Europe’s largest online fashion retailer, Zalando, started in 2008 as a European copycat of Amazon and Zappos.com. It’s market leader position is under pressure – Can machine learning enable the company to stay ahead?
Twine Health is a digital health company with a chronic disease management application. Its platform draws heavily on machine learning to improve patient outcomes and save costs.
Many fans and analysts liken American football to a game of chess. Each team strives to stay one step ahead of its opponents, and the team with more talented players can lose any game if their gameplan is poor. With machine learning, the NFL can develop tools to help its teams optimize their in-game strategies, and put players in the best position for success.
Over the last several decades, apparel retailers have struggled with the complexities of increasingly varied product assortments and changes in long established seasonal shopping patterns. As retailers implement new strategies to stay ahead of the demand for an omnichannel shopping […]
Facebook's strengths in machine learning put the company in difficult ethical dilemmas. How far should the company be willing to go, and how does it balance the potential impact it has on society and its users' privacy?
Artificial intelligence is changing the way Cigna and other health insurers engage with users, enabling improved health outcomes and lower costs.
Machine learning techniques are starting to break down inefficiencies in lending markets, enabling wider access to credit and putting downwards pressure on borrowing rates. This post explores how LendingClub uses machine learning to reach its strategic goals, and where the potential for process improvement still exists.
Google Assistant's new feature can make a real phone call to make a reservation on your behalf.
In an increasingly competitive and innovative landscape, can Airbus use machine learning to improve efficiency while not sacrificing on safety?
Can products be on their way to you even before you think of ordering them? Can a company accurately anticipate your order and ship before you even place it? Amazon and other online retailers are investing in machine learning to more accurately forecast consumer demand and reduce fulfillment and shipping costs
