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 player and the arrival of self-driving vehicles. There have also been impressive impacts on everyday life, such as improved shopping recommendations or targeted advertising. Some Read more…
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, or “MVP”. There is no point in building a feature-rich and complicated piece of software if its bare-bones cannot solve a real problem you are Read more…
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 unlocking incredible value and unearthing transformative insights from their data. No matter the size or type of client, one thing remains constant: value is maximised Read more…
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 of geo-located data that was used to enact a policy change that arguable saved many lives. We also discuss using one of the latest ML Read more…
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 will malfunction in the engine you just built, timely knowledge about abnormalities is important. In this week-long case study we will look at a recent Read more…
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 we explore the prognostic powers of Decision Trees to predict how many hot chocolates are sold by an Edinburgh based bakery for a given hour Read more…
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 or market abuse within the transactions data taken from their trading team. There are plenty of off-the-shelf offerings in this space, but they tend to Read more…
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 huge corporations with deep pockets and, as with many technologies, they are each garnering support and scorn from the developer and user communities at large. Read more…