An Apple a Day Keeps Premiums at Bay: AI at Discovery Ltd.
Exploring the trajectory and potential of machine learning in incentive-based insurance at Discovery Ltd.
Process Improvement
Teladoc about Machine Learning
Telehealth has recently emerged as a convenient alternative to the traditional in-person health care appointment. Teladoc, the oldest and largest telehealth company, provides 24/7 access to physicians worldwide via audio or video consultations. Patients use the Teladoc website or mobile […]
It’s all open at Wikimedia Foundation
“Imagine a world in which every single human being can freely share in the sum of all knowledge.”
Can Walmart Machine Learn its Way to the Top?
In a war between Amazon and Walmart for the e-commerce crown, who will ultimately win?
Keeping It Fresh in Packaged Food: An Examination of Open Innovation at Mondelez International
This piece briefly examines the adoption of various open innovation practices by Mondelez International to better react to competitive pressures and position itself for long-term sustainable growth
Toronto Raptors: Machine Learning as a Method for Improving the Roster Decision Process
In the competitive world of professional basketball, organizations such as the Toronto Raptors are turning to AI to improve the roster decision process in order to gain a competitive advantage in the race for a championship team.
Xcel Energy – Utilizing Machine Learning to Efficiently and Reliably Incorporate Renewable Energy into the U.S. Energy Grid
Given the importance of addressing climate change and adding renewable generation to the energy grid, Xcel Energy is using machine learning to overcome the challenges of the intermittent nature of wind power.
Google and Gmail: Machine Learning for Defense, Not Disruption
How Google is using Machine Learning to keep Gmail (and other core products) ahead of the rest.
3D Printing the Future of Rail at Deutsche Bahn
Deutsche Bahn is investing heavily in additive manufacturing. How can they best incorporate this technology into their future supply chain?
The Dark Side of Machine Learning: An Amazon Case Study
From startups to Big Tech, everyone loves to tout their strategy for leveraging machine learning (ML). These companies promise ML is our 21st century savior; it will not only liberate us from the tedious drudgery of administrative tasks but will arm us with near-perfect predictions. But the technology has a dark side, one that few companies adequately acknowledge and even fewer are equipped to handle.