{"id":127182,"date":"2023-10-12T16:08:20","date_gmt":"2023-10-12T14:08:20","guid":{"rendered":"https:\/\/fotc.com\/?p=127182"},"modified":"2023-10-12T16:08:30","modified_gmt":"2023-10-12T14:08:30","slug":"machine-learning-vs-ai","status":"publish","type":"post","link":"https:\/\/fotc.com\/ro\/blog\/machine-learning-vs-ai\/","title":{"rendered":"Machine learning vs AI &#8211; care sunt diferen\u021bele dintre cele dou\u0103?"},"content":{"rendered":"\n<p>\u00cenv\u0103\u021barea automat\u0103 (ML) \u0219i inteligen\u021ba artificial\u0103 (IA) sunt dou\u0103 dintre cele mai populare tehnologii din prezent. \u0218i pentru un motiv \u00eentemeiat: pentru c\u0103 au poten\u021bialul de a revolu\u021biona modul \u00een care opereaz\u0103 afacerile. Mult\u0103 lume confund\u0103 cei doi termeni, \u00een special c\u00e2nd discut\u0103 despre big data, analize predictive sau alte subiecte legate de transformare digital\u0103. \u0218i pe bun\u0103 dreptate, dat fiind c\u0103 sunt \u0219i oarecum str\u00e2ns lega\u021bi. Totu\u0219i, din multe puncte de vedere, cele dou\u0103 tehnologii difer\u0103 de la domeniul, la aplica\u021bii \u0219i multe altele. <strong>Care sunt mai exact diferen\u021bele machine learning vs AI? Ce \u00eenseamn\u0103 ace\u0219ti termeni pentru partea practic\u0103 a organiza\u021biilor din ziua de ast\u0103zi? <\/strong>Vom explora pe larg cele dou\u0103 concepte \u0219i prin ce anume se diferen\u021biaz\u0103 unul de altul.<\/p>\n\n\n\n<h2>S\u0103 definim \u00eent\u00e2i machine learning \u0219i AI<\/h2>\n\n\n\n<h3 id=\"h-ce-este-inteligen-a-artificial-ai-ia\">Ce este inteligen\u021ba artificial\u0103 (AI\/IA)?<\/h3>\n\n\n\n<p><strong>AI reprezint\u0103 un domeniu larg, care se refer\u0103 \u00een mare la capacitatea ma\u0219inilor de a imita inteligen\u021ba uman\u0103. <\/strong>Prin AI, ma\u0219inile \u0219i calculatoarele deprind abilit\u0103\u021bi precum capacitatea de a vedea, \u00een\u021belege \u0219i r\u0103spunde la limbaj vorbit sau scris, de a analiza datelor sau de a face recomand\u0103ri personalizate \u0219i multe altele.<\/p>\n\n\n\n<p>De\u0219i inteligen\u021ba artificial\u0103 este v\u0103zut\u0103 mai degrab\u0103 ca un sistem de sine st\u0103t\u0103tor, este mai degrab\u0103 un set de tehnologii care pot \u00eenv\u0103\u021ba ra\u021bionamentul, comunicare natural\u0103 \u0219i rezolvarea problemelor complexe.<\/p>\n\n\n\n<h3>Ce este machine learning?<\/h3>\n\n\n\n<p>De altfel, c\u00e2nd companiile vorbesc despre AI, se refer\u0103 adesea la \u201dantrenarea datelor\u201d pentru a automatiza modele de predic\u021bie. Dar ce \u00eenseamn\u0103 acest lucru? Predic\u021bia AI devine mai bun\u0103 \u00een timp pe m\u0103sur\u0103 ce este hr\u0103nit\u0103 \u0219i antrenat\u0103 cu noi date. <strong>Aici <a href=\"https:\/\/fotc.com\/ro\/blog\/machine-learning\/\" class=\"ek-link\">intr\u0103 \u00een scen\u0103 machine learning,<\/a> un subset al inteligen\u021bei artificiale. <\/strong>Algoritmii ML sunt antrena\u021bi pe date pentru a identifica modele \u0219i rela\u021bii \u00eentre acestea. Odat\u0103 antrena\u021bi<strong>, <\/strong>ace\u0219ti algoritmi pot fi utiliza\u021bi pentru a face predic\u021bii sau decizii cu privire la date noi.<\/p>\n\n\n\n<p>Companiile \u0219i utilizatorii deopotriv\u0103 folosesc \u00een prezent machine learning la o multitudine de lucruri. C\u00e2nd folosi\u021bi bancomatul, face\u021bi cump\u0103r\u0103turi online sau utiliza\u021bi servicii medicale online, algoritmii de \u00eenv\u0103\u021bare automat\u0103 v\u0103 creeaz\u0103 automat o experien\u021b\u0103 eficient\u0103 \u0219i sigur\u0103.<\/p>\n\n\n\n<h2>Cum sunt astfel conectate AI \u0219i ML?<\/h2>\n\n\n\n<p>De\u0219i exist\u0103 o oarecare suprapunere \u00eentre AI \u0219i \u00eenv\u0103\u021barea automat\u0103, acestea sunt dou\u0103 concepte distincte. Cel mai simplu exemplu pentru a \u00een\u021belege modul \u00een care AI \u0219i ML rela\u021bioneaz\u0103 este:<\/p>\n\n\n\n<ul><li><strong>AI permite ma\u0219inilor s\u0103 ra\u021bioneze, s\u0103 ac\u021bioneze sau s\u0103 se adapteze la fel ca un om<\/strong><\/li><li><strong>Machine learning este o aplica\u021bie AI care permite ma\u0219inilor s\u0103 extrag\u0103 cuno\u0219tin\u021be din date \u0219i s\u0103 \u00eenve\u021be din acestea \u00een mod autonom<\/strong><\/li><\/ul>\n\n\n\n<p>Practic, v\u0103 pute\u021bi imagina c\u0103 \u00eenv\u0103\u021barea automat\u0103 se afl\u0103 sub categoria umbrel\u0103 inteligen\u021b\u0103 artificial\u0103. Aceasta din urm\u0103 acoper\u0103 o mare varietate de abord\u0103ri \u0219i algoritmi specifici. \u00cenv\u0103\u021barea automat\u0103 este parte din ea, al\u0103turi de alte subdomenii majore precum \u00eenv\u0103\u021barea profund\u0103 (deep learning), robotica, sistemele expert \u0219i procesarea limbajului natural (NLP).<\/p>\n\n\n\n<h2>Cum se diferen\u021biaz\u0103 Machine learning \u0219i AI?<\/h2>\n\n\n\n<p>\u00cen timp ce AI reprezint\u0103 capacitatea unei ma\u0219ini de a imita inteligen\u021ba uman\u0103, machine learning nu poate face acest lucru. Prin \u00eenv\u0103\u021barea automat\u0103, ma\u0219inile sunt \u00eenv\u0103\u021bate s\u0103 \u00eendeplineasc\u0103 o anumit\u0103 sarcin\u0103 \u0219i, ulterior, s\u0103 extrag\u0103 rezultate prin identificarea tiparelor din date. Spre exemplu, o companie poate folosi inteligen\u021ba artificial\u0103 pentru a realiza sarcini. O aceea\u0219i companie va utiliza ML pentru a analiza traficul \u00een timp real \u0219i pentru a identifica tiparele de consum.<\/p>\n\n\n\n<p>Din lista de mai jos, ve\u021bi putea \u00een\u021belege mai bine practicalitatea celor dou\u0103 tehnologii.<\/p>\n\n\n\n<h3>Inteligen\u0163a artificial\u0103<\/h3>\n\n\n\n<ul><li>AI permite ca o ma\u0219in\u0103 s\u0103 simuleze inteligen\u021ba uman\u0103 pentru a rezolva probleme<\/li><li>Scopul este de a dezvolta un sistem inteligent capabil s\u0103 \u00eendeplineasc\u0103 sarcini complexe<\/li><li>Cu AI, pute\u021bi construi sisteme care pot rezolva sarcini complexe \u00een aceea\u0219i manier\u0103 \u00een care ar face-o un operator uman<\/li><li>AI are o gam\u0103 larg\u0103 de aplica\u021bii<\/li><li>AI func\u021bioneaz\u0103 cu toate tipurile de date: structurate, semistructurate \u0219i nestructurate<\/li><li>Sistemele AI folosesc logica \u0219i arbori de decizie pentru a \u00eenv\u0103\u021ba, a ra\u021biona \u0219i a se autocorecta<\/li><\/ul>\n\n\n\n<h3>\u00cenv\u0103\u021barea automat\u0103<\/h3>\n\n\n\n<ul><li>ML permite unei ma\u0219ini s\u0103 \u00eenve\u021be \u00een mod autonom din date ob\u021binute anterior<\/li><li>ML cre\u0219te acurate\u021bea rezultatelor<\/li><li>\u00cenv\u0103\u021barea automat\u0103 are un domeniu limitat de aplica\u021bii<\/li><li>ML folose\u0219te algoritmi de auto\u00eenv\u0103\u021bare pentru a produce modele predictive<\/li><li>ML poate folosi numai date structurate \u0219i semistructurate<\/li><li>Sistemele ML se bazeaz\u0103 pe modele statistice pentru a \u00eenv\u0103\u021ba \u0219i se pot autocorecta atunci c\u00e2nd le sunt furnizate date noi<\/li><\/ul>\n\n\n\n<h2>Utilizarea AI \u0219i ML \u00een cloud<\/h2>\n\n\n\n<p>Inteligen\u021ba artificial\u0103 \u0219i \u00eenv\u0103\u021barea automat\u0103 sunt din ce \u00een ce mai folosite \u00een cloud. <a href=\"https:\/\/fotc.com\/ro\/google-cloud-platform\/\" class=\"ek-link\">Google Cloud<\/a>, unul dintre cei mai mari furnizori de servicii cloud computing de pe pia\u021b\u0103, ofer\u0103 o serie de avantaje pentru companiile care doresc s\u0103 adopte aceste tehnologii:<\/p>\n\n\n\n<p><strong>Scalabilitate.<\/strong> \u00cen cloud, \u00eenc\u0103rc\u0103turile de lucru AI \u0219i ML se pot ajuta \u00een plus sau \u00een minus, dup\u0103 necesitate. O astfel de caracteristic\u0103 este important\u0103 pentru companiile care se confrunt\u0103 cu o cre\u0219tere rapid\u0103 de trafic sau fluctua\u021bii sezoniere ale cererii.<\/p>\n\n\n\n<p><strong>Elasticitate. <\/strong>Cloud-ul ofer\u0103, de asemenea, elasticitate pentru sarcinile de lucru AI \u0219i ML. Aceasta se traduce \u00een faptul c\u0103 organiza\u021biile pl\u0103tesc doar pentru resursele de care au nevoie, atunci c\u00e2nd au nevoie de ele. Astfel, pute\u021bi reduce costurile \u0219i \u00eembun\u0103t\u0103\u021bi eficien\u021ba serviciilor dvs.\u00a0<\/p>\n\n\n\n<p><strong>Agilitate.<\/strong> Google Cloud faciliteaz\u0103 pentru companii implementarea de noi aplica\u021bii AI \u0219i ML. Acest lucru se datoreaz\u0103 faptului c\u0103 companiile pot folosi servicii cloud \u0219i infrastructura preconstruite pentru a \u00eencepe. Cu Google, companiile pot intermedia aproape 200 de servicii gata construite pentru a-\u0219i lansa afacerile sau aplica\u021biile.<\/p>\n\n\n\n<h2>Produse Google Cloud pentru AI \u0219i ML<\/h2>\n\n\n\n<p>Google Cloud ofer\u0103 \u0219i o gam\u0103 larg\u0103 de produse \u0219i servicii pentru AI \u0219i ML, inclusiv:<\/p>\n\n\n\n<ul><li><a href=\"https:\/\/fotc.com\/ro\/blog\/vertex-ai\/\" class=\"ek-link\">Vertex AI<\/a>. O platform\u0103 de \u00eenv\u0103\u021bare automat\u0103 gestionat\u0103 end-to-end, care ajut\u0103 companiile s\u0103 construiasc\u0103, s\u0103 antreneze, s\u0103 implementeze \u0219i s\u0103 gestioneze modele ML. Cu Vertex AI, compania dvs. poate construi noi modele de \u00eenv\u0103\u021bare automat\u0103 cu AI generativ.\u00a0<\/li><li>AI Platform. Un set de servicii care ajut\u0103 companiile s\u0103 construiasc\u0103 \u0219i s\u0103 implementeze modele ML, inclusiv modele pre-instruite, instruire personalizat\u0103 \u0219i management de model.<\/li><li>Cloud TPU: Acceleratoare de \u00eenv\u0103\u021bare automat\u0103, proiectate la comand\u0103, care pot ajuta companiile s\u0103 antreneze \u0219i s\u0103 ruleze modele ML mai rapid \u0219i mai eficient.<\/li><li><a href=\"https:\/\/fotc.com\/ro\/blog\/contact-center-ai\/\" class=\"ek-link\">Contact Center AI<\/a>: O solu\u021bie Google Cloud care folose\u0219te inteligen\u021ba artificial\u0103 pentru a sus\u021bine \u0219i \u00eembun\u0103t\u0103\u021bi procesele ce \u021bin de serviciile dedicate clien\u021bilor.\u00a0<\/li><li><a href=\"https:\/\/fotc.com\/ro\/blog\/vision-ai\/\" class=\"ek-link\">Vision AI<\/a>: O solu\u021bie AI care folose\u0219te algoritmi de \u00eenv\u0103\u021bare automat\u0103 pentru a analiza \u0219i \u00een\u021belege con\u021binut vizual.<\/li><\/ul>\n\n\n<div class=\"bg-yellow banners mt-4 mb-4\">\r\n  <div class=\"container \">\r\n    <div class=\"row sw\">\r\n        <div class=\"col-md-7 sw col-12 mb-md-0\">\r\n        <span style=\"margin-bottom: 1rem;\r\n    font-weight: 500;margin-top: 25px;\r\n    line-height: 1.1;\r\n    font-size: 2rem; display: block; color:#fff\">Adopta\u021bi solu\u021bii de machine learning \u0219i inteligen\u021b\u0103 artificial\u0103<\/span>\r\n        <\/div>\r\n        <div class=\"col-md-5 sw sww\">\r\n        <img style=\"margin-top:25px;\" src=\"\/app\/uploads\/2023\/02\/FOTC-LOGO-WWW-RGB-RED-2.png\">\r\n        <\/div>\r\n        <\/div>\r\n        <div class=\"row\">\r\n          <div class=\"col-md-7\"><p style=\"color:#fff\">Cu Google Cloud \u0219i FOTC<\/p><\/div>\r\n        <div class=\"col-md-5 col-12 text-cent-right\">\r\n        <a class=\"newbtn bannerbtn\" href=\"https:\/\/fotc.com\/ro\/contact\/\">Planifica\u021bi o discu\u021bie<\/a>\r\n        \r\n        <\/div>\r\n    <\/div>\r\n  <\/div>\r\n<\/div>\n\n\n<h2>Cum pute\u021bi adopta machine learning \u0219i AI \u00een afacerea dvs?<\/h2>\n\n\n\n<p>C\u00e2teva exemple practice ale acestor produse Google Cloud ar fi:<\/p>\n\n\n\n<ul><li>Un magazin de e-comer\u021b poate folosi Vertex AI pentru a \u00een\u021belege de ce pierde clien\u021bi. Modelul poate fi folosit pentru a identifica utilizatorii care sunt preg\u0103ti\u021bi s\u0103 nu achizi\u021bioneze produsele companiei, pentru ca apoi aceasta s\u0103 g\u0103seasc\u0103 noi promo\u021bii atr\u0103g\u0103toare pentru a-i p\u0103stra pe ace\u0219tia drept clien\u021bi.<\/li><li>AI Platform din Google Cloud poate fi folosit spre exemplu de o clinic\u0103 medical\u0103 pentru a construi \u0219i implementa un model de \u00eenv\u0103\u021bare automat\u0103 care poate diagnostica boli. O astfel de aplica\u021bie a modelului poate sus\u021bine munca doctorilor \u0219i poate ajuta la diagnosticarea corect\u0103 \u0219i mai rapid\u0103 a pacien\u021bilor.\u00a0<\/li><li>Vision AI poate fi o solu\u021bie preventiv\u0103 pentru industria de produc\u021bie. Cu un astfel de sistem, se pot identifica poten\u021biale probleme ale echipamentelor \u0219i se poate interveni \u00eenainte ca acestea s\u0103 se defecteze. Astfel, o companie poate reduce timpii de nefunc\u021bionare petrecu\u021bi pentru depanaj \u0219i poate cre\u0219te \u00een general produc\u021bia.<\/li><\/ul>\n\n\n\n<h2>Solu\u021bii Google Cloud pentru provoc\u0103rile cu care se confrunt\u0103 compania dvs.\u00a0<\/h2>\n\n\n\n<p>At\u00e2t machine learning, c\u00e2t \u0219i inteligen\u021ba artificial\u0103 sunt tehnologii puternice care pot sus\u021bine munca, eficien\u021ba \u0219i profitul unei companii digitale. Dac\u0103 lua\u021bi \u00een calcul s\u0103 adopta\u021bi aceste tehnologii cloud computing, lua\u021bi \u00een calcul produsele \u0219i serviciile Google Cloud. <a href=\"https:\/\/fotc.com\/ro\/contact\/\" class=\"ek-link\">Discuta\u021bi cu un specialist \u00een v\u00e2nz\u0103ri FOTC<\/a> Rom\u00e2nia pentru a g\u0103si o solu\u021bie care s\u0103 v\u0103 ajute s\u0103 v\u0103 concentra\u021bi asupra sarcinilor care conteaz\u0103 cel mai mult.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u00cenv\u0103\u021barea automat\u0103 (ML) \u0219i inteligen\u021ba artificial\u0103 (IA) sunt dou\u0103 dintre cele mai populare tehnologii din prezent. \u0218i pentru un motiv \u00eentemeiat: pentru c\u0103 au poten\u021bialul de a revolu\u021biona modul \u00een care opereaz\u0103 afacerile. Mult\u0103 lume confund\u0103 cei doi termeni, \u00een special c\u00e2nd discut\u0103 despre big data, analize predictive sau alte subiecte legate de transformare digital\u0103. &hellip; <a href=\"https:\/\/fotc.com\/ro\/blog\/machine-learning-vs-ai\/\">Continued<\/a><\/p>\n","protected":false},"author":19,"featured_media":127657,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_editorskit_title_hidden":false,"_editorskit_reading_time":4,"_editorskit_typography_data":[],"_editorskit_blocks_typography":"","_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}"},"categories":[562],"tags":[694,962],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v16.7 (Yoast SEO v19.6) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Machine learning vs AI - care sunt diferen\u021bele dintre ele? | FOTC<\/title>\n<meta name=\"description\" content=\"Machine learning vs AI pentru afaceri. 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