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…
Read More
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…
Read More
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…
Read More
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…
Read More
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…
Read More
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…
Read More
Helping Change Ahead make a difference to the lives of homeless and vulnerable individuals
Angel Simeonov
How does Xerini build software? One of Xerini’s mottos is that the first iteration of a piece of software should be a minimum viable product,…
Read More
What can machine-learning do for your business?
Alex Luketa
The revolution in artificial intelligence (AI) and machine learning (ML) over the last decade has seen headlines such as DeepMind’s AlphaGo beating a world-master Go…
Read More