1-800-Flowers And IBM Watson Take On The Future Of Gifting, And The Future Of Relationships
How will machine learning impact gifting as a retail business? 1-800-Flowers is partnering with Watson to innovate their customer experience.
How will machine learning impact gifting as a retail business? 1-800-Flowers is partnering with Watson to innovate their customer experience.
Machine learning is disrupting traditional industries such as transportation (ride-hailing) and financial services (credit scoring, robo-advisory). Can it also transform the traditionally human-intensive healthcare industry too?
Additive manufacturing shows tremendous potential for commercial and humanitarian applications, but it also presents ethical questions and the potential for unintended consequences.
This article explores the negative effects of undesired crowdsourcing and how it has been used in the battle field to yield catastrophic results.
As the threat of payment fraud grows in the digital era, First Data has developed its own machine learning capabilities to improve the process of threat detection.
Non-profit New Story will employ additive manufacturing to provide affordable housing in underdeveloped and disaster-struck regions.
In the realm of deep learning, your eyes can be a window to your health. Google aims to leverage machine learning for high tech healthcare solutions.
With Razor maker, Gillette is one of the first brands of big FMCG companies that bets on mass customization through 3D printing. It’s a bold but much-needed move to revert the trend of losing market share and declining brand loyalty.
In an increasingly digital world, Lego, the famous plastic construction toy company, continues to generate interest in physical toys and to build brand loyalty by leveraging crowdsourcing and user co-creation for popular product innovations.
Sephora as the leader in technological innovation within the retail industry has made significant advances in using data science to advance product personalization and customization. This essay surveys recent developments and poses questions to the challenges in inventory management and production technology the personalization trend entails.