Supported by the right network and services, enterprises can use a hybrid cloud platform to comply with data regulations, streamline devops and support edge applications. Azure Stack is a case in point.
By Brandon C. Curry and Jeffrey BannisterJan, 29 2018
Today, the artificial intelligence (AI) hype wouldn’t exist without cloud computing. Only the easy access to cloud-based innovative AI services (machine learning etc.) and the necessary and fast available computing power enable the developments of novel “intelligent” products, services and business models. At the same time, AI services ensure growth of public cloud providers like Amazon Web Services, Microsoft and Google. Thus, one can observe a “cloud-AI interdependency.”
The glass replacement provider has shifted to a hyperconverged infrastructure to help support AI- and IoT-based services aimed at better serving customers, says Matthew Coy Safelite's head of infrastructure and operations.
It’s December, which means “predictions season” for those of us in the tech world. It’s always fun to hear what pundits foresee – and even more fun to see how it all holds up twelve months down the line.
The number of cloud-hosted applications is poised to increase by 40 percent over the next two years. Yet, research finds that successfully mastering the transition and transformation phase remains a challenge.
For any service management framework or approach to remain relevant, their core focus must be to help shift and reorient organizations away from systems-centric or even service-centric operating models to customer-centric ones.
75% of customers are willing to pay a premium for enhanced hosting and cloud services. Cloud users are willing to pay an average 30 percent premium for enhancements such as security, uptime and performance. Still, many providers fail to meet customers’ expectations
Industry experts expect the Internet of Things to generate about 44 trillion gigabytes of additional data worldwide by 2020. Which drives us to the central question: What is the best technology architecture to adopt to plan for this explosive data trend? Local, cloud, or hybrid architectures? The answer, as always, depends on the use case.
In 1977, the Eagles released “Hotel California,” a song about drugs and the effects an addiction has on people. Putting "We are all just prisoners here, of our own device" in the context of our today’s digital lifestyle we find a lot of truth. There is a reason why Google provides most of its services for free or why Amazon wants us to have an Echo in every home or why Facebook has become our directory of “friends”. What looks pretty convenient is a threat. It is a threat to the end consumers but also a threat to the established economy. And even if we have the choice to check out any time – we will never leave.
Rather than advancing their digital strategies, focusing on cost savings is still the top priority for companies using the cloud. Yet, many of them are struggling to garner the desired economic benefits.
With breaches making headlines around the world, the IT marketplace is looking for new ways to protect applications and data. With App Defense, VMware has built a security product with virtualization in mind.
Traditional financial services providers have tightened their lending requirements, leading to tougher barriers for regular customers to find funding. For many small business owners, this harder path to access financing through loans means that they are left with few channels to uncover the capital they need.
It is almost impossible to avoid the cloud in any sized organization, but negotiating with your software provider means several key considerations need to be addressed to ensure you execute a best-in-class cloud agreement.
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