The pace and scope of AI breakthroughs
The biggest opportunities still lie ahead but a recent Harvard Business Review study revealed that ambitious, transformational moon shots “are less likely to be successful than “low-hanging fruit” projects that enhance business processes”.
Intel sees this in its work with customers too. The ones that have the most success with AI start their journey by spinning up smaller-scale proofs of concept (PoCs) with existing infrastructure. Their current Intel® Xeon® processor-based data center provides an ideal opportunity to prove the value of AI using a flexible, general purpose foundation with a competitive total cost of ownership. And then, when it comes time to scale up, they can turn their attention to fine-tuning the combination of compute, software optimizations and processor memory bandwidth so critical to AI performance.
In its AI work with customers, Intel sees the ones that have the most success with AI start their journey by spinning up smaller-scale proofs of concept with existing infrastructure.