{"id":19214,"date":"2022-09-08T08:09:13","date_gmt":"2022-09-08T12:09:13","guid":{"rendered":"https:\/\/drive2data.com\/it\/?p=19214"},"modified":"2024-05-02T10:57:22","modified_gmt":"2024-05-02T14:57:22","slug":"geocyber-per-il-tracking-dei-fenomeni-criminali","status":"publish","type":"post","link":"https:\/\/drive2data.com\/it\/geocyber-per-il-tracking-dei-fenomeni-criminali\/","title":{"rendered":"GEOCYBER PER IL TRACKING DELLE VIOLAZIONI DI SICUREZZA"},"content":{"rendered":"

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<\/span><\/p>\n

C\u2019\u00e8 una correlazione tra la nostra vita quotidiana sempre pi\u00f9 digitalizzata e lo sviluppo di tecnologie semantiche<\/strong> nel campo della Sicurezza<\/strong>. Andando oltre il sogno, ci rendiamo conto di come oggi i sistemi di Machine Learning<\/strong> possano rappresentare uno strumento indispensabile per gli operatori della sicurezza pubblica e privata, non solo per classificare, ma anche correlare in modo sempre pi\u00f9 accurato immagini, suoni e parole. Parliamo di GeoCyber <\/strong>in campo Security, <\/strong>abilitata da tecnologie di Semantic Recognition, Audio Recognition & Video Recognition.<\/strong><\/span><\/p>\n

Semantica ed NLP<\/strong><\/span><\/h2>\n

Partiamo da due brevi definizioni che ci aiutano a focalizzare meglio di cosa stiamo trattando:<\/span><\/p>\n

    \n
  1. La semantica<\/strong> \u00e8 quel ramo della linguistica che si occupa di studiare il significato delle parole e degli enunciati di un linguaggio.<\/span><\/li>\n
  2. Il Natural Language Processing<\/strong> (NLP) di cui abbiamo gi\u00e0 parlato nell\u2019articolo \u201cNatural Language Processing: task, applicazioni e Sentiment Analysis\u201d<\/em><\/a> \u00e8 la branca di Intelligenza Artificiale<\/strong> che si occupa di rendere comprensibile il linguaggio umano (o naturale) a un computer. Per fare un esempio banale: i chatbot dell\u2019assistenza clienti.<\/span><\/li>\n<\/ol>\n

    Quindi, per catturare il significato dei dati semantici<\/strong> e trasformarli in informazioni di valore<\/strong>, utilizziamo il Natural Language Processing. Il riconoscimento delle entit\u00e0 \u00e8 data da una classificazione delle parti di testo attraverso l\u2019assegnazione di tag. Le categorie possono essere svariate come ad esempio luoghi<\/strong>, aziende<\/strong>, nomi di persona<\/strong>, ecc.<\/span><\/p>\n

    Un uso sempre pi\u00f9 comune \u00e8 quello che riguarda l\u2019estrazione d informazioni da documenti di governance, come report e procedure, per permettere una rapida consultazione.<\/span><\/p>\n

    \u00a0<\/span><\/p>\n

    GeoCyber & Security<\/strong><\/span><\/h2>\n

    Le soluzioni di GeoCyber<\/strong> sviluppate da Drive2Data<\/strong>\u00a0sono frutto di un\u2019esperienza ultraventennale nel trattamento di dati semantici e territoriali, unita alle ultime innovazioni in campo di Intelligenza Artificiale, Modelli Neuronali ed NLP.<\/span><\/p>\n

    \u00a0<\/span><\/p>\n

    Tracking della violazione della sicurezza: le soluzioni di Drive2Data<\/strong><\/span><\/h3>\n

    Grazie alla tecnologia all\u2019avanguardia di Drive2Data, \u00e8 possibile tracciare attivit\u00e0 criminose e violazioni e raccogliere informazioni utili per le indagini.<\/span><\/p>\n

    La vera forza innovativa della GeoCyber<\/strong> sta nell\u2019unione di tecnologie diverse che, partendo dall\u2019analisi di grandi moli di dati eterogenei, creano classificazioni e correlazioni tra gli stessi in modo automatico, offrendo agli operatori della sicurezza un valore aggiunto senza precedenti.<\/span><\/p>\n

     <\/p>\n

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    C\u2019\u00e8 una correlazione tra la nostra vita quotidiana sempre pi\u00f9 digitalizzata e lo sviluppo di tecnologie semantiche nel campo della Sicurezza. Andando oltre il sogno, ci rendiamo conto di come oggi i sistemi di Machine Learning possano rappresentare uno strumento indispensabile per gli operatori della sicurezza pubblica e privata, non solo per classificare, ma anche […]<\/p>\n","protected":false},"author":1,"featured_media":19220,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[],"tags":[205],"class_list":["post-19214","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","tag-geocyber"],"yoast_head":"\nGEOCYBER PER IL TRACKING DELLE VIOLAZIONI DI SICUREZZA - Drive2Data Inc.<\/title>\n<meta name=\"description\" content=\"Parliamo di GeoCyber in campo Security, abilitata da tecnologie di Semantic Recognition, Audio Recognition & Video Recognition\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/drive2data.com\/it\/geocyber-per-il-tracking-dei-fenomeni-criminali\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GEOCYBER PER IL TRACKING DELLE VIOLAZIONI DI SICUREZZA - 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