Nel panorama attuale, tra nuovi dispositivi, lavoro da remoto e collaborazioni con partner di tutto il mondo, i dati sono il denominatore comune che permette alle aziende e agli enti pubblici di andare avanti, senza soluzione di continuità. Per garantire la sicurezza degli ambienti dedicati ai dati in tutti i punti di contatto, l’approccio tradizionale
The public cloud IaaS and PaaS market was worth $84.8 billion in 2019, and this combined market is anticipated to grow at 27% CAGR over the next five years, according to IDC. Within the context of this heavy push into the cloud, Virtana commissioned a survey to better understand organizations’ multicloud deployment, experience, and success.
The original premise of the public cloud was to provide a simple and cost-effective alternative to building, maintaining, and operating your own data center. But the reality is more complex, and ensuring your workloads continue to perform as expected at the lowest possible cost requires proactive attention. You have to consider thousands of configuration choices
If your organization is a typical large enterprise, you’ll have hundreds to thousands of active applications—from the most straightforward internal file-sharing tool to your mission-critical internal and customerfacing workloads. And, the chances are that your organization is already in the cloud. Perhaps your business units leverage Google Office or Microsoft Office 365 for collaboration and
Read on for five common mistakes enterprises make when it comes to hybrid/multi-cloud migration and ongoing optimization and management, and how you can help prevent these missteps for your organization.
Most companies are embracing cloud, but very few are transitioning completely to public cloud. Even the most digitally advanced companies have a strong on-premises preference, but they are the most open to using cloud alongside this. Almost all workloads — with suitable optimization — are now capable of running in the public cloud. However, most
The original promise of the public cloud was to provide a simple and cost-effective alternative to hosting your own servers in a data center. Many new technological innovations have arisen in pursuit of that goal, however, the complexities involved in running a public cloud have only become increasingly troublesome to master—and quite expensive.
While machine learning has moved beyond the hype to become a meaningful driver of value, many organizations struggle to understand where it should be applied to make the most impact. In this eBook, we have outlined seven leading use cases where organizations have successfully applied machine learning to solve business problems and achieve fast, efficient,
Tackle organizational inefficiencies by innovating beyond traditional search tools that can hinder productivity. In this eBook from AWS, you’ll discover the significant ways that intelligent search unlocks new possibilities for enterprises, including boosting productivity, improving customer interactions, and accelerating research and development. Read Seven Reasons Why Your Enterprise Needs Intelligent Search to find out how
Today’s customers expect more, but your business can be one step ahead. Act fast to meet the rising demands for personalized, tailored experiences. Machine learning-powered personalization changes how customers interact with brands and their products to deliver better business outcomes and increase brand loyalty. Read this eBook to discover how you can use AWS services