Bumble: Is Machine Learning the Future of Online Matchmaking?
Bumble: can online-dating apps use machine learning to substantially increase its ability to accurately matchmake and create values for its users?
Bumble: can online-dating apps use machine learning to substantially increase its ability to accurately matchmake and create values for its users?
Grupo Aval, the largest financial group of Colombia, is using open innovation to counter emerging fintech competition.
This paper will focus on Facebook’s use of machine learning to manage political content on its site. Today, with platforms like Facebook, content is being generated by a wider range of sources, which has eroded the credibility of the political information on Facebook. Recently, we have seen this occur with the proliferation of “fake news”, specifically falsified political information. This development has significant implications for Facebook and risks alienating its user based which can impact its bottom line and user base. It is Facebook’s mission to create a constructive community that brings people together to create positive experiences. False news is “harmful to [their] community” and “makes the world less informed” which inherently “erodes trust” with its users. In this context, using machine learning and other statistical tools to identify inaccurate and manipulated information is paramount to Facebook’s efforts to combat the spread of such information.
The intersection of big-box retailers and saving the planet – Optoro uses machine learning to optimize return logistics both for organizations' bottom line and the environment.
Getting repair parts to sailors at sea and soldiers at the front lines of combat is a logistical nightmare. The U.S. Military thinks Additive Manufacturing technology can help.
Natural Cycles is a leader in the innovative field of digital contraceptives and fertility tracking devices, but can its success be sustained after news of unexpected pregnancies among users?
How can additive manufacturing help the US leader of the chocolate industry to address the current challenges facing its industry?
Deutsche Bahn is investing heavily in additive manufacturing. How can they best incorporate this technology into their future supply chain?
2.5 billion people in the world don’t have access to financial services. Tala is a startup trying to access this market by evaluating user’s credit worthiness using only their smartphone data.
How Machine Learning is disturbing the world of Real Estate.