How do we feed a growing population in the face of a changing climate and diminishing natural resources, all while protecting our planet? Monsanto thinks it has the answer: machine learning.
Facebook’s mission is to “Give people the power to build community and bring the world closer together”. However, the way Facebook employs machine learning algorithms promotes a narrow view of the world to its users. How can Facebook improve?
Introduction: Today, there are 560,000 “connected” Caterpillar machines – from back-office forklifts to high-powered 50-ton excavators – that have been outfitted with connectivity solutions designed to cut costs and drive productivity for customers. [1] Caterpillar, the leader in machinery innovation […]
Exploring the potential of the Digital Oilfield in revolutionizing the oil & gas and energy industries.
Over the past few years, Airbnb has developed machine learning algorithms that change how hosts and guests interact with listings. It's a major departure from their early human-centered design days. How should the young company balance data-driven design with human-driven design?
Through industry partnerships, a 200 million life database, and the use of artificial intelligence (AI), Optum Labs is confronting the daunting cost and quality challenges facing the U.S. health care system
Premise uses distributed data collection to gather valuable information for customers ranging from governments to businesses.
Spotify has invested heavily in machine learning capabilities to power its recommendation and personalization engines in a competitive streaming environment. Is this a competitive advantage the company can maintain?
The trend towards precision oncology and machine learning for cancer care is unmistakeable. In a fast-growing industry, however, it is important to consider the risks and unintended consequences of sharing data.
Paperless Parts harnesses big data to give local machine shops a big boost through rapid quotes and access to an Amazon-like marketplace.
