The hype about hyperconverged infrastructure is causing technology leaders to rethink their data architecture strategies. This blog explains when businesses should adopt HCI, and when they shouldn’t.
Digital transformation – in particular the move to cloud – has completely changed the way we work. However, if I’m honest, it hasn’t been very straight forward. I wasn’t surprised when I discovered, thanks to a Rackspace survey, that 94 per cent of c-suite executives have regrets following a cloud migration.
AI-driven enterprise SaaS technology would help achieve revolutionary increases in efficiencies by enabling centralised management of buildings in real-time.
Examine how banks can achieve synergistic benefits of robotic test automation (RTA) in pre-production and robotic process automation (RPA) in production for competitive advantage.
The telecom sector is arguably the world’s largest consumer of network, storage and compute resources today. The power generation and distribution sector is also seeing a huge influx of consumer data. The infrastructure needed to manage this scale of data would add significantly to cost pressures. A look at how energy and utilities can gain from Hyperscale DCs.
Businesses, in their haste to move to the cloud, often fall for untested cloud architecture, or even an unproven cloud service provider (CSP) – often failing to make sure the CSP’s capabilities fit their own business strategy needs.
The IT Department, which was hitherto a “supporting” function, is suddenly being looked at as the “most critical” function for implementing their digital business strategy needs.
Businesses need holistic data management practices that can link data across applications and business functions. Growing legislation has heightened the need for effective and secure data management policies.