In this episode of the A.I. Journey, Ron is sitting down with Raoul Grouls, a Senior Data Scientist at Anchormen and Rens van de Schoot, Professor of Statistics at Utrecht University with Small Data Sets, a member of the Royal Netherlands Acade

Data Complexity in the Manufacturing Industry

Feb 19th, 2021 1h 5m

MRO (Maintenance, Repair & Overhaul) Optimization and spare-parts management has been left forgotten for the most part by the Manufacturing industry for a long time. In the face of growing complexity, conflicting departmental interests, and ina

Data Hub Platform

Dec 14th, 2020 57m 17s

Big Data has come a long way from a corporate buzz word to the cultural and technological behemoth of nowadays. Today, most organizations understand that if they manage their data properly, they can apply analytics and machine learning to get v

Digital Transformation

Nov 23rd, 2020 48m 18s

With a background (in) and passion for Physics, and an impressive career at companies such as KPN, the Justice Department, and for more than 20 years consulting at Quint, Jan Heuthorst joins this podcast episode to share his experience in Digit

Internet of Things (IoT)

Sep 30th, 2020 1h

In this episode of the A.I. Journey, Jeroen and Ron sit down with Patrick Beitsma, Data Activation Architect at Anchormen, to tackle the topic of Internet of Things (IoT). The podcast starts with demystifying the main concepts such as Indus

Data Maturity

May 29th, 2020 58m 36s

In this episode of the A.I. Journey, Jeroen and Ron sit down with freelance Data Scientist and Enterprise A.I. evangelist, Longhow Lam to talk about Data Maturity within organizations, data scientists, and the dutch landscape as a whole.Start

Explainable A.I.

Mar 3rd, 2020 1h 1m

In the second episode of the A.I. Journey Podcast, Jeroen and Ron sit down with Pim Haselager, Associate Professor at the Donders Institute for Brain, Cognition & Behavior, to talk about all the burning questions relating to Explainable A.I.Th

Is A.I. better at avoiding bias?

Feb 10th, 2020 51m 15s

This podcast takes off with Jeroen and Ron talking about how algorithms can become biased and they discuss this on the basis of the gender bias hiring example. How can you avoid black box algorithms and force the neural network to represent its

Rate