The infrastructure required to run Artificial Intelligence knows many different definitions, but in general it can be defined as a machine completing complex tasks intelligently, meaning that it mirrors human intelligence and evolves with time. An algorithm is a fixed set of instructions for a computer. It can be very simple like "as long as the incoming number is smaller than 10, print "Hello World!". It can also be very complicated such as the algorithms behind self-driving cars. and train deep Neural Networks are simplified abstract models of the human brain. Usually they have different layers and many nodes. Each layer receives input on which it carries out simple computations, and passes on the result to the next layer, by the final layer the answer to whatever problem will be produced. is so dauntingly complex, that it’s hampering enterprise deployments, experts say.
“55% of firms have not yet achieved any tangible business outcomes from , and 43% say it’s too soon to tell,” says Forrester Research about the challenges of transitioning from excitement to tangible, scalable success. “The wrinkle? is not a plug-and-play proposition,” the analyst group says. “Unless firms plan, deploy, and govern it correctly, new tech will provide meager benefits at best or, at worst, result in unexpected and undesired outcomes.”
Vendors are responding with prepackaged products and services aimed at accelerating adoption of enterprise . For example, Pure Storage recently teamed with Nvidia to release an integrated software and hardware bundle that’s tuned for workloads and data requirements. The goal is to help enterprises deploy a simplified infrastructure.
Enterprises stand ready to move into , according to industry watchers. Analysts predict increased adoption of data-driven applications across all verticals as companies look to retool business processes to be more efficient and deliver more personalized service to customers. technologies will be a top-five investment priority for more than 30% of CIOs by 2020, predicts Gartner.
Pure Storage, Nvidia, Arista bundle
“One of their biggest challenges is finding that onramp to and advanced analytics. Infrastructure is a huge problem,” says Matt Burr, general manager at Pure Storage for FlashBlade, the company’s storage platform. “AIRI solves that problem for them.”
AIRI, which stands for -ready infrastructure, combines FlashBlade, Nvidia DGX-1 supercomputers powered by Nvidia Tesla V100 GPUs, and Arista 100GbE switches for connectivity. AIRI is supported by the Nvidia GPU deep- stack and Pure Storage AIRI Scaling Toolkit. The combination delivers a fourfold improvement in data-scientist productivity, Pure Storage and Nvidia claim.
One AIRI customer, Call-center outsourcing provider Global Response., is working to retool its existing business processes using . Its plans include developing a call-center system that enables real-time transcription and analysis of customer support calls to increase speed and quality of service. The company wanted a simple foundation that would allow it to deploy at scale, and it chose AIRI.
Stephen Shooster, co-CEO of the call-center provider, says the integrated software and hardware bundle is enabling teams to get up and running in hours instead of weeks or months.
“We’ve reached an inflection point where integration of throughout our organization is critical to the ongoing success of our business,” Shooster said in a statement. “While we wanted to move quickly, infrastructure for was slowing us down because it is very complex to deploy.” With AIRI, “all of the question marks and complexities associated with are solved.” […]