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Product–services bundles boost AI

Product–services bundles boost AI

The infrastructure required to run artificial intelligence algorithms and train deep neural networks is so dauntingly complex, that it’s hampering enterprise deployments, experts say.

SwissCognitive“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.” […]

  1. A reason for the reticence of SME to utilize AI and other forms of digitalization could be that for 60 years, ‘lean management’ has been the industry mantra. Now, lean management means that teams resolve problems and improve their processes independently, largely relying on human intelligence and what they call common sense. This hands-on approach has improved the cost structure and kept companies in business, in spite of Europe’s/Switzerland’s high salary costs. Transforming human common sense into artificial intelligence could mean a lot of itemizing, labeling and bureaucratizing before any efficiency gains will be registered. A professor at the University of Applied Sciences in Rapperswil recently pointed out at an event on digitalization that lean management should by no means be abolished. Digitalization (and later, so I assume, artificial intelligence) should kick in where interconnections are too complex for humans to grasp, e.g. if it makes sense to produce a lot of 1, 5 or 150 of a certain model, and in which order different products should be produced to ensure delivery as well as optimal use of production resources. My conclusion: only if ‘lean’ and ‘artificial’ can be combined will SME foster the new technologies.

  2. Pingback: Cloud Computing - A Game Changer | SwissCognitive - The Global AI Hub

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