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Ripensare il ruolo dei dati mainframe nell'intelligenza artificiale e nell'analisi Enterprise
Sfruttare le potenzialità dell'intelligenza artificiale con i dati dei mainframe.
Mentre le organizzazioni investono massicciamente in intelligenza artificiale e analisi per guidare decisioni aziendali più intelligenti, molte stanno scoprendo che una fonte critica di dati preziosi esiste già all'interno dei loro sistemi mainframe. Sfruttare appieno il potenziale di questi dati può amplificare significativamente l'impatto delle iniziative di intelligenza artificiale, ma spesso le difficoltà di integrazione ostacolano il loro percorso.
In un recente webinar, "Sfruttare i dati mainframe per l'analisi Enterprise basata sull'intelligenza artificiale", i leader del settore hanno esplorato come le aziende possono integrare senza problemi i dati mainframe nelle loro piattaforme di intelligenza artificiale e analisi per ottenere informazioni significative e favorire la crescita aziendale.
Dati mainframe: una fonte preziosa per ottenere informazioni utili dall'intelligenza artificiale.
92%
dei leader IT sta investendo in iniziative sui dati AI
28%
dei leader IT utilizza i dati mainframe nelle proprie iniziative sui dati
Un sorprendente 92% dei responsabili IT sta investendo attivamente nell'intelligenza artificiale per promuovere iniziative di analisi e gestione dei dati, con una media di cinque progetti pianificati o in corso. Tutte queste iniziative richiedono dati per alimentare l'intelligenza artificiale e i modelli analitici che le sostengono, ma dove si inseriscono i dati mainframe in questa equazione?
Grazie alla grande quantità di informazioni storiche e transazioni, i dati mainframe hanno il potenziale per dare un enorme impulso all'intelligenza artificiale e all'analisi avanzata. Non sorprende che tutti gli intervistati si affidino al mainframe per archiviare dati critici, sia nei settori finanziario, bancario, assicurativo, delle telecomunicazioni, della vendita al dettaglio e dell'e-commerce, dell'istruzione superiore o in altri settori.
Tuttavia, solo il 28% dei responsabili IT afferma di sfruttare ampiamente i dati mainframe nelle proprie iniziative basate sui dati. Ciò rappresenta una chiara opportunità per le aziende di ottenere un valore ancora maggiore dai propri investimenti in intelligenza artificiale.
Fai il passo successivo verso informazioni basate sull'intelligenza artificiale
Per ottenere informazioni più approfondite su come le organizzazioni sfruttano o pianificano di sfruttare i dati mainframe nell'ambito delle loro iniziative di intelligenza artificiale e analisi, Rocket Software, insieme a Foundry, ha intervistato oltre 200 leader aziendali e decisori.
Leggi il report completo per scoprire come questi leader e decisori visualizzano i dati del loro mainframe e per saperne di più sulle soluzioni Rocket Software, progettate per aiutarti a sfruttare al meglio le iniziative di intelligenza artificiale e analisi.
Per una panoramica pratica su come trasformare i dati del mainframe in un catalizzatore per l'innovazione dell'intelligenza artificiale, guarda il webinar on-demand:
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