{"id":678,"date":"2018-06-01T16:24:45","date_gmt":"2018-06-01T16:24:45","guid":{"rendered":"https:\/\/www.scpragmatik.com\/?p=678"},"modified":"2022-06-03T05:59:45","modified_gmt":"2022-06-03T05:59:45","slug":"intelligence-artificielle-et-data-science-des-leviers-pour-transformer-nos-facons-de-faire","status":"publish","type":"post","link":"https:\/\/www.scpragmatik.com\/fr\/articles\/intelligence-artificielle-et-data-science-des-leviers-pour-transformer-nos-facons-de-faire\/","title":{"rendered":"Intelligence artificielle et Data Science : des leviers pour transformer nos fa\u00e7ons de faire"},"content":{"rendered":"

Nul ne peut nier l\u2019engouement m\u00e9diatique pour l\u2019intelligence artificielle (IA) et la science des donn\u00e9es (Data Science<\/em>). Avec un leadership acad\u00e9mique tr\u00e8s actif et un \u00e9cosyst\u00e8me d\u00e9di\u00e9 au sujet, Montr\u00e9al est d\u00e9j\u00e0 reconnu comme un p\u00f4le dominant en Am\u00e9rique du Nord.<\/p>\n

Mais, entre les visions alarmistes de d\u00e9su\u00e9tude humaine imminente et les d\u00e9nonciations de fausses nouvelles, quelle est la contribution effective de ces sp\u00e9cialit\u00e9s pour les entreprises ?<\/p>\n

Entre mythe et r\u00e9alit\u00e9<\/strong><\/h2>\n

Malgr\u00e9 ses promesses, l\u2019IA est encore bien loin d\u2019une r\u00e9plique qui \u00e9gale l\u2019\u00eatre humain. Il s\u2019agit essentiellement d\u2019une application algorithmique de m\u00e9thodes connues depuis un demi-si\u00e8cle en statistiques, alg\u00e8bre lin\u00e9aire et calcul diff\u00e9rentiel.<\/p>\n

L\u2019apprentissage profond, forme la plus comparable au cerveau humain, n\u2019est applicable qu\u2019\u00e0 l\u2019atteinte d\u2019objectifs tr\u00e8s sp\u00e9cifiques. On demeure incapable de r\u00e9pliquer la puissance et la polyvalence du cerveau biologique aliment\u00e9 en temps r\u00e9el par les multiples sens du corps humain.<\/p>\n

L\u2019apprentissage machine \u00e0 l\u2019\u00e8re du Big Data<\/em><\/strong><\/h2>\n

L\u2019IA s\u2019est historiquement heurt\u00e9e aux limites de capacit\u00e9 de traitement et d\u2019acc\u00e8s aux donn\u00e9es. Chaque entreprise pr\u00e9servant jalousement ses donn\u00e9es, l\u2019av\u00e8nement de l\u2019internet a tout chang\u00e9. En quelques ann\u00e9es, les donn\u00e9es sont devenues massivement ouvertes et publiques. Avec l’\u00e9mergence de processeurs vectoriels puissants et de r\u00e9seaux sans-fils r\u00e9pandus, l\u2019innovation en mobilit\u00e9, infonuagique et objets interconnect\u00e9s a d\u00e9cupl\u00e9 les possibilit\u00e9s.<\/p>\n

Le partage ainsi simplifi\u00e9 a permis la cr\u00e9ation massive de donn\u00e9es publiques qui facilitent l\u2019entra\u00eenement supervis\u00e9 d\u2019algorithmes d\u2019apprentissage machine. Combin\u00e9 \u00e0 l\u2019\u00e9volution de la science des donn\u00e9es, une multitude de bots et de solutions novatrices sont aujourd’hui partag\u00e9s d\u2019un clic sur nos mobiles, tablettes, montres, v\u00e9hicules et autres appareils \u00e9lectroniques.<\/p>\n

Donn\u00e9e\u00a0: cl\u00e9 de voute du potentiel de l\u2019IA<\/strong><\/h2>\n

L\u2019IA \u00e9tant une application d\u2019algorithmes ax\u00e9s sur la recherche d\u2019affinit\u00e9s dans les donn\u00e9es, il est impossible de profiter de son potentiel sans elles. M\u00eame les algorithmes les plus \u00ab\u00a0intelligents\u00a0\u00bb demeurent inutiles sans donn\u00e9e pertinente, fiable et en quantit\u00e9 suffisante.<\/p>\n

L\u2019apprentissage machine est puissant pour l\u2019interpr\u00e9tation de donn\u00e9es complexes ou volumineuses, lorsque les crit\u00e8res de classification sont stables. Il est particuli\u00e8rement rentable lorsqu\u2019utilis\u00e9 l\u00e0 o\u00f9 l\u2019humain perd son avantage :<\/p>\n

    \n
  • Pr\u00e9dire et combler les donn\u00e9es manquantes \u00e0 de volumineuses bases de donn\u00e9es existantes en fonction des similitudes d\u00e9tect\u00e9es avec d\u2019autres sources publiques ;<\/li>\n
  • Traiter des demandes re\u00e7ues par voie \u00e9lectronique afin de d\u00e9terminer leur admissibilit\u00e9, identifier le sujet ou service vis\u00e9, fournir une r\u00e9ponse pr\u00e9\u00e9tablie ou r\u00e9acheminer la demande hors-norme \u00e0 un expert ;<\/li>\n
  • Analyser une multitude de donn\u00e9es en temps r\u00e9el pour coordonner des actions rapides sur de longues p\u00e9riodes continues (ex.\u00a0: cha\u00eenes de production, entreposage, supervision) ;<\/li>\n
  • Identifier des patterns<\/em> ou pr\u00e9dire des tendances \u00e0 partir d\u2019un grand volume de donn\u00e9es structur\u00e9es ou non structur\u00e9es (ex.\u00a0: achat\/vente de titres boursiers, d\u00e9tection de fraudes, analyse d\u2019opinions de consommateurs, coordination de trafic) ;<\/li>\n
  • Assister l\u2019expertise humaine pour une meilleure prise de d\u00e9cision dans des domaines complexes, risqu\u00e9s ou lorsque l\u2019expertise est rare (ex.\u00a0: antiterrorisme, cybers\u00e9curit\u00e9, diagnostic m\u00e9dical, pilotage, pr\u00e9visions climatiques ou m\u00e9t\u00e9orologiques) ;<\/li>\n
  • Simplifier l\u2019interaction par traduction de la voix ou l\u2019interpr\u00e9tation de la posture, des gestes ou des ondes c\u00e9r\u00e9brales ;<\/li>\n
  • Bonifier et raffiner par renforcement continu des actions r\u00e9p\u00e9titives programm\u00e9es (RPA<\/em>, WPA<\/em>, bot) ou des scripts d\u2019interaction virtuelle (chatbot<\/em>).<\/li>\n<\/ul>\n

    Vers l\u2019emploi 4.0<\/strong><\/h2>\n

    \u00c0 l\u2019\u00e8re de l\u2019\u00e9conomie du savoir, peu d\u2019organisations profitent de la capacit\u00e9 intellectuelle de leurs employ\u00e9s, plusieurs souvent condamn\u00e9s des t\u00e2ches quotidiennes abrutissantes. Avec la capacit\u00e9 d\u00e9montr\u00e9e des algorithmes intelligents et des automates, tout employeur aurait plut\u00f4t avantage \u00e0 doter ses employ\u00e9s de tels outils pour augmenter leur comp\u00e9tence et leur efficience.<\/p>\n

     <\/p>\n

    Cet article a initialement \u00e9t\u00e9 r\u00e9dig\u00e9 pour le Bulletin Printemps-\u00c9t\u00e9 2018 de E3 Services Conseils.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

    Nul ne peut nier l\u2019engouement m\u00e9diatique pour l\u2019intelligence artificielle (IA) et la science des donn\u00e9es (Data Science). Mais, entre les visions alarmistes de d\u00e9su\u00e9tude humaine imminente et les d\u00e9nonciations de fausses nouvelles, quelle est la contribution effective de ces sp\u00e9cialit\u00e9s pour les entreprises ?…<\/p>\n","protected":false},"author":5,"featured_media":680,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[8,5],"tags":[],"class_list":["post-678","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles","category-transfo-num"],"acf":[],"yoast_head":"\nIntelligence artificielle et Data Science : des leviers pour transformer nos fa\u00e7ons de faire | Pragmatik<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.scpragmatik.com\/fr\/articles\/intelligence-artificielle-et-data-science-des-leviers-pour-transformer-nos-facons-de-faire\/\" \/>\n<meta property=\"og:locale\" content=\"fr_CA\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Intelligence artificielle et Data Science : des leviers pour transformer nos fa\u00e7ons de faire | Pragmatik\" \/>\n<meta property=\"og:description\" content=\"Nul ne peut nier l\u2019engouement m\u00e9diatique pour l\u2019intelligence artificielle (IA) et la science des donn\u00e9es (Data Science). 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