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.
In an industry where time is everything, legal technology is increasing both the efficiency and the accuracy of review. And this is only the beginning.
How Microsoft and its partners are harnessing the power of AI and Machine Learning to empower 1 Billion people in the world living with a disability
Exploring the potential of the Digital Oilfield in revolutionizing the oil & gas and energy industries.
At Marlo, we're building an AI engine for time management. We're starting with an MVP to solve event discovery for HBS students – want early access? (https://www.getmarlo.com)
Traditionally, government organizations (NOAA) and private companies (the Weather Company) have collected massive amounts of data via satellites and sensors, but weather forecasting models have had mixed success. IBM’s purchase of TWC in 2016 combines this data with a refined model to provide a hyper-local forecasting system that could revolutionize natural disaster preparation efforts globally.
Global financial institutions spend billions of dollars on credit card fraud. American Express is fighting this fraud through investment in machine learning.
The world's largest meat processing company begins experimenting with machine learning in their plants. Developing and implementing these smart machines, capable of performing skilled and dexterous tasks, is pushing the current boundaries of automation.
Is using Artificial Intelligence in military applications evil? Are programs like Project Maven necessary to decrease civilian casualties and reduce error in an era with "smart" drones and other advanced weaponry?
J.P. Morgan is using AI to execute trades and assist corporate clients with payments. Other banks are also working on similar initiatives. Can AI help J.P. Morgan and other big banks retain customers and differentiate from competitors?