Nevertheless, infinite computing is a force to be reckoned with because it can deliver solid enterprise value. Moreover, these next-generation technologies are helping companies reinvent their business models.
“They can't be really measured in the traditional, I jokingly say, ‘bean-counter’ ROI models,” Mueller said. “It's all really about changing your company in different directions — where you think best practices can be enabled and new markets can be created.”
At a more granular level, infinite computing expands the flexibility and agility of enterprise IT departments. Companies can limit vendor lock-in and bring portability to their IT workloads.
“What's being provided right now by vendors, like, for instance, Nutanix, is the portability across different public cloud permutations and on-premise private cloud permutations,” Mueller said.
The ability to select and implement cloud technologies pragmatically to meet a particular company’s needs is critical, according to Mueller. Getting locked into one or vendor can hinder a company’s adoption of hybrid cloud.
He sees building hybrid clouds as crucial because it enables — and encourages — workload portability.
Portability, in turn, can help companies avoid getting stuck with vendors that fall behind in the relentless scrum for cloud dominance.
“You don't know, actually, who's going to be the winner in the cloud game,” Mueller said. “You don't want to be tied into a losing platform.”
Companies have to find the right deployment platforms and build code that’s transportable across those platforms.
“Workload portability is very, very important to CIOs and CTOs today — so you don't have the lock-in effect,” Mueller said.
As infinite computing culminates in deep learning, IT leaders will be able to respond rapidly to change.
“Artificial intelligence changes everything in the enterprise to levels where we can't think what could be computed right now,” he said.
Automated learning algorithms can overcome natural human biases. Deep learning systems can plug the talent gaps for companies that lack access to the best minds in computing and data science.
As Mueller concluded in his report on accelerating enterprise technologies:“The biggest benefit is closing the insight-to-action loop, taking slow reaction times, human delays, processing errors and oversight out of the equation of business success.”