Make Tonight Unforgettable with HotelTonight
In need of a last-minute hotel room for upcoming travel? How HotelTonight is using machine learning to disrupt the online travel booking industry.
Submissions
Shooting for the Stars
A Look at How NASA is Using Open Innovation to Solve Lofty Challenges
Narrative Science, the Automated Journalism Startup
Narrative Science’s technology can help journalists reach new heights – our replace them altogether.
Highway to the danger zone? Machine learning at DHL
Machine learning represents both a key opportunity and a critical threat to the shipping industry. How will the current players react?
Amazon Studios’ experiment in crowdsourcing scripts: were they right to abandon open innovation in developing new content?
In November 2010, Amazon Studios launched and opened its doors to allow anyone with a movie idea to submit a script to potentially be developed at the studio. After 7.5 years and over 27,000 submissions for both TV and film, Amazon pulled the plug on the project in April 2018 [1]. Why did Amazon Studios launch this open innovation platform for content creation? How did it work and why did they end the project? Were they right to stop crowdsourcing scripts for future development?
IBM Watson for Cybersecurity Takes Center Court at Wimbledon!
141-year-old tennis tournament – The Championships, Wimbledon utilizes IBM Watson to protect their brand against increasing risk of cybercrime.
ZOZO’S AMBITION: CAN YOU QUANTIFY “COOL”?
ZOZO, Japan’s dominant online retailer of apparel and related lifestyle products, with approximately $1B in sales and $7B in market capitalization, has taken on a journey to recreate the world of apparel to the next level. [1] It aims to do so in two steps: 1) enable mass customization of private-labeled apparel products, and 2) quantify all aspects of what makes styles “cool” to become the global leader in product design. Will ZOZO be able to drive the industry in offering customized yet stylish product for the mass? What capabilities will differentiate who will win in the long haul?
“News”, “News”, “Fake News”: Can Machine Learning Help Identify Fake News on Facebook?
Among those wishing for a do-over on the 2016 presidential election, Facebook is somewhere high on the list. Can machine learning help them avoid repeating their mistakes?
The long awaited tech disruption of the legal sector
Artificial intelligence, specifically machine learning, is not a new topic. IBM’s Deep Blue beat world chess champion Garry Kasparov over a series of chess matches in 1997. Since then, artificial intelligence has drastically improved in performance and is utilized across […]
Fighting Fake News with AI
We all have seen them: “news”, ads, chain messages. They are scattered with content supposedly selected for us: unreliable news, rumors, malicious texts try to divide communities, cities, nations and the world. Fake news is content created maliciously with the […]