{"id":70829,"date":"2026-10-07T15:12:34","date_gmt":"2026-10-07T14:12:34","guid":{"rendered":"https:\/\/www.irion-edm.com\/?p=70829"},"modified":"2026-10-09T09:55:00","modified_gmt":"2026-10-09T08:55:00","slug":"showcase-denodo-irion","status":"publish","type":"post","link":"https:\/\/www.irion-edm.com\/it\/notizie\/showcase-denodo-irion\/","title":{"rendered":"Dati affidabili per l&#8217;AI: lo showcase dell&#8217;integrazione Denodo-Irion"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Un agente AI \u00e8 affidabile quanto i dati su cui lavora. Per questo, insieme a Denodo, abbiamo realizzato uno showcase che mostra l&#8217;integrazione tra le due soluzioni su un caso concreto: una utility del settore energy con dati su clienti, fatture e impianti, distribuiti tra database, API, cloud, documenti PDF e immagini.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Le 11 clip, di pochi minuti ciascuna, seguono il percorso del dato dall&#8217;inizio alla fine. Nelle prime sette Denodo lo rende accessibile, comprensibile e sicuro. Nelle ultime quattro Irion PDQG ne controlla e ne governa la qualit\u00e0, fino a restituire a Denodo un dato certificato.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Prima parte: accesso, semantica e sicurezza con Denodo<\/h3>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-vimeo wp-block-embed-vimeo wp-embed-aspect-16-9 wp-has-aspect-ratio\" style=\"margin-top:0;margin-right:0;margin-bottom:0;margin-left:0\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"1 - L&amp;apos;AI data layer e l&amp;apos;integrazione Irion-Denodo\" src=\"https:\/\/player.vimeo.com\/video\/1216114570?dnt=1&amp;app_id=122963\" width=\"500\" height=\"281\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>1. L&#8217;AI Data Layer, DQ Governance, l&#8217;integrazione Denodo-Irion.<\/strong> Lo scenario e i ruoli in gioco: data team, team di data quality, team AI e utenti business. \u00c8 la clip da cui partire per avere la mappa dell&#8217;intero percorso.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-default\"\/>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-vimeo wp-block-embed-vimeo wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"2 - L&amp;apos;AI data layer, accesso a qualunque tipologia di dati\" src=\"https:\/\/player.vimeo.com\/video\/1215145552?dnt=1&amp;app_id=122963\" width=\"500\" height=\"281\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>2. L&#8217;AI data layer, accesso a qualunque tipologia di dati.<\/strong> Un database SQL Server, un&#8217;API, Databricks e un database vettoriale vengono interrogati da un unico punto. I dati restano dove sono, senza copie.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-vimeo wp-block-embed-vimeo wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"3 - La semantica e il data product aggregato\" src=\"https:\/\/player.vimeo.com\/video\/1215145553?dnt=1&amp;app_id=122963\" width=\"500\" height=\"281\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>3. La semantica e il data product aggregato.<\/strong> L&#8217;assistente AI di Denodo suggerisce nomi e descrizioni dei campi. I dati strutturati vengono poi uniti a quelli estratti dalle fatture PDF in un unico data product.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-vimeo wp-block-embed-vimeo wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"4 - La sicurezza\" src=\"https:\/\/player.vimeo.com\/video\/1215845686?dnt=1&amp;app_id=122963\" width=\"500\" height=\"281\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>4. La sicurezza.<\/strong> Un tag identifica i dati personali, e una regola di masking si applica a tutti i data product che li contengono. La regola viene definita una sola volta e vale per ogni utilizzo successivo, compresi i controlli di qualit\u00e0.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-vimeo wp-block-embed-vimeo wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"5 - Il Data Marketplace: dati ricercabili, comprensibii, utilizzabili\" src=\"https:\/\/player.vimeo.com\/video\/1215845685?dnt=1&amp;app_id=122963\" width=\"500\" height=\"281\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>5. Il Data Marketplace, tutti i dati ricercabili, comprensibili, utilizzabili.<\/strong> Un utente business cerca il data product che gli serve, ne verifica la provenienza e lo interroga con una richiesta in linguaggio naturale. La query generata viene mostrata e spiegata.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-vimeo wp-block-embed-vimeo wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"6 - Dati non strutturati di tipi diversi? Nessun problema!\" src=\"https:\/\/player.vimeo.com\/video\/1215845684?dnt=1&amp;app_id=122963\" width=\"500\" height=\"281\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>6. Dati non strutturati di tipi diversi? Nessun problema.<\/strong> La ricerca semantica arriva fino alle immagini degli impianti. Dalla fotografia di un parco eolico colpito da una tempesta si ottiene la descrizione dell&#8217;incidente.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-vimeo wp-block-embed-vimeo wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"7 - Sicurezza, Query semantica, Talk to data\" src=\"https:\/\/player.vimeo.com\/video\/1217578370?dnt=1&amp;app_id=122963\" width=\"500\" height=\"281\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>7. Sicurezza, query semantica, talk to data.<\/strong> Tre verifiche in sequenza: il masking applicato alle risposte del chatbot, una query che incrocia tabelle, PDF e immagini, e il dialogo in linguaggio naturale. La clip si chiude sullo score di qualit\u00e0 del data product, ancora basso.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Seconda parte: controllo e governo della qualit\u00e0 con Irion Premium&nbsp;Data&nbsp;Quality &amp;&nbsp;Governance<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-vimeo wp-block-embed-vimeo wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"8 - L&amp;apos;accesso ai Data Product Denodo: configurare la pipeline\" src=\"https:\/\/player.vimeo.com\/video\/1216355516?dnt=1&amp;app_id=122963\" width=\"500\" height=\"281\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>8. Configurazione della pipeline e accesso ai data product Denodo.<\/strong> Dal wizard di Irion ci si collega alla vista preparata in Denodo, ereditandone metadati e policy di sicurezza. I controlli vengono eseguiti in pushdown, cio\u00e8 dove il dato si trova.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-vimeo wp-block-embed-vimeo wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"9 - Creare regole, user lab e pushdown con il Copilot AI wizard\" src=\"https:\/\/player.vimeo.com\/video\/1216413115?dnt=1&amp;app_id=122963\" width=\"500\" height=\"281\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>9. Il wizard Copilot AI per la creazione di regole.<\/strong> Il data analyst descrive il controllo in linguaggio naturale e il Copilot lo traduce in una condizione SQL. Le regole verificano la coerenza tra i dati del sistema sorgente e quelli letti dalle fatture.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-vimeo wp-block-embed-vimeo wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"10 - Monitor degli esiti e validazione\" src=\"https:\/\/player.vimeo.com\/video\/1216930800?dnt=1&amp;app_id=122963\" width=\"500\" height=\"281\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>10. Monitor degli esiti e validazione.<\/strong> Gli esiti confluiscono nell&#8217;hub, dove ogni regola \u00e8 associata a owner, ambito e scadenze. Da qui si validano e, in caso di anomalia, si gestiscono con una remediation o una justification.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-vimeo wp-block-embed-vimeo wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"11 - Dashboard e calcolo dei KQI\" src=\"https:\/\/player.vimeo.com\/video\/1216949533?dnt=1&amp;app_id=122963\" width=\"500\" height=\"281\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>11. Dashboard e calcolo dei KQI.<\/strong> Gli indicatori di qualit\u00e0 si analizzano per dimensione, owner e regola, e sono interrogabili anche da un LLM tramite MCP server. Lo score aggiornato torna in Denodo, e il data product si presenta agli utenti con un livello di affidabilit\u00e0 dichiarato.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Dal video all&#8217;incontro dal vivo<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Lo showcase mostra un esempio. Per discutere come applicarlo al proprio contesto, il 22 ottobre a Milano, alla Terrazza Palestro, Irion e Denodo organizzano l&#8217;evento &#8220;Trusted Data for AI&#8221;.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Un agente AI \u00e8 affidabile quanto i dati su cui lavora. Per questo, insieme a Denodo, abbiamo realizzato uno showcase che mostra l&#8217;integrazione tra le due soluzioni su un caso concreto: una utility del settore energy con dati su clienti, fatture e impianti, distribuiti tra database, API, cloud, documenti PDF e immagini. Le 11 clip, [&hellip;]<\/p>\n","protected":false},"author":191,"featured_media":70923,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[1654,109],"tags":[],"settori":[],"topics":[],"cliente":[],"partner":[],"authors":[],"personas":[],"knowledge_area":[],"use_cases":[],"class_list":["post-70829","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-management","category-notizie"],"gutslider_comments":0,"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Dati affidabili per l&#039;AI: lo showcase dell&#039;integrazione Denodo-Irion - Irion<\/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.irion-edm.com\/it\/notizie\/showcase-denodo-irion\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Dati affidabili per l&#039;AI: lo showcase dell&#039;integrazione Denodo-Irion - Irion\" \/>\n<meta property=\"og:description\" content=\"Un agente AI \u00e8 affidabile quanto i dati su cui lavora. 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