As long as vanity exists there will be a market for skincare. Learn more about how innovative companies leverage artificial intelligence, machine learning, and big data to disrupt a $140B global skincare market.
Square brought small business payment terminals into the modern day. The simple, clean Square dongle has become widely recognized as the icon of new-age payment. Now, the company is eyeing its valuable set of transaction data to make loans. Square’s visibility into otherwise secretive transaction data allows them to loan to business owners on the basis of business performance.
Could this be the future of lending?
Machine learning helps Birchbox stand out from the competition by sending the right products that customers will love and continue to order in an online and offline world.
Tired of being given lemons by traditional insurers, customers are turning to Lemonade
In 2009, New York City launched the BigApps competition, inviting citizen-hackers to work together to create applications that improve the lives of New Yorkers. BigApps spurred a grass-roots movement for an Open Data law and served as a fecund source of ideas for the Mayor’s office. The City of New York should increasingly use design thinking processes for application development. In addition, BigApps should challenge citizen-hackers to produce solutions to diverse problems, beyond the quotidian experience of software developers.
BankMobile looks to machine learning and alternative data sources to boost the bottom line.
Can consumers and regulators be convinced?
While machine learning and artificial intelligence technologies enable the CIA to process vast amounts of information, algorithms are far from replacing human spies. James Bond will still have his job.
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?
Players in the automotive industry are getting prepared for major disruptions to come in the next 10 to 15 years. Urban mobility (car/ride/bike sharing) and autonomous vehicles1 are disruptive trends that heavily rely on machine learning. A concern for traditional […]
Machine learning and big data are used by online micro-credit providers to grow China's burgeoning consumer credit industry at record pace. Will these new tools introduced in recent years create or destroy absolute value in the long-term? How will the leaders of the industry leap forward in an increasingly short innovation cycle?