Toutiao, a wildly popular news reader app in China, has recently reached a valuation of $20 billion in last round of $2 billion fundraising. Started by a former software engineer Yiming Zhang in 2012, Toutiao experienced exponential growth for the […]
Flatiron Health is using data and analytics to tackle cancer, which it believes cannot be “solved” by just the healthcare community – it needs the technology industry as well. Therefore, since Flatiron started in 2012, it has grown to nearly […]
When you watch your favorite film, maybe it is “THE KING’S SPEECH”, or “SLUMDOG MILLIONAIRE”, or “ARGO”, have you ever thought that these successful productions would have never been shoot into films if it was not because of a website called “The Blacklist”?
Ancestry.com is combining cutting edge DNA testing with Family Trees to create and unlock value.
South African insurance company Discovery reduces claims cost 11% by helping its insurers drive better … and save up to 50% on fuel in rewards!
The gaming industry has faced significant changes and disruption in the past few years. As one of the world’s biggest publishers of video games, how is EA responding to the challenges?
King is a video game development company that specializes in casual mobile games. The company’s commitment to data collection and utilization helped it generate roughly $2 billion in 2017 and have kept its most popular game, Candy Crush Saga, as the highest grossing iOS game 6 years after its launch.
Ginger.io is using smartphone data to draw insights and offer customized care for people engaging with mental illness.
During an era of fitness wearable proliferation, WHOOP has become the favorite for professional athletes in the NFL, MLB, and NBA. Some of the highest profile athletes in the world are using WHOOP including both Olympian Michael Phelps and NBA star Lebron James. However, while WHOOP’s main differentiator is its data-driven approach, I wonder if it will have a hard time selling itself to the casual fitness consumer, especially given WHOOP’s $500 price point.
MedAware’s machine-learning algorithms mine data gathered from millions of electronic medical records to detect outliers in prescription behavior and flag them in real-time to healthcare providers
