{"id":9480,"date":"2024-12-04T10:58:14","date_gmt":"2024-12-04T09:58:14","guid":{"rendered":"https:\/\/neodatagroup.ai\/?p=9480"},"modified":"2024-12-04T10:58:15","modified_gmt":"2024-12-04T09:58:15","slug":"generative-ai-2025-is-the-year-of-adoption","status":"publish","type":"post","link":"https:\/\/neodatagroup.ai\/it\/generative-ai-2025-is-the-year-of-adoption\/","title":{"rendered":"Generative AI : Il 2025 \u00e8 l\u2019anno dell\u2019adozione"},"content":{"rendered":"<h2 class=\"simpletoc-title\">Indice<\/h2>\n<ul class=\"simpletoc-list\">\n<li><a href=\"#adoption-and-experimentation-on-the-rise\">Adozione e Sperimentazione in Crescita<\/a>\n\n<\/li>\n<li><a href=\"#evolving-perceptions\">Percezioni in Evoluzione<\/a>\n\n<\/li>\n<li><a href=\"#impact-and-key-applications\">Impatto e Principali Applicazioni<\/a>\n\n<\/li>\n<li><a href=\"#investment-and-roi\">Investimenti e ROI<\/a>\n\n<\/li>\n<li><a href=\"#chief-ai-officer-caio-una-nuova-leadership-per-lintelligenza-artificiale\">Chief AI Officer (CAIO): Una Nuova Leadership per l\u2019Intelligenza Artificiale<\/a>\n\n<\/li>\n<li><a href=\"#usage-policies-and-guidelines\">Politiche di Utilizzo e Linee Guida<\/a>\n\n<\/li>\n<li><a href=\"#the-road-ahead\">La Strada da Percorrere<\/a>\n<\/li><\/ul>\n\n\n<p>Se il 2023 \u00e8 stato l\u2019anno dell\u2019hype e il 2024 \u00e8 stato l\u2019anno della sperimentazione, <strong>il 2025 sar\u00e0 l\u2019anno dell\u2019adozione dell\u2019intelligenza artificiale generativa<\/strong>, questo secondo lo studio condotto dalla Wharton University   e GBK Collective.<\/p>\n\n\n\n<p>Lo studio, basato su un'indagine condotta su oltre 800 managers di aziende con sede negli Stati Uniti, rivela un'impennata nell'utilizzo della Gen AI in vari reparti, spinta dalle aspettative di aumento della produttivit\u00e0 e di miglioramento dell'esperienza dei clienti. Il rapporto analizza anche le tendenze di investimento, le strategie interne e le percezioni dei principali fornitori di IA e l'evoluzione del ruolo dei Chief AI Officer. Vediamo insieme alcuni degli insights pi\u00f9 interessanti.<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"adoption-and-experimentation-on-the-rise\"><strong>Adozione e Sperimentazione in Crescita<\/strong><\/h2>\n\n\n<p>Il <strong>72%<\/strong> dei decision maker utilizza Gen AI almeno una volta a settimana, rispetto al 37% del 2023. Un balzo notevole nonostante il  passaggio dalla fase di <strong>\u201chype\u201d<\/strong> iniziale a un approccio pi\u00f9 mirato a dimostrare il <strong>ROI<\/strong> e valutare le performance concrete della tecnologia.Oggi, la Gen AI \u00e8 impiegata in diverse funzioni aziendali come Marketing, Operazioni e HR, settori che nel 2023 erano ancora in ritardo, il grafico sotto mostra in dettaglio la crescita nei diversi dipartimenti aziendali.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"707\" height=\"491\" src=\"https:\/\/neodatagroup.ai\/wp-content\/uploads\/2024\/12\/Immagine-2024-12-02-122036.png\" alt=\"\" class=\"wp-image-9481\"\/><\/figure>\n\n\n<h2 class=\"wp-block-heading\" id=\"evolving-perceptions\"><strong>Percezioni in Evoluzione<\/strong><\/h2>\n\n\n<p>Con l'aumentare dell'esperienza pratica, anche le percezioni nei confronti della Gen AI sono cambiate. I decision maker si dichiarano sempre pi\u00f9 <strong>\"soddisfatti\", \"entusiasti\" e \"ottimisti\"<\/strong> riguardo al suo potenziale. Le percezioni negative si stanno attenuando e cresce la fiducia nella capacit\u00e0 della Gen AI di potenziare i ruoli lavorativi anzich\u00e9 sostituirli. Interessante notare il calo dei sentimenti di \"cautela\" e \"curiosit\u00e0,\" un chiaro segnale che l\u2019AI Generativa sta diventando parte integrante delle operazioni aziendali.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img decoding=\"async\" width=\"822\" height=\"495\" src=\"https:\/\/neodatagroup.ai\/wp-content\/uploads\/2024\/12\/1982e248-f29b-4a3a-916e-44571c887028.png\" alt=\"\" class=\"wp-image-9482\" style=\"width:840px;height:auto\"\/><\/figure>\n\n\n<h2 class=\"wp-block-heading\" id=\"impact-and-key-applications\"><strong>Impatto e Principali Applicazioni<\/strong><\/h2>\n\n\n<p>Sebbene la Gen AI venga percepita come significativa, \u00e8 considerata <strong>\"altamente impattante\"<\/strong> solo in ambiti specifici, come l'IT, . Le principali applicazioni includono la scrittura e modifica di documenti, l'analisi dei dati e la sintesi di riunioni o documenti. Tuttavia, lo studio evidenzia che le performance migliori si registrano in ambiti come analisi dati, brainstorming, generazione di contratti legali, rilevamento di frodi e creazione di email.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"700\" height=\"492\" src=\"https:\/\/neodatagroup.ai\/wp-content\/uploads\/2024\/12\/Immagine-2024-12-02-121847.png\" alt=\"\" class=\"wp-image-9483\"\/><\/figure>\n\n\n<h2 class=\"wp-block-heading\" id=\"investment-and-roi\"><strong>Investimenti e ROI<\/strong><\/h2>\n\n\n<p>La spesa per la Gen AI \u00e8 aumentata del<strong> 130% <\/strong>rispetto al 2023, con il <strong>72%<\/strong> delle aziende intenzionate a incrementare ulteriormente i budget nel 2025. Tuttavia, il <strong>57%<\/strong> prevede un rallentamento nel lungo termine, spostando l\u2019attenzione sull\u2019ottimizzazione degli investimenti interni e sulla creazione di strutture organizzative che garantiscano un\u2019implementazione sostenibile. Questo non implica un calo di interesse, ma piuttosto una strategia per massimizzare il valore a lungo termine.<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"chief-ai-officer-caio-una-nuova-leadership-per-lintelligenza-artificiale\"><strong>Chief AI Officer (CAIO): Una Nuova Leadership per l\u2019Intelligenza Artificiale<\/strong><\/h2>\n\n\n<p> Per supportare l\u2019adozione dell\u2019AI, molte aziende stanno introducendo il ruolo del Chief AI Officer (CAIO), una figura chiave responsabile della strategia e dell\u2019implementazione delle tecnologie AI. Il CAIO guida l\u2019innovazione, allinea l\u2019AI agli obiettivi aziendali e supervisiona politiche e progetti per garantire un\u2019adozione responsabile.<\/p>\n\n\n\n<p>Ad oggi, il <strong>21%<\/strong> delle aziende ha gi\u00e0 istituito questo ruolo, con percentuali diverse per dimensione:<\/p>\n\n\n\n<ul>\n<li>Piccole aziende ($50M-$250M): <strong>23%<\/strong><\/li>\n\n\n\n<li>Medie aziende ($250M-$2B): <strong>21%<\/strong><\/li>\n\n\n\n<li>Grandi aziende (oltre $2B): <strong>16%<\/strong><\/li>\n<\/ul>\n\n\n\n<p>Mentre le aziende pi\u00f9 piccole sono in testa in termini di percentuale, le organizzazioni pi\u00f9 grandi stanno definendo lo standard grazie alle loro risorse pi\u00f9 ampie e alle infrastrutture pi\u00f9 complesse, che consentono strategie di IA sofisticate e a lungo termine.<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"usage-policies-and-guidelines\"><strong>Politiche di Utilizzo e Linee Guida<\/strong><\/h2>\n\n\n<p>Lo studio sottolinea anche una mancanza di politiche uniformi sull\u2019uso della Gen AI, specialmente tra le aziende di dimensioni pi\u00f9 piccole. Al contrario, le grandi organizzazioni adottano misure pi\u00f9 rigorose per gestire i rischi e garantire la compliance. Definire politiche di utilizzo pi\u00f9 strutturate sar\u00e0 cruciale con il crescere dell\u2019adozione della Gen AI<strong>.<\/strong><\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"the-road-ahead\"><strong>La Strada da Percorrere<\/strong><\/h2>\n\n\n<p>La Gen AI \u00e8 ancora in una fase iniziale di sviluppo e adozione. Il panorama competitivo della Gen AI \u00e8 in continua trasformazione. Microsoft e Google sono attualmente percepiti come leader, ma altri player, come OpenAI e Amazon, emergono come potenziali sfidanti. L\u2019innovazione continua e le specializzazioni di nicchia potrebbero ridisegnare il mercato nei prossimi anni.<\/p>\n\n\n\n<p>Per sfruttare il pieno potenziale, le aziende devono affrontare sfide legate al ROI, alle implicazioni etiche e alle politiche di utilizzo in evoluzione. Lo studio invita a continuare la sperimentazione e a mantenere alta la vigilanza per adattarsi efficacemente a un panorama in rapido cambiamento.<\/p>","protected":false},"excerpt":{"rendered":"<p>If 2023 marked the year of hype and 2024 was all about experimentation, 2025 is poised to become the year of widespread adoption for Generative AI. This prediction comes from a study conducted by Wharton University and GBK Collective on the state of generative AI. Based on a survey of over 800 managers from U.S.-based [&hellip;]<\/p>","protected":false},"author":8,"featured_media":9489,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[53,33],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.9.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Generative AI: 2025 is the Year of Adoption - Neodata<\/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:\/\/neodatagroup.ai\/it\/generative-ai-2025-is-the-year-of-adoption\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Generative AI: 2025 is the Year of Adoption - Neodata\" \/>\n<meta property=\"og:description\" content=\"If 2023 marked the year of hype and 2024 was all about experimentation, 2025 is poised to become the year of widespread adoption for Generative AI. 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