Architecture Disaster Recovery Report Software 
CIO Business Intelligence
MARCH 18, 2024
Every business in some form or another is looking to adopt and integrate emerging technologies—whether that’s artificial intelligence, hybrid cloud architectures, or advanced data analytics—to help achieve a competitive edge and reach key operational goals. We’re at a critical time for digital transformation.
CIO Business Intelligence
DECEMBER 22, 2023
To tackle that, businesses are turning their budgets toward the cloud, with two out of every three IT decision-makers planning to increase cloud budgets in 2024, and nearly a third (31%) reporting that 31% of their IT budget is earmarked for cloud computing, according to the 2023 Cloud Computing Study from CIO.com parent company Foundry.
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CIO Business Intelligence
OCTOBER 20, 2023
It can also improve business continuity and disaster recovery and help avoid vendor lock-in. Therefore, the framework enables IT teams to build applications on any software and in any environment, then deploy those across the multicloud environments seamlessly.
CTOvision
DECEMBER 10, 2015
Better CybeSecurity and Disaster Recovery. It is important to remember that SAAS is not only a software product but also a service. Key Evaluation Criteria - Software. Technology architecture: Infrastructure, Reporting, Integrations, Security architecture. Lower Cost of Ownership (our CFO loves that).
CIO Business Intelligence
JUNE 1, 2022
Participants reported life-changing abilities and more autonomy. On the topic of advances in storage, Dell Technologies recently announced updates to its storage portfolio , including the fastest-ramping architecture in the company’s 38-year history. Researchers conducted a two-year study of four people wearing the device.
CTOvision
JUNE 3, 2014
Project Rhino is a broad based open source security architecture addressing many of the major pillars of enterprise security including: perimeter security, entitlements and access control and data protection. Software maker Gazzang bought by California company (bizjournals.com).
CTOvision
JULY 9, 2014
The data is too big, moves too fast, or does not fit the structures of your database architectures. However, massively parallel processing (MPP) database architectures are one example of purpose-built technologies that have been developed to support both OLTP and OLAP data structures at enormous scales up into the petabytes (PB).
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