Tweets – short on characters, high on information

The following blog post is a joint venture between Fredrik SCHALLING and Hampus PETTERSSON. For more information about the authors, please see our Authors section. Introduction Customer experience has since long been measured through actively reaching out in customer surveys through phone calls or questionnaires to get the current satisfaction of customers. Now good businesses... Continue Reading →

AI and the value of work

Introduction For those who follow Sopra Steria Analytics Sweden and expect the customary end-to-end manual to some model or technique, this post will be a major disappointment as it is entirely devoted to a discussion on the impact of AI on labor and on what could be called "the value of work". It is my... Continue Reading →

At the stop, waiting for the bus

The timetable says one time, the real-time system shows another and the reality something completely different. Many of us have at some point experienced the frustration of waiting for a bus to arrive at a given time, only to still be waiting 10 minutes after the given time. Can't trust the time shown on the... Continue Reading →

When AI goes Peltarion

A while ago, I wrote a blog post on convolutional networks (A gentle introduction to Image Recognition by Convolutional Neural¬†Network) in which I described the mathematics and inner workings of these networks. To write the post I created a model to classify "birds" and "airplanes" from a training set containing a total of 8000 images... Continue Reading →

DICOM, A useful and secure medical data format and an introduction to non-medical learning pathology detection using Convolution Neural Networks

Important note to the reader This blog can be seen as both a description of a particular R-package, oro.dicom, which is widely used in medical research in which imaging and patient information is used and as an introductory post to a future blog on pathology detection using convolutional neural networks. As many who read my... Continue Reading →

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