Is the value proposition of 3-D printing eyewear in inventory management and limited made to order customization, or in fully consumer designed eyewear?
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Salesforce and the Machine (Learning Revolution)
Machine learning is here to stay and Salesforce is poised to ride the nascent revolution of analytics into the future and beyond…if they can adapt their successes to other parts of their growth strategy.
D.E. Shaw: Double Down or Diversify?
D.E. Shaw has been a pioneer in quantitative investing since it was founded in the late 80s. Since then, it has focused its efforts on machine learning and other AI-based investment strategies.
FEWER PILOTS IN THE COCKPIT—MORE OPPORTUNITIES FOR MACHINES
Looming worldwide pilot shortage opens doors for machine learning and other technical solutions.
When Machine Learning Influences Your Vote: Lessons from Cambridge Analytica in the 2016 US Presidential Elections
Machine learning is changing the landscape of political advertising. Consumers need greater transparency into how their personal data influences the political messages they see online.
Machine learning in the Chemicals industry: Lyondellbasell
Despite limited investments to date, the industrial giant is primed to extract benefits from machine learning across its value chain
Streamlining Humanitarian Aid with Additive Manufacturing at Oxfam
After the devastating Nepal earthquake, Oxfam used 3D printing to provide faster aid. This post explores that example as well as the other ways that 3D printing can revolutionize the supply chains of humanitarian organizations.
Soaring to new heights with additive manufacturing at GE Aviation
GE Aviation is investing heavily in additive manufacturing to help develop the next line of jet engines. As they develop these skills, they seek to not only make better products, but use this to get an edge in delivering new engines faster.
Made In Space. Literally.
Additive manufacturing could revolutionize spacecraft construction, and one company is making it happen.
Personalized Styling at Scale: What is the right balance between machine and human input?
Stitch Fix delivers personalized styling at scale through a combination of machine-learning algorithms and human input. As they continue to scale into new markets and new business lines, what is the right balance of machine vs. human input?