The 10th edition of this series puts the spotlight on two organizations at which I had the pleasure of helping to teach students the humble beginnings of data, analytics and data visualization: Avans and HAN (Hogeschool van Arnhem en Nijmegen). My sources for this post are Gerben Muller, who initially
La Inteligencia Artificial conquista nuevos ámbitos de nuestra vida y está cada vez más presente en nuestro día a día, ya sea en las sugerencias de productos o contenidos que consumimos, en asistentes digitales que nos facilitan tareas o incluso en el diagnóstico precoz de enfermedades. Pero, al mismo ritmo
Dutch project aims to increase safety of gall bladder surgery Predictive models and medical image analysis have the potential to transform health care delivery today. To accelerate the innovative approaches, teams around the world are converging in a global hackathon as organized by SAS to advance the field of health
According to the Forbes and SAS panel of experts, the biggest technological revolution in humankind’s history is happening right now. To be a part of it, companies need to build their own sets of ethical artificial intelligence principles. Tackling the ethical issues is the key to successfully harnessing the incredible
Interview with VW: Patrick van der Smagt, director of the Volkswagen Group's Machine Learning Lab.
Dans un monde du crédit où la compétition est exacerbée et les pressions sur les marges de plus en plus fortes, les méthodes traditionnellement mises en œuvre montrent leurs limites. Toute la chaîne de traitement de l’octroi de crédit doit se transformer, profondément et rapidement, au travers de l’IA. Le
Collaboration in the cloud is definitely the next big thing from my perspective for life sciences organisations.
If you want to hear more about Responsible AI, join the virtual conference “Artificial Intelligence & The Ethics Mandate” on March 16th at 11:00 am CET.
As delinquencies rise in the wake of COVID-19, lenders must harness technology to orchestrate omnichannel contact strategies.
A key component to make sure that we develop responsible AI is diversity. This is because an AI application reflects and even amplifies the biases of its developers. As I discussed in my previous post, a diverse team will see things from many different points of view and help to
