Machine learning (ML) is transforming industries. The barriers to widespread use of ML are rapidly disappearing thanks to the cloud. The cloud brings together data, low-cost storage, security, and ML services along with the high-performance CPU- and GPU-based compute instances that are essential to ML success. As the barriers come down, business can add conversational
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Molte delle organizzazioni odierne possiedono un gran numero di documenti essenziali per i processi aziendali. L’estrazione, l’elaborazione e l’analisi dei dati contenuti in questi documenti vengono tradizionalmente eseguite con sistemi e attività manuali, che risultano obsoleti, lenti, dispendiosi in termini di tempo e di costi, nonché difficili da dimensionare. Questo problema è diffuso in molti
Aziende in vari settori d’industria stanno cercando di integrare IA e ML (machine learning) nei flussi di lavoro per un’ampia gamma di processi essenziali, che includono il servizio clienti, la catena di distribuzione, le operazioni e il processo decisionale strategico. Tuttavia, può essere difficile per i leader di oggi e per i loro team separare
Il machine learning ormai non è più un concetto astratto, ma è diventato un significativo generatore di valore. Nonostante questo, molte organizzazioni faticano a comprendere come dovrebbe essere applicato per favorire il massimo impatto. In questo eBook abbiamo descritto sette casi d’uso principali in cui le organizzazioni hanno applicato con successo il machine learning per
In qualità di fornitore di software indipendente (ISV) che opera in un mercato altamente competitivo e in rapida evoluzione, subisci una crescente pressione a modernizzare e innovare continuamente le tue applicazioni. Solo in questo modo puoi soddisfare le crescenti richieste dei clienti di soluzioni software innovative e convenienti come i prodotti Software-as-a-Service (SaaS). Se non