CRAFTED
A collection of articles, opinion and thoughts from the Xerini community.
Predicting Railway Equipment Failures Using Recurrent Neural Networks
Angel Simeonov
Introduction The need to find abnormalities in a system is undeniably universal. From detecting incoming emails offering unsolicited products to figuring out if a gear…
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Unlocking the Value of Geo-Located Data
Alex Luketa
What value is residing in geo-located data and how easy is it unlock this value? In this post, we explore one of the first uses…
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AWS, Azure, GCP – the VHS, Betamax, and Laser Disc of Cloud Providers?
Simon Burgess
There are three heavyweights in the ring when it comes to Cloud Providers: Amazon’s AWS, Microsoft’s Azure, and Google’s GCP. They are all backed by…
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Finding Fraud using Anomaly Detection and Unsupervised Learning Anomaly Detection
Alex Luketa
The compliance director of one of our clients approached us recently about creating a software system that would help them with the detection of fraud…
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Predicting bakery sales with machine learning in Apache Spark™
Alex Luketa
Who doesn’t like a nice warm mug of hot chocolate, especially on a cool winter’s day? We at Xerini certainly do and in this article…
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Just Listening Well Isn’t Enough: You Need to Understand…
Simon Burgess
Xerini works with a broad range of clients, from construction companies to investment banks, helping them to navigate their most complex data stories and thereby…
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