What would the smartest city in the world look like? And how would we even begin to plan, build, and maintain it? This is exactly what Alphabet-owned Sidewalk Labs is trying to figure out with their latest Toronto waterfront development called Quayside. With the help of machine learning, and other enabling technologies, Sidewalk Labs is “reimagining cities to improve quality of life.”
Sephora harnesses user data to offer pinpointed product recommendations, offers, and loyalty incentives
Amazon’s application of machine learning to e-commerce transformed customers’ buying behaviors forever; the firm’s newest brick-and-mortar offering threatens to similarly revolutionize consumers’ retail experiences.
With the advent and further sophistication of machine learning, Fitbit is positioned to do more than just track your fitness and activity data.
Toppr, online tutoring platform in India is innovating by using data and machine learning to create a personalised learning platform for K-12 students. What are some of the issues they are facing, how have they solved it and what is the way forward?
How Machine Learning impacts Products and its development for Car Manufacturers.
Police departments are increasingly using predictive algorithms to determine "hot spot" potential crime areas.
Retailers are facing intensifying challenges including stagnation in brick-and-mortar sales, increase in e-Commerce offerings and sales, and changes in consumer browsing and purchasing behaviors. Realizing that data is one of its most valuable assets, Nordstrom is leveraging machine learning to secure a competitive advantage, remain afloat and survive the Amazon Era. Is it maximizing the value it can generate from ML?
Many U.S. physicians feel that health care digitization has created serious headaches with limited benefits for patients. Will machine learning soon change their minds? Partners HealthCare, a health care system that oversees two world-class Boston hospitals, certainly thinks so.
On March 28, 2017, BlackRock fired 7 fund managers and replaced them with algorithms, leading many to question: are machines taking over?
