Starbucks has been an innovator in big data and machine learning through its highly successful mobile order and pay application. How can that translate to China, its next leg of growth?
machine learning
Promise and Peril for Machine Learning at Netflix
As the amount of content, competition, and subscribers in the online media space grows, Netflix is turning to machine learning to provide a more entertaining experience for its customers. While they are investing heavily in their proprietary recommendation engine and enjoying the benefits of increased customer retention, questions are emerging around how far into customer profiling a machine learning algorithm should ideally go.
How Spotify Beat Apple, Amazon, and Google Using Machine Learning
In an era in which Apple, Amazon, and Google are dominating the technology world, Spotify has succeeded in besting all of them in the music streaming industry. The question is then, how is Spotify able to fend off its major competitors, who are much more established in the technology industry?
Equipping the Revolution: Hardware Wars in the Age of Machine Learning
In the machine learning gold rush, Amazon, Google, and Microsoft are competing for cloud computation dominance. Currently second in the market, Microsoft is poised to gain significant market share through its major investment in FPGAs (field-programmable gate arrays) for advanced, deep neural network applications.
Machine Learning and the Future of Agriculture
The world faces a fundamental food problem: quantity versus quality. For the last several decades these two notions have been at odds, with the gap widening. What can put a stop to this?
Machine Learning: Powering the Insurance Industry’s “Buy It Now” Button
The rise of big data and machine learning has created new opportunities for incumbent insurers and competitors alike.
GM and Machine Learning Augmented Design
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?
Machine Learning for Exploration
The poor state of mineral exploration and the potential role machine learning will play in the future
Collaborative autonomy in the Operating Room: Verb Surgical and Democratized Surgery
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?
Smart Farming – How One Company is Doubling Down on its Commitment to Precision Agriculture
Applying machine learning to agriculture, John Deere is committed to innovation.