Today, we’re letting you in on what a senior engineer’s day often looks like – as penned by our very own James Bradbury.
How open-source tools transform the way Unai works
Meet the Unai hackathon winners: Automators of intensive care
Why relationships should be at the heart of data science
Given that we’re data scientists, you might think that engineering or algorithmic or logic lies at the heart of what we do. But while those are all important components, they’re simply tools for the job.
Over the years, we’ve learned that data science is a creative process - and the magic that makes it work - the linchpin we place at the heart of everything we do - are relationships.
Art or science? Why Data Science isn’t what you think it is
Most people, when they hear the words ‘data science’, imagine a field that draws entirely on the far left side of the brain. A world of input and output, algorithms and calculation that provides you with the hard analysis you need to make objective decisions.
It’s a well-intentioned but misleading perspective.
The truth is, data science is multifaceted. It’s investigative work, it’s innovative, and it’s an evolving field - one where technology, methodology and problem solving collide.
And fundamentally, at its heart, data science is a creative process.
5 ways to commercialise your data (and no, we don't mean selling it)
Ultimately, to make the most of your data, you want to commercialise it. For the record, we’re not talking about selling user data to other companies here. This is about using the information you have to make better decisions - for your customers, in your operations and in your strategy.
So let’s break that down.
Outsourcing data projects - 5 common mistakes to avoid
You want to make your data projects count. There’s no point wasting time and resources when there are simple ways to make the most of the process. But before we jump into what you shouldn’t do when outsourcing a data project, first let’s take a step back and look at a project that ran like a dream for one of our clients.
