edch d\u1ef1 \u0111o\u00e1n th\u1ecb tr\u01b0\u1eddng t\u00e0i ch\u00ednh, gi\u00fap t\u0103ng c\u01b0\u1eddng l\u1ee3i nhu\u1eadn, gi\u1ea3m thi\u1ec3u r\u1ee7i ro cho kh\u00e1ch h\u00e0ng.<\/p>

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L\u1ea1c Vi\u1ec7t Financial AI Agent gi\u1ea3i quy\u1ebft c\u00e1c “n\u1ed7i lo” c\u1ee7a doanh nghi\u1ec7p<\/b><\/p>

\u0110\u1ed1i v\u1edbi ph\u00f2ng k\u1ebf to\u00e1n:<\/b><\/p>