{"id":5621,"date":"2023-05-04T14:40:29","date_gmt":"2023-05-04T07:40:29","guid":{"rendered":"http:\/\/jmcspace.com\/?p=5621"},"modified":"2023-05-04T14:40:29","modified_gmt":"2023-05-04T07:40:29","slug":"goc-nhin-cua-co-van-chuyen-gia-ai-ngai-albert-antoine-ve-ung-dung-tri-tue-nhan-tao-va-du-lieu","status":"publish","type":"post","link":"https:\/\/jmcspace.com\/index.php\/goc-nhin-cua-co-van-chuyen-gia-ai-ngai-albert-antoine-ve-ung-dung-tri-tue-nhan-tao-va-du-lieu\/","title":{"rendered":"G\u00d3C NH\u00ccN C\u1ee6A C\u1ed0 V\u1ea4N, CHUY\u00caN GIA AI – NG\u00c0I ALBERT ANTOINE V\u1ec0 \u1ee8NG D\u1ee4NG TR\u00cd TU\u1ec6 NH\u00c2N T\u1ea0O V\u00c0 D\u1eee LI\u1ec6U"},"content":{"rendered":"\n

\u00d4NG ALBERT ANTONIE: TRI\u1ec2N KHAI \u1ee8NG D\u1ee4NG TR\u00cd TU\u1ec6 NH\u00c2N T\u1ea0O V\u00c0 D\u1eee LI\u1ec6U, CHU\u1ea8N\nB\u1eca C\u00c0NG S\u1edaM C\u01a0 H\u1ed8I C\u00c0NG NHI\u1ec0U <\/strong><\/p>\n\n\n\n

\u00d4ng Albert Antoine l\u00e0 Gi\u00e1m \u0111\u1ed1c \u0110i\u1ec1u h\u00e0nh v\u00e0 \u0110\u1ed3ng s\u00e1ng l\u1eadp AVAIGA (Singapore), \u0111\u01a1n v\u1ecb \u0111\u1ed3ng h\u00e0nh v\u1ec1 Chuy\u1ec3n \u0111\u1ed5i k\u1ef9 thu\u1eadt s\u1ed1 (DX) v\u00e0 AI cho nhi\u1ec1u c\u00f4ng ty l\u1edbn tr\u00ean th\u1ebf gi\u1edbi. \u00d4ng hi\u1ec7n l\u00e0 th\u00e0nh vi\u00ean Ban c\u1ed1 v\u1ea5n Khoa K\u1ef9 thu\u1eadt v\u00e0 C\u00f4ng ngh\u1ec7 \u0110\u1ea1i h\u1ecdc Hu\u1ebf – HUET. \u00d4ng \u0111\u00e3 tr\u00ecnh b\u00e0y chuy\u00ean \u0111\u1ec1 \u201cC\u00f4ng nghi\u1ec7p Tr\u00ed tu\u1ec7 Nh\u00e2n t\u1ea1o, xu th\u1ebf c\u1ee7a Th\u1ebf gi\u1edbi v\u00e0 Vi\u1ec7t Nam\u201d t\u1ea1i H\u1ed9i th\u1ea3o \u201cTi\u1ec1m n\u0103ng v\u00e0 Th\u00e1ch th\u1ee9c c\u1ee7a C\u00f4ng nghi\u1ec7p Tr\u00ed tu\u1ec7 Nh\u00e2n t\u1ea1o \u1edf Vi\u1ec7t Nam\u201d, do Khoa K\u1ef9 thu\u1eadt v\u00e0 C\u00f4ng ngh\u1ec7 \u0110\u1ea1i h\u1ecdc Hu\u1ebf – HUET t\u1ed5 ch\u1ee9c v\u00e0o ng\u00e0y 24\/03\/2023 (s\u1ed1 1 \u0110i\u1ec7n Bi\u00ean Ph\u1ee7, Tp. Hu\u1ebf).<\/em><\/p>\n\n\n\n

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5V \u0111\u1ec3 hi\u1ec3u v\u1ec1\nBig Data (D\u1eef li\u1ec7u l\u1edbn) <\/strong><\/strong><\/p>\n\n\n\n

Ph\u00e1t bi\u1ec3u \u0111\u1ec1 d\u1eabn h\u1ed9i th\u1ea3o, TS. Nguy\u1ec5n Quang L\u1ecbch, Khoa tr\u01b0\u1edfng Khoa K\u1ef9 thu\u1eadt v\u00e0 C\u00f4ng ngh\u1ec7, \u0110\u1ea1i h\u1ecdc Hu\u1ebf cho hay: \u201cS\u1ef1 ra \u0111\u1eddi c\u1ee7a ChatGPT l\u00e0 b\u00e0i to\u00e1n m\u00e0 c\u00e1c \u0111\u01a1n v\u1ecb \u0111\u00e0o t\u1ea1o v\u00e0 doanh nghi\u1ec7p \u0111\u1ec1u \u0111ang n\u1ed7 l\u1ef1c t\u00ecm c\u00e1ch th\u00edch \u1ee9ng v\u00e0 gi\u1ea3i quy\u1ebft. M\u1ed9t th\u1ed1ng k\u00ea g\u1ea7n \u0111\u00e2y cho bi\u1ebft, Vi\u1ec7t Nam hi\u1ec7n ch\u1ec9 c\u00f3 330 chuy\u00ean gia Tr\u00ed tu\u1ec7 Nh\u00e2n t\u1ea1o (AI) tr\u00ean to\u00e0n qu\u1ed1c. Trong khi \u0111\u00f3, nhi\u1ec1u h\u00e3ng c\u00f4ng ngh\u1ec7 nh\u01b0 Google \u0111\u00e3 chuy\u1ec3n \u0111\u1ed5i t\u1eeb tuy\u1ec3n d\u1ee5ng nh\u00e2n l\u1ef1c th\u00f4ng th\u01b0\u1eddng sang nh\u00e2n l\u1ef1c trong ng\u00e0nh AI. V\u1eady n\u00ean HUET t\u1ed5 ch\u1ee9c h\u1ed9i th\u1ea3o n\u00e0y tr\u01b0\u1edbc ti\u00ean nh\u1eb1m c\u1eadp nh\u1eadt hi\u1ec3u bi\u1ebft, ki\u1ebfn th\u1ee9c chuy\u00ean ng\u00e0nh cho c\u00e1c em sinh vi\u00ean. \u0110i\u1ec1u quan tr\u1ecdng h\u01a1n c\u1ea3 l\u00e0 nh\u1eefng chia s\u1ebb c\u1ee7a di\u1ec5n gi\u1ea3 s\u1ebd gi\u00fap tham m\u01b0u cho Khoa HUET v\u1ec1 ph\u01b0\u01a1ng h\u01b0\u1edbng \u0111\u00e0o t\u1ea1o nh\u1eafm \u0111\u1ebfn m\u1ee5c ti\u00eau \u0111\u00e1p \u1ee9ng \u0111\u1ee7 ngu\u1ed3n nh\u00e2n l\u1ef1c AI cho Hu\u1ebf v\u00e0 Mi\u1ec1n Trung trong t\u01b0\u01a1ng lai g\u1ea7n\u201d. <\/p>\n\n\n\n

Tr\u01b0\u1edbc khi\ntr\u00ecnh b\u00e0y chuy\u00ean \u0111\u1ec1 c\u1ee7a m\u00ecnh,\n\u00d4ng Albert Antoine chia\ns\u1ebb v\u1edbi c\u1eed t\u1ecda r\u1eb1ng tuy t\u00ean c\u1ee7a \u00f4ng kh\u00f4ng thu\u1ea7n Vi\u1ec7t nh\u01b0ng g\u1ed1c g\u00e1c gia \u0111\u00ecnh \u0111\u1ec1u\nl\u00e0 ng\u01b0\u1eddi Hu\u1ebf. V\u00e0 v\u00ec l\u00e0 ng\u01b0\u1eddi g\u1ed1c Vi\u1ec7t n\u00ean \u00f4ng lu\u00f4n tr\u0103n tr\u1edf v\u1ec1 vi\u1ec7c \u0111\u00f3ng g\u00f3p cho\nHu\u1ebf v\u00e0 Vi\u1ec7t Nam. <\/p>\n\n\n\n

\u00d4ng Albert Antoine t\u1eebng \u0111\u1ed3ng th\u00e0nh l\u1eadp v\u00e0 v\u1eadn h\u00e0nh c\u00f4ng ty ILOG(S) PTE LTD – \u00e1p d\u1ee5ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o, cung c\u1ea5p d\u1ecbch v\u1ee5 t\u01b0 v\u1ea5n t\u1ed1i \u01b0u ho\u00e1 kinh doanh. Sau \u0111\u00f3, iLOG \u0111\u01b0\u1ee3c IBM mua l\u1ea1i to\u00e0n b\u1ed9 c\u1ed5 phi\u1ebfu ni\u00eam y\u1ebft tr\u00ean s\u00e0n NASDAQ v\u1edbi gi\u00e1 340 tri\u1ec7u USD v\u00e0o n\u0103m 2009 (theo IBM). \u00d4ng t\u1eebng kh\u1edfi nghi\u1ec7p h\u01a1n 20 doanh nghi\u1ec7p. Albert v\u00e0 nh\u00f3m c\u1ee7a \u00f4ng g\u1ea7n \u0111\u00e2y \u0111\u00e3 \u0111\u00e0o t\u1ea1o\/th\u1ef1c hi\u1ec7n c\u00e1c d\u1ef1 \u00e1n DX cho c\u00e1c kh\u00e1ch h\u00e0ng nh\u01b0 Viettel, FPT, VinGroup, Vietcombank, Amazon, DHL, Zara, Nike v\u00e0 nhi\u1ec1u th\u01b0\u01a1ng hi\u1ec7u to\u00e0n c\u1ea7u kh\u00e1c. V\u1edbi \u00f4ng, v\u00ec kh\u1edfi nghi\u1ec7p t\u1eeb th\u1eddi sinh vi\u00ean n\u00ean tinh th\u1ea7n kh\u1edfi nghi\u1ec7p \u0111\u00e3 \u201cn\u1eb1m trong m\u00e1u\u201d v\u00e0 r\u1ea5t th\u1ea5u hi\u1ec3u gi\u00e1 tr\u1ecb c\u1ee7a s\u1ef1 th\u00e0nh c\u00f4ng. <\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

B\u00e0n v\u1ec1 AI, \u00f4ng Albert Antoine cho bi\u1ebft: \u201cTh\u1ef1c ch\u1ea5t AI kh\u00f4ng ph\u1ea3i l\u00e0 \u0111i\u1ec1u g\u00ec \u0111\u00f3 m\u1edbi m\u1ebb b\u1edfi v\u00ec B\u1ed9 Qu\u1ed1c ph\u00f2ng nhi\u1ec1u qu\u1ed1c gia tr\u00ean th\u1ebf gi\u1edbi \u0111\u00e3 tri\u1ec3n khai nghi\u00ean c\u1ee9u v\u00e0 \u1ee9ng d\u1ee5ng t\u1eeb 40 n\u0103m tr\u01b0\u1edbc. C\u00e1 nh\u00e2n t\u00f4i c\u0169ng \u0111\u00e3 l\u00e0m AI t\u1eeb th\u1eadp ni\u00ean 80. Th\u1eddi \u0111\u00f3, AI \u0111\u01b0\u1ee3c l\u1eadp tr\u00ecnh b\u1edfi hai ng\u00f4n ng\u1eef Lisp v\u00e0 Prolog (\u0111\u00e3 t\u1eebng ph\u00e1t tri\u1ec3n r\u1ea5t m\u1ea1nh t\u1ea1i Ph\u00e1p v\u00e0 M\u1ef9). Lisp l\u00e0 ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh m\u1ea1nh, ph\u1ea7n l\u1edbn \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong M\u00e1y h\u1ecdc (Machine learning)\/ILP sub-field b\u1edfi v\u00ec kh\u1ea3 n\u0103ng t\u1ea1o m\u1eabu (prototyping) tuy\u1ec7t v\u1eddi v\u00e0 s\u1ef1 h\u1ed7 tr\u1ee3 \u0111\u1ed1i v\u1edbi bi\u1ec3u th\u1ee9c k\u00fd hi\u1ec7u (symbolic expression). Prolog l\u1ea1i c\u1ef1c k\u1ef3 h\u1eefu \u00edch trong l\u1eadp tr\u00ecnh AI nh\u01b0: \u0111\u1ed1i s\u00e1nh m\u1eabu (pattern matching), quay lui t\u1ef1 \u0111\u1ed9ng (automatic backtracking), c\u00e1c c\u01a1 ch\u1ebf c\u1ea5u tr\u00fac d\u1eef li\u1ec7u d\u1ea1ng c\u00e2y (tree-based data structuring mechanisms)… v\u00e0 s\u1ef1 k\u1ebft h\u1ee3p c\u00e1c c\u01a1 ch\u1ebf n\u00e0y s\u1ebd t\u1ea1o ra nh\u1eefng khung (framework) linh ho\u1ea1t trong qu\u00e1 tr\u00ecnh l\u00e0m vi\u1ec7c. D\u1ef1 \u00e1n \u0111\u1ea7u tay c\u1ee7a t\u00f4i l\u00fac \u0111ang c\u00f2n sinh vi\u00ean l\u00e0 l\u1eadp tr\u00ecnh c\u00e0i \u0111\u1eb7t cho t\u00e0u ng\u1ea7m khi nh\u1eadn \u0111\u01b0\u1ee3c t\u00edn hi\u1ec7u t\u1eeb m\u1eb7t n\u01b0\u1edbc c\u00f3 th\u1ec3 ph\u00e2n t\u00edch \u0111\u00f3 l\u00e0 t\u00e0u ch\u1edf d\u1ea7u, t\u00e0u h\u00e0ng hay t\u00e0u qu\u00e2n s\u1ef1. \u0110\u01b0\u1ee3c giao tr\u1ecdng tr\u00e1ch th\u1ef1c hi\u1ec7n d\u1ef1 \u00e1n n\u00e0y cho Qu\u1ed1c ph\u00f2ng Ph\u00e1p, t\u00f4i r\u1ea5t run nh\u01b0ng \u0111\u00e3 h\u1ecdc h\u1ecfi \u0111\u01b0\u1ee3c kh\u00e1 nhi\u1ec1u\u201d. <\/p>\n\n\n\n

\u00d4ng Albert Antoine nh\u1ea5n m\u1ea1nh: \u201cN\u00f3i v\u1ec1 AI kh\u00f4ng th\u1ec3 ph\u1edbt l\u1edd v\u1ec1 d\u1eef li\u1ec7u (data). Data r\u1ea5t quan tr\u1ecdng, l\u00e0 nguy\u00ean li\u1ec7u nh\u01b0 x\u0103ng xe. D\u1eef li\u1ec7u \u1edf m\u1ecdi n\u01a1i v\u00e0 \u0111ang b\u00f9ng n\u1ed5. Tuy nhi\u00ean, d\u00f9 m\u1ed7i ng\u00e0y data t\u0103ng l\u00ean r\u1ea5t nhi\u1ec1u nh\u01b0ng gi\u00e1 tr\u1ecb c\u00f3 th\u1ec3 r\u00fat ra \u0111\u01b0\u1ee3c l\u1ea1i r\u1ea5t \u00edt. V\u00e0 \u0111\u00f3 c\u0169ng l\u00e0 m\u1ee5c \u0111\u00edch c\u1ee7a AI, ch\u00ednh l\u00e0 t\u0103ng gi\u00e1 tr\u1ecb v\u00e0 s\u1ef1 hi\u1ec3u bi\u1ebft v\u1ec1 data c\u1ee7a m\u00ecnh. V\u1eady data l\u00e0 m\u1ed1i \u0111e d\u1ecda hay l\u00e0 c\u01a1 h\u1ed9i? T\u00f4i s\u1ebd b\u1eaft \u0111\u1ea7u n\u00f3i t\u1eeb Zero data \u0111\u1ec3 m\u1ecdi ng\u01b0\u1eddi c\u00f3 c\u00f9ng ng\u00f4n ng\u1eef chung.<\/p>\n\n\n\n

Theo \u0111\u1ecbnh ngh\u0129a thu th\u1eadp t\u1eeb Google search v\u1ec1 Big Data (D\u1eef li\u1ec7u l\u1edbn), 5V bao g\u1ed3m: Velocity<\/strong> (V\u1eadn t\u1ed1c) – Variety<\/strong> (\u0110a d\u1ea1ng) – Value<\/strong> (Gi\u00e1 tr\u1ecb) – Veracity<\/strong> (T\u00ednh x\u00e1c th\u1ef1c) – Volume<\/strong> (Dung l\u01b0\u1ee3ng). Ta c\u00f3 th\u1ec3 li\u00ean t\u01b0\u1edfng t\u1edbi trung t\u00e2m d\u1eef li\u1ec7u c\u1ee7a c\u00e1c h\u00e3ng xe \u0111ua thu th\u1eadp th\u00f4ng tin hi\u1ec7n tr\u01b0\u1eddng t\u1eebng gi\u00e2y trong qu\u00e1 tr\u00ecnh xe v\u1eadn h\u00e0nh tr\u00ean \u0111\u01b0\u1eddng. C\u00e1c d\u1eef li\u1ec7u nh\u01b0 tr\u1eddi s\u1eafp m\u01b0a, \u0111\u1ed9 \u1ea9m, t\u00ecnh tr\u1ea1ng m\u1eb7t \u0111\u01b0\u1eddng\u2026 \u0111\u01b0\u1ee3c x\u1eed l\u00fd t\u1ee9c th\u1eddi \u0111\u1ec3 \u0111\u01b0a ra c\u00e1c quy\u1ebft \u0111\u1ecbnh nh\u01b0 thay b\u00e1nh xe, \u0111i\u1ec1u ch\u1ec9nh t\u1ed1c \u0111\u1ed9\u2026 Ho\u1eb7c c\u00e1c m\u00e1y bay Boeing 747 m\u1ed7i gi\u00e2y l\u1ea1i g\u1eedi data v\u1ec1 trung t\u00e2m x\u1eed l\u00fd, ph\u00e2n t\u00edch th\u1eddi gian th\u1ef1c (realtime) \u0111\u1ec3 bi\u1ebft ch\u1eafc ch\u1eafn t\u00ecnh tr\u1ea1ng s\u1ee9c kh\u1ecfe c\u1ee7a m\u00e1y bay, t\u1eeb \u0111\u00f3 ra quy\u1ebft \u0111\u1ecbnh thay th\u1ebf ph\u1ee5 t\u00f9ng ph\u00f9 h\u1ee3p, k\u1ecbp th\u1eddi\u201d.<\/p>\n\n\n\n

\u201cCh\u00fang t\u00f4i ch\u01b0a mu\u1ed1n b\u1eaft \u0111\u1ea7u d\u1ef1 \u00e1n AI v\u00ec ch\u01b0a c\u00f3 data ho\u1eb7c ch\u01b0a s\u1eb5n s\u00e0ng v\u1ec1 data\u201d l\u00e0 c\u00e2u n\u00f3i quen thu\u1ed9c m\u00e0 \u00f4ng Albert Antoine th\u01b0\u1eddng nghe khi l\u00e0m vi\u1ec7c v\u1edbi nhi\u1ec1u kh\u00e1ch h\u00e0ng qu\u1ed1c t\u1ebf v\u00e0 Vi\u1ec7t Nam. \u00d4ng cho bi\u1ebft, th\u1ef1c ch\u1ea5t, m\u1ed9t d\u1ef1 \u00e1n AI ch\u1ec9 m\u1ea5t kho\u1ea3ng 20% th\u1eddi gian cho l\u1eadp tr\u00ecnh trong khi ho\u1ea1t \u0111\u1ed9ng thu th\u1eadp v\u00e0 l\u00e0m s\u1ea1ch d\u1eef li\u1ec7u l\u1ea1i chi\u1ebfm \u0111\u1ebfn 80% th\u1eddi gian. L\u00fd do, \u0111\u1ed9 ch\u00ednh x\u00e1c c\u1ee7a data r\u1ea5t quan tr\u1ecdng v\u00ec n\u1ebfu \u201c\u0111\u1ea7u v\u00e0o r\u00e1c, \u0111\u1ea7u ra c\u0169ng s\u1ebd l\u00e0 r\u00e1c\u201d. Ngo\u00e0i ra, tr\u01b0\u1edbc khi tri\u1ec3n khai c\u1ea7n hi\u1ec3u r\u00f5 d\u1ef1 \u00e1n mang l\u1ea1i gi\u00e1 tr\u1ecb g\u00ec cho c\u00f4ng ty\/t\u1ed5 ch\u1ee9c. N\u1ebfu ch\u1ec9 c\u00f3 c\u00e1c \u0111\u1ea7u b\u00e0i h\u00e0o nho\u00e1ng, th\u00fa v\u1ecb m\u00e0 kh\u00f4ng mang l\u1ea1i gi\u00e1 tr\u1ecb g\u00ec th\u00ec kh\u00f4ng n\u00ean l\u00e0m\u201d.<\/p>\n\n\n\n

V\u1eady l\u00e0m sao \u0111\u1ec3 c\u00f3 data?<\/strong><\/p>\n\n\n\n

\u00d4ng Albert Antoine \u0111\u1ec1\nxu\u1ea5t 3 chi\u1ebfn l\u01b0\u1ee3c thu th\u1eadp data g\u1ed3m:<\/p>\n\n\n\n

  1. Chi\u1ebfn\nl\u01b0\u1ee3c con ve v\u00e0 con ki\u1ebfn<\/strong> (ph\u1ecfng theo truy\u1ec7n ng\u1ee5 ng\u00f4n c\u1ee7a La Fontaine): n\u1ebfu\nkh\u00f4ng c\u00f3 data th\u00ec ph\u1ea3i \u0111i xin ho\u1eb7c \u0111i mua.<\/li>
  2. Chi\u1ebfn\nl\u01b0\u1ee3c con nh\u1ec7n<\/strong>: gi\u0103ng l\u01b0\u1edbi \u0111\u1ec3 thu th\u1eadp data, ho\u1eb7c \u0111\u00e1nh \u0111\u1ed5i m\u1ed9t d\u1ecbch\nv\u1ee5 \u0111\u1ec3 l\u1ea5y data.<\/li>
  3. Chi\u1ebfn\nl\u01b0\u1ee3c con c\u00e1o<\/strong>: Kh\u00f4ng c\u00f3 data th\u00ec g\u00f5 c\u1eeda nh\u1eefng ng\u01b0\u1eddi c\u00f3 r\u1ea5t nhi\u1ec1u data.\nV\u00ed d\u1ee5 l\u00e0m AI v\u1ec1 y t\u1ebf th\u00ec c\u00f3 th\u1ec3 t\u00ecm \u0111\u1ebfn B\u1ec7nh vi\u1ec7n Trung \u01b0\u01a1ng Hu\u1ebf. B\u1ea1n c\u00f3 kh\u1ea3\nn\u0103ng c\u00f4ng ngh\u1ec7, b\u1ec7nh vi\u1ec7n c\u00f3 data, b\u1ea1n c\u00f3 th\u1ec3 \u0111\u1ebfn xin d\u1eef li\u1ec7u v\u00e0 \u0111\u1ed5i l\u1ea1i b\u1eb1ng\nc\u00f4ng ngh\u1ec7 h\u1ed7 tr\u1ee3 B\u1ec7nh vi\u1ec7n Trung \u01b0\u01a1ng Hu\u1ebf t\u1ed1i \u01b0u qu\u00e1 tr\u00ecnh ch\u1ea9n \u0111o\u00e1n b\u1ec7nh l\u00fd.\nSau khi l\u00e0m cho B\u1ec7nh vi\u1ec7n Trung \u01b0\u01a1ng Hu\u1ebf th\u00e0nh c\u00f4ng r\u1ed3i, b\u1ea1n d\u00f9ng thu\u1eadt to\u00e1n v\u00e0\nkinh nghi\u1ec7m \u0111\u00f3 \u0111\u1ec3 ti\u1ebfp c\u1eadn c\u00e1c b\u1ec7nh vi\u1ec7n kh\u00e1c v\u00e0 xin th\u00eam data theo c\u00e1ch \u0111\u01b0a ra\nc\u00e1c ph\u01b0\u01a1ng \u00e1n ph\u00f9 h\u1ee3p cho h\u1ecd.<\/li><\/ol>\n\n\n\n

    Theo \u00f4ng Albert Antoine, m\u1ed9t\ns\u1ed1 c\u00f4ng ty b\u00e1n h\u00e0ng th\u01b0\u1eddng s\u1eed d\u1ee5ng \u0111\u1ed3ng th\u1eddi chi\u1ebfn l\u01b0\u1ee3c con nh\u1ec7n v\u00e0 con c\u00e1o,\nthu th\u1eadp d\u1eef li\u1ec7u v\u00e0 b\u00e1n ra cho c\u00e1c c\u00f4ng ty v\u1ec1 ti\u1ebfp th\u1ecb (marketing). \u0110\u00f4i khi\ntrong qu\u00e1 tr\u00ecnh t\u00ecm ki\u1ebfm th\u00f4ng tin tr\u00ean internet, b\u1ea1n s\u1ebd g\u1eb7p nh\u1eefng trang web m\u00e0\ncu\u1ed9n m\u00e3i kh\u00f4ng h\u1ebft. L\u00fd do, doanh nghi\u1ec7p \u0111\u00f3 mu\u1ed1n l\u01b0u ng\u01b0\u1eddi d\u00f9ng l\u1ea1i tr\u00ean trang\nl\u00e2u nh\u1ea5t c\u00f3 th\u1ec3 \u0111\u1ec3 thu th\u1eadp t\u01b0 li\u1ec7u v\u1ec1 th\u00f3i quen c\u1ee7a b\u1ea1n.<\/p>\n\n\n\n

    S\u00e1u xu h\u01b0\u1edbng ph\u00e1t tri\u1ec3n AI tr\u00ean th\u1ebf gi\u1edbi<\/strong><\/p>\n\n\n\n

    \u00d4ng Albert Antoine cho hay, hi\u1ec7n\nth\u1ebf gi\u1edbi c\u00f3 6 xu h\u01b0\u1edbng ph\u00e1t tri\u1ec3n v\u1ec1 AI g\u1ed3m: <\/p>\n\n\n\n

    [1]<\/strong> Bot v\u00e0 Nh\u00e2n vi\u00ean k\u1ef9 thu\u1eadt s\u1ed1<\/strong>: K\u1ebft\nn\u1ed1i gi\u1eefa con ng\u01b0\u1eddi v\u1edbi h\u1ec7 th\u1ed1ng IT qua chatbot ho\u1eb7c k\u1ef9 thu\u1eadt s\u1ed1.<\/p>\n\n\n\n

    [2] <\/strong>BI\/AI-ML<\/strong>: BI –\nBusiness Intelligence (Tr\u00ed tu\u1ec7 doanh nghi\u1ec7p) l\u00e0 d\u1ea1ng c\u00f4ng ngh\u1ec7 gi\u00fap doanh\nnghi\u1ec7p hi\u1ec3u bi\u1ebft v\u1ec1 qu\u00e1 kh\u1ee9. D\u1eef li\u1ec7u \u0111\u01b0\u1ee3c hi\u1ec3n\nth\u1ecb l\u00ean b\u1ea3ng \u0111i\u1ec1u khi\u1ec3n (dashboard), t\u1eeb \u0111\u00f3 gi\u00fap l\u00e3nh \u0111\u1ea1o doanh nghi\u1ec7p\/\u0111\u01a1n v\u1ecb ch\u1ec9nh s\u1eeda v\u00e0 c\u1ea3i thi\u1ec7n quy\u1ebft\n\u0111\u1ecbnh, h\u00e0nh \u0111\u1ed9ng. AI\n– Aritifical Intelligient (Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o) hay ML – Machine\nlearning (M\u00e1y h\u1ecdc)  l\u00e0 m\u1ed9t thu\u1eadt to\u00e1n d\u1ef1a tr\u00ean d\u1eef li\u1ec7u qu\u00e1 kh\u1ee9 \u0111\u1ec3 d\u1ef1\n\u0111o\u00e1n t\u01b0\u01a1ng lai. M\u1ed9t\nl\u0129nh v\u1ef1c kh\u00e1c c\u1ee7a\nAI \u00edt \u0111\u01b0\u1ee3c bi\u1ebft\n\u0111\u1ebfn l\u00e0 \u201cV\u1eadn Tr\u00f9 h\u1ecdc\u201d, thu\u1eadt to\u00e1n s\u1eed d\u1ee5ng to\u00e1n h\u1ecdc \u0111\u1ec3 t\u1ed1i \u01b0u h\u00f3a quy tr\u00ecnh, v\u00ed\nd\u1ee5 nh\u01b0 ki\u1ec3m k\u00ea nh\u00e0 kho v\u00e0\nd\u00f9ng nhi\u1ec1u trong l\u0129nh v\u1ef1c v\u1eadn t\u1ea3i v\u00e0 h\u1eadu c\u1ea7n (transport\n& logistic).<\/p>\n\n\n\n

    [3] <\/strong>N\u1ec1n t\u1ea3ng \u0111\u00e1m m\u00e2y lai<\/strong>: T\u1ea1i\nnhi\u1ec1u qu\u1ed1c gia, \u0111\u01b0a d\u1eef li\u1ec7u l\u01b0u tr\u1eef l\u00ean \u0111\u00e1m m\u00e2y (cloud) l\u00e0 xu h\u01b0\u1edbng\nth\u1ecbnh h\u00e0nh. Ngay c\u1ea3 d\u1eef li\u1ec7u ng\u00e2n h\u00e0ng (v\u1ed1n c\u00f3 \u0111\u1ed9 nh\u1ea1y c\u1ea3m th\u1ee9 nh\u00ec sau d\u1eef li\u1ec7u\nqu\u1ed1c ph\u00f2ng) v\u1eabn \u0111\u01b0\u1ee3c \u0111\u01b0a h\u1ebft l\u00ean \u0111\u00e1m m\u00e2y. Vi\u1ec7c ph\u00e2n v\u00e2n l\u1ef1a ch\u1ecdn ph\u01b0\u01a1ng \u00e1n l\u01b0u\ntr\u1eef d\u1eef li\u1ec7u tr\u00ean \u0111\u00e1m m\u00e2y ho\u1eb7c m\u00e1y ch\u1ee7 ri\u00eang ch\u1ee7 y\u1ebfu n\u1eb7ng nhi\u1ec1u v\u1ec1 t\u00e2m l\u00fd. \u0110\u1ec3 b\u01b0\u1edbc\nqua ng\u01b0\u1ee1ng n\u00e0y, m\u1ed9t s\u1ed1 doanh nghi\u1ec7p ch\u1ecdn \u0111\u01b0a kho\u1ea3ng 80% d\u1eef li\u1ec7u l\u00ean \u0111\u00e1m m\u00e2y tr\u01b0\u1edbc,\nch\u1ec9 gi\u1eef 20% c\u00f2n l\u1ea1i l\u00e0m d\u1ef1 ph\u00f2ng. V\u00e0 vi\u1ec7c \u0111\u01b0a d\u1eef li\u1ec7u l\u00ean \u0111\u00e1m m\u00e2y gi\u00fap ti\u1ebft ki\u1ec7m\nchi ph\u00ed r\u1ea5t l\u1edbn.<\/p>\n\n\n\n

    [<\/strong>4<\/strong>]<\/strong> Gi\u1ea3i ph\u00e1p g\u1ed1c tr\u00ean \u0111\u00e1m m\u00e2y<\/strong>: S\u1ef1\nth\u1eadt l\u00e0 gi\u1ea3i ph\u00e1p \u0111\u00e1m m\u00e2y kh\u00f4ng ch\u1ec9 d\u00e0nh ri\u00eang cho vi\u1ec7c l\u01b0u tr\u1eef d\u1eef li\u1ec7u (theo\nm\u00f4 h\u00ecnh ki\u1ebfn tr\u00fac nguy\u00ean kh\u1ed1i) m\u00e0 c\u00f2n r\u1ea5t h\u1eefu \u00edch \u0111\u1ed1i v\u1edbi vi\u1ec7c ph\u00e1t tri\u1ec3n c\u00e1c\nki\u1ebfn tr\u00fac vi d\u1ecbch v\u1ee5 nh\u01b0 nh\u1eefng d\u1ef1 \u00e1n c\u00f4ng ngh\u1ec7 th\u00f4ng tin ng\u1eafn h\u1ea1n v\u1edbi th\u1eddi gian\ntri\u1ec3n khai t\u1eeb 6 th\u00e1ng – 01 n\u0103m, c\u1ea7n nhi\u1ec1u ng\u01b0\u1eddi tham gia x\u1eed l\u00fd c\u00e1c v\u1ea5n \u0111\u1ec1 c\u1ee7a d\u1ef1\n\u00e1n, ho\u1eb7c thu\u00ea ngo\u00e0i theo t\u1eebng module nh\u1ecf (micro services)\nnh\u1eb1m v\u1eeba tri\u1ec3n khai v\u1eeba b\u1ea3o tr\u00ec\u2026 s\u1ebd nhanh v\u00e0 hi\u1ec7u qu\u1ea3 h\u01a1n.<\/p>\n\n\n\n

    [<\/strong>5<\/strong>]<\/strong> <\/strong>DATA<\/strong>OPS ph\u00e2n t\u00edch\/d\u1eef li\u1ec7u<\/strong>:\nC\u00e1c nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u (Data Scientist) l\u00e0m v\u1ec1 AI ph\u1ea3i h\u1ecdc To\u00e1n r\u1ea5t nhi\u1ec1u \u0111\u1ec3 nghi\u00ean\nc\u1ee9u c\u00e1c d\u1eef li\u1ec7u \u0111\u00e3 \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c v\u00e0 ph\u00e2n t\u00edch k\u1ef9 l\u01b0\u1ee1ng nh\u1eb1m tr\u00edch xu\u1ea5t th\u00f4ng tin\nb\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng nhi\u1ec1u ph\u01b0\u01a1ng ph\u00e1p th\u1ed1ng k\u00ea kh\u00e1c nhau. Sau \u0111\u00f3 s\u1eed d\u1ee5ng thu\u1eadt\nto\u00e1n Machine learning \u0111\u1ec3 d\u1ef1 \u0111o\u00e1n c\u00e1c s\u1ef1 ki\u1ec7n s\u1ebd x\u1ea3y ra v\u00e0 \u0111\u01b0a ra quy\u1ebft \u0111\u1ecbnh d\u1ef1a\ntr\u00ean c\u00e1c data \u0111\u00f3. V\u1ea5n \u0111\u1ec1 \u0111\u1eb7t ra c\u00e0ng ph\u1ee9c t\u1ea1p ch\u1eebng n\u00e0o th\u00ec h\u1ecd c\u00e0ng th\u00edch th\u00fa\nch\u1eebng \u0111\u00f3 v\u00ec \u0111\u01b0\u1ee3c th\u00e1ch th\u1ee9c v\u1ec1 tr\u00ed tu\u1ec7. T\u1eeb g\u00f3c nh\u00ecn c\u1ee7a doanh nghi\u1ec7p, nh\u1eefng gi\u1ea3i ph\u00e1p \u0111\u01b0a ra b\u1edfi nh\u00e0 khoa\nh\u1ecdc d\u1eef li\u1ec7u ph\u1ea3i \u0111\u01b0\u1ee3c t\u1ef1 \u0111\u1ed9ng ho\u00e1 trong vi\u1ec7c ch\u1ec9nh s\u1eeda, c\u1ea3i thi\u1ec7n \u0111\u1ec3 c\u00f3 nh\u1eefng ph\u01b0\u01a1ng\n\u00e1n t\u1ed1t nh\u1ea5t trong m\u1ed9t th\u1eddi gian ng\u1eafn nh\u1ea5t c\u00f3 th\u1ec3.<\/p>\n\n\n\n

    [<\/strong>6<\/strong>]<\/strong> D\u00e2n ch\u1ee7 h\u00f3a d\u1eef li\u1ec7u<\/strong>: <\/strong><\/p>\n\n\n\n

    Khi \u0111\u01a1n v\u1ecb, t\u1ed5\nch\u1ee9c \u1ee9ng d\u1ee5ng AI (v\u00e0 gi\u1ea3 thi\u1ebft l\u00e0 to\u00e0n b\u1ed9 1.000 nh\u00e2n vi\u00ean c\u1ee7a doanh nghi\u1ec7p \u0111\u00f3 \u0111\u1ec1u\nch\u1ea1m v\u00e0o AI) th\u00ec t\u1ea5t c\u1ea3 c\u00e1c b\u1ed9 ph\u1eadn c\u1ea7n c\u00f3 c\u00f9ng \u0111\u1ecbnh h\u01b0\u1edbng tri\u1ec3n khai thu th\u1eadp\ndata nh\u1eb1m \u0111\u1ea1t \u0111\u01b0\u1ee3c m\u1ee5c ti\u00eau \u2018t\u1ea1o ra tr\u1ea3i nghi\u1ec7m kh\u00e1ch h\u00e0ng th\u00fa v\u1ecb h\u01a1n\u2019.<\/p>\n\n\n\n

    V\u00ed d\u1ee5, kh\u00e1ch\nh\u00e0ng c\u1ea7n mua gi\u00e0y b\u01b0\u1edbc v\u00e0o m\u1ed9t gian h\u00e0ng, \u0111\u1eb7t \u0111\u00f4i gi\u00e0y h\u1ecd \u0111ang mang l\u00ean m\u00e0n\nh\u00ecnh m\u00e1y t\u00ednh, sau \u0111\u00f3 t\u1ef1 thi\u1ebft k\u1ebf gi\u00e0y cho b\u1ea3n th\u00e2n t\u1eeb c\u00e1c th\u00f4ng s\u1ed1 m\u00e0 h\u1ec7 th\u1ed1ng\nc\u00f3 s\u1eb5n. <\/p>\n\n\n\n

    \u00d4ng Albert Antoine cho bi\u1ebft: \u201cTh\u00e1ch\nth\u1ee9c c\u1ee7a c\u00e1c d\u1ef1 \u00e1n AI kh\u00f4ng ph\u1ea3i v\u1ec1 v\u1ea5n \u0111\u1ec1 thu\u1eadt to\u00e1n m\u00e0 l\u00e0 s\u1ef1 th\u00f4ng hi\u1ec3u gi\u1eefa\nnh\u00e2n s\u1ef1 c\u1ee7a b\u1ed9 ph\u1eadn C\u00f4ng ngh\u1ec7 Th\u00f4ng tin (IT) v\u00e0 ng\u01b0\u1eddi c\u1ea7n l\u00e0m AI (nh\u01b0 b\u1ed9 ph\u1eadn\nmarketing). Xu h\u01b0\u1edbng m\u00e0 t\u00f4i t\u1eebng \u0111i n\u00f3i chuy\u1ec7n \u1edf nhi\u1ec1u c\u00f4ng ty t\u1ea1i H\u00e0 N\u1ed9i, Tp.\nH\u1ed3 Ch\u00ed Minh th\u01b0\u1eddng l\u00e0, khi tri\u1ec3n khai m\u1ed9t d\u1ef1 \u00e1n AI, l\u00e3nh \u0111\u1ea1o s\u1ebd giao vi\u1ec7c cho b\u1ed9\nph\u1eadn IT. \u0110\u00e2y l\u00e0 m\u1ed9t hi\u1ec3u nh\u1ea7m l\u1edbn v\u00ec IT ch\u1ec9 hi\u1ec3u v\u1ec1 c\u00f4ng ngh\u1ec7 ch\u1ee9 kh\u00f4ng r\u00e0nh v\u1ec1\nho\u1ea1t \u0111\u1ed9ng kinh doanh do \u0111\u00f3 kh\u00f4ng th\u1ec3 l\u00e0 ng\u01b0\u1eddi ra \u0111\u1ec1 b\u00e0i. Khi doanh nghi\u1ec7p mu\u1ed1n\ntri\u1ec3n khai Chuy\u1ec3n \u0111\u1ed5i s\u1ed1 (DX) ho\u1eb7c \u1ee9ng d\u1ee5ng AI, ng\u01b0\u1eddi c\u00f3 kh\u1ea3 n\u0103ng \u0111\u1eb7t v\u1ea5n \u0111\u1ec1 n\u00ean\nl\u00e0 CMO (Chief Marketing Officer) \u2013 Gi\u00e1m \u0111\u1ed1c Marketing, ho\u1eb7c CRO (Chief Revenue\nOfficer) \u2013 Gi\u00e1m \u0111\u1ed1c B\u00e1n h\u00e0ng. H\u1ecd\ns\u1ebd \u0111\u1ec1 xu\u1ea5t \u0111\u1ec1 b\u00e0i nh\u01b0\n\u201cm\u1ee5c ti\u00eau trong n\u0103m t\u1edbi t\u00f4i mu\u1ed1n m\u1edf r\u1ed9ng th\u00eam 1% th\u1ecb ph\u1ea7n\u201d, v\u00e0 IT s\u1ebd t\u1eeb \u0111\u1ec1 b\u00e0i\nn\u00e0y \u0111\u1ec3 t\u00ecm ra c\u00e1c c\u00f4ng c\u1ee5 hi\u1ec7n th\u1ef1c h\u00f3a m\u1ee5c ti\u00eau b\u00e1n h\u00e0ng. T\u1ea1i c\u00e1c doanh nghi\u1ec7p\nn\u01b0\u1edbc ngo\u00e0i, CDO (Chief Data\nOfficer) – Gi\u00e1m \u0111\u1ed1c D\u1eef li\u1ec7u l\u00e0 nh\u00e2n v\u1eadt c\u00f3 kh\u1ea3 n\u0103ng l\u00e0m trung gian gi\u1eefa hai v\u1ecb\ntr\u00ed CMO (Gi\u00e1m \u0111\u1ed1c Marketing) v\u00e0 CIO (Gi\u00e1m \u0111\u1ed1c C\u00f4ng ngh\u1ec7). Nh\u00e2n s\u1ef1 c\u1ee7a b\u1ed9 ph\u1eadn D\u1eef\nli\u1ec7u t\u1eadp h\u1ee3p t\u1eeb nh\u00f3m AI, IT v\u00e0 kinh doanh. N\u1ebfu doanh nghi\u1ec7p c\u00f3 m\u1ed9t CDO s\u1ebd hi\u1ec3u\nd\u1ef1 \u00e1n v\u00e0 tri\u1ec3n khai t\u1ed1t h\u01a1n. H\u01a1n 2 n\u0103m tr\u01b0\u1edbc, m\u1ed9t v\u00e0i c\u00f4ng ty l\u1edbn nh\u1edd t\u00f4i tuy\u1ec3n\ngi\u00fap CDO, t\u00f4i tr\u1ea3 l\u1eddi r\u1eb1ng t\u00ecm ng\u01b0\u1eddi nh\u01b0 v\u1eady kh\u00f4ng kh\u00f3 nh\u01b0ng tr\u01b0\u1edbc ti\u00ean c\u1ea7n ph\u1ea3i\nl\u00e0m r\u00f5 doanh nghi\u1ec7p c\u1ea7n g\u00ec th\u00ec m\u1edbi c\u00f3 \u0111\u1ec1 b\u00e0i \u0111\u1ec3 h\u1ecd l\u00e0m vi\u1ec7c. Nhi\u1ec1u doanh nghi\u1ec7p\nVi\u1ec7t Nam t\u01b0\u1edfng CDO l\u00e0 ng\u01b0\u1eddi c\u00f3 \u2018c\u00e2y \u0111\u0169a th\u1ea7n\u2019 v\u00e0 th\u00f4ng qua h\u1ecd th\u00ec d\u1ef1 \u00e1n n\u00e0o\nc\u0169ng s\u1ebd th\u00e0nh c\u00f4ng\u201d.<\/p>\n\n\n\n

    Theo \u00f4ng Albert Antoine, m\u1ed9t\nv\u00ed d\u1ee5 kh\u00e1c v\u1ec1 \u201cd\u00e2n ch\u1ee7 h\u00f3a d\u1eef li\u1ec7u\u201d l\u00e0 quan s\u00e1t c\u00e1ch th\u1ee9c qu\u1ea3n tr\u1ecb v\u1eadn h\u00e0nh\nth\u00e0nh ph\u1ed1 th\u00f4ng minh (Smart City). D\u1ea5u hi\u1ec7u \u0111\u1ea7u ti\u00ean \u0111\u1ec3 nh\u1eadn bi\u1ebft m\u1ed9t th\u00e0nh ph\u1ed1\nth\u00f4ng minh l\u00e0 h\u1ec7 th\u1ed1ng camera g\u1eafn \u1edf m\u1ecdi ng\u00f3c ng\u00e1ch \u0111\u1ec3 thu th\u1eadp d\u1eef li\u1ec7u. Tuy\nnhi\u00ean, n\u1ebfu c\u00f3 \u1ee9ng d\u1ee5ng AI s\u1ebd cho kh\u1ea3 n\u0103ng khai th\u00e1c d\u1eef li\u1ec7u \u1edf m\u1ee9c \u0111\u1ed9 cao h\u01a1n.\n\u0110\u01a1n c\u1eed nh\u01b0, t\u1ea1i th\u00e0nh ph\u1ed1 Barcelona (T\u00e2y Ban Nha), Paris (Ph\u00e1p) \u2026 c\u00f3 c\u00e1c h\u1ec7 th\u1ed1ng\nxe \u0111\u1ea1p c\u00f4ng c\u1ed9ng cho ng\u01b0\u1eddi d\u00e2n thu\u00ea \u0111\u1ec3 \u0111i l\u1ea1i, \u0111\u00f3 l\u00e0 m\u1ed9t trong s\u1ed1 nh\u1eefng d\u1ef1 \u00e1n c\u1ee7a\nth\u00e0nh ph\u1ed1 th\u00f4ng minh v\u00e0 ph\u00eda sau l\u00e0 h\u1ec7 th\u1ed1ng AI r\u1ea5t kinh kh\u1ee7ng. C\u0103n c\u1ee9 h\u00e0nh vi\nc\u1ee7a ng\u01b0\u1eddi thu\u00ea xe \u0111\u1ea1p c\u00f3 th\u1ec3 hi\u1ec3u \u0111\u01b0\u1ee3c l\u1ed9 tr\u00ecnh c\u1ee7a kh\u00e1ch du l\u1ecbch trong th\u00e0nh\nph\u1ed1, t\u1eeb \u0111\u00f3 ra quy\u1ebft \u0111\u1ecbnh nh\u1eefng v\u1ecb tr\u00ed n\u00e0o c\u1ea7n \u0111\u1ec3 nhi\u1ec1u xe \u0111\u1ea1p h\u01a1n gi\u00fap t\u1ed1i thi\u1ec3u\nh\u00f3a chi ph\u00ed v\u00e0 t\u1ed1i \u01b0u h\u00f3a qu\u00e1 tr\u00ecnh v\u1eadn h\u00e0nh \u0111i\u1ec1u ph\u1ed1i. Ho\u1eb7c h\u1ec7 th\u1ed1ng c\u1ea3m bi\u1ebfn\n\u0111i\u1ec7n \u0111\u01b0\u1eddng nh\u1eadn bi\u1ebft \u0111\u01b0\u1ee3c nh\u1eefng kho\u1ea3ng th\u1eddi gian (nh\u01b0 n\u1eeda \u0111\u00eam) \u00edt ng\u01b0\u1eddi \u0111i l\u1ea1i\nh\u01a1n v\u00e0 \u0111i\u1ec1u ch\u1ec9nh h\u1ec7 th\u1ed1ng \u0111\u00e8n \u0111\u01b0\u1eddng m\u1edd \u0111i m\u1ed9t ch\u00fat. S\u1ef1 gi\u1ea3m s\u00e1ng n\u00e0y c\u00f3 th\u1ec3\nkh\u00f4ng qu\u00e1 kh\u00e1c bi\u1ec7t trong m\u1eaft ng\u01b0\u1eddi th\u01b0\u1eddng nh\u01b0ng \u0111\u00e3 gi\u00fap c\u00e1c th\u00e0nh ph\u1ed1 ti\u1ebft ki\u1ec7m\n\u0111\u01b0\u1ee3c h\u01a1n 100 tri\u1ec7u euro\/n\u0103m. <\/p>\n\n\n\n

    [7] <\/strong>Th\u00e1ch th\u1ee9c trong d\u1ef1 \u00e1n D\u1eef li\u1ec7u:<\/strong> <\/strong>L\u1ea7m l\u1eabn gi\u1eefa Doanh nghi\u1ec7p v\u00e0\nCNTT<\/strong><\/p>\n\n\n\n

    L\u1ea7m l\u1eabn gi\u1eefa m\u1ee5c ti\u00eau ph\u00e1t tri\u1ec3n t\u1ed5 ch\u1ee9c\/doanh nghi\u1ec7p v\u00e0\nx\u00e2y d\u1ef1ng h\u1ec7 th\u1ed1ng CNTT l\u00e0 m\u1ed9t th\u00e1ch th\u1ee9c \u0111\u1ec3 b\u1eaft \u0111\u1ea7u d\u1ef1 \u00e1n d\u1eef li\u1ec7u b\u1ea5t k\u1ef3. \u00d4ng Albert\nAntoine nh\u1ea5n m\u1ea1nh: \u201cChuy\u1ec3n \u0111\u1ed5i s\u1ed1 ch\u00fa tr\u1ecdng v\u1ec1 s\u1ef1 thay \u0111\u1ed5i c\u1ee7a con ng\u01b0\u1eddi nhi\u1ec1u\nh\u01a1n l\u00e0 v\u1ec1 c\u00f4ng ngh\u1ec7 n\u00ean c\u1ea7n l\u00e0m m\u1edbi t\u01b0 duy c\u1ee7a l\u00e3nh \u0111\u1ea1o tr\u01b0\u1edbc khi ti\u1ebfp c\u1eadn c\u00f4ng\nngh\u1ec7 m\u1edbi. M\u1ed9t v\u00e0i l\u00e3nh \u0111\u1ea1o doanh nghi\u1ec7p ngh\u0129 r\u1eb1ng ch\u1ec9 c\u1ea7n mua m\u1ed9t ph\u1ea7n m\u1ec1m nh\u01b0\nERP (ph\u1ea7n m\u1ec1m qu\u1ea3n l\u00fd doanh nghi\u1ec7p t\u1ed5ng th\u1ec3) l\u00e0 \u0111\u00e3 chuy\u1ec3n \u0111\u1ed5i s\u1ed1. S\u1ef1 th\u1eadt th\u00ec\nChuy\u1ec3n \u0111\u1ed5i s\u1ed1 c\u1ea7n \u0111i xa h\u01a1n th\u1ebf b\u1edfi v\u00ec c\u00f4ng ngh\u1ec7 ch\u1ec9 l\u00e0 c\u00f4ng c\u1ee5, kh\u00f4ng ph\u1ea3i l\u00e0\nchi\u1ebfn l\u01b0\u1ee3c.<\/p>\n\n\n\n

    M\u1ed9t v\u00e0i b\u1ea1n t\u1eebng ph\u00e0n n\u00e0n ri\u00eang v\u1edbi t\u00f4i r\u1eb1ng, h\u1ecd \u0111\u00e3 \u0111\u1ec1 xu\u1ea5t\nnh\u1eefng d\u1ef1 \u00e1n n\u00e0y n\u1ecd nh\u01b0ng s\u1ebfp kh\u00f4ng \u0111\u1ed3ng thu\u1eadn tri\u1ec3n khai. T\u00f4i chia s\u1ebb v\u1edbi h\u1ecd r\u1eb1ng,\nh\u1ecd \u0111\u00e3 t\u1eadp trung v\u00e0o t\u00ednh n\u0103ng s\u1eed d\u1ee5ng (use case) h\u01a1n l\u00e0 ph\u1ee5c v\u1ee5 cho ho\u1ea1t \u0111\u1ed9ng\nkinh doanh (bussiness case). V\u00ed d\u1ee5, h\u1ecd mu\u1ed1n ph\u00e1t tri\u1ec3n Deep Learning (H\u1ecdc s\u00e2u)\nv\u1ec1 ch\u1ea9n \u0111o\u00e1n ung th\u01b0 ph\u1ed5i t\u1eeb nhi\u1ec1u ngu\u1ed3n d\u1eef li\u1ec7u h\u00ecnh \u1ea3nh b\u1ec7nh ph\u1ed5i kh\u00e1c nhau\nnh\u01b0ng v\u00ec h\u1ecd kh\u00f4ng cung c\u1ea5p cho l\u00e3nh \u0111\u1ea1o c\u00e1c h\u00ecnh dung c\u1ee5 th\u1ec3 (th\u00f4ng qua m\u1ed9t\nPOC) n\u00ean r\u1ea5t kh\u00f3 \u0111\u01b0\u1ee3c \u0111\u1ed3ng \u00fd tri\u1ec3n khai. N\u00ean b\u1ed5 sung th\u00eam t\u01b0 duy kinh doanh, \u0111\u1ed1i\nt\u01b0\u1ee3ng ti\u1ebfp c\u1eadn, k\u1ebf ho\u1ea1ch thu l\u1ea1i l\u1ee3i nhu\u1eadn\u2026 th\u00ec d\u1ef1 \u00e1n s\u1ebd d\u1ec5 ph\u00ea duy\u1ec7t h\u01a1n\u201d.<\/p>\n\n\n\n

    POC – Proof of Concept (B\u1eb1ng ch\u1ee9ng v\u1ec1 kh\u00e1i ni\u1ec7m) m\u00e0 \u00f4ng Albert\nAntoine \u0111\u1ec1 c\u1eadp l\u00e0 thu\u1eadt ng\u1eef \u0111ang \u0111\u01b0\u1ee3c r\u1ea5t nhi\u1ec1u doanh nghi\u1ec7p s\u1eed d\u1ee5ng. POC l\u00e0\nh\u00ecnh th\u1ee9c ti\u1ebfn h\u00e0nh th\u1eed nghi\u1ec7m m\u1ed9t ph\u01b0\u01a1ng ph\u00e1p ho\u1eb7c m\u1ed9t \u00fd t\u01b0\u1edfng n\u00e0o \u0111\u00f3, \u0111\u1ec3 ch\u1ee9ng\nminh ch\u00fang th\u1ef1c s\u1ef1 kh\u1ea3 thi v\u00e0 ho\u00e0n to\u00e0n c\u00f3 kh\u1ea3 n\u0103ng \u1ee9ng d\u1ee5ng v\u00e0o cu\u1ed9c s\u1ed1ng. V\u1ec1\nc\u01a1 b\u1ea3n, quy m\u00f4 tri\u1ec3n khai c\u1ee7a POC th\u01b0\u1eddng nh\u1ecf v\u00e0 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c ho\u00e0n th\u00e0nh ho\u1eb7c\nkh\u00f4ng c\u1ea7n ho\u00e0n th\u00e0nh. Nguy\u00ean nh\u00e2n b\u1edfi POC ch\u1ec9 l\u00e0 m\u1ed9t th\u1eed nghi\u1ec7m \u0111\u1ec3 kh\u1eb3ng \u0111\u1ecbnh t\u00ednh\nkh\u1ea3 thi c\u1ee7a d\u1ef1 \u00e1n v\u00e0 c\u00f3 th\u1ec3 d\u1eebng l\u1ea1i n\u1ebfu th\u1ea5t b\u1ea1i. <\/p>\n\n\n\n

    \u00d4ng Albert Antoine\nkhuy\u1ebfn ngh\u1ecb: \u201cPOC c\u00f3 vai tr\u00f2 th\u00fac \u0111\u1ea9y, m\u1edf \u0111\u01b0\u1eddng cho d\u1ef1 \u00e1n AI v\u00e0 Chuy\u1ec3n \u0111\u1ed5i s\u1ed1. T\u01b0\u01a1ng\nt\u1ef1 nh\u01b0 ng\u01b0\u1eddi l\u00ednh tr\u01b0\u1edbc khi ra tr\u1eadn ph\u1ea3i t\u1eadp d\u01b0\u1ee3t tr\u01b0\u1edbc tr\u00ean c\u00e1c h\u00ecnh m\u1eabu. \u0110\u00e2y\nl\u00e0 s\u1ef1 chu\u1ea9n b\u1ecb c\u1ee7a doanh nghi\u1ec7p t\u1eeb nh\u1eefng vi\u1ec7c nh\u1ecf v\u00e0 \u0111\u01a1n gi\u1ea3n tr\u01b0\u1edbc khi tri\u1ec3n\nkhai m\u1ed9t d\u1ef1 \u00e1n l\u1edbn h\u01a1n. \u0110i\u1ec1u quan tr\u1ecdng nh\u1ea5t khi l\u00e0m POC l\u00e0 c\u00f3 \u0111\u1ecbnh h\u01b0\u1edbng v\u00e0\nKPI (Key Performance Indicator) – Ch\u1ec9 s\u1ed1 \u0111\u00e1nh gi\u00e1 hi\u1ec7u qu\u1ea3 c\u00f4ng vi\u1ec7c r\u00f5 r\u00e0ng. N\u1ebfu\ntri\u1ec3n khai m\u1ed9t POC ho\u00e0n ch\u1ec9nh \u0111\u00fang quy tr\u00ecnh, quy t\u1eafc th\u00ec t\u1eeb POC qua d\u1ef1 \u00e1n th\u1eadt\ns\u1ebd d\u1ec5 d\u00e0ng h\u01a1n nhi\u1ec1u. Ngo\u00e0i ra, d\u1ef1\n\u00e1n AI l\u00e0 gi\u00fap t\u1ed5 ch\u1ee9c\/doanh nghi\u1ec7p t\u0103ng l\u1ee3i th\u1ebf c\u1ea1nh tranh n\u00ean c\u1ea7n hi\u1ec3u r\u00f5 m\u1ee5c\n\u0111\u00edch, m\u1ee5c ti\u00eau c\u1ee7a t\u1ed5 ch\u1ee9c\/doanh nghi\u1ec7p m\u00ecnh l\u00e0 g\u00ec, bi\u1ebft m\u00ecnh c\u00f3 l\u1ee3i th\u1ebf g\u00ec v\u00e0 n\u00ean\nb\u1ed5 sung th\u00eam nh\u1eefng g\u00ec \u0111\u1ec3 \u0111\u1ea1t \u0111\u01b0\u1ee3c m\u1ee5c ti\u00eau c\u1ea1nh tranh t\u1ed1t h\u01a1n. Cu\u1ed1i c\u00f9ng, \u0111i\u1ec3m\n\u0111\u1ebfn c\u1ee7a m\u1ed9t d\u1ef1 \u00e1n AI ph\u1ea3i l\u00e0 ch\u1ec9 s\u1ed1 ROI (Return on Investment) – L\u1ee3i t\u1ee9c \u0111\u1ea7u t\u01b0\nhay t\u1ef7 l\u1ec7 l\u1ee3i nhu\u1eadn r\u00f2ng tr\u00ean t\u1ed5ng chi ph\u00ed \u0111\u1ea7u t\u01b0\u201d.<\/p>\n\n\n\n

    C\u01a1 h\u1ed9i n\u00e0o cho\nVi\u1ec7t Nam trong ng\u00e0nh Tr\u00ed tu\u1ec7 Nh\u00e2n t\u1ea1o?<\/strong><\/p>\n\n\n\n

    \u00d4ng Albert Antoine nh\u1eadn x\u00e9t: \u201cKhi tham d\u1ef1 c\u00e1c h\u1ed9i th\u1ea3o v\u1ec1\nc\u00f4ng ngh\u1ec7 t\u1ea1i Vi\u1ec7t Nam, t\u00f4i th\u01b0\u1eddng nghe nh\u1eafc nhi\u1ec1u \u0111\u1ebfn c\u00e2u \u201c\u0111i t\u1eaft \u0111\u00f3n \u0111\u1ea7u\u201d, \u201c\u0111\u1ee9ng\ntr\u00ean vai \u00f4ng kh\u1ed5ng l\u1ed3\u201d\u2026T\u00f4i l\u1ea1i ngh\u0129, mu\u1ed1n l\u00e0m \u0111\u01b0\u1ee3c ph\u1ea3i \u0111\u00e1nh \u0111\u1ed5i c\u00e1i g\u00ec \u0111\u00f3 b\u1edfi\nv\u00ec c\u00e1c \u00f4ng kh\u1ed5ng l\u1ed3 kh\u00f4ng ch\u1ec9 c\u00f3 c\u01a1 b\u1eafp m\u00e0 c\u00f2n r\u1ea5t th\u00f4ng minh. Mu\u1ed1n h\u1ecd cho m\u00ecnh\n\u0111\u1ee9ng tr\u00ean vai th\u00ec h\u1ecd ph\u1ea3i nh\u1eadn \u0111\u01b0\u1ee3c c\u00e1i g\u00ec t\u01b0\u01a1ng x\u1ee9ng\u201d.<\/p>\n\n\n\n

    Theo \u00f4ng, \u0111\u1ec3 ng\u00e0nh c\u00f4ng nghi\u1ec7p Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 D\u1eef li\u1ec7u\nt\u1ea1i Vi\u1ec7t Nam (AI\/Data) ph\u00e1t tri\u1ec3n c\u1ea7n: [1] X\u00e1c \u0111\u1ecbnh l\u1ea1i vai tr\u00f2 c\u1ee7a CDO (hi\u1ec7n\nth\u1eddi ch\u01b0a \u0111\u01b0\u1ee3c r\u00f5 r\u00e0ng); [2] Ho\u00e0n thi\u1ec7n h\u1ec7 th\u1ed1ng thanh to\u00e1n (Fintech); [3] X\u00e2y\nd\u1ef1ng th\u00e0nh ph\u1ed1 th\u00f4ng minh (kh\u00f4ng ch\u1ec9 Camera gi\u00e1m s\u00e1t); [4] M\u1ea1nh d\u1ea1n th\u1ef1c thi\nc\u00e1c POC (tr\u01b0\u1edbc khi tri\u1ec3n khai cu\u1ed1i c\u00f9ng); [5] T\u1eadp trung Chuy\u1ec3n \u0111\u1ed5i s\u1ed1 (\u1ee9ng d\u1ee5ng\nAI); Ph\u00e1t tri\u1ec3n H\u1ecdc s\u00e2u – Deep Learning trong ho\u1ea1t \u0111\u1ed9ng ch\u1ea9n \u0111o\u00e1n b\u1ec7nh; [7] C\u00e1c\n\u1ee9ng d\u1ee5ng v\u00e0o \u0111\u1eddi s\u1ed1ng m\u00e0 kh\u00f4ng nh\u1ea5t thi\u1ebft ph\u1ee5c v\u1ee5 ho\u1ea1t \u0111\u1ed9ng kinh doanh\u2026<\/p>\n\n\n\n

    \u00d4ng Albert Antoine cho r\u1eb1ng: \u201cVi\u1ec7t Nam l\u00e0 qu\u1ed1c gia c\u00f3 ti\u1ec1m n\u0103ng l\u1edbn \u0111\u1ec3 ph\u00e1t tri\u1ec3n ng\u00e0nh C\u00f4ng nghi\u1ec7p Tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o v\u00e0 D\u1eef li\u1ec7u v\u00ec c\u00f3 ngu\u1ed3n nh\u00e2n l\u1ef1c tr\u1ebb, h\u1ecdc h\u1ecfi nhanh v\u00e0 t\u01b0 duy To\u00e1n h\u1ecdc t\u1ed1t. H\u1ecd c\u1ea7n th\u00eam s\u1ef1 d\u00ecu d\u1eaft c\u1ee7a ng\u01b0\u1eddi c\u00f3 kinh nghi\u1ec7m \u0111\u1ec3 \u0111i cho \u0111\u00fang \u0111\u01b0\u1eddng. T\u1ea1i Hu\u1ebf n\u00f3i ri\u00eang v\u00e0 Vi\u1ec7t Nam n\u00f3i chung, \u0111\u1ea7u t\u01b0 nhi\u1ec1u v\u00e0o ngu\u1ed3n nh\u00e2n l\u1ef1c kh\u00f4ng \u0111\u01a1n thu\u1ea7n ch\u1ec9 l\u00e0 d\u1ea1y c\u00e1c em \u0111i\u1ec1u g\u00ec t\u1ed1t h\u01a1n m\u00e0 quan tr\u1ecdng l\u00e0 t\u1ea1o cho c\u00e1c em c\u01a1 h\u1ed9i th\u1ef1c h\u00e0nh th\u00f4ng qua d\u1ef1 \u00e1n c\u1ee5 th\u1ec3, t\u1eeb \u0111\u00f3 c\u00e1c em c\u00f3 th\u00eam c\u01a1 h\u1ed9i h\u1ecdc h\u1ecfi v\u00e0 trau d\u1ed3i kinh nghi\u1ec7m. V\u1eady n\u00ean, \u0111\u1ec3 ph\u00e1t tri\u1ec3n nhanh h\u01a1n trong l\u0129nh v\u1ef1c AI\/Data c\u1ea7n \u0111\u1ed3ng h\u00e0nh c\u00f9ng c\u00e1c \u00f4ng l\u1edbn c\u00f4ng ngh\u1ec7 c\u1ee7a th\u1ebf gi\u1edbi v\u00e0 trong n\u01b0\u1edbc (nh\u01b0 t\u1eadp \u0111o\u00e0n FPT). Cu\u1ed1i c\u00f9ng, nh\u1eafc \u0111\u1ebfn AI l\u00e0 nh\u1eafc \u0111\u1ebfn Data, \u0111i\u1ec1u khi\u1ebfn cho nhi\u1ec1u doanh nghi\u1ec7p ch\u00f9n b\u01b0\u1edbc nh\u01b0ng n\u1ebfu ch\u00fang ta chu\u1ea9n b\u1ecb c\u00e0ng s\u1edbm th\u00ec c\u01a1 h\u1ed9i c\u1ee7a ch\u00fang ta s\u1ebd c\u00e0ng nhi\u1ec1u\u201d.<\/p>\n\n\n\n

    Di\u1ec5m Ch\u00e2u bi\u00ean so\u1ea1n<\/em><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

    \u00d4NG ALBERT ANTONIE: TRI\u1ec2N KHAI \u1ee8NG D\u1ee4NG TR\u00cd TU\u1ec6 NH\u00c2N T\u1ea0O V\u00c0 D\u1eee LI\u1ec6U, CHU\u1ea8N B\u1eca C\u00c0NG S\u1edaM C\u01a0 H\u1ed8I C\u00c0NG NHI\u1ec0U \u00d4ng Albert Antoine…<\/p>\n","protected":false},"author":2,"featured_media":5624,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"_links":{"self":[{"href":"https:\/\/jmcspace.com\/index.php\/wp-json\/wp\/v2\/posts\/5621"}],"collection":[{"href":"https:\/\/jmcspace.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jmcspace.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jmcspace.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/jmcspace.com\/index.php\/wp-json\/wp\/v2\/comments?post=5621"}],"version-history":[{"count":0,"href":"https:\/\/jmcspace.com\/index.php\/wp-json\/wp\/v2\/posts\/5621\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/jmcspace.com\/index.php\/wp-json\/"}],"wp:attachment":[{"href":"https:\/\/jmcspace.com\/index.php\/wp-json\/wp\/v2\/media?parent=5621"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jmcspace.com\/index.php\/wp-json\/wp\/v2\/categories?post=5621"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jmcspace.com\/index.php\/wp-json\/wp\/v2\/tags?post=5621"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}