Practical AI is the successful (and unsuccessful) learning from data by enterprises.
of papers with the keyword “deep learning” returned 14,685 citations, up from 107 papers in 2010.
This conclusion also applies to other activities performed by enterprises in all economic sectors, where the great promise demonstrated in research has not materialized in practice. Today’s vast research effort is by and large focused on developing and perfecting research methods, not on addressing the challenges of implementation and adoption by enterprises.
The prime example of a data-born enterprise is Google, a company that has contributed greatly not only to AI research but also to implementing AI in the service of its business goals and ambitions. Search has been the core competency of the company and, around 2015, it started to implement AI to improve its search results.
Levi Strauss & Co., established in 1853, is using computer vision and AI to enable customers to identify a “look” through images that enables the company to shape and create new products. “Today, Levi’s analyzes more data than ever to transform the product design process,”Shutterfly, established in 1999, has been collecting lots of data on how its customers design their photo albums—spending hours on sorting photos, cropping them, positioning them, etc.
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