Crowd-sourcing the Secret of Life: 23andMe and Open Innovation
How direct-to-consumer genotype company 23andMe uses open innovation to drive genetic research
How direct-to-consumer genotype company 23andMe uses open innovation to drive genetic research
AI-driven product development may help GM find an edge in an industry that has increasingly trended towards conformity in the face of uncertainty. Can GM use machine learning to transform from a company hedging its risk by dabbling in everything new – to a company that thrives on compressed, cost effective design cycles with measurable results?
The poor state of mineral exploration and the potential role machine learning will play in the future
Can Verb Surgical use advanced robotics and machine learning to deliver high quality surgical care to the 5 billion [16] people around the world who desparately need it?
Applying machine learning to agriculture, John Deere is committed to innovation.
Generally, machine learning is perceived for computer technology-driven firms. This article examines the use of machine learning in an old world industry such as oil and gas.
Managing sales and account management teams using data and machine learning
GE is investing heavily in additive manufacturing and has achieved early success in the aerospace industry. Will these early successes help to revolutionize conventional manufacturing?
Image Credit: (Photo by Jack Taylor/Getty Images).
Retail is not typically the industry that comes to mind when implementing new technologies—high fashion and big tech typically do not mix. But through the use of machine learning, Burberry is revolutionizing this notion to improve its in-store customer experience. The question remains, however, whether it will continue this trend in other aspects of their business.
As Boeing invests more heavily in additive manufacturing for its satellite business, will customers accept uncertainty around the long-term reliability of 3D-printed components?