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Integrare l'intelligenza artificiale e i dati mainframe per accelerare l'innovazione del cloud
Sfruttare i dati del mainframe per l'innovazione guidata dall'intelligenza artificiale
L'intelligenza artificiale e l'analisi avanzata stanno trasformando i settori industriali, ma molte organizzazioni faticano a sfruttare appieno i preziosi dati archiviati nei loro mainframe. Questi sistemi contengono decenni di transazioni aziendali critiche, record dei clienti e informazioni operative, ma senza un'integrazione perfetta, questi dati rimangono inutilizzati.
Il whitepaper, "Ripensare il ruolo dei dati mainframe nell'intelligenza artificiale e nell'analisi Enterprise," esplora come le aziende stanno superando queste sfide per ottenere informazioni in tempo reale, migliorare l'efficienza e favorire un processo decisionale più intelligente.
Integrando i dati mainframe con i dati cloud ibridi nelle piattaforme di intelligenza artificiale e analisi, le aziende possono:
- Migliora il processo decisionale con informazioni più approfondite e in tempo reale.
- Scopri dove e come migliorare l'efficienza operativa.
- Rafforza la sicurezza e la conformità con il rilevamento dei rischi basato sull'intelligenza artificiale.
- Scopri nuove opportunità di guadagno attraverso l'analisi predittiva.
92%
dei leader stanno attivamente perseguendo l'intelligenza artificiale per promuovere iniziative di dati e analisi
76%
dei leader ha affermato di aver trovato difficile l'accesso ai dati mainframe e ai metadati contestuali
Fonte: Sondaggio condotto da Foundry e Rocket Software nel maggio 2024.
La sfida: sbloccare i dati mainframe per l'intelligenza artificiale
Sebbene il 92% delle organizzazioni investa attivamente in analisi basate sull'intelligenza artificiale, molte hanno ancora difficoltà a integrare i dati mainframe.
Gli ostacoli più comuni includono:
- Processi complessi di estrazione e recupero dei dati.
- Problemi di sicurezza e conformità durante lo spostamento di dati sensibili.
- Limitata predisposizione all'intelligenza artificiale dei principali sistemi transazionali.
- Lacune nelle competenze tecniche per la gestione dell'integrazione dei dati aziendali.
Come Rocket® DataEdge potenzia le analisi basate sull'intelligenza artificiale
Rocket® DataEdge Consente alle aziende di ottenere un maggiore valore di business dalle proprie iniziative di intelligenza artificiale, analisi dei dati e aziendali, aprendo la strada all'innovazione futura. Combinando potenti funzionalità di data intelligence, replica e sincronizzazione dei dati e virtualizzazione dei dati, Rocket DataEdge è in grado di gestire e integrare anche gli ambienti dati più complessi.
Esplora i risultati completi sui dati mainframe e sull'intelligenza artificiale
Il whitepaper "Ripensare il ruolo dei dati mainframe nell'intelligenza artificiale e nell'analisi Enterprise " illustra il modo in cui le aziende stanno affrontando l'adozione dell'intelligenza artificiale, le sfide che devono affrontare e le strategie per integrare i dati mainframe nelle moderne piattaforme di analisi.
Leggi il whitepaper ora per esplorare le tendenze del settore, i casi d'uso reali e le best practice per sfruttare appieno il potenziale dei dati del tuo mainframe.
Contenuti correlati
Unire i dati del mainframe con il cloud ibrido per ottenere informazioni più solide basate sui dati
Molte aziende incontrano difficoltà nel connettere i dati mainframe all'infrastruttura cloud. Infatti, il 76% dei responsabili IT cita le difficoltà di accesso ai dati mainframe come un ostacolo all'utilizzo dei dati mainframe.
Dove i leader lottano per superare le sfide dei dati mainframe
Rocket Software
2 minuti di lettura
Mainframe data has the potential to dramatically enhance AI initiatives and advanced data analytics projects.
Modernizzazione dell'infrastruttura con Rocket® Data Replicate and Sync
VicRoads è un'agenzia governativa statale di Victoria, in Australia, che possiede, gestisce e regolamenta la rete stradale arteriosa, fornisce iniziative per la sicurezza stradale e servizi di registrazione e licenza incentrati sul cliente.
